Docstoc

Dev Ind 2011

Document Sample
Dev Ind 2011 Powered By Docstoc
					1    Indicator      1   Gross Domestic Product (GDP) grow th
2    Category           Current grow th
3    Goal               GDP grow th of 6% per annum
4    Trend analysis     Since recovering from the crisis of 2009, GDP has remained at relatively depressed levels due to low levels of domestic and international demand.



5    Data               Table 1               GDP GROWTH (Year on Year) South Africa
                        %                      1994  1995   1996    1997     1998    1999                       2000       2001       2002         2003    2004       2005       2006         2007    2008       2009        2010
                        GDP growth              3.2   3.1     4.3     2.6     0.5     2.4                        4.2        2.7        3.7          2.9     4.6        5.3        5.6          5.5     3.6        -1.5        2.9

                        Table 2               GDP Growth ( Year on Year) Other countries
                        %                                      1996    1997     1998    1999                    2000       2001       2002         2003    2004       2005       2006         2007    2008       2009        2010
                        Country
                        Argentina                                     5.5        8.1        3.9         -3.4    -0.8        -4.4      -10.9         8.8     9.0        9.2        8.5          8.7      6.8        0.9         9.2
                        Australia                                     4.2        3.9        4.4          5.2     4.0         2.0        3.8         3.2     4.1        2.8        3.1          3.8      3.7        1.3           -
                        Botswana                                      5.6       10.2       10.6          5.1     5.9         3.5        9.0         6.3     6.1        1.6        4.5          4.8      2.9       -4.9         7.2
                        Brazil                                        2.2        3.4        0.0          0.3     4.3         1.3        2.7         1.1     5.7        3.2        4.0          6.1      5.2       -0.6         7.5
                        Canada                                        1.6        4.2        4.1          5.5     5.2         1.8        2.9         1.9     3.1        3.0        2.8          2.2      0.5       -2.5         3.1
                        Chile                                         7.4        6.6        3.2         -0.8     4.5         3.4        2.2         3.9     6.0        5.6        4.6          4.6      3.7       -1.7         5.2
                        Colombia                                      2.1        3.4        0.6         -4.2     4.4         1.7        2.5         3.9     5.3        4.7        6.7          6.9      3.5        1.5         4.3
                        Ghana                                         4.6        4.2        4.7          4.4     3.7         4.0        4.5         5.2     5.6        5.9        6.4          6.5      8.4        4.7         6.6
                        Iceland                                       4.8        4.9        6.3          4.1     4.3         3.9        0.1         2.4     7.7        7.5        4.6          6.0      1.4       -6.9        -3.5
                        India                                         7.6        4.1        6.2          7.4     4.0         5.2        3.8         8.4     8.3        9.3        9.3          9.8      4.9        9.1         9.7
                        Indonsia                                      7.6        4.7      -13.1          0.8     4.9         3.6        4.5         4.8     5.0        5.7        5.5          6.3      6.0        4.6         6.1
                        Keny a                                        4.1        0.5        3.3          2.3     0.6         3.8        0.5         2.9     5.1        5.9        6.3          7.0      1.6        2.6         5.3
                        Korea, Republic                               7.0        4.7       -6.9          9.5     8.5         4.0        7.2         2.8     4.6        4.0        5.2          5.1      2.3        0.3         6.2
                        Malay sia                                    10.0        7.3       -7.4          6.1     8.9         0.5        5.4         5.8     6.8        5.3        5.8          6.5      4.7       -1.7         7.2
                        Mexico                                        5.1        6.8        4.9          3.9     6.6        -0.2        0.8         1.4     4.1        3.2        5.2          3.3      1.5       -6.1         5.5
                        Poland                                        6.2        7.1        5.0          4.5     4.3         1.2        1.4         3.9     5.3        3.6        6.2          6.8      5.1        1.7         3.8
                        Portugal                                      3.7        4.4        5.0          4.1     3.9         2.0        0.7        -0.9     1.6        0.8        1.4          2.4      0.0       -2.5         1.3
                        Slov ak Rep                                   8.0        5.7        4.4          0.0     1.4         3.5        4.6         4.8     5.0        6.7        8.5         10.6      6.2       -6.2         0.5
                        South Af rica                                 4.3        2.6        0.5          2.4     4.2         2.7        3.7         2.9     4.6        5.3        5.6          5.5      3.6       -1.5         2.9
                        Spain                                         2.4        3.9        4.5          4.7     5.0         3.6        2.7         3.1     3.3        3.6        4.0          3.6      0.9       -3.7        -0.1



6    Graph                     GDP GROWTH

                             10.0
                              8.0
                              6.0
                              4.0
                              2.0
                         %




                              0.0
                             -2.0
                             -4.0
                             -6.0
                             -8.0
                                    MJ SDM J SDM J SDMJ SDM J SDM J SDMJ SDMJ SDMJ SDMJ SDM J SDMJ SDM J SDMJ SDMJ SDM J SDM J SDMJ S
                                     1994     1995       1996       1997       1998       1999      2000       2001       2002       2003     2004        2005       2006       2007     2008        2009       2010       2011



7 Data form at          Percentage change in GDP
8 Definition            GDP is market value of all final goods and services produced w ithin a country in a given period of time; Real GDP is the nominal GDP adjusted for
9 Data source           1. South African Reserve Bank (SARB) Quarterly Bulletins based on Statistics South Africa's data. Data supplied by National Treasury
                        2. World Bank Development Indicators, w w w .w orldbank.org

10   Data Note          The quarterly data series is used for the graph, w hile the table uses annual data ( see dataset below )
                        Annual percentage grow th rate of GDP at market prices based on constant loal currency.


                                              1994                                               1995                                       1996                                       1997                                             1998                       1999                      2000                      2001                      2002                      2003                               2004                      2005                       2006                     2007                       2008                        2009                       2010                2011
      Gross Domestic                      M          J          S          D          M          J         S          D          M          J         S          D          M          J         S          D          M            J             S    D     M     J        S    D     M      J       S    D     M     J        S    D     M     J        S    D     M     J           S          D     M     J        S    D     M     J        S    D     M      J        S    D     M      J      S    D     M      J        S     D      M      J       S    D     M      J        S    D     M        J     S   D
       Product (GDP)
           growth
                                      -0.6      4.4        4.6        6.8        1.5        1.8         1.7      1.6        5.7        7.7          4.6     3.8        1.2        2.5          0.8      0.6        0.5            0.6          -0.9   0.4   3.7   3.2     4.4   4.5   4.6   3.7     4.0   3.4   2.6   2.0     1.1   3.1   5.3   4.9     3.3   2.7   3.8   2.0        2.2         2.3   6.2   5.7     6.7   4.3   4.1   7.4     5.6   2.7   6.2   6.7      5.8   6.4   6.5   3.1    5.0   6.0   2.9   4.5      1.8   -1.7   -6.3   -2.8    1.8   3.5   4.0   2.8      3.1   4.5   4.6     1.3   1.4




DRAFT                                                                                                                                                                                                                                                                                                                                                                             Page 1 of 83
 1 Indicator        2 Real per capita GDP growth
 3 Goal               To grow per capita income by 3 per cent or more annually
 4 Trend analysis     Real GDP growth has recovered, but remains below the levels achieved in the previous decade due to poorer growth conditions.



 5 Data               Table          Real per capita GDP growth
                      %                   1994           1995          1996          1997          1998          1999          2000          2001          2002          2003          2004          2005          2006          2007          2008          2009          2010
                      Per Capita
                      GDP                   1.1           1.0           2.1           0.5          -1.6           0.2           2.1           0.8           1.9           1.3           3.1           3.9           4.2           4.3           2.4          -2.6           1.9


 6 Graph
                              REAL PER CAPITA GDP GROWTH

                                   5.0

                                   4.0

                                   3.0

                                   2.0

                                   1.0
                          %




                                   0.0

                               -1.0

                               -2.0

                               -3.0
                                   1994           1995          1996          1997          1998          1999          2000          2001          2002          2003          2004          2005          2006          2007          2008          2009          2010



 7 Data format        Annual GDP per capita at 2000 constant prices: percentage change
 8 Definition         GDP divided by population
 9 Data source        South African Reserve Bank (SARB) Quarterly Bulletins based on Statistics South Africa's data. Data supplied by National Treasury




DRAFT                                                                                                                            Page 2 of 83
 1   Indicator        3 Net Foreign Direct Investment ( Net FDI)
 2   Category           Sustainable growth
 3   Goal               To increase greenfield investment in South Africa
 4   Trend analysis     FDI remains fairly low, and more importantly there is little greenfields FDI into South Africa

 5 Data                 Table                            Net Foreign Direct Investment ( Net FDI)
                                                               1994        1995        1996         1997     1998     1999     2000         2001       2002        2003           2004         2005           2006          2007      2008       2009     2010
                        Net FDI             R'billions       -3.040      -4.557      -0.970         6.756   -6.737   -0.475   4.280       85.763     20.753       1.275       -3.566          36.354      -44.625       19.224      100.291    35.708     9.547


 6 Graph                                NET FOREIGN DIRECT INVESTMENT (NET FDI)


                                        127.5

                                        102.0
                                                                                                                                      Annual data: display only year, not month
                                         76.5

                                         51.0                                                                                         Ashraf: we need to have the same data in dollar terms
                            R'billion




                                         25.5

                                          0.0

                                        -25.5

                                        -51.0

                                        -76.5
                                             1994           1995         1996        1997           1998     1999      2000     2001          2002        2003         2004            2005            2006          2007          2008       2009      2010


 7 Data format          Annual figures in rand in billions
 8 Definition           Long-term direct investment by foreigners in the economy
 9 Data source          South African Reserve Bank (SARB) Quarterly Bulletins. Data supplied by National Treasury




DRAFT                                                                                                                  Page 3 of 83
 1 Indicator            4 Gross fixed capital formation
 2 Category                Sustainable growth
 3 Goal                    To reach 25% per year by 2014
 4 Trend analysis          Fixed investment has fallen, including private sector investment and general government investment, while SOE investment remains fairly strong. Investment levels have not fallen to the pre-
                           boom low level equilibrium, which is a positive sign.

 5 Data                    Table                          Gross Fixed Capital Form ation
                                                               1994        1995       1996      1997       1998    1999    2000       2001           2002       2003       2004       2005          2006        2007       2008       2009          2010
                           GFCF                      %         12.2        15.9        16.3     16.5       17.1    15.3     14.9       14.8          14.7       15.5       16.0        16.8          18.3       20.1       23.0       21.8          19.6

                                          GROSS FIXED CAPITAL FORMATION AS PERCENTAGE OF GDP
 6 Graph

                                          24.0

                                          22.5

                                          21.0

                                          19.5
                             % of GDP




                                          18.0

                                          16.5

                                          15.0

                                          13.5

                                          12.0
                                                 M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J
                                                   1994       1995        1996       1997      1998       1999    2000    2001       2002          2003       2004       2005       2006          2007       2008       2009       2010      2011




 7 Data format             Quarterly at annualised rate as a percentage of GDP
 8 Definition              Total fixed investment by private companies and individuals, state owned enterprises and government, including depreciation
 9 Data source             South African Reserve Bank (SARB) Quarterly Bulletins. Data supplied by National Treasury
10 Data Note               The quarterly data series is used to update the graph, while the table uses annual data

   Table
                           Gross fixed capital form ation
                                                     1994                                         1995                                      1996                                           1997                                           1998                             1999                          2000                          2001                          2002                            2003                              2004                          2005                          2006                          2007                          2008                         2009                          2010                   2011
                                          M           J           S           D            M          J      S       D           M          J             S          D          M          J             S          D          M          J           S      D      M       J       S      D      M       J       S      D      M       J       S      D      M       J       S      D      M         J           S      D      M       J       S      D      M       J       S      D      M       J       S      D      M       J       S      D      M       J       S      D      M       J      S      D      M       J       S      D      M         J   S   D
   Gross Fixed
   Capital Formation/
   GDP%
                                        12.4      12.6        12.8        13.0        13.3     13.8        13.8    13.8     14.1       14.3          14.3       14.4       14.6        14.7          14.7       14.8       15.1       15.0          15.5   15.7   14.4   13.7     13.5   13.6   13.6   13.7     13.8   14.0   13.9   13.8     13.8   13.6   13.7   13.6     13.8   14.0   14.1     14.6         14.9   15.3   15.6   15.7     16.0   16.4   16.4   16.6     16.8   17.3   17.4   17.6     18.0   18.3   18.9   19.3     19.3   19.5   20.3   20.7     21.6   22.2   21.9   21.5    20.7   20.3   19.9   19.8     19.7   19.6   19.5     19.6




DRAFT                                                                                                                                                                                                                                                                                                                                                                                            Page 4 of 83
 1   Indicator        5 Budget surplus or deficit before borrowing
 2   Category           Economic governance
 3   Goal               Fiscal policy aims to smooth economic cycles while increasing expenditure on government priorities
 4   Trend analysis     South Africa followed an agreed international strategy of countercyclical fiscal policy after the 2008-09 shock. Hence, the deficit ballooned to nearly 6 percent. As international demand remains anaemic,
                        government continues to borrow, but the deficit is slowly reducing.



 5 Data                 Table                        Budget Surplus or Deficit before borrowing as percentage of GDP
                                                        1993/94     1994/95    1995/96     1996/97     1997/98     1998/99       1999/00      2000/01      2001/02      2002/03       2003/04   2004/05    2005/06    2006/07    2007/08   2008/09     2009/10      2010/11
                        Budget
                        Deficit                  %          -5.6       -4.6        -4.5       -4.6        -3.8         -2.3         -2.0         -2.0         -1.4         -1.1          -2.3       -1.4       -0.3       0.6        0.9        -1.2        -6.6        -4.6


 6 Graph                 BUDGET SURPLUS OR DEFICIT BEFORE BORROWING AS A PERCENTAGE OF GDP

                                       1.5


                                       0.0


                                       -1.5
                            % of GDP




                                       -3.0


                                       -4.5


                                       -6.0


                                       -7.5
                                              1993/94     1994/95    1995/96     1996/97     1997/98     1998/99       1999/00      2000/01      2001/02      2002/03       2003/04       2004/05    2005/06    2006/07    2007/08    2008/09     2009/10     2010/11



 7 Data format          Budget deficit/surplus as a percentage of GDP
 8 Definition           Difference between total government revenue and expenditure as percentage of GDP
 9 Data source          National Treasury, Medium Term Budget Policy Statement, Budget Review and National Treasury Budget Vote debate




DRAFT                                                                                                                            Page 5 of 83
 1 Indicator       6 Government debt
 2 Category          Economic governance
 3 Goal              Government aims to limit its debt and reduce its demands on the financial markets. This normally leads to lower interest rates and higher private-sector investment
 4Trend analysis     As government is forced to continue borrowing because of low levels of international demand, the debt level is rising. It is expected to approach 40% of GDP, but not to reach the levels of the mid-
                     1990s. It is still a manageable level of debt by international standards.


 5 Data              Table                        Government debt as a percentage of GDP
                                                     1994/95   1995/96    1996/97     1997/98         1998/99     1999/00    2000/01    2001/02    2002/03   2003/04   2004/05    2005/06     2006/07      2007/08   2008/09    2009/10      2010/11
                     Government
                     Debt                     %         49.7       50.4        49.1         48.9         48.7        48.1        44.4       45.3      38.8      39.3      36.6       34.7        32.5         26.9       23.9        26.8         33.5


                                 GOVERNMENT DEBT AS PERCENTAGE OF GDP
 6 Graph

                                 58.5

                                 53.0

                                 47.5
                      % of GDP




                                 42.0

                                 36.5

                                 31.0

                                 25.5

                                 20.0
                                   1994/95   1995/96     1996/97     1997/98      1998/99          1999/00      2000/01     2001/02     2002/03    2003/04   2004/05    2005/06     2006/07      2007/08       2008/09     2009/10      2010/11




 7   Data format     Gross government debt as percentage of GDP
 8   Definition      In this definition, government includes national and provincial spheres. Forward estimates of foreign debt are based on National Treasury's exchange rate projections
 9   Data source     South African Reserve Bank. Data supplied by National Treasury
10   Data note       Net loan debt is gross loan debt minus National Revenue Fund bank balances and is calculated with due account of the bank balances of the National Revenue Fund (balances of government's
                     accounts with the Reserve Bank and the tax and loans accounts with commercial banks). Fiscal year starting April 1 every year




DRAFT                                                                                                                Page 6 of 83
 1 Indicator      7 Interest rates: real and nominal
 2 Category         Macroeconomic stability
 3 Goal             Government would like to have low real interest rate that does promote the sustainability of growth and employment creation
 4 Trend analysis   Nominal and real interest rates remain at levels lower than seen for decades. However, this low interest rates environment has not translated into employment creation as would expected.



 5 Data
                        Table                      Interest Rates
                                                        1994        1995       1996    1997    1998    1999            2000       2001            2002       2003       2004       2005    2006    2007       2008       2009       2010
                        Real Interest                     6.7         9.2       12.2    11.4    14.8    11.1             6.8        7.2             6.5        8.2        7.0        6.7     6.6     6.7        3.8        4.6           5.5
                        Nominal Interest                 15.6        17.9       19.5    20.0    21.8    18.0            14.5       13.8            15.8       15.0       11.3       10.6    11.2    13.2       15.1       11.7           0.0


 6 Graph                                       INTEREST RATES
                                        27.0


                                        22.5
                                                                                                                                                                                                                                                      `
                                        18.0
                             rate (%)




                                        13.5


                                         9.0


                                         4.5


                                         0.0
                                                   D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J
                                               1994    1995         1996       1997    1998    1999    2000           2001        2002           2003        2004       2005       2006    2007    2008       2009       2010    2011



                                                                                                              Real interest               Nominal interest



 7 Data format          Rate
 8 Definition           Nominal interest rate is = prime overdraft rate. Real interest rate is = prime less Consumer Price Index
 9 Data source          South African Reserve Bank (SARB). Data supplied by National Treasury
10 Data note            Real interest rates calculated in the past using CPIX inflation as the deflator (See indicator 8: Inflation Measures)




                                 1994                                  1995                               1996                                                  1997                                  1998                                        1999                           2000                          2001                        2002                         2003                                 2004                         2005                          2006                         2007                        2008                          2009                          2010                2011
                                               D           M               J       S      D       M           J               S      D                M             J          S      D       M           J          S      D             M       J         S      D      M       J       S      D      M       J       S      D      M       J     S      D      M       J         S           D      M       J      S      D      M       J      S      D      M       J       S      D      M       J      S      D      M       J     S      D      M       J       S      D      M       J      S     D     M        J   S   D
                   Real interest     6.5                  7.1         6.8       10.8    11.9    12.0    14.1            11.9       10.8            10.6       10.9       11.6       12.4    13.4    14.5       17.3       14.6          12.5   11.4       13.5   13.5   11.7    9.6      7.9    7.5    7.1    7.8      8.6    8.7    8.6    7.6    5.9    4.2    5.7    8.2       10.1        12.8   13.6   13.5    12.2    9.4    9.0    8.5     8.1    8.4    8.5    8.2      7.6    7.7    7.4    6.7     7.2    7.1    6.1    5.2    4.0    5.5    5.6    3.9      4.3    4.5    4.7    5.5     6.4   5.7   5.2     4.4
                   Nominal interest 16.3                 17.1        17.5       18.5    18.5    18.5    20.2            19.5       19.9            20.3       20.3       20.3       19.3    18.9    19.6       25.0       23.7          21.0   18.7       16.8   15.5   14.5   14.5     14.5   14.5   14.5   14.3     13.3   13.0   14.3   15.3   16.3   17.0   17.0   16.5       14.5        11.8   11.5   11.5    11.2   11.0   11.0   10.5    10.5   10.5   10.5   10.7     11.3   12.2   12.5   12.7    13.3   14.2   14.5   15.2   15.5   15.3   14.0   11.7     10.7   10.5   10.3   10.0     9.8   9.2    9       9




DRAFT                                                                                                                                                                                                                                                                                                                                                                          Page 7 of 83
 1 Indicator         8 Inflation measures: Consumer Price Index (CPI) and Consumer price index excluding interest rates on mortgage bonds (CPIX)
 2 Category                Macroeconomic stability
 3 Goal                    Inflation target is 3 - 6 per
 4 Trend analysis          Inflation is rising, but current conditions ensure that it is not likely to rise above the ceiling rate of 6% for a significant period of time

 5 Data                    Table                             Inflation Measures
                           Average                                  1994           1995     1996       1997       1998       1999         2000         2001         2002          2003           2004         2005         2006          2007       2008             2009          2010       2011
                           CPI                                       8.9            8.7       7.4       8.6        6.9         5.2         5.3          5.7           9.2          5.9            1.4          3.4          4.6           7.1        11.5             7.2             4.3      5.0


 6 Graph
                                          INFLATION MEASURES
                                         INFLATION MEASURES

                                          15.0
                                          15
                                           13.5
                                         13.5
                                           12.0
                                           12
                                           10.5
                                         10.5
                                            9.0
                                            9
                                            7.5
                             rate rate
                                  (%)




                                            6.0
                                          7.5
                                            4.5
                                            6
                                            3.0
                                          4.5
                                            1.5
                                            3
                                            0.0
                                          1.5
                                           -1.5
                                            0
                                           -3.0
                                                                M   S D
                                                  MM J J SS DD M JJ S D M J           D M                                 D M J S D D J J S D M
                                                                                    S D M JJ SS DD MM J J S S D DM MJ JS S D M J S M M S D M J SJ DS MD J M S J D SM DJ M J S D M D M J S D M JD SM D J M S J DS MD JM SJ D M M
                                                                                                                                                                         S D M J S J S D M J S                             S D                                J   S D M     J   S D
                                                     1994
                                                    1994           1995
                                                                  1995            1996     1997
                                                                                            1997      1998
                                                                                                     1998         1999
                                                                                                                1999       2000
                                                                                                                              2000       2001
                                                                                                                                      2001         2002 2002    2003 2003     2004 2004   2005    2005 2006    2006 2007     2007 2008     200820092009       2010          2011




                                                                                                                                          CPI           CPI
                                                                                                                                                     CPIX          CPIX



 7 Data format             Rate
 8 Definition              Rise in prices of a typical basket of goods, as measured by Statistics South Africa (StatsSA). The previously targeted CPIX (metro and other urban areas) excluded interest rates on mortgage bonds. The currently targeted
                           index is the headline CPI for all urban areas.
 9 Data source             Statistics South Africa's CPI and CPIX data. Data supplied by National Treasury
10 Data Note               The quarterly data series is used for the graph to bring it up to date ( see dataset below), while the table used the annual data. Only CPI data is presented for 2009


                                                                1994                                                1995                                               1996                                                  1997                                                      1998                       1999                      2000                      2001                      2002                             2003                         2004                       2005                      2006                      2007                              2008                                   2009                      2010                     2011
                                                        M                 J          S         D         M           J          S           D            M              J                          D            M             J            S              D            M                J       S     D     M      J      S     D     M      J      S     D     M      J      S     D     M      J            S     D      M      J      S      D      M       J       S     D     M      J      S     D     M      J      S     D     M      J      S     D     M              J            S             D     M     J      S     D     M      J      S     D          M         J     S     D
                    CPI                                9.7           7.2            9.1       9.8      10.0       10.7         7.7         6.6          6.5           6.1          7.6            9.1          9.6          9.4           8.6         6.9             5.5             5.1      7.7   9.1   8.5   7.3     3.3   2.0   2.8   4.9     6.6   7.0   7.4   6.4     4.8   4.3   5.7   7.7      10.4      12.8   11.3   8.3     4.4   -0.9   -2.1   -2.0     -1.0   1.6   2.0   2.0     2.4   2.1   2.0   2.5     3.7   4.5   5.1   5.9     6.2   7.1   8.4          10.0          11.5           9.9   8.4   7.7    6.4   6.0   5.7   4.5     3.5   3.5       3.8      4.6    5.4   6.1
                    CPIX                                                                                                                                                                                                                                              6.6              7       7.2   7.4   7.3    7      6.8   6.7   7.2   7.9      8    7.8   7.6   6.5     6.1   6.2   7.4   8.7       9.9      11.1    9.5   7.5     6.1   4.2    4.5    4.6      3.9    4.4   3.4   3.7     4.6   4.1   4.2   4.2      5     5    5.2   6.4     6.5   7.9   8.7   10.97178683   13.21788689   11.60387513


                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   4.99129




DRAFT                                                                                                                                                                                                                                                                                                                                                                                          Page 8 of 83
 1   Indicator      9 Bond points spread
 2   Category         Economic governance
 3   Goal             South Africa should pay as small a premium as possible on its bonds issue
 4   Trend analysis   The margin that South Africa has to pay for debt above the international benchmark is relatively small, which reflects sound macroeconomic
                      balances and a good reputation. However rates have not returned to pre-crisis record low levels.



 5 Data
                        Table                         Bond Point Spread
                        Average                              2001        2002           2003       2004       2005       2006          2007           2008       2009           2010         2011

                        Bond Points Spread                   291          266           178        147            99         93         105           339            309        186          194


 6 Graph
                                         BOND POINTS SPREAD
                                          700

                                          600

                                          500
                          basis points




                                          400

                                          300

                                          200

                                          100

                                            0
                                                J     S    D M   J   S   D M    J   S    D M   J   S   D M    J   S    D M   J    S   D M     J   S   D M    J   S    D M   J    S     D M   J   S   D M   J   S   D
                                                    2001         2002           2003           2004           2005           2006             2007           2008           2009             2010          2011                          0


 7   Data format        Rate
 8   Definition         Measurement of risk between developed and developing economy in terms of difference paid for borrowing
 9   Data source        JP Morgan Emerging Market Bond Index, South African data via Bloomberg (JPBSGDSA index). Data supplied by National Treasury
10   Data Note          The quarterly data series is used for the graph, while the table uses annual data



                                                     2001                                              2002                                             2003                                               2004                         2005                     2006                             2007                      2008                         2009                      2010                2011
                                                    J            S         D              M            J          S          D           M              J             S           D              M         J           S    D     M     J      S    D    M       J            S         D    M    J       S     D     M     J       S     D        M     J       S     D     M     J       S     D        M      J    S     D
        Bond points
          spread                                298          285         291            273        245        282        264           209            177        177            149          147       164         159     118   104   111     93   89   76     97           103   94.3846   78   71     124   148   257   228     261   609     465    342     230   198   193   197     188   166     186    153   195   241

                                                                                                                                                                                                                                                                                                                                               308.75                       186                       193.75




DRAFT                                                                                                                                                                                                                                                         Page 9 of 83
 1   Indicator        10 Expenditure on Research and Development (R&D)
 2   Category            Future competitiveness
 3   Goal                To maintain R&D expenditure of at least 1 per cent of GDP
 4   Trend analysis      Investment in innovation has slowed down since 2006, including government’s contribution. While the growing contribution of universities to R&D is positive, the
                         decline in expenditure as a percentage of GDP is a disturbing trend.




 5 Data
                         Table                                             Expenditure on Research and Development as percentage of GDP
                         R' thousands                                              1991/92                 1993/94                1997/98                     2001/02          2003/04                     2004/05            2005/06               2006/07                  2007/08          2008/09
                         Business enterprise                                                             1,336,227             2,216,000                  4,023,576           5,591,325             6,766,361                8,243,776          9,243,165                  10,738,456 12,332,012
                         Government                                                                        810,618             1,380,000                      203,110          465,367                     515,331            844,640           1,021,355                   1,154,399      1,139,676
                         Higher education                                                                  415,648                496,000                 1,896,156           2,071,351             2,533,971                2,732,215          3,298,808                   3,621,862      4,191,366
                         Not-for-profit                                                                        31,615                11,000                    70,778          209,023                     198,268            226,514               212,538                  223,202          240,649
                         Science councils                                                                                                                 1,294,454           1,745,493             1,996,050                2,102,094          2,744,718                   2,886,094      3,137,343
                         Gross Expenditure on R&D                              2,786,087                 2,594,107             4,103,000                  7,488,074          10,082,559 12,009,981                          14,149,239 16,520,584                          18,624,013 21,041,046
                         % of GDP                                                         1.04                    0.75                     0.69                  0.76                     0.81                 0.87                  0.92                   0.95                  0.93                  0.92
                         Total researchers (headcount)                                                                                                         26,913             30,703                    37,001             39,264                     39,591              40,084             39,955
                                                           b
                         Total researchers (FTE)                                                                                                               14,182             14,129                    17,915             17,303                     18,572              19,320             19,384
                                                                                                          c
                         Total researchers per 1000 total employment (FTE)                                                                                         3.1                     1.2                   1.6                      1.5                 1.5                    1.5                  1.4




                                        Expenditure on R&D as percentage of GDP
                                                   22                                                                                                                                                                                                                                                                         0.95

                                                   20

                                                   18
                                                                                                                                                                                                                                                                                                                              0.85
                                                   16

                                                   14
                                   R'billions




                                                                                                                                                                                                                                                                                                                                      % of GDP
                                                   12
                                                                                                                                                                                                                                                                                                                              0.75
                                                   10

                                                       8

                                                       6
                                                                                                                                                                                                                                                                                                                              0.65
                                                       4

                                                       2

                                                       0                                                                                                                                                                                                                                                                      0.55
                                                               1993/94


                                                                              1994/95


                                                                                               1995/96


                                                                                                                  1996/97


                                                                                                                                1997/98


                                                                                                                                                    1998/99


                                                                                                                                                                   1999/00


                                                                                                                                                                                2000/01


                                                                                                                                                                                                 2001/02


                                                                                                                                                                                                                  2002/03


                                                                                                                                                                                                                                2003/04


                                                                                                                                                                                                                                                2004/05


                                                                                                                                                                                                                                                                 2005/06


                                                                                                                                                                                                                                                                                2006/07


                                                                                                                                                                                                                                                                                             2007/08


                                                                                                                                                                                                                                                                                                                 2008/09
                                                                         Business enterprise                                Government                           Higher education                             Not-for-profit                        Science councils                       % of GDP




 6 Definition            Amount of private and public funds spent on Research and Development
 7 Data source           National Survey of Research and Experimental Development 2006/07 HRSC; 1991-1998 FRD, commissioned by DASCT, 2001-2006 CeSTII-HSRC R&D survey
                         commissioned by Department of Science and Technology.
 8 Data Note             Expenditure on Research and Development for the government sector for the years 1993/94 and 1997/98 includes Science Councils. FTE = Full Time Equivalent.
                         This conversion is used to express the amount of time a researcher spent conducting R&D. Doctoral students are included as researchers. Total employment is
                         based on the Labour Force Surveys of Statistics South Africa and is not restricted to the formal non-agricultural sectors.




                         Table                                             Expenditure on Research and Development as percentage of GDP
                         R' thousands                                                    1991/92                1993/94                   1994/95               1995/96              1996/97                 1997/98              1998/99                  1999/00             2000/01                 2001/02             2002/03               2003/04         2004/05          2005/06          2006/07         2007/08       2008/09
                         Business enterprise                                                             1,336,227,000                                                                             2,216,000,000                                                                           4,023,576,000                              5,591,325,000         6,766,361,000    8,243,776,000    9,243,165,000 10,738,456,000 ############
                         Government                                                                       810,618,000                                                                              1,380,000,000                                                                             203,110,000                                  465,367,000        515,331,000      844,640,000     1,021,355,000   1,154,399,000 1,139,676,000
                         Higher education                                                                 415,648,000                                                                                  496,000,000                                                                         1,896,156,000                              2,071,351,000         2,533,971,000    2,732,215,000    3,298,808,000   3,621,862,000 4,191,366,000
                         Not-for-profit                                                                       31,615,000                                                                                   11,000,000                                                                          70,778,000                                 209,023,000        198,268,000      226,514,000      212,538,000     223,202,000   240,649,000
                         Science councils                                                                                                                                                                                                                                                  1,294,454,000                              1,745,493,000         1,996,050,000    2,102,094,000    2,744,718,000   2,886,094,000 3,137,343,000
                         Gross Expenditure on R&D                                   2,786,087,000        2,594,108,000                                                                             4,103,000,000                                                                           7,488,074,000                             10,082,559,000        12,009,981,000   14,149,239,000   16,520,584,000 18,624,013,000 ############
                         % of GDP                                                           1.04                    0.75                                                                                         0.69                                                                                     0.76                                      0.81             0.87             0.92             0.95           0.93           0.92
                         Total researchers (headcount)                                                                                                                                                                                                                                                  26,913                                    30,703          37,001           39,264           39,591          40,084        39,955
                                                   b
                         Total researchers (FTE)                                                                                                                                                                                                                                                        14,182                                    14,129          17,915           17,303           18,572          19,320        19,384
                                                                              c
                         Total researchers per 1000 total employment (FTE)                                                                                                                                                                                                                                 3.1                                       1.2              1.6              1.5              1.5            1.5            1.4



                         Table                                             Expenditure on Research and Development by Province
                         R' thousands                                              2001/02                 2004/05                                                                        2005/06                                         2006/07                                  2007/08                                    2008/09

                         Eastern Cape                                              247 862                       3.3%             481 978                       4.0%           672 009                        4.7%            752 303                      4.6%              826 925                   4.4%
                         Free State                                                143 659                       1.9%             723 225                       6.0%           718 909                        5.1%            944 829                      5.7%             1 098 210                  5.9%
                         Gauteng                                               4 100 072                        54.8%          6 552 884                       54.6%          7 173 590                      50.7%           8 447 470                    51.1%             9 620 752              51.7%
                         KwaZulu-Natal                                             809 405                      10.8%          1 229 398                       10.2%          1 532 158                      10.8%           1 809 013                    11.0%             2 081 166              11.2%
                         Limpopo                                                   118 748                       1.6%             151 112                       1.3%           197 055                        1.4%            240 952                      1.5%              263 784                   1.4%
                         Mpumalanga                                                145 014                       1.9%             299 680                       2.5%           340 773                        2.4%            369 535                      2.2%              452 950                   2.4%
                         Northern Cape                                                  78 566                   1.0%             100 241                       0.8%           138 427                        1.0%            402 461                      2.4%              169 937                   0.9%
                         North-West                                                321 054                       4.3%             370 300                       3.1%           323 839                        2.3%            180 923                      1.1%              453 574                   2.4%
                         Western Cape                                          1 012 805                        13.5%          2 101 162                       17.5%          3 052 482                      21.6%           3 373 098                    20.4%             3 656 717              19.6%
                         Total                                                 6 977 185                        93.2%         12 009 980                      100.0%         14 149 242                    100.0%           16 520 584                100.0%               18 624 014          100.0%




DRAFT                                                                                                                                                                                                                                                                                                                                                              Page 10 of 83
 1   Indicator      11 Information and communication technology
 2   Category          Competitiveness
 3   Goal              To improve ICT infrastructure of South Africa, particularly broadband penetration of 10% by 2014
 4   Trend analysis    Fixed telephone lines per 100 inhabitants understandably trends gradually downwards as cellular telephones become more popular, and reached over
                       a 100 cell-phones per 100 inhabitants in 2009. This represents an increase in cellphone ownership of an average annual rate of 26.7%. Computers per
                       100 inhabitants increases very slowly from 6.6 per 100 people in the year 2000 to 10.7 computers per 100 people in 2009. Internet and broadband
                       subcribers per 100 inhabitants also remains very small with only 10.7 people having access to internet in 2009 and only 3.59 people per 100
                       subscribing to broadband in the same year. The digital divide remains wide despite recent investments in broadband infrastructure by ICT companies,
                       mainly because of computer literacy by the population at large as well as the relatively high cost to communicate. Initiatives are being made to
                       address computer literacy at school level in order to address this challenge.


 5 Data                 Table                             Telephone, Cellular, Internet and Broadband subscribers
                                                                  2000         2001          2002         2003      2004       2005         2006    2007        2008        2009

                        Fixed telephone lines per 100
                        inhabitants
                                                                 11.00         10.73        10.48         10.45     10.20      10.01         9.99    9.84        9.60        9.27
                        Mobile cellular subscribers:
                        numbers and ratio per 100
                        inhabitants
                                                                 12.10         18.57        24.05         23.99     29.87      39.05        49.26   67.01       80.41      102.00
                        Computers per 100 inhabitants             6.46          6.81         7.14          7.50      7.88       8.25         8.65    9.10        9.53       10.74
                        Internet subscribers per 100
                        inhabitants                               1.63         2.09          2.19          4.48     6.71        7.54        8.95    9.14       10.00        10.71
                        Broadband subscribers internet
                        subscribers per 100 inhabitants
                        (Excludess dial-up)                       0.00         0.00          0.00          0.04     0.09        0.32        0.73    1.72        2.69         3.59



 7 Data format          Number, ration, Index
 8 Definition           Fixed telephone lines refer to telephone lines connecting a customer's equipment (e.g., telephone set, facsimile machine) to the Public Switched
                        Telephone Network (PSTN) and which have a dedicated port on a telephone exchange.
                        Mobile cellular subscribers refer to users of portable telephones subscribing to an automatic public mobile telephone service using cellular technology
                        that provides access to the PSTN
                        Internet subscribers refers to the number of dial-up, leased line and broadband Internet subscribers
                        Broadband subscribers refer to the sum of DSL, cable modem and other broadband subscribers

 9 Data source          1) E-barometer; Department of Communications
                        2) World Economic Forum (www.weforum.org) Global information technology report 2010-11




DRAFT                                                                                                                       Page 11 of 83
 1   Indicator        12 Patents
 2   Category            Future competitiveness
 3   Goal                To improve competitiveness of South African economy
 4   Trend analysis      South Africa’s contribution to patent registration is disappointing, and we have fallen behind in absolute terms and in international terms. This is symptomatic of our anaemic
                         support for innovation.

 5 Data
                         Table 1                                           South African Patent Office Statistics
                                                                   2002          2003         2004           2005      2006         2007     2008     2009       Certificates
                         New Applications                                       10 029       10 493       10 464      10 753       10 830   10 191    9 271
                         Certificates                                            5 806        6 709         5 432      6 513        7 285    7 740   10 042   12,000
                         Renewals                                               36 194       35 942       38 395      39 194       41 379   44 310   45 296
                         Patent Cooperation Treaty                                 186          179           168        124           96      126      101
                                                                                                                                                              10,000
                         Table 2                                           South African Patents granted by other patent offices
                                                                   2002          2003         2004         2005         2006        2007     2008     2009
                                                                                                                                                               8,000
                         United States of America                   114           112          100           87          109          82       91       93
                         Australia                                   52             64           59          55            34         44       31        -
                         European Patent Office                      35             35           56          55            59         58       53       49     6,000
                         China                                        8             32           21          37            28         37       38        -
                         Canada                                      11             11           18          22            21         23       34       26
                         United Kingdom                              19             16           24          15             8          7       10        9     4,000
                         New Zealand                                  8             18           12          12             4         10        6        7
                         Singapore                                   10             12            7            6           10          9        6        2
                                                                                                                                                               2,000
                         Russian Federation                           5              9            8          13             7         11       10       16
                         Mexico                                       5             10            7            7            6          9       12       16
                         Republic of Korea                            1              6            -          10            12         12       17        5
                         Japan                                        8              9            -            2            8         10       18       23              2002        2003        2004     2005          2006    2007        2008        2009
                         Total                                      276           334          312          321          306         312      326      246



 6 Graph                 Table 3                            Patents applicants by top fields of technology (1996 to 2010)
                                                            1996 to 2010                                                                                                                   Patents applicants by top fields of technology (1996 to 2010)
                         Field of Technology                      Share                                                                                                                                                        Civil engineering
                         Civil engineering                          7.35
                         Materials, metallurgy                      6.72
                                                                                                                                                                                                                               Materials, metallurgy
                         Basic materials chemistry                   6.2
                         Chemical engineering                        6.2
                         Medical technology                         5.67                                                                                                                                                       Basic materials chemistry
                         Handling                                   5.12
                         Furniture, games                           4.79                                                                                                                                                       Chemical engineering
                         Other special machines                      4.7
                         Transport                                  3.91                                                                                                                                                       Medical technology
                         Electrical machinery, apparatus,
                         energy                                    3.65                                                                                                                                                        Handling
                         Others                                   45.69



                         Table 4                            National patents grants
                                                                   1996          1997          1998         1999         2000        2001     2002     2003     2004             2005           2006            2007          2008            2009             2010
                         Resident                                   766           355           200          140          902         968      983      924      957            1,010            868             918           863             833              822
                         Rank                                        20            28            35           43           20          18       16       19       16               20             21              20            19              21               18
                         Non-Resident                             6,017         5,319         6,663        6,179        2,497       1,858    4,167    4,835      846              821            572             537           879             806            4,509
                         Rank                                         6             7             6            6           14          17       10       10       23               24             29              29            28              27               10
                         Abroad                                     332           282           307          336          283         298      291      357      298              299            292             289           335             360              400
                         Rank                                        21            24            24           23           24          24       26       28       29               28             30              29            29              29               31



 6 Data format           Numbers, Rank
 7 Definition            a Patent is a set of exclusive rights granted by a state (national government) to an inventor or their assignee for a limited
                         period of time in exchange for a public disclosure of an invention.
                         The statistics are based on data collected from IP offices from the PATSTAT database (for statistics by files of
                         technology). Data might be missing for some years and office or may be incomplete for some origins.
                         A resident filing refers to an application filed in the country by its own resident; whereas a non-resident filing refers to the
                         one filed by foreign applicant. An abroad filing refers to an application filed by thus country's resident at a foreign office.

 8 Data source           Table 1,2) Companies and Intellectual Property Registration Office (CIPRO);
                         http://www.wipo.int/ipstats/en/statistics/patents/index.html; National advisory council innovation, 2010/11; UNESCO
                         Science Report 2010
                         Table 3 and 4: WIPO statistical database

 9 Data Note             Where an office provides total filing without breaking them down inot resident and non-resident, WIPO divides the total
                         count using the historical share of the resident filing at that office




DRAFT
 1 Indicator        13 Balance of payments
 2 Category            Competitiveness
 3 Goal                To increase the ratio of exports to GDP
 4 Trend analysis      The balance of payments on our current account remains strongly negative as a result of poor export performance. The weakening trend in exports since 2008 mirrors the strengthening
                       of the real effective exchange rate of the rand.


 5 Data                Table                                    Exports, Im ports, Trade balance and balance on current account
                       % of GDP                                      1994            1995           1996         1997     1998       1999         2000        2001             2002            2003           2004       2005     2006    2007       2008             2009                                          2010
                       Exports                                         23.9           25.7           26.4        27.1      27.8       27.5         28.6        28.5              27.8           27.0           26.6       27.4     27.9    28.1       27.6             22.6                                             23.0
                       Imports                                         20.6           23.4           24.4        25.0      25.4       22.7         23.0        22.4              22.8           23.9           26.4       27.9     31.2    32.2       31.6             26.5                                             28.2
                       Trade balance                                    3.2            2.3            2.0          2.0      2.4        4.8          5.6            6.1            5.0            3.1           -0.3       -0.5     -3.3    -4.1       -3.9             -3.9                                             -5.2
                       Balance on
                       current
                       account                                          0.0           -1.7           -1.2         -1.5     -1.8       -0.5         -0.1            0.3            0.8           -1.0           -3.0       -3.5     -5.3    -7.0       -7.2             -4.0                                             -2.8


 6 Graph
                                                        BALANCE OF PAYMENTS

                                                                                                                                                                                                                                                                       3.0
                                                        42.5
                                                                                                                                                                                                                                                                       1.5




                                                                                                                                                                                                                                                                              balance on current account % of GDP
                         imports and exports % of GDP




                                                        37.0                                                                                                                                                                                                           0.0

                                                                                                                                                                                                                                                                       -1.5
                                                        31.5
                                                                                                                                                                                                                                                                       -3.0

                                                        26.0                                                                                                                                                                                                           -4.5

                                                                                                                                                                                                                                                                       -6.0
                                                        20.5                                                                                                                                                                                                                                                        `
                                                                                                                                                                                                                                                                       -7.5

                                                        15.0                                                                                                                                                                                                           -9.0
                                                               M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J S D M J
                                                                1994          1995           1996       1997       1998    1999     2000        2001        2002          2003          2004           2005       2006     2007    2008   2009      2010       2011


                                                                                                    Exports as % of GDP           Imports as % of GDP                    Balance on current account to GDP Ratio



 7 Data format         Percentage of GDP
 8 Definition          Trade balance: Merchandise exports plus Net gold exports minus Merchandise imports (fob)
                       Balance on current account: Trade balance + net income payments + net service payments + current transfers.
                       Exports: The quantity or value of all that is exported from a country
                       Imports: The quantity or value of all that is imported into a country
 9 Data source         South African Reserve Bank (SARB) Quarterly Bulletins. Data supplied by National Treasury
10 Data note           The quarterly data is used for the graph to bring it up to date, while the table uses the annual data up to December of each year




                                                                                        1994                                            1995                                                      1996                                       1997                                                                                  1998                          1999                          2000                          2001                          2002                                   2003                           2004                            2005                              2006                              2007                              2008                              2009                             2010                   2011
                                                                         M               J             S            D        M           J              S           D              M               J             S          D        M        J            S             D                                                M       J          S     D      M       J        S     D      M       J        S     D      M       J        S     D      M       J        S          D          M       J        S     D      M        J        S      D       M       J        S       D       M        J        S       D       M        J        S       D       M        J        S       D       M        J        S       D       M       J        S       D       M        J     S    D
                       Balance on
                       current
                       account to
                       GDP Ratio                                       1.2            0.0           -0.8         -0.2     -1.5       -3.4         -0.8        -0.9             -1.3            -2.0           -0.2       -1.2     -1.7    -1.3       -1.2             -1.7                                          -0.5       -1.0       -2.7   -2.8    1.3   -1.0     -0.8   -1.5   -0.1   -0.1       -1    0.7    0.8    0.6     -0.8    0.6    1.1    0.3      0.7        1.1         0.2   -2.7     -0.2   -1.2   -1.6    -3.4      -3.2   -3.8    -3.5   -2.7      -3.6      -4    -5.5    -4.6      -4.1      -7      -6    -6.2      -8.4    -7.2    -7.7    -7.1      -7.8    -6.0    -5.9    -3.1      -3.5    -3.6    -4.0    -2.6     -3.3    -1.5    -2.6    -2.9   -3.8
                       Exports as
                       % of GDP                                     25.5             21.8           23.0        25.2      26.4      22.8         26.9         26.4             25.6            25.1           28.2       26.6     25.4    25.9      28.4              28.5                                          28.7       27.8       27.7   27.0   28.8   25.8     27.6   27.8   29.2   27.9     27.7   29.5   29.0   29.9     27.4   27.7   27.7   28.2     26.9       28.3        26.9   26.7     27.6   26.8   25.5   26.3      26.6    27.8   26.6    27.9     27.9    27.1    26.2    27.6      28.2    29.4    28.3    27.9      27.4    28.9    26.1    28.3      28.6    27.4    22.6    22.0      22.5    23.4    22.1    22.9     23.4    23.5    22.5    23.2
                       Imports as
                       % of GDP                                     20.0             19.5           21.3        21.7      23.1      22.9         23.7         23.8             23.9            24.3           25.3       24.0     24.0    24.2      25.8              26.0                                          25.2       25.2       25.7   25.4   22.8   22.6     22.5   23.0   23.5   22.6     22.8   23.2   22.7   23.0     21.9   22.2   22.7   22.8     22.6       23.1        22.8   23.5     24.3   25.0   25.0   26.6      26.6    27.5   27.1    27.7     28.4    28.1    29.2    30.9      30.6    33.9    32.7    32.5      32.1    31.5    31.8    32.0      32.1    30.4    28.4    25.5      25.4    26.8    26.9    27.8     29.3    28.8    28.7    29.4
                       Trade
                       balance to
                       GDP ratio                                    5.46             2.26           1.72        3.42      3.31     -0.08         3.26         2.63             1.66            0.80           2.93       2.60     1.34    1.75      2.60              2.45                                          3.46       2.60       2.01   1.52   5.93   3.23     5.11   4.77   5.72   5.38     4.96   6.34   6.30   6.96     5.50   5.49   5.00   5.34     4.34       5.17        4.02   3.21     3.23   1.79   0.42   -0.31     -0.02   0.34   -0.53   0.18     -0.48   -1.04   -3.03   -3.32     -2.43   -4.50   -4.41   -4.65     -4.70   -2.58   -5.70   -3.62     -3.47   -2.94   -5.80   -3.54     -2.90   -3.37   -4.84   -4.94    -5.90   -5.36   -6.21   -6.20




DRAFT                                                                                                                                                                                                                                                                                                                                                                                                                                                                    Page 13 of 83
 1 Indicator        14 South Africa's Competitiveness Outlook
 2 Category            Competitiveness
 3 Goal                To promote international competitiveness of South Africa's economy
 4 Trend analysis      By both measures, the competitiveness of the South African economy shows a declining trend. The labour market contributes the weakest competiveness indicators for South
                       Africa, including the poor quality of primary education and the relatively low number skilled workers and graduates from tertiary institutions



 5 Data                Table 1                        Global Competitiveness - WEF
                                                          2005-2006        2006-2007    2007-2008    2008-2009          2009-2010              2010-2011         2011-2012
                       Malaysia                                      26           19           21            21                   24                      26            21
                       Chile                                         27           27           26            28                   30                      30            31
                       Estonia                                       25           26           27            32                   35                      33            33
                       Lithuania                                     40           39           38            44                   53                      47            44
                       Slovakia                                      37           37           41            46                   47                      60            69
                       South Africa                                  45           36           44            45                   45                      54            50
                       Latvia                                        36           44           45            54                   68                      70            64
                       Hungary                                       41           38           47            62                   58                      52            48
                       Poland                                        48           45           51            53                   46                      39            41
                       Mexico                                        58           52           52            60                   60                      66            58
                       Mauritius                                     55           55           60            57                   57                      55            54
                       Brazil                                        66           66           72            64                   56                      58            53
                       Romania                                       68           73           74            68                   64                      67            77
                       Botswana                                      81           57           76            56                   66                      76            80
                       No. of Countries                             117          125          131           134                  133                 139               139


                       Table 2                        Global Competitiveness - IMD
                                                                   2005         2006         2007           2008                 2009               2010              2011
                       Overall rankings
                       Malaysia                                  no data          22           23            19                   18                      10            16
                       Chile                                     no data          23           26            26                   25                      28            25
                       Estonia                                   no data          19           22            23                   35                      34            33
                       Lithuania                                 no data      no data          31            36                   31                      43            45
                       Slovakia                                  no data          33           34            30                   33                      49            48
                       South Africa                                  37           38           50            53                   48                      44            52
                       Hungary                                       31           35           35            38                   45                      42            47
                       Poland                                        48           50           52            44                   44                      32            34
                       Mexico                                        47           45           47            50                   46                      47            38
                       Brazil                                    no data          44           49            43                   40                      38            44
                       Ranking by category : South Africa only
                       Economic performance                          37           40           54            55                   56                      56            54
                       Government efficiency                         29           25           35            28                   26                      21            32
                       Business efficiency                           35           32           32            38                   30                      31            40
                       Infrastructure                                49           52           55            55                   54                      51            56
                       No. of Countries                              50           52           55            55                   57                      58            59


 6 Graph
                                        SA Global competitiveness - WEF                                          SA Global competitiveness -IMD
                          60                                                                    55

                          55
                                                                                                50
                          50
                                                                                                45
                          45
                                                                                                40
                          40

                          35                                                                    35

                          30                                                                    30
                                                                                                     2005


                                                                                                                 2006


                                                                                                                          2007


                                                                                                                                        2008


                                                                                                                                                   2009


                                                                                                                                                               2010


                                                                                                                                                                       2011




 7 Data format         Normalised data of the selected economic group - Upper Middle Income Economies
 8 Definition          In its Global Competitiveness Index, The World Economic Forum (WEF) defines competitiveness as the set of institutions, policies, and factors that determine the level of
                       productivity of a country. Data format is based on Normalised data of the selected economic group - Upper Middle Income Economies. The World Competitiveness Yearbook
                       (WCY) ranks and analyses the ability of nations to create and maintain an environment in which enterprises can compete.

 9 Data source         The Global Competitiveness Reports 2006-2011 - World Economic Forum (WEF), International Institute for Management Development (IMD) (www.imd.ch); Productivity
                       Institute South Africa
   Data note           It shoule be noted, however that the methodologies employed by these glocal indices do have limitations, partucularly in their use of limited samples of large business leaders
                       and their combination of opinion-based data where hard numbers could arguably provide better measurements.




DRAFT                                                                                                                                                                         Page 14 of 83
 1   Indicator        15 Knowledge Based Economy Index
 2   Category            Competitiveness                                                                                                  Table
 3   Goal                Transforming South Africa from a resource-based economy to become a knowledge-based
 4   Trend analysis      South Africa’s performance as a knowledge based economy deteriorated sharply in 2009,
                         partly due to the relatively high cost of broadband, and partially due to the poor relative
                         quality of our education system.




 5 Data                  Table          Knowledge-based Economy Index
                                                1995        2007          2008          2009
                         Estonia                  29          25            21            21
                         Hungary                  31          28            28            27
                         Lithuania                44          31            30            31
                         Latvia                   43          33            32            32
                         Poland                   37          35            36            37
                         Slovakia                 34          36            37            36
                         Chile                    36          39            40            42
                         Malaysia                 48           40           48            48
                         Romania                  57          48            43            47
                         South Africa             49          50            55            65
                         Mexico                   55          59            59            67
                         Brazil                   64          54            54            54
                         Mauritius                62          64            64            64
                         Botswana                 78          84            85            95



 6 Data format           Normalised data of the selected economic group - Upper Middle Income Economies
 7 Data note             Countries are ranked in order from “best” to “worst” using their actual scores on each
                         variable. Then, their scores are normalized on a scale of 0 to 10 against all countries in the
                         comparison group. 10 is the top score for the top performers and 0 the worst for the
                         laggards.
                         The Knowledge Economy Index (KEI) takes into account whether the environment is
                         conducive for knowledge to be used effectively for economic development. It is an
                         aggregate index that represents the overall level of development of a country or region
                         towards the Knowledge Economy. The KEI is calculated based on the average of the
                         normalized performance scores of a country or region on all 4 pillars related to the
                         knowledge economy - economic incentive and institutional regime, education and human
                         resources, the innovation system and ICT

 8 Data source           2009 KAM Report (www.worldbank.org/kam)




DRAFT                                                                                                                     Page 15 of 83
 1   Indicator        16 Black and Female Managers
 2   Category            Empowerment
 3   Goal                To broadly reflect the demographic make-up of the country in the management of companies and organisations
 4   Trend analysis      The proportion of black managers, at 24% has not improved since the last measurement of all companies when the proportion was 24.2%.




 5 Data
                         Table       Top and Senior managers who are black
                                             2000          2001          2002          2003          2004      2005       2006             2007            2008           2009           2010           2011
                         Black Top
                         managers           12.7%      25.1%         18.4%         23.8%        21.1%         27.2%      22.2%         28.8%            24.2%            32.2%          24.0%          24.7%
                         Black
                         Senior
                         Managers           18.5%      19.1%         22.2%         27.3%        25.7%         27.5%      26.9%         32.4%            32.5%            35.5%          34.0%          34.4%


                         Table       Percentage of top and senior managers who are female
                                             2000          2001          2002          2003          2004      2005       2006             2007            2008           2009           2010           2011
                         Top
                         Managers           12.4%      11.9%         13.8%         14.1%        15.1%         16.5%      21.6%         17.8%            17.8%            18.0%          5.1%           6.4%
                         Senior
                         Managers           21.0%      17.7%         21.6%         22.3%        23.7%         23.6%      27.4%         24.9%            27.8%            26.7%          8.5%           10.9%


 6 Graph                  40.0%
                          35.0%
                          30.0%
                          25.0%
                          20.0%
                          15.0%
                          10.0%
                          5.0%
                          0.0%
                                     2000           2001          2002          2003          2004          2005       2006        2007             2008          2009           2010           2011

                                                            Female Top Managers          Female Senior Managers       Black Top managers          Black Senior Managers


 7 Data format           Percentage
 8 Definition            Black managers include Africans, Coloureds and Indians
10 Data source           Department of Labour, 11th CEE Annual Report 2010-2011, Page 24

 9 Data note             For odd years (2001, 2003, 2005, 2007, 2009 and 2011) data is based on large companies only
                         For even years (2002, 2004, 2006, 2008, 2010) data is based on all companies (large and small)
                         Employers with 150 or more employees ( large employers) are required to submit reports on an annual basis and employers with less than
                         150 employees ( small employers) are expected to submit reports every two years to the Department of Labour
                         Data does not include male and female foreign nationals

                                             2000          2001          2002          2003          2004      2005       2006             2007            2008           2009           2010           2011
                         Black Top
                         managers           12.7%      25.1%         18.4%         23.8%        21.1%         27.2%      22.2%         28.8%            24.2%            32.2%          24.0%          24.7%
                         Black
                         Senior
                         Managers           18.5%      19.1%         22.2%         27.3%        25.7%         27.5%      26.9%         32.4%            32.5%            35.5%          34.0%          34.4%


                         Table       Percentage of top and senior managers who are female
                                             2000          2001          2002          2003          2004      2005       2006             2007            2008           2009           2010           2011
                         Female
                         Top
                         Managers           12.4%      11.9%         13.8%         14.1%        15.1%         16.5%      21.6%         17.8%            17.8%            18.0%          5.1%           6.4%
                         Female
                         Senior
                         Managers           21.0%      17.7%         21.6%         22.3%        23.7%         23.6%      27.4%         24.9%            27.8%            26.7%          8.5%           10.9%




DRAFT                                                                                                                                               Page 16 of 83
 1   Indicator        17 Employment
 2   Category            Employment
 3   Goal                To increase employment by 2014. Numerical target is approximately 16 million employed
 4   Trend analysis      The level of employment remains virtually static at a little over 13 million people, due to poor international and domestic economic conditions. It has not yet recovered to the employment level of nearly 14 million achieved in 2008.

 5 Data                  Table                                                      Employment
                                                                                       2001              2002                      2003                      2004                      2005                        2006                        2007                                 2008                                       2009                                        2010                                         2011
                         Thousands ('000)                                                 Sep          Mar          Sep          Mar          Sep          Mar          Sep          Mar           Sep           Mar           Sep           Mar           Sep          Mar       Jun       Sep       Dec          Mar       Jun       Sep       Dec          Mar        Jun        Sep        Dec          Mar       Jun       Sep      Dec
                         Informal sector employment (excl agric)                      1,967        1,824        1,780        1,830        1,903        1,766        1,946         2,071           2,462         2,190         2,379         2,131         2,122        2,319     2,340     2,205     2,246        2,029     2,109     1,993     2,109        2,054      2,186      2,172      2,225        2,179     2,213     2,160    2,134
                         Formal sector employement (excl agric)
                                                                                      7,027        7,097        7,181        7,228        7,373        7,483        7,692         7,750           7,987         8,059         8,384         8,423         8,785        9,342     9,415     9,575     9,537        9,291     9,356     9,073     9,114        9,197      9,088      9,043      9,163        9,219     9,198     9,436    9,616
                         Agriculture                                                  1,178        1,739        1,420        1,288        1,212        1,258        1,063         1,170            925          1,318         1,088         1,075         1,164         799       790       776       764          660       710       653        615         658        630        640        627          603       598       624      630
                         Private households                                               881          877          844          884          895           847         881           850          859           850           886           936          1,057        1,163     1,185     1,255     1,298        1,154     1,194     1,166     1,135        1,167      1,157      1,119      1,117        1,118     1,117     1,098    1,118
                         Total Employment                                            11,181       11,617       11,296       11,304       11,424       11,392       11,643        11,907       12,301        12,451        12,800        12,648        13,234       13,623      13,729    13,811    13,844     13,133      13,369    12,885    12,974     13,076        13,061     12,975     13,132       13,118    13,125   13,318    13,497
                         Population 15-64
                         Labour absorption rate                                           42.4         43.1         42.5         41.2         41.8         41.0         42.2         42.6          44.1          44.4          45.3          44.1          44.7         44.5      44.7      44.5      44.8         41.6      43.0      41.3      41.5         41.1       40.9       40.5       40.8         40.6      40.5      40.9     41.3
                         Labour force participation rate                                  57.4         59.7         57.9         58.3         55.6         55.7         54.8         56.3          57.6          57.8          58.2          57.7          56.7         58.2      58.1      57.9      57.3         55.0      56.3      54.8      54.8         54.9       54.7       54.2       53.6         54.1      54.5      54.6     54.3


                         Table                                                      Labour absorption rate by province
                                                                                       2001              2002                      2003                      2004                      2005                        2006                        2007                                 2008                                       2009                                        2010                                         2011
                                                                                          Sep          Mar          Sep          Mar          Sep          Mar          Sep          Mar           Sep           Mar           Sep           Mar           Sep          Mar       Jun       Sep       Dec          Mar       Jun       Sep       Dec          Mar        Jun        Sep        Dec          Mar       Jun       Sep      Dec


                         Eastern Cape                                                     31.8         40.0         30.9         31.2         29.0         26.2         31.3         34.6          33.4          39.4          34.6          32.2          34.0         33.4      34.5      33.2      34.2         32.9      33.8      31.4      31.4         30.8       30.9       31.6       32.1         31.9      31.4      31.1     31.6
                         Free State                                                       48.1         47.4         46.5         46.6         47.1         47.1         44.1         43.5          45.5          43.3          44.6          44.5          45.9         45.3      44.8      45.3      44.6         43.6      41.5      40.6      42.3         41.0       41.9       41.3       42.1         41.8      41.3      44.1     40.1
                         Gauteng                                                          52.1         50.4         52.3         49.0         52.4         51.0         52.9         54.3          57.0          55.2          58.1          55.7          57.8         56.9      57.4      57.3      57.4         56.5      55.3      51.9      52.2         51.4       51.5       51.4       51.1         51.5      50.9      50.9     52.4
                         KwaZulu-Natal                                                    37.8         38.5         40.8         38.6         38.5         37.8         38.1         38.9          39.4          40.8          43.0          41.5          39.8         41.0      41.7      41.0      41.6         39.7      38.6      38.5      37.6         37.6       36.7       36.0       36.4         36.1      37.0      37.0     37.7
                         Limpopo                                                          29.7         29.6         28.4         26.8         27.9         27.9         30.6         27.8          29.3          27.2          28.9          29.0          30.8         29.1      28.6      28.9      28.2         29.2      29.1      28.8      29.0         27.2       28.9       27.5       29.0         28.2      28.0      30.5     29.2
                         Mpumalanga                                                       40.9         42.1         40.6         40.6         41.5         41.4         40.6         40.4          41.8          42.8          42.3          42.2          43.7         41.1      41.3      42.2      42.6         42.5      40.6      39.7      39.6         38.2       39.3       38.7       38.0         37.9      38.0      39.0     39.3
                         North West                                                       36.6         38.0         37.4         36.5         35.3         36.5         37.8         39.5          40.7          40.2          38.6          40.1          39.8         41.6      41.5      40.0      41.1         40.6      38.9      36.1      35.9         35.4       35.9       35.4       36.5         35.5      33.9      33.3     34.2
                         Northern Cape                                                    46.4         48.2         48.1         47.8         45.3         48.7         41.2         41.3          41.8          45.6          44.4          45.6          43.0         43.6      42.2      43.8      44.8         39.4      40.1      36.1      41.0         37.7       36.6       38.7       38.9         36.4      36.7      38.6     40.2
                         Western Cape                                                     54.6         52.9         52.6         52.9         54.2         52.6         53.2         51.1          54.7          54.0          56.9          55.1          55.1         55.3      54.8      53.9      55.6         56.4      54.3      53.3      53.9         54.3       53.1       51.7       52.1         52.2      52.6      52.4     53.3
                         South Africa                                                     42.4         43.1         42.5         41.2         41.8         41.0         42.2         42.6          44.1          44.4          45.3          44.1          44.7         44.5      44.7      44.3      44.8         44.0      43.0      41.3      41.5         40.8       40.9       40.5       40.8         40.6      40.5      40.6     40.5


                                                      TOTAL EMPLOYMENT
 6 Graph

                                                       14 000


                                                       13 500
                                 number (thousands)




                                                       13 000


                                                       12 500


                                                       12 000


                                                       11 500


                                                       11 000
                                                                Sep    Mar          Sep          Mar          Sep          Mar          Sep          Mar          Sep          Mar          Sep           Mar           Sep           Mar           Jun          Sep       Dec       Mar       Jun          Sep       Dec       Mar       Jun          Sep       Dec        Mar        Jun          Sep       Dec
                                                                2001         2002                      2003                      2004                      2005                      2006                       2007                                      2008                                       2009                                       2010                                         2011



 7 Data format           Numbers
 8 Definition            Persons aged 15-64 who did any work or who did not work but had a job or business in the seven days prior to the survey interview
                         Labour force participation rate is the proportion of the working-age population that is either employed or unemployed
                         (labour absorption rate) is the proportion of the working-age population that is employed

 9 Data source           Statistics South Africa, Labour Force Surveys




DRAFT                                                                                                                                                                                                            Page 17 of 83
 1   Indicator        18 Unemployment (broad and narrow)
 2   Category            Employment
 3   Goal                The goal is to cut unemployment by at least to a maximum of 14 per cent in 2014
 4   Trend analysis      The level of unemployment remains high at 25.7 percent in narrow terms, considerably worse than the 21 percent achieved in 2007, before the economic shock of 2008-2009. Poor economic conditions have limited the capacity of the
                         economy to create jobs, and the economically active population, seeking jobs, is growing




 5 Data
                         Table                  Unemployment (broad and narrow)
                                                    2001           2002                  2003                     2004                       2005                   2006                   2007                                   2008                                       2009                                2010                                     2011
                                                    Sep       Mar         Sep       Mar           Sep           Mar       Sep          Mar          Sep        Mar         Sep          Mar       Sep             Mar          Jun          Sep      Dec       Mar         Jun      Sep    Dec       Mar       Jun      Sep    Dec           Mar     Jun         Sep    Dec
                         narrow (official)          26.2      27.7        26.6      29.3          24.8      26.4            23         24.2         23.5       23.1        22.1         23.6      21.0            23.5         23.1         23.2     21.9      23.5        23.6     24.5   24.3      25.2      25.2     25.3   24.0          25.0    25.7        25.0   23.9
                         broad (unofficial)         37.7      38.4        38.3      40.6          39.1      40.0          38.1         38.0         35.8       36.1        34.0         36.0      34.6            31.5         30.2         30.2     29.3      31.2        32.5     34.4   34.2      35.4      35.8     36.4   35.8          36.5    36.9        36.0   35.4


                         Table                  Unemployment rate by province (Official)
                                                    2001           2002                  2003                     2004                       2005                   2006                   2007                                   2008                                       2009                                2010                                     2011
                                                    Sep       Mar         Sep       Mar           Sep           Mar       Sep          Mar          Sep        Mar         Sep          Mar       Sep             Mar          Jun          Sep      Dec       Mar         Jun      Sep    Dec       Mar       Jun      Sep    Dec           Mar     Jun         Sep    Dec
                         Province
                         Eastern Cape               29.4      28.1        30.7      33.3          30.4      35.8          28.2         28.0         28.6       23.9        29.3         28.9      24.6            28.1         24.8         27.4     25.2      28.4        27.9     29.9   27.0      29.8      27.9     27.2   24.7          26.9    28.9        27.1   27.1
                         Free State                 23.8      27.7        24.6      27.5          23.5      22.6          25.2         28.3         26.1       25.4        21.9         23.6      21.4            25.0         25.9         22.9     22.6      25.4        26.5     25.8   25.3      27.2      27.8     29.5   27.1          27.9    28.2        25.5   29.4
                         Gauteng                    27.3      29.8        26.8      31.2          25.0      28.3          22.7         22.5         20.5       22.9        19.9         22.4      17.9            22.7         21.8         21.8     20.7      21.7        20.5     22.5   25.7      27.1      26.9     26.7   26.7          26.9    28.2        27.8   25.1
                         KwaZulu-Natal              25.8      28.1        26.3      28.2          23.5      25.9          20.6         24.0         24.7       22.0        19.1         22.6      22.3            22.7         22.2         22.0     20.8      22.6        23.1     24.5   19.2      19.3      20.9     19.7   19.8          20.3    20.3        19.1   19.3
                         Limpopo                    33.1      38.2        32.6      42.3          28.8      33.3          24.5         32.8         27.8       33.0        26.2         34.0      24.7            31.7         30.6         29.5     28.9      28.1        27.7     28.6   26.9      26.8      22.4     25.1   16.9          19.3    21.1        19.3   20.2
                         Mpumalanga                 21.2      22.2        21.9      23.3          17.9      19.1          19.4         21.6         20.5       23.9        23.1         20.6      18.6            23.7         24.8         23.2     23.1      24.7        24.9     25.7   26.6      29.3      27.7     28.4   28.7          30.8    30.4        29.1   27.7
                         North West                 30.8      24.3        32.0      26.8          31.3      24.9          27.2         22.5         27.0       23.7        32.1         25.6      26.6            22.3         22.9         26.8     25.7      26.9        26.5     26.8   27.0      26.3      27.9     28.0   24.2          25.0    27.3        28.6   24.6
                         Northern Cape              20.9      24.3        19.8      25.0          21.2      19.7          19.7         26.3         20.0       22.0        22.3         24.2      21.2            24.8         24.6         22.6     21.6      27.4        26.9     27.9   24.9      27.8      29.9     25.8   24.3          31.3    28.8        28.2   26.7
                         Western Cape               19.9      20.9        22.0      22.0          21.7      19.2          21.0         19.8         21.0       17.6        17.6         18.1      19.4            18.1         19.1         19.7     16.9      18.4        19.3     18.7   21.5      20.3      21.8     23.1   21.9          22.2    21.8        23.3   21.6
                         South Africa               26.2      27.7        26.6      29.3          24.8      26.4          23.0         24.2         23.5       23.1        22.1         23.6      21.0            23.5         23.1         23.2     21.9      23.5        23.6     24.5   24.3      25.2      25.2     25.3   24.0          25.0    25.7        25.0   23.9


 6 Graph
                                                           Unemployment rate by age group and gender

                                    70


                                    60


                                    50
                           %




                                    40


                                    30


                                    20


                                    10


                                      0
                                              Sep     Mar          Sep     Mar          Sep       Mar           Sep      Mar           Sep      Mar           Sep      Mar          Sep         Mar         Jun          Sep          Dec      Mar      Jun          Sep     Dec     Mar    Jun          Sep   Dec      Mar    Jun          Sep     Dec
                                             2001           2002                 2003                    2004                   2005                   2006                  2007                                 2008                                        2009                                2010                               2011


                                                             15 - 24                    25 - 34                       35 - 44                       45 - 54                   55 - 64                       Male                        Female




 7 Data format            Percentage
 8 Definition             Narrow (official)- Number of people who were without work in the reference week, have taken steps to look for work or start a business and were available to work.
                          Broad(unofficial) - Number of people who were without work in the reference week and were available to work.

 9 Data source            Statistics South Africa's Labour Force Surveys and Quaterly Labour Force Surveys.



                         Table                  Unemployment rate by age group (2001 - 2010) - narrow only
                                                    2001           2002                  2003                     2004                       2005                   2006                   2007                                   2008                                       2009                                2010                                     2011
                                                    Sep       Mar         Sep       Mar           Sep           Mar       Sep          Mar          Sep        Mar         Sep          Mar       Sep             Mar          Jun          Sep      Dec       Mar         Jun      Sep    Dec       Mar       Jun      Sep    Dec           Mar     Jun         Sep    Dec
                         %
                         15 - 24                    50.5      53.0        51.7      57.9          51.5      53.8          48.2         50.0         46.7       47.4        45.9         48.5      44.4            46.1         44.5         46.6     44.9      47.8        48.1     48.4   48.3      50.0      51.3     51.3   49.4          49.7    49.8        50.4   49.2
                         25 - 34                    31.1      32.1        30.5      33.6          28.4      30.5          26.7         28.7         27.5       27.1        24.9         27.5      24.4            26.5         26.6         26.2     25.0      27.6        27.2     28.7   28.5      29.2      28.9     29.1   28.4          30.1    30.9        29.5   27.8
                         35 - 44                    15.8      17.1        16.4      17.6          15.2      16.0          14.6         14.6         14.8       14.4        15.0         14.5      12.5            16.3         15.9         16.6     14.6      15.3        15.7     17.3   17.1      17.9      17.3     17.8   16.6          16.9    18.5        18.2   17.2
                         45 - 54                    11.7      13.2        13.3      14.2          10.9      11.9           9.4         10.3         10.8       10.1         9.9         10.8      10.0            10.6         10.0          9.3      9.6       9.7        10.9     11.8   10.8      11.7      12.1     12.4   11.3          12.4    12.6        11.6   12.0
                         55 - 64                     9.6       9.5         9.0          9.3        7.4          6.9        6.0          7.4          6.5        5.1         5.3           5.6         5.6          7.8          7.6          6.5      5.2       6.0         5.3      6.8    6.7          7.4    8.2      7.3    6.3           6.0     5.8         6.1    6.2


                         Table                  Unemployment rate by gender
                                                    2001           2002                  2003                     2004                       2005                   2006                   2007                                   2008                                       2009                                2010                                     2011
                                                    Sep       Mar         Sep       Mar           Sep           Mar       Sep          Mar          Sep        Mar         Sep          Mar       Sep             Mar          Jun          Sep      Dec       Mar         Jun      Sep    Dec       Mar       Jun      Sep    Dec           Mar     Jun         Sep    Dec

                         Male                       23.3      24.4        22.6      25.5          21.7      22.6          19.9         20.4         19.7       19.4        17.8         19.3      18.2        20.5             19.7         20.4     18.8      21.0        21.6     22.7   22.6      23.2      23.1     23.1   21.8         22.2     23.2        22.5   21.8
                         Female                     29.4      31.5        31.1      33.6          28.4      30.7          26.6         28.6         27.8       27.3        27.0         28.4      24.3        27.1             26.8         26.4     25.4      26.2        25.8     26.5   26.1      27.5      27.7     28.0   26.6         28.2     28.7        28.0   26.5
                         Total                      26.2      27.7        26.6      29.3          24.8      26.4          23.0         24.2         23.5       23.1        22.1         23.6      21.0        23.5             23.0         23.1     21.8      23.4        23.5     24.4   24.2      25.2      25.2     25.3   24.0         25.0     25.7        25.0   23.9




                                                 0.129
                                                32193




DRAFT                                                                                                                                                                                                                                                                                                                                                                     Page 18 of 83
 1 Indicator        19 Net Work Opportunities created by the Expanded Public Works Programme (EPWP)
 2 Category            EPWP
 3 Goal                To create 4.5 million work opportunities by 2014
 4 Trend analysis      The relatively strong performance of the EPWP helps to mitigate the effects of poverty and low employment levels, but many of the unemployed cannot
                       be reached by a programme even of this scale.

 5 Table                                         Overall GROSS Work opportunities per sector per year (1 Apr 2004 - 31 March 2009) Phase 1
                                                                                                                                                       Total (Year 1 - 5)
                       Sector                       Year 1 (04-05)    Year 2* (05-06)    Year 3* (06-07)   Year 4* (07-08)   Year 5* (08-09)
                                                                                                                                                         (04/05 - 08/09)*
                       Infrastructure                     158,277           103,343             136,035          236,951           377,356                      1,011,962
                       Environment & Culture                58,796            78,855            117,503          115,686             96,882                      467,720
                       Social                                1,650            17,858             34,332            61,018            59,508                      174,366
                       Economic                              4,687             1,833              3,231             3,697             6,930                       20,377
                       Non-State Sector
                       Total                              223,410           201,889             291,100          417,351           540,675                      1,674,426


                       Table                                               Phase 2 (Gross = NET)
                                                       Year 1: (09-
                       Sector                                         Year 2: (10-11) Year 3: (11-12) Q3          TOTAL                        Sector                       TOTAL: Phase 1+ Phase 2
                                                                11)
                       Infrastructure                     263,457           277,100             302,679          843,236                       Infrastructure                      1,855,198
                       Environment & Culture                95,942          107,189             117,679          320,810                       Environment & Culture                788,530
                       Social                             206,421           131,979             139,584          452,824                       Social                               627,190
                       Economic                                                                                                                Economic                              20,377
                       Non-State Sector                     60,039          126,848             126,991          313,878                       Non-State Sector                     313,878
                       Total                              625,859           643,116             549,982         1,818,957                      Total                               3,605,174



                       Table                        Work Opprortunities per province
                       Province                           2009/10           2010/11          2011/12 Q3
                       Eastern Cape                        99,933           118,181             134,159
                       Free State                           38,467            41,804             40,246
                       Gauteng                            108,401            113,845            105,189
                       Kwazulu-Natal                      172,280            120,900            108,419
                       Limpopo                              53,581            79,001            110,582
                       Mpumalanga                           43,549            44,450             45,387
                       Northern Cape                        22,667            23,287             27,962
                       North West                           37,611            43,864             47,729
                       Western Cape                         49,370            57,784             67,260
                       Total                              625,859           643,116             686,933


                       Table 2                      Work Opportunities per sector per year
                       Sector                             2009/10           2010/11          2011/12 Q3
                       Environmental & Culture             95,942           107,189             117,679
                       Infrastructure                     263,457            277,100            302,679
                       Non-State                            60,039           126,848            126,991
                       Social                             206,421            131,979            139,584
                       Total                              625,859           643,116             686,933



 7 Data format         Number of net work opportunities created
 8 Definition          A work opportunity is paid work created for an individual for any period of time. The same individual can be employed on different projects and each
                       period of employment will be counted as a work opportunity
                       A work opportunity in the Infrastructure sector has a average duration of four (4) months and in the Environmental and Culture sector an average of
                       duration of six (6) months
                       One Person-Year of work is equal to 230 paid working days including paid training days.
                       Non State Sector includes Community works (DCoG) and Non profit organisation (NPO's)

10 Data source         Department of Public Works; Expanded Public Works Programme five year report 2004/05-2008/09; Expanded Public Works Programme (EPWP) 3rd
                       Quarter 2010/11
 9 Data Note           * Work opportunities created with adjustments to account for multi-year projects




DRAFT                                                                                                                                 Page 19 of 83
 1   Indicator        20 Community Work Programme
 2   Category            Employment
 3   Goal                237 000 Work opportunities created through CWP by 2014
 4   Trend analysis      The Community Work Programme has demonstrated its capacity to be scaled up rapidly as an effective poverty relief
                         measure. It provides up to 100 days employment per year, R60 per day, two days a week, to unemployed people in poor
                         communities selected for the programme.


 5 Data                  Table 1

                                                        2009/10          2010/11
                                                     Number of       Number of
                                                           work            work
                                                    opportunities   opportunities
                         Total Number of
                         Participants                     55,582          89,689
                         Disabled Participants                               847
                         Women                            39,546          62,343
                         Youth ( Under 35)                28,093          50,734



                         Table 2                 Work opportunities per province
                         Eastern Cape                    14,637           21,858
                         Free State                        6,141          10,039
                         Gauteng                         14,637           20,942
                         KwaZulu-Natal                     5,701          10,509
                         Limpopo                           3,379           4,475
                         Mpumalanga                        5,131           6,010
                         North West                        3,974           8,403
                         Northern Cape                       501           3,193
                         Western Cape                      1,381           4,260



 7 Data format           Number
 8 Data source           Department of Cooperative Governance (DCoG)
 9 Data note             Total number of participants includes all participants that worked in the programme regardless of the number of days they
                         participated due to attrition, absenteeism and drop-outs. Figures do not add up due to double counting, for instance a
                         participant could be a woman with special needs (disabilities).



DRAFT                                                                 Page 20 of 83
 1   Indicator        21 Per capita income
 2   Category            Poverty and inequality
 3   Goal                To halve poverty between 2004 and 2014
 4   Trend analysis      Poverty and inequality remains one of the major challenges facing South Africa. While there has been a decline in poverty over time, inequality remains high. There are huge income inequalities with
                         68.1% of income accruing to the richest 20% and the poorest 10% getting less than 0.57%. Over the period 1994 to 2009, the richest 10% of the population became significantly richer; however their
                         percentage of total income has reduced. The poorest 10% are better off in absolute terms, but relatively worst off.
 5 Data
                         Table 1           Per capita income (2009 constant Rand prices)                                            AMPS data
                                                 1993        1994         1995        1996           1997     1998          1999               2000       2001         2002          2003           2004        2005         2006        2007        2008      2009
                         poorest 10%              901          986         777         881            945      974           977                975        876          955         1 060           1 155       1 063        1 090       1 272       1 347     1 275
                         poorest 20%             1 341       1 423       1 162        1 280          1 314    1 348        1 371           1 364         1 252        1 361         1 502           1 587       1 523        1 561       1 799       1 923     1 837
                         richest 10%           81 739       77 857      76 517      78 926          80 213   86 708       86 679          85 589        85 678    82 610           95 707         93 356      101 052     104 163     107 901      126 692   111 733
                         richest 20%           54 385       51 956      51 003      52 185          53 722   57 638       57 662          56 904        57 028    55 252           62 213         61 205       65 860      67 626      72 112       83 554    77 278


                         Table 2           Percentage of total income (2009 constant Rand prices)                                   AMPS data
                                                 1993        1994         1995        1996           1997     1998          1999               2000       2001         2002          2003           2004        2005         2006        2007        2008      2009
                         poorest 10%            0.63%       0.71%        0.57%       0.63%          0.66%    0.64%        0.63%            0.64%         0.56%        0.62%        0.63%           0.69%       0.59%        0.59%       0.59%       0.57%     0.57%
                         poorest 20%            1.81%       1.99%        1.66%       1.82%          1.80%    1.73%        1.78%            1.78%         1.63%        1.77%        1.77%           1.89%       1.69%        1.69%       1.69%       1.62%     1.62%
                         richest 10%            54.8%       53.9%        54.4%      55.59%          54.3%    55.4%        55.4%            55.3%         55.2%        53.5%        56.3%           55.4%       55.5%        55.8%       55.8%       53.1%     49.2%
                         richest 20%            72.9%       72.0%        72.5%      73.41%          72.8%    73.6%        73.7%            73.5%         73.4%        71.6%        73.2%           72.7%       72.4%        72.5%       72.5%       70.0%     68.1%


                         Table 3           Per capita expenditure (2009 constant Rand prices)                                       IES data                                  Table 4         Per capita expenditure (2009 constant Rand prices)
                                                                          1995        2000      2005 (IES)                              2008                                                                    GHS Income            GHS Expenditure
                                                                                                                      Plutocratic    Democratic                                                                 2005         2009        2005        2009
                         African: mean                                 615.36       575.64        775.46                 845.83           824.44                              African: mean                    570.28     1205.06      620.46       734.30
                         African: median                               333.23       278.46        406.95                 453.85           441.84                              African: median                  240.00      452.00      294.73       329.38
                         Coloured: mean                                935.65     1,141.80       1,384.95              1,495.53         1,459.06                              Coloured: mean                  1048.10     2290.92     1089.65      1366.28
                         Coloured: median                              583.72       655.11        651.47                 712.23           693.62                              Coloured: median                 525.71     1050.00      597.63       667.73
                         Asian: mean                                  2,299.15    2,021.84       2,785.50              2,986.67         2,916.10                              Asian: mean                     2031.00     4634.08     2061.29      2650.40
                         Asian: median                                1,596.02    1,306.92       1,583.09              1,713.07         1,666.89                              Asian: median                   1289.17     3000.00     1100.04      1433.17
                         White: mean                                  4,436.18    5,129.21       7,645.56              8,141.15         7,962.24                              White: mean                     3997.13     8018.82     3898.18      4581.79
                         White: median                                3,442.72    3,544.50       5,331.61              5,667.50         5,545.80                              White: median                   2650.00     5750.00     2455.71      3244.53
                         Total: mean                                  1,101.48    1,074.29       1,514.81              1,631.33         1,592.81                              Total: mean                      928.78     1930.16     1089.69      1297.32
                         Total: median                                 428.74       356.27        483.87                 537.19           523.06                              Total: median                    290.00      576.84      398.20       442.53



 7 Data format           Rand and Percent
 8 Definition            Monthly per capita income (2008 constant Rand). The method of deriving plutocratic expenditure weights for official consumer price indices entails the aggregation of expenditure on a
                         specific item across all households and then calculating the share of this aggregate within total consumer expenditure. An alternative method of calculating weights eliminates the bias that
                         arises from the fact that plutocratic weights are a weighted mean of individual household price indices, where the weight is that household’s expenditure. Democratic weights entail a
                         change in the unit of analysis, from the product to the household. In order to arrive at an index that approximates the inflation experience of households in the middle of the expenditure
                         distribution, differential weighting of households must be eliminated so that each household’s structure of expenditure contributes equally to the overall weights.

 9 Data source           Van der Berg, et al (2009) based on All Media and Products Survey (AMPS) of various years (1993 - 2008), Bhorat (2009) based on Statistics SA's Income and Expenditure Survey (IES)
                         data (1995 - 2008). Bhorat (2010) An overview of Changes in Poverty and Inequality 2005 -2009 based on GHS Expenditure variables,

                       For
10 Notes on calculations the AMPS data income is recorded in more than 30 household income brackets. Incomes were converted to per capita levels by applying household size. Pareto estimates of income
                       were estimated in the open interval for each race and household size category. Income was assumed to be distributed equally within income brackets. AMPS income data show very strong
                       growth for 2005 and this income level was maintained and even grew in subsequent years. This is probably more the result of better capturing of incomes in the survey rather than of real
                       income shifts. To rather err on the side of being conservative regarding poverty trends, AMPS incomes for these later years were adjusted proportionately downwards to give growth rates
                       of income consistent with the national accounts. Without these adjustments, estimated poverty would have fallen even faster. These adjustments do not affect distribution estimates.
                       Adjustment of AMPS income in each year: Adjusted AMPS that for year’s income / Unadjusted AMPS2004 income = National account for that year’s current income / National account for
                       the 2004 current income.
                         For the IES data the poverty lines have been inflated from their 2000 values using CPI (all items) to 2008 constant Rand. The population has been weighted by the household weight
                         multiplied by the household size (and based on the 2001 Census). The 2008 “plutocratic” estimates were calculated by adjusting the expenditure recorded in the 2005/06 IES for inflation
                         that has been calculated using plutocratic weights. This is the conventional method of deriving expenditure weights for official consumer price indices employed by Statistics South Africa
                         and entails the aggregation of expenditure on a specific item across all households and then calculating the share of this aggregate within total consumer expenditure. As a result, the
                         plutocratic index is biased towards the upper end of the expenditure distribution (Oosthuizen, 2007). The 2008 “democratic” estimates were calculated by adjusting the expenditure
                         recorded in the 2005/06 IES for inflation that has been calculated using democratic weights. According to this method expenditure weights are first calculated for all households
                         individually, with the overall weight calculated as the mean across all households. This method attaches equal weight to each household in calculating the weight of the item in the index
                         and is more representative of household expenditure across the distribution (Oosthuizen, 2007).




DRAFT                                                                                                                                                 Page 21 of 83
 1   Indicator        22 Living Standards Measure (LSM)
 2   Category            Poverty and inequality
 3   Goal                Reducing inequalities.
 4   Trend analysis      The reduction over time of the number of people in the LSM 1-3 category provides evidence of the reduction of poverty levels in South Africa. These incomes just about doubled for those in LSM 1 and more than doubled for those in
                         LSM 10 – indicative of the high levels of economic inequality in the country. 


 5 Data                  Table 1    Living Standards Measure
                                               2000/01                         2001/02                         2002/03                         2003/04                         2004/05                         2005/06                         2006/07                         2007/08                          2009                         2010

                                                                                                                                                                                                                                                                                                                                               imputed avg
                                                   imputed avg                      imputed avg                     imputed avg                     imputed avg                     imputed avg                     imputed avg                     imputed avg                     imputed avg                     imputed avg                  monthly
                                                     monthly                          monthly                         monthly                         monthly                         monthly                         monthly                         monthly                         monthly                         monthly                   household
                                      no (000)       income           no (000)        income         no (000)         income         no (000)         income         no (000)         income         no (000)         income         no (000)         income         no (000)         income         no (000)         income      no (000)        income
                         LSM 1            3 456            R 742          3 003            R 804          3 059            R 860          2 764            R 878          2 317            R 911          1 895            R 999          1 493           R 1,058         1,062           R 1,080         1 031           1 386         808           R 1,448
                         LSM 2            3 950            R 883          4 221            R 963          3 935           R 1,129         3 848           R 1,076         3 745           R 1,103         3 784           R 1,214         3 407           R 1,261         2,732           R 1,401         2 436           1 564       1,944           R 1,859
                         LSM 3            4 062           R 1,092         4 149           R 1,200         4 257           R 1,355         4 250           R 1,412         3 979           R 1,434         3 878           R 1,521         3 693           R 1,613         2,953           R 1,795         2 610           2 116       2,394           R 2,153
                         LSM 4            3 896           R 1,541         4 066           R 1,596         4 179           R 1,761         4 465           R 1,792         4 582           R 1,888         4 603           R 1,940         4 488           R 2,022         4,557           R 2,536         4 641           2 580       4,744           R 2,966
                         LSM 5            3 634           R 2,195         3 703           R 2,239         3 725           R 2,421         3 978           R 2,436         4 132           R 2,518         4 176           R 2,681         4 320           R 2,903         4,843           R 3,122         5 153           3 627       5,636           R 3,965
                         LSM 6            3 621           R 3,555         3 716           R 3,625         3 842           R 3,970         4 246           R 4,057         4 451           R 4,194         4 454           R 4,404         4 976           R 4,723         5,597           R 5,386         6 086           5 990       6,891           R 6,573
                         LSM 7            1 717           R 5,349         1 886           R 5,662         1 886           R 5,991         1 877           R 6,437         2 174           R 6,444         2 413           R 6,841         2 653           R 7,579         2,957           R 8,677         3 182           9 694       3,621          R 10,081
                         LSM 8            1 663           R 7,212         1 705           R 7,537         1 745           R 8,396         1 462           R 8,429         1 609           R 9,174         1 759           R 9,252         1 928          R 10,015         2,158          R 12,337         2 449          13 188       2,830          R 13,979
                         LSM 9            1 559           R 9,568         1 666          R 10,234         1 699          R 11,561         1 799          R 11,499         1 971          R 11,864         2 085          R 12,558         2 228          R 13,507         2,546          R 16,296         2 895          17 809       3,038          R 18,860
                         LSM 10           1 455          R 13,416         1 469          R 15,072         1 446          R 17,173         1 621          R 18,643         1 695          R 18,822         1 857          R 19,817         1 923          R 20,278         1,898          R 23,054         2 015          26 602       2,114          R 28,038


                         Table 2    Living Standards Measure by province (2010)
                                          Eastern Cape                        Free State               Gauteng Province                  KwaZulu Natal                        Limpopo                     Mpumalanga                      North West                     Northern Cape                   Western Cape                        Total

                                                   imputed avg                      imputed avg                     imputed avg                     imputed avg                     imputed avg                     imputed avg                     imputed avg                     imputed avg                     imputed avg                imputed avg
                                        no           monthly            no            monthly           no            monthly           no            monthly           no            monthly           no            monthly           no            monthly           no            monthly           no            monthly       no           monthly
                                       (000)         income            (000)          income           (000)          income           (000)          income           (000)          income           (000)          income           (000)          income           (000)          income           (000)          income       (000)         income
                         LSM 1              465           R 1,320              22         R 1,328               0            R0               241         R 1,831              15          R 707               18         R 1,291              36          R 987               11         R 1,530               0           R0          808           R 1,448
                         LSM 2              674           R 1,635              33         R 1,371              31         R 1,856             768         R 2,060             143         R 2,792              78         R 1,427             168         R 1,492              43         R 1,274               6       R 2,062       1,944           R 1,859
                         LSM 3              600           R 2,036             116         R 1,601              80         R 1,886             775         R 2,301             405         R 2,492             157         R 2,197             178         R 1,873              69         R 1,563              14       R 1,200       2,394           R 2,153
                         LSM 4              777           R 2,645             263         R 2,274             210         R 2,891         1,161           R 3,350         1,139           R 3,466             449         R 2,465             490         R 2,748             159         R 1,694              97       R 2,631       4,744           R 2,966
                         LSM 5              617           R 3,413             666         R 3,035             685         R 3,631             985         R 4,268         1,008           R 5,164             591         R 3,745             679         R 4,250             154         R 2,329             251       R 3,458       5,636           R 3,965
                         LSM 6              745           R 5,531             562         R 4,887         1,774           R 7,178         1,056           R 7,002             653         R 8,357             545         R 7,039             613         R 7,289             112         R 4,080             831       R 4,899       6,891           R 6,573
                         LSM 7              310           R 9,043             201         R 8,183         1,227          R 11,498             537        R 10,648             167        R 10,545             176        R 11,966             184        R 10,933              44         R 8,204             775       R 7,733       3,621          R 10,081
                         LSM 8              213          R 11,682             131        R 12,444             937        R 15,978             484        R 15,268              99        R 14,696             165        R 15,310             157        R 15,040              40        R 11,343             604      R 10,404       2,830          R 13,979
                         LSM 9              224          R 16,554             134        R 13,638         1,049          R 21,304             596        R 19,558              85        R 25,389             113        R 19,838             153        R 21,478              50        R 17,619             632      R 14,479       3,038          R 18,860
                         LSM 10             108          R 23,790              82        R 22,656             889        R 30,863             546        R 28,800              39        R 22,134              47        R 29,008              52        R 27,725              36        R 18,767             314      R 23,287       2,114          R 28,038


 7 Data format           Number
 8 Definition            The South African Advertising Research Foundation (SAARF) Living Standards Measure (LSM) divides the population into 10 LSM groups, 10 (highest) to 1 (lowest) and LSMs are calculated using 29 variables taken directly from the
 9 Data source           South African Advertising Research Foundation (SAARF)




                                                   Table 1          Living Standards Measure
                                                                    2000/01                         2001/02                         2002/03                         2003/04                         2004/05                         2005/06                         2006/07                         2007/08                            2009                     2010


                                                                                                                                                                                                                                                                                                                                                                                imputed avg
                                                                                    imputed avg                     imputed avg                     imputed avg                     imputed avg                     imputed avg                     imputed avg                     imputed avg                     imputed avg                imputed avg                        monthly
                                                                                      monthly                         monthly                         monthly                         monthly                         monthly                         monthly                         monthly                         monthly                    monthly                         household
                                                                      no (000)        income         no (000)         income         no (000)         income         no (000)         income         no (000)         income         no (000)         income         no (000)         income         no (000)         income      no (000)       income          no (000)          income
                                                   LSM 1                  3 456            R 742          3 003            R 804          3 059            R 860          2 764            R 878          2 317            R 911          1 895            R 999          1 493           R 1,058         1,062         R 1,080       1,031             1,386            808        R 1,448
                                                   LSM 2                  3 950            R 883          4 221            R 963          3 935           R 1,129         3 848           R 1,076         3 745           R 1,103         3 784           R 1,214         3 407           R 1,261         2,732         R 1,401       2,436             1,564           1,944       R 1,859
                                                   LSM 3                  4 062           R 1,092         4 149           R 1,200         4 257           R 1,355         4 250           R 1,412         3 979           R 1,434         3 878           R 1,521         3 693           R 1,613         2,953         R 1,795       2,610             2,116           2,394       R 2,153
                                                   LSM 1-3               11 468             2 717       11 373              2 967       11 251              3 344       10 862              3 366       10 041              3 448         9 557             3 734         8 593             3 932         6 747           4 277        6077             5066            5146          5460
                                                   LSM 4                  3 896           R 1,541         4 066           R 1,596         4 179           R 1,761         4 465           R 1,792         4 582           R 1,888         4 603           R 1,940         4 488           R 2,022         4,557         R 2,536       4,641             2,580           4 744       R 2,966
                                                   LSM 5                  3 634           R 2,195         3 703           R 2,239         3 725           R 2,421         3 978           R 2,436         4 132           R 2,518         4 176           R 2,681         4 320           R 2,903         4,843         R 3,122       5,153             3,627           5,636       R 3,965
                                                   LSM 6                  3 621           R 3,555         3 716           R 3,625         3 842           R 3,970         4 246           R 4,057         4 451           R 4,194         4 454           R 4,404         4 976           R 4,723         5,597         R 5,386       6,086             5,990           6,891       R 6,573
                                                   LSM 7                  1 717           R 5,349         1 886           R 5,662         1 886           R 5,991         1 877           R 6,437         2 174           R 6,444         2 413           R 6,841         2 653           R 7,579         2,957         R 8,677       3,182             9,694           3,621      R 10,081
                                                   LSM 4-7               12 868            12 640       13 371            13 122        13 632            14 143        14 566            14 722        15 339            15 044        15 646            15 866        16 437            17 228        17 954           19 721      19 062           21 891           20 892        23 585
                                                   LSM 8                  1 663           R 7,212         1 705           R 7,537         1 745           R 8,396         1 462           R 8,429         1 609           R 9,174         1 759           R 9,252         1 928          R 10,015         2,158        R 12,337       2,449           13,188            2,830      R 13,979
                                                   LSM 9                  1 559           R 9,568         1 666          R 10,234         1 699          R 11,561         1 799          R 11,499         1 971          R 11,864         2 085          R 12,558         2 228          R 13,507         2,546        R 16,296       2,895           17,809            3,038      R 18,860
                                                   LSM 10                 1 455          R 13,416         1 469          R 15,072         1 446          R 17,173         1 621          R 18,643         1 695          R 18,822         1 857          R 19,817         1 923          R 20,278         1,898        R 23,054       2,015          R 26,602           2,114      R 28,038
                                                   LSM 8-10               4 677            30 196         4 840           32 843          4 890           37 130          4 882           38 571          5 275           39 860          5 701           41 627          6 079           43 801          6 602          51 686       7 359           57 599            7 982        60 877




                                       100%
                                        90%
                                        80%
                                        70%                                                                                                                              2004/05 no (000)
                                        60%                                                                                                                              2004/05 no (000)
                                        50%                                                                                                                              2003/04 no (000)
                                        40%
                                                                                                                                                                         2002/03 no (000)
                                        30%
                                                                                                                                                                         2001/02 no (000)
                                        20%
                                        10%                                                                                                                              2000/01 no (000)
                                          0%
                                                  LSM 1 LSM 2 LSM 3 LSM LSM 4 LSM 5 LSM 6 LSM 7 LSM LSM 8 LSM 9 LSM
                                                                    1-3                         4-7              10




DRAFT
 1 Indicator          23 Inequality measures
 2 Category              Poverty and inequality
 3 Goal                  To reduce income inequality
 4 Trend analysis          Income inequality in South Africa remains high based on various internationally accepted indicators and using different data sets. The AMPS data shows a consistent gini coefficient measure above 0.6 between
                           1993 and 2009, with the highest measure at 0.686 in 2003 and the lowest measure at 0.644 in 2009. It is difficult to discern a trend as the gini coefficient fluctuates over the period 1993 and 2009. Using AMPS
                           within race inequality shows an upward trend until 2008, with a decrease in 2009. Between races inequality shows a downward trend over the period 1993 to 2009.
 5 Data
                           Table                        Inequality measures
                                                          1993    1994        1995    1996     1997   1998         1999       2000     2001   2002       2003    2004     2005   2006       2007                          2008                      2009


                           Gini coefficient
                                              AMPS        0.672   0.665    0.674     0.678    0.674   0.683       0.685      0.682    0.685   0.670     0.686    0.678   0.683 0.685        0.660                         0.666                     0.644
                                              IES                          0.640                                             0.680                                       0.690                      0.679 (Plutocratic)       0.679 (Democratic)
                                              GHS Income                                                                                                                 0.712                                                                      0.702
                                              GHS Expenditure                                                                                                            0.686                                                                      0.683

                           Theil
                           Within-Race        AMPS        0.350   0.349    0.366     0.370    0.382   0.389       0.400      0.464    0.456   0.502     0.550    0.514   0.597 0.613        0.574                         0.618                     0.555
                                              IES                          0.433                                             0.554                                       0.511                      0.499 (Plutocratic)       0.500 (Democratic)
                                              GHS Income                                                                                                                 0.721                                                                      0.720
                                              GHS Expenditure                                                                                                            0.598                                                                      0.590


                           Between-Race       AMPS        0.549   0.532    0.533     0.548    0.524   0.548       0.538      0.471    0.480   0.418     0.463    0.453   0.415 0.416        0.342                         0.331                     0.240
                                              IES                          0.381                                             0.441                                       0.504                      0.491 (Plutocratic)       0.493 (Democratic)
                                              GHS Income                                                                                                                 0.328                                                                      0.305
                                              GHS Expenditure                                                                                                            0.395                                                                      0.361


                           Total value        AMPS        0.899   0.880    0.899     0.918    0.906   0.937       0.938      0.935    0.937   0.921     1.013    0.967   1.012 1.030        0.917                         0.950                     0.795
                                              IES                          0.814                                             0.995                                       1.014                      0.990 (Plutocratic)       0.993 (Democratic)
                                              GHS Income                                                                                                                 1.049                                                                      1.025
                                              GHS Expenditure                                                                                                            0.992                                                                      0.950


                           Table 1 Inequality Estimates for South Africa

                                                                                                                                                        Gini Coeffient (GHS) Income     Gini Coeffient (GHS) Expenditure                           NIDS Gini Coefficient for income and
                                                                              Gini Coeffient (IES)
                                                                                                                                                                                                                                                   Expenditure, 2009
                           Race                         2005                         2008(Plutoric)                  2008(Demoratic)                  Race               2005    2008 Race                2005                    2008             Income          Expenditure


                           African                      0.56                         0.55                                  0.55                       African            0.66    0.66 African              0.61                    0.61               0.60            0.59
                           Coloured                     0.58                         0.57                                  0.57                       Coloured           0.58    0.61 Coloured             0.54                    0.59               0.53            0.57
                           Asian                        0.53                         0.53                                  0.53                       Asian              0.53    0.51 Asian                0.51                    0.53               0.59            0.53
                           White                        0.45                         0.45                                  0.45                       White              0.54    0.48 White                0.48                    0.45               0.48            0.45
                           Total                        0.69                         0.68                                  0.68                       Total              0.72    0.72 Total                0.69                    0.68               0.68            0.69


                           Table 2 GHS Gini Coefficient for Income and Expenditure                                NIDS Coefficient for Income and Expenditure


                           Province                 Income                           Expenditure              Province               Income             Expenditure
                                                2005      2009                        2005    2009                                     2009                      2009
                           Eastern Cape          0.70      0.68                        0.66    0.63           Eastern Cape             0.66                       0.68
                           Free State            0.68      0.69                        0.66    0.67           Free State               0.67                       0.62
                           Gauteng               0.67      0.67                        0.64    0.65           Gauteng                  0.66                       0.60
                           KwaZulu-Natal         0.70      0.69                        0.68    0.64           KwaZulu-Natal            0.73                       0.77
                           Limpopo               0.69      0.71                        0.62    0.64           Limpopo                  0.68                       0.65
                           Mpumalanga            0.68      0.68                        0.66    0.67           Mpumalanga               0.68                       0.65
                           Northern Cape         0.71      0.71                        0.69    0.66           Northern Cape            0.58                       0.56
                           North West            0.68      0.70                        0.64    0.68           North West               0.63                       0.64
                           Western Cape          0.66      0.61                        0.63    0.64           Western Cape             0.60                       0.63


 7 Data format             Index
 8 Definition              Gini coefficient: It measures the inequality as a proportion of its theoretical maximum. The Gini coefficient can range from 0 (no inequality) to 1 (complete inequality). NIDS - National Income Dynamics Study

                           Theil: This index calculate the weighted sum of inequality within subgroups
 9 Data source             Van der Berg, et al (2009) based on All Media and Products Survey (AMPS) of various years (1993 - 2008), Bhorat (2008) based on Statistics SA's IES data (1995 - 2008). Income & Expenditure Inequality:
                           Analysis of the NIDS Wave 1 Dataset - Discussion paper no 5.(July 2009),Bhorat (2010) An overview of Changes in Poverty and Inequality 2005 -2009 based on GHS Expenditure variables,

10 Notes on calculations   AMPS data - Gini coefficients calculated from data recorded in income brackets and without probing on all individual income sources (such as census data or AMPS) are usually somewhat higher. Trends,
                           however, should not be affected.
                           For IES data, the changes in the values of the Gini coefficients between 1995 and 2005 are statistically significant at the 95 percent level, with the exception of Africans. The changes in the values of the Gini
                           coefficients between 2000 and 2005 are not statistically significant at the 95 percent level, for the total, Asians and Whites. The population in 1995 and 2000 has been weighted by population weights according
                           to the 1996 Census. Population weights are not available for the 2005 dataset and the population has been weighted by the household weight multiplied by the household size - these weights are based on the
                           2001 Census. It has not been possible to calculate confidence intervals or t-statistics for the Theil measures, and as such it becomes impossible to evaluate if the change in the contribution of the two
                           components to total inequality is statistically significan In 2008 the population has been weighted by the household weight multiplied by the household size (and based on the 2001 Census). None of the changes
                           in Gini coefficients are statistically significant. For both the plutocratic and democratic estimates, expenditures were adjusted using expenditure decile-specific inflation rates. See also Indicator 19.




DRAFT                                                                                                                                                                      Page 23 of 83
 1   Indicator        24 Poverty headcount index
 2   Category            Poverty and inequality
 3   Goal                Meeting basic needs of all South Africans.
 4   Trend analysis      The proportion of the population living below a R422 a month poverty line has decreased from 50% in 1994 to 34.5% in 2009. Whilst the poverty levels remain unacceptably high, the decrease in poverty headcount in the past decade or so has been confirmed by similar research done by for example
                         Leibbrandt and others (2010).

 5 Data
                         Table 1                                                          Percentage of population living below various poverty lines (in 2008 constant Rand)
                                                                                                                  1993           1994          1995               1996             1997              1998           1999           2000              2001           2002            2003              2004           2005           2006              2007                 2008                   2009
                         R524 a month poverty line (IES)                                                                                        53%                                                                                 58%                                                                               48%                                    49% (Plutocratic) 50% (Democratic)
                         R422 a month poverty line (AMPS)                                                        50.1%          50.5%         51.7%              53.1%            51.2%          51.0%             52.1%          50.8%         51.4%              49.0%           47.6%           46.9%            44.5%          43.9%          38.2%                   33.9%                   34.5%
                         R283 a month poverty line (IES)                                                                                        31%                                                                                 38%                                                                               23%                                     22%(Plutocratic) 23% (Democratic)

                         Table 2          Percentage of population living below various poverty lines (in 2009 constant Rand                           Table 3           Percentage of people living below R283 per per month poverty lines in 2008 constant rand (IES)
                                          from GHS)


                                                                                                      2005                   2009                      Province          Population       1995 IES          People living Com Survey      2005 IES          People living 2008 Mid-        2008 IES          People living 2008 Mid-       2008 IES           People living
                                                                                                                                                                         Census 1996                        in poverty    2007                              in poverty    year                               in poverty    year                               in poverty
                                                                                                                                                                                                                                                                          population       (Plutocratic)                   population      (Democratic)
                                                                                                                                                                                                                                                                          estimates                                        estimates

                         Expenditure Poverty Line [R551.78 per person per month]                      70%                    65%                       Eastern Cape           6,147,244              50%       3,073,622      6,527,747              29%        1,891,741      6,579,245              29%       1,907,981      6,579,245              61%         4,008,076
                         Income Poverty Line [R551.78 per person per month]                           59%                    46%                       Free State             2,633,504              45%       1,185,077      2,773,059              16%         442,858       2,877,694              16%         447,535      2,877,694              44%         1,270,790

                         Expenditure Poverty Line [R298.17 per person per month]                      54%                    49%                       Gauteng                7,624,893               7%         533,743     10,451,713               7%         693,994      10,447,246               6%         674,911     10,447,246              28%         2,974,331
                         Income Poverty Line [R298.17 per person per month]                           40%                    27%                       KwaZulu-Natal          8,572,302              31%       2,657,414     10,259,230              33%        3,395,805     10,105,437              33%       3,323,202     10,105,437              62%         6,273,455

                         Expenditure Poverty Line [R149.08 per person per month]                      31%                    25%                       Limpopo                4,576,133              41%       1,876,215      5,238,286              34%        1,781,017      5,274,836              34%       1,788,567      5,274,836              66%         3,505,656
                         Income Poverty Line [R149.08 per person per month]                           23%                    12%                       Mpumalanga             3,124,203              34%       1,062,229      3,643,435              28%        1,023,805      3,589,909              28%         990,195      3,589,909              57%         2,058,813
                                                                                                                                                       Northern Cape          1,011,864              40%         404,746      1,058,060              28%         298,373       1,125,881              27%         309,491      1,125,881              55%           616,420

                                                                                                                                                       North West             2,936,554              34%         998,428      3,271,948              24%         778,724       3,425,153              23%         800,982      3,425,153              53%         1,805,056
                                                                                                                                                       Western Cape           3,956,875               9%         356,119      5,278,585              10%         501,466       5,261,922               9%         479,326      5,261,922              30%         1,588,574

                                                                                                                                                       Total                 40,583,573              31%      12,580,908     48,502,063              23%      11,009,968      48,687,323              22%      10,910,883     48,687,323              51%         24,726,668


                         Table 4          Percentage of people living below different poverty lines(in 2009 prices (GHS Income)
                                                                                       Poverty Line [R551.78 per                                       $2 a Day                                             $1 a Day                                         Poverty Line                                    $2 a Day                                         $1 a Day
                                                                                      person per month]                                 2005 Mid-      Poverty Line                        2005 Mid-        Poverty Line                  2009 Mid-         [R551.78 per                 2009 Mid-           Poverty Line                 2009 Mid-           Poverty Line
                                                                                                                                       year            [R298.17 per                       year              [R149.08 per                 year               person per                  year                 [R298.17 per                 year                [R149.08 per
                                                                                                                         People living population      person per        People living    population        person per     People living population         month]        People living population           person per     People living population          person per       People living
                         Province         2005 Mid-year population estimates                                             in poverty    estimates       month]            in poverty       estimates         month]         in poverty    estimates                        in poverty    estimates            month]         in poverty    estimates           month]           in poverty
                         Eastern Cape                                         7,039,300              74.00%                 5,209,082      7,039,300      54.00%              3,801,222      7,039,300         30.00%         2,111,790      6,648,600         62.00%          4,122,132       6,648,600        37.00%         2,459,982      6,648,600           14.00%            930,804
                         Free State                                           2,953,100              60.00%                 1,771,860      2,953,100      37.00%              1,092,647      2,953,100         20.00%          590,620       2,902,400         48.00%          1,393,152       2,902,400        27.00%          783,648       2,902,400           10.00%            290,240
                         Gauteng                                              9,018,000              37.00%                 3,336,660      9,018,000      23.00%              2,074,140      9,018,000         15.00%         1,352,700     10,531,300         26.00%          2,738,138      10,531,300        13.00%         1,369,069     10,531,300           6.00%             631,878
                         KwaZulu-Natal                                        9,651,100              63.00%                 6,080,193      9,651,100      45.00%              4,342,995      9,651,100         24.00%         2,316,264     10,449,300         54.00%          5,642,622      10,449,300        33.00%         3,448,269     10,449,300           14.00%          1,462,902
                         Limpopo                                              5,635,000              79.00%                 4,451,650      5,635,000      60.00%              3,381,000      5,635,000         36.00%         2,028,600      5,227,200         65.00%          3,397,680       5,227,200        46.00%         2,404,512      5,227,200           22.00%          1,149,984
                         Mpumalanga                                           3,219,900              65.00%                 2,092,935      3,219,900      45.00%              1,448,955      3,219,900         24.00%          772,776       3,606,800         52.00%          1,875,536       3,606,800        31.00%         1,118,108      3,606,800           2.00%              72,136
                         Northern Cape                                         902,300               62.00%                  559,426        902,300       44.00%                397,012        902,300         24.00%          216,552       1,147,600         48.00%           550,848        1,147,600        29.00%          332,804       1,147,600           13.00%            149,188
                         North West                                           3,823,900              59.00%                 2,256,101      3,823,900      33.00%              1,261,887      3,823,900         17.00%          650,063       3,450,400         52.00%          1,794,208       3,450,400        32.00%         1,104,128      3,450,400           11.00%            379,544
                         Western Cape                                         4,645,600              35.00%                 1,625,960      4,645,600      18.00%                836,208      4,645,600         10.00%          464,560       5,356,900         22.00%          1,178,518       5,356,900        9.00%           482,121       5,356,900           5.00%             267,845
                         Total                                             46,888,200                59.00%                27,664,038     46,888,200      40.00%             18,755,280     46,888,200         23.00%        10,784,286     49,320,500         46.00%         22,687,430      49,320,500        27.00%        13,316,535     49,320,500           12.00%          5,918,460

                         Table 5          Percentage of people living below different poverty lines in 2009 prices (GHS Expenditure)
                                                                                       Poverty Line [R551.78 per                                                                                                                                             Poverty Line
                                                                                      person per month]                                                $2 a Day                                             $1 a Day                                        [R551.78 per                                     $2 a Day                                         $1 a Day
                                                                                                                                    2005 Mid-          Poverty Line                        2005 Mid-        Poverty Line                  2009 Mid-         person per                    2009 Mid-          Poverty Line                 2009 Mid-           Poverty Line
                                                                                                                                   year                [R298.17 per                       year              [R149.08 per                 year               month]                        year               [R298.17 per                 year                [R149.08 per
                                                                                                                     People living population          person per        People living    population        person per     People living population                         People living population         person per     People living population          person per       People living
                         Province         2005 Mid-year population estimates                                         in poverty    estimates           month]            in poverty       estimates         month]         in poverty    estimates                          in poverty    estimates          month]         in poverty    estimates           month]           in poverty
                         Eastern Cape                                         7,039,300              83.00%                 5,842,619      7,039,300      71.00%              4,997,903      7,039,300         46.00%         3,238,078      6,648,600         75.00%          4,986,450       6,648,600        58.00%         3,856,188      6,648,600           30.00%          1,994,580
                         Free State                                           2,953,100              70.00%                 2,067,170      2,953,100      54.00%              1,594,674      2,953,100         29.00%          856,399       2,902,400         62.00%          1,799,488       2,902,400        45.00%         1,306,080      2,902,400           21.00%            609,504
                         Gauteng                                              9,018,000              48.00%                 4,328,640      9,018,000      31.00%              2,795,580      9,018,000         15.00%         1,352,700     10,531,300         47.00%          4,949,711      10,531,300        30.00%         3,159,390     10,531,300           13.00%          1,369,069
                         KwaZulu-Natal                                        9,651,100              75.00%                 7,238,325      9,651,100      60.00%              5,790,660      9,651,100         35.00%         3,377,885     10,449,300         72.00%          7,523,496      10,449,300        53.00%         5,538,129     10,449,300           27.00%          2,821,311
                         Limpopo                                              5,635,000              75.00%                 4,226,250      5,635,000      75.00%              4,226,250      5,635,000         46.00%         2,592,100      5,227,200         82.00%          4,286,304       5,227,200        70.00%         3,659,040      5,227,200           45.00%          2,352,240
                         Mpumalanga                                           3,219,900              78.00%                 2,511,522      3,219,900      61.00%              1,964,139      3,219,900         34.00%         1,094,766      3,606,800         75.00%          2,705,100       3,606,800        63.00%         2,272,284      3,606,800           37.00%          1,334,516
                         Northern Cape                                         902,300               78.00%                  703,794        902,300       63.00%                568,449        902,300         37.00%          333,851       1,147,600         72.00%           826,272        1,147,600        55.00%          631,180       1,147,600           28.00%            321,328
                         North West                                           3,823,900              74.00%                 2,829,686      3,823,900      52.00%              1,988,428      3,823,900         23.00%          879,497       3,450,400         69.00%          2,380,776       3,450,400        54.00%         1,863,216      3,450,400           29.00%          1,000,616
                         Western Cape                                         4,645,600              49.00%                 2,276,344      4,645,600      28.00%              1,300,768      4,645,600         10.00%          464,560       5,356,900         47.00%          2,517,743       5,356,900        30.00%         1,607,070      5,356,900           10.00%            535,690
                         Total                                             46,888,200                70.00%                32,821,740     46,888,200      54.00%             25,319,628     46,888,200         31.00%        14,535,342     49,320,500         65.00%         32,058,325      49,320,500        49.00%        24,167,045     49,320,500           25.00%         12,330,125


 7 Data format           Percentage. See indicator 19 for the definitions of 'Plutocratic' and 'Democratic' methods.
 8 Definition            Headcount index (P0), the proportion of the population living below a poverty line of R5 065 in 2009 constant Rand, GHS - General Household Survey
 9 Data source           Van der Berg et al (2010, unpublished) based on All Media and Products Survey (AMPS) of various years (1993 - 2009), Bhorat (2009) based on Statistics SA's IES data (1995 - 2008).Bhorat (2010) An overview of Changes in Poverty and Inequality 2005 -2009 based on GHS Expenditure variables,
10 Notes on              AMPS income data show very strong growth for 2006 and this income level was maintained and even grew in subsequent years. This is probably more the result of better capturing of incomes in the survey rather than of real income shifts. To rather err on the side of being conservative regarding poverty
   calculation           trends, AMPS incomes for 2005 were proportionately adjusted downwards to give growth rates of income consistent with the national accounts. Without these adjustments, estimated poverty would have fallen even more. These adjustments do not affect distribution estimates. Adjustment of AMPS income
                         in 2005: Adjusted AMPS 2005 income / Unadjusted AMPS2004 income = National account 2005 current income / National account 2004 current income. Adjustment of AMPS income in 2006: Adjusted AMPS 2005 income * (1 + AMPS income real income growth rate between 2005 and 2006).
                         Adjustment of AMPS income in 2007: Adjusted AMPS 2006 income * (1 + AMPS income real income growth rate between 2006 and 2007). Adjustment of AMPS income in 2008: Adjusted AMPS 2007 income * (1 + AMPS income real income growth rate between 2007 and 2008). Adjustment of AMPS
                         income in 2009: Adjusted AMPS 2008 income * (1 + AMPS income real income growth rate between 2008 and 2009).




DRAFT                                                                                                                                                                                                            Page 24 of 83
 1   Indicator        25 Poverty gap analysis: Poverty Gap Index (P1) and Squared Poverty Gap Index (P2)
 2   Category            Poverty and inequality
 3   Goal                To reduce the poverty gap and the severity of poverty
 4   Trend analysis      Data shows that both the depth and severity of poverty were reduced over a period of 15 years since 1995. Again, these trends are confirmed by other studies conducted by poverty researchers in South Africa
                         – sometimes attributed to the role of government interventions like the roll-out of the social grants.

 5 Data
                         Table 1                            P1: Depth of poverty (in 2008 constant rand)
                                                                                   1993   1994   1995   1996   1997   1998   1999   2000   2001   2002   2003   2004   2005    2006   2007            2008                     2009   2010
                         P1 : Depth of poverty
                         R524 a month poverty line          IES                                  0.26                               0.31                               0.21                  0.21 (plutocratic) 0.21 (democratic)
                         R422 a month poverty line          AMPS                   0.24   0.24   0.27   0.26   0.25   0.25   0.26   0.25   0.26   0.24   0.23   0.22   0.21    0.21   0.18               0.15                  0.16
                         R283 a month poverty line          IES                                  0.12                               0.16                               0.07                  0.06 (plutocratic) 0.07 (pemocratic)


                         Table 2                            P1: Depth of poverty (GHS)
                                                                                          1993   1994   1995   1996   1997   1998   1999   2000   2001   2002   2003   2004   2005    2006              2007     2008          2009   2010
                         Expenditure Poverty Line [R551.78 per person per month]                                                                                              0.45                                             0.40
                         Income Poverty Line [R551.78 per person per month]                                                                                                   0.36                                             0.24
                         Expenditure Poverty Line [R298.17 per person per month]                                                                                              0.29                                             0.24
                         Income Poverty Line [R298.17 per person per month]                                                                                                   0.23                                             0.12
                         Expenditure Poverty Line [R149.08 per person per month]                                                                                              0.14                                             0.09
                         Income Poverty Line [R149.08 per person per month]                                                                                                   0.14                                             0.04


                         Table 3                            P2: Severity of poverty( in 2008 constant rand)
                                                                        1993       1994   1995   1996   1997   1998   1999   2000   2001   2002   2003   2004   2005   2006    2007   2008                                     2009   2010
                         R422 a month poverty line          AMPS         0.15      0.14   0.17   0.16   0.16   0.16   0.16   0.15   0.17   0.15   0.13   0.13   0.13   0.12    0.10   0.09                                     0.10


                         Table                              P2: Severy of poverty (GHS)
                                                                                          1993   1994   1995   1996   1997   1998   1999   2000   2001   2002   2003   2004   2005    2006              2007     2008          2009   2010
                         Expenditure Poverty Line [R551.78 per person per month]                                                                                              0.33                                             0.28
                         Income Poverty Line [R551.78 per person per month]                                                                                                   0.26                                             0.15
                         Expenditure Poverty Line [R298.17 per person per month]                                                                                              0.19                                             0.15
                         Income Poverty Line [R298.17 per person per month]                                                                                                   0.17                                             0.07
                         Expenditure Poverty Line [R149.08 per person per month]                                                                                              0.08                                             0.05
                         Income Poverty Line [R149.08 per person per month]                                                                                                   0.11                                             0.02




 7 Data format           Index. See indicator 19 for the definitions of 'Plutocratic' and 'Democratic' methods.
 8 Definition            Depth of poverty (P1), at a poverty line of R388 per month in constant 2008 Rand. It is based on how far below the poverty line the average income for an average poor person is, i.e. how deep their poverty is.

                         Severity of poverty (P2), at a poverty line of R388 per month in constant 2008 constant Rand. It is based on the square of the gap between the poverty line and the incomes of the poor, thus it gives great
                         weight to those who are most deeply in poverty.
 9 Data source           Van der Berg, et al (2009) based on All Media and Products Survey (AMPS) of various years (1993 - 2008), Bhorat (2009) based on Statistics SA IES data (1995 - 2008). Bhorat (2010) An overview of
                         Changes in Poverty and Inequality 2005 -2009 based on GHS Expenditure variables,

                       See indicator 23 and 24
10 Notes on calculations




DRAFT                                                                                                                           Page 25 of 83
 1   Indicator        26 Social-assistance support
 2   Category            Poverty and inequality
 3   Goal                To provide appropriate social-assistance support to all eligible beneficiaries.
 4   Trend analysis      The total number of grant recipients was 14.87 million as at March 2010. The increase in the growth rate from 23.4% in 2002/03, to 39.1% in 2005/06, can mainly be ascribed to the age
                         extension of the Child Support Grant. The growth rate slows from 2006/07 and then increases, due to further age extensions, albeit at a slower rate from 2008/09 to 2010/11. Given that
                         growth has largely been due to the age extension of CSG, it should be expected to stabilise over time. Grant expenditure as a % of GDP has increased from 2.9% in 2003/04 to 3.5% in
                         2010/11- leading to concerns about its sustainability in the future.

 5 Data
                         Table 1                   Social assistance grants recipients
                         Grant type                    1996/97     1997/98      1998/99      1999/00     2000/01       2001/02      2002/03     2003/04      2004/05      2005/06      2006/07      2007/08*     2008/09      2009/10       2010/11
                         Old Age Grant              1,637,934    1,697,725    1,812,695   1,848,726    1,900,406     1,903,042    1,943,348   2,050,572    2,124,984    2,146,344    2,195,018    2,229,550    2,390,543    2,546,657     2,678,554
                         War Veterans Grant            13,473       10,525        9,197       7,908        5,617        5,336        4,638        3,996       2,963         2,817        2,340        1,924        1,500        1,216          958
                         Disability Grant             711,629      660,528      633,778     607,537      655,822      694,232      840,424    1,228,231    1,293,280    1,315,143    1,422,808    1,408,456    1,286,883    1,264,477     1,200,898
                         Foster Child Grant            42,999       43,520       46,496      49,843       66,967       67,817       83,574      120,571     195,454       317,434      400,503      454,199      474,759      510,760      512,874
                         Child Dependency Grant         2,707        8,172       16,835      22,789       33,574       34,978       42,355       76,494      86,917        90,112       98,631      102,292      107,065      110,731      112,185
                         Child Support Grant                                     21,997     150,366    1,111,612     1,277,396    1,998,936   2,996,723    4,165,545    7,075,266    7,863,841    8,189,975    8,765,354    9,570,287    10,371,950
                         Total                       2,408,742    2,420,470   2,540,998    2,687,169   3,773,998     3,982,801    4,913,275    6,476,587   7,869,143    10,947,116   11,983,141   12,386,396   13,026,104   14,004,128   14,877,419
                         Growth Rate                                  0.5%         5.0%        5.8%        40.4%         5.5%        23.4%        31.8%       21.5%         39.1%         9.5%         3.4%         5.2%         7.5%              6%
                         Grant-in-aid                                9,183        8,496       8,570       10,107       10,332       12,625       17,528      25,667        26,960       31,918       37,343       46,069       53,237       58,413



                         Table 2                   Social assistance grants recipients per province, 31 March 2010
                         Grant type                 Eastern      Free State   Gauteng      KwaZulu-     Limpopo      Mpuma-      North-West   Northern     Western        Total
                                                     Cape                                    Natal                    langa                    Cape         Cape

                         Old age                       487,067     161,848      350,881     560,787      404,739      183,288      229,320       70,458     230,166      2,678,554
                         War Veteran                       129          21          219         140           79           41           33           41         255           958
                         Disability Grant              194,224      95,863      124,150     331,637       98,715       72,267       86,540       47,756     149,746      1,200,898
                         Permanent disability         185,275       75,099      103,962     262,457       79,092       61,545       72,285       36,925     111,761       988,401
                         Temporary disability            8,949      20,764       20,188      69,180       19,623       10,722       14,255       10,831      37,985       212,497
                         Grant-in-aid                    7,418         941        1,006      25,687        6,885        1,487        2,782        3,739       8,468        58,413
                         Foster Child Grant            108,389      43,764       59,477     134,181       54,701       27,366       41,405       14,999      28,592       512,874
                         Child Dependency Grant         18 417       4,925       13,649      34,377       12,650        6,050        8,668        4,094       9,355       112 185
                         Child Support Grant         1,769,949     583,524    1,276,109   2,623,772    1,584,855      806,581      752,026      246,233     728,901     10,371,950
                         Total 2006/07               2,244,303     723,698    1,406,445    2,931,722   1,751,512       901,386    1,001,629     232,102      790,344    11,983,141
                         Total 2007/08               2,228,201     752,763    1,450,009    3,119,502   1,802,325       924,958      982,904     303,974      821,760    12,386,396
                         Total 2008/09               2,325,456     752,694    1,530,018    3,302,953   1,905,435       974,645    1,020,906     329,367      884,630    13,026,104
                         Total 2009/10               2,459,221     827,557    1,683,849    3,515,750   2,024,072     1,035,313    1,073,507     356,876    1,027,983    14,004,128
                         Total 2010/11               2,578,175     889,945    1,824,485    3,684,894   2,155,739     1,095,593    1,117,992     383,581    1,147,015    14,877,419


                         Table 3                   Social assistance grant expenditure
                                                                                                                                              2003/04      2004/05       2005/06      2006/07      2007/08      2008/09      2009/10     2010/11
                         Expenditure (R million)                                                                                               36,982       44,885       50,708       57,032       62,467       70,715       80,080       87,493
                         % of GDP                                                                                                                  2.9%        3.1%          3.2%         3.3%         3.2%         3.2%         3.5%          3.5%


 7   Data format         Number of recipients, Rand in million, Percentage of GDP
 8   Definition          Total number of recipients of social-assistance grants as recorded for each financial year
 9   Data source         1-2, South African Social Security Agency's (SASSA) Social Security Pension System (Socpen), 3. National Treasury's Budget Review (2010)
10   Data Note           The total figures does not include Grant-in-Aid as Grant-in-Aid is an additional type of grant awarded to persons who might already be receiving other forms of grants such
                         as Old age grants, Disability or War veteran's grants as a result of being unable to care for themselves. Grant-in-Aid may create duplicates in terms of head counts.
                         Disability Grant Total consists of Temporary Disability Grant (which is a disability grant that is awarded for a period no less than 6 months and not more than 12 months )
                         and Permanent disability grant (which is a disability grant that is awarded for a period longer than 12 months).




DRAFT                                                                                                                                                   Page 26 of 83
1   Indicator      27 People with disabilities
2   Category          Empowerment and equity
3   Goal              To implement inclusive education and mainstreaming disability in South Africa
4   Trend analysis    Over the period 1996/07 to 2006/07 there was a steady increase in the total number of disabled grants beneficiaries. From 2007/08 there has been a decline in the number of disability grant beneficiaries; this is due to
                      SASSA having set up Disability Management Units and the stricter application of the assessment criteria for disability. Much remains to be done in terms of ensuring representation of people with disability in senior and top
                      management positions, both in the public and private sectors of the economy.


5 Data                  Table 1                                      Statistics South Africa data on people with diabilities
                                                                    Census 1996                                                            Census 2001                                                                     Community Survey 2007                   GHS 2009
                        Male                                           1,194,349                                                              1,082,044                                                                                1,000,558                   1,834,000
                        Female                                         1,463,364                                                              1,173,938                                                                                  915,661                   2,067,000
                        Total                                          2,657,714                                                              2,255,982                                                                                1,916,219                   3,901,000
                        % of total population                                 6.5                                                                    5.0                                                                                      4.0                         7.9



                        Table 2                                      SASSA data on Disability Grant Beneficiaries
                                                                         1996/07     1997/08       1998/09      1999/00          2000/01        2001/02      2002/03      2003/04      2004/05      2005/06      2006/07      2007/08*      2008/09      2009/10      2010/11
                        Number of Care Dependency Grant Beneficiaries       3487        8172         16835        22789            33574          34978        42355        76494        86917        90112        98631       102292        107065       110731       112185
                        Number of Disability Grant Beneficiaries        711,629     660,528       633,778      607,537          655,822        694,232      840,424    1,228,231    1,293,280    1,315,143    1,422,808     1,408,456    1,286,883    1,264,477    1,200,898
                        Total Number of Disabled Beneficiaries          715,116     668,700       650,613      630,326          689,396        729,210      882,779    1,304,725    1,380,197    1,405,255    1,521,439     1,510,748    1,393,948    1,375,208    1,313,083
                        Disability grant beneficiaries as a % of total
                        social grant beneficiaries                           30%          28%          26%           23%           18%             18%         18%          20%          18%           13%          13%          12%           11%          10%           9%

                        Total social grant beneficiaries                 2,408,742   2,420,470    2,540,998    2,687,169       3,773,998      3,982,801    4,913,275   6,476,587    7,869,143    10,947,116   11,983,141   12,386,396    13,026,104   14,004,128   14,877,419



                        Table 3                                       Department of Education data on Special Schools Matric Pass Rate
                        In special schools                                                                                                                                  2002         2003         2004         2005          2006         2007         2008         2009    2010
                        Number of Learners who wrote Matric in Special Schools                                                                                               562          519          777          754           692          727          804          872     792
                        Total Pass                                                                                                                                           383          416          563          528           528          492          636          697     633

                        Table 4                                      Department of Labour data on Employees with disabilities
                                                                                     2005                                  2006                                         2007                                    2008                                    2009                           2010
                                                                           Male       Female        Total       Male        Female                Total        Male      Female          Total        Male       Female          Total        Male       Female         Total   Male    Female   Total
                        Top Management                                      225           98         323         143            34                 177           62          12            74          192           43           235          210           50          260     500       104    604
                        Senior Management                                   236           70         306         193            72                 265          161          45           206          303          109           412          530          174          704     837       334   1171


7 Data format           Number of disabled population, Percentage
8 Definition            Grants include Disability grant, Old age grant, War veteran grant, Care Dep, Child support, Foster care and does not include Grant-in-aid

9 Data source           Table 1: Statistics South Africa, Census 1996,2001; Community Survey 2007 and GHS 2009
                        Table 2: South African Social Security Agency(SASSA)
                        Table 3: Department of Basic Education: Inclusive Education
                        Table 4: Department of Labour, Commission for Employment Equity(CEE) annual report

    Data note           The current definition of disability is "the loss or elimination of opportunities to take part in the life of the community, equitably with others that is encountered by persons having physical, sensory, phsycological,
                        developmental, learning, neurological or other impairments, which may be permanent, temporary or episodic in nature, thereby causing activity limitations and participation restriction with the mainstream society. These
                        barriers may be due to economic, physical, social, attitudinal and/or cultural factors"
 1   Indicator      28 Meeting housing needs
 2   Category          Basic services
 3   Goal              Meeting housing needs and building decent human settlements
 4   Trend analysis    Government has continued to sustain its drive of delivering housing to the poor, reaching a cumulative target of 3.2 million houses framed by a concerted integrated planning approach for sustainable human
                       settlements and improvements in the quality of life of all residents. The targeting of well located public land for higher density mixed income residential development, the development of social housing within designated
                       restructuring zones and specific support for the upgrading of informal settlements are key mechanisms being used to trigger improved overall human settlements performance.




5 Data

                         Table 1                        Number of households - Statistics South Africa
                                                              1994      1995           1996        1997            1998          1999        2000          2001          2002       2003       2004              2005       2006       2007              2008       2009       2010
                       1 Number of households (HH)       8 584 556               9 059 606 9 256 707          9 287 696    10 770 793                11 205 705    11 013 000 11 362 000 11 712 000        12 075 000 12 476 000 12 500 610        13 351 000 13 812 000 14 304 211
                       2 HH in formal dwelling                                      5 794 386   6 832 119     6 624 273     7 957 934                 7 680 422     8 104 419   8 439 420     8 699 037     8 553 264   9 163 286     8 812 930     9 930 411 10 429 985 10 999 775
                                                                                       64.0%        73.8%        71.3%         73.9%                     68.5%         75.7%        76.0%        76.0%         72.7%        75.2%        70.5%         75.2%        76.2%        76.9%
                       3 HH not in formal dwelling                                  1 453 015   1 041 189       983 203     1 329 078                 1 836 232     1 433 710   1 451 752     1 392 177     1 895 488   1 806 360     1 816 995     1 882 467   1 845 438     1 919 900
                                                                                       16.0%       11.2%         10.6%         12.3%                     16.4%         13.4%       13.1%         12.2%         16.1%       14.8%         14.5%         14.3%       13.5%         13.4%
                       4 HH in traditional structures                               1 812 205   1 253 286     1 161 001     1 173 445                 1 689 051     1 169 603   1 209 710     1 358 260     1 320 013   1 220 622     1 461 601     1 385 112   1 416 655     1 384 536
                                                                                       20.0%       13.5%         12.5%         10.9%                     15.1%         10.9%       10.9%         11.8%         11.2%       10.0%         11.7%         10.5%       10.4%          9.7%

                         Table 2                        Housing units - Department of Human Settlements
                                                           1994/95      1995/96    1996/97    1997/98           1998/99       1999/00     2000/01       2001/02       2002/03     2003/04       2004/05       2005/06     2006/07       2007/08       2008/09     2009/10       2010/11
                       5 Planned units                     221 982      334 948       538 012     780 261       945 729     1 187 539   1 472 417     1 695 300     2 164 318   2 528 437     2 986 704     3 248 672   3 438 295     3 690 359     3 850 199   3 930 666     4 331 578
                         Subsidised Housing units
                       6 completed / in progress                        135 229       264 422     473 422       721 813       883 385   1 074 028     1 217 309     1 420 897   1 614 512     1 831 860     2 047 993   2 319 212     2 568 062     2 806 647   3 036 372     3 244 715
                       7 Approved beneficiaries             15 880       48 773       142 830     293 777       462 024       664 729     843 210       970 546     1 122 242   1 314 318     1 471 564     1 659 815   1 851 510     1 962 330     2 117 462   2 232 564     2 322 700


                         Table 3                        Housing units by province - Department of Human Settlements
                                                                       2004/05                                 2005/06                                 2006/07                                 2007/08                                 2008/09                                 2009/10                                 2010/11
                                                        Planned      Subsidised   Beneficiaries Planned      Subsidised   Beneficiaries Planned      Subsidised   Beneficiaries Planned      Subsidised   Beneficiaries Planned      Subsidised   Beneficiaries Planned      Subsidised   Beneficiaries Planned      Subsidised   Beneficiaries
                                                        units        units                      units        units                      units        units                      units        units                      units        units                      units        units                      units        units

                         Eastern Cape                       11 791       37 524        24 087        2 197       19 825        10 671        4 952       16 526         8 625      27 700        12 684         4 351      22 241        22 180        10 705      39 758        29 463        12 757      45 349        23 763        19 937
                         Free State                         15 993       16 447        18 028        8 877       20 536         9 932      15 614        19 662        13 307      28 129        12 482         5 855        8 458       14 667        28 252      22 395        20 184        16 171      27 066         5 136        19 145
                         Gauteng                           232 447       66 738        41 042     136 931        59 310        66 864      81 883        77 044        64 802      72 644        90 886        39 016      47 307        80 469        26 007      14 560        47 462        28 777      14 552        46 983          8 036
                         KwaZulu-Natal                      76 266       36 734        24 482      20 829        35 872        38 353      22 980        38 290        37 407      20 032        34 471        15 280      11 827        36 068        18 121      12 297        28 337        21 233      68 177        25 019        22 424
                         Limpopo                            18 793       16 514        14 248      24 771        10 112        14 885        2 768       23 609        14 543      17 435        18 970        10 170      21 888        16 686        12 306        1 606       23 082         4 038      27 639        17 981        12 983
                         Mpumalanga                          2 295       18 000         8 735        2 016       14 986         1 924      12 668        10 651        10 357        7 858       16 569         7 725        6 115       16 678         7 726        9 076        8 296         6 745      12 471        12 019          7 464
                         North West                          4 306        3 598         4 397        2 903        8 667         2 150        3 117        3 880         3 301        2 268        8 686         2 746        8 860        4 914         4 272        2 496        5 967         4 212        3 784        6 796          3 442
                         Northern Cape                      24 299       10 037         7 632      31 791        35 515        29 227      21 317        46 972        26 228      47 698        19 945        11 270      14 857        15 912        33 041        5 196       32 971        21 243        6 282       23 192        12 956
                         Western Cape                       72 077       11 756        14 595      31 653        11 310        14 245      24 324        34 585        13 125      28 300        34 157        14 407      18 287        31 011        14 702        9 722       33 015        17 225      23 345        24 536        13 577
                         Total                             458 267      217 348       157 246     261 968       216 133       188 251     189 623       271 219       191 695     252 064       248 850       110 820     159 840       238 585       155 132     117 106       228 777       132 401     228 665       185 425       119 964


 6 Data format           Numbers, Percentage
 7 Definition            Approved projects refer to housing projects that have been approved by province in a specific period, including social housing, the People's Housing Process (PHP) , rural, hostel development and emergency projects.
                         Planned units refer to the number of units that are planned for an approved project in the relevant period.
                         Approved beneficiaries refer to the numbers of beneficiaries in respect of whom subsidies have been approved for the relevant period. This includes individual subsidies,persons benefitting from rural housing and PHP
                         projects, hostels and emergency housing projects.
                         Subsidies housing units completed and housing units in progress include all top structures completed in the reporting period and sites serviced, number of houses at foundation level or wall plate level constructed on
                         already serviced sites. It also includes construction in greefields developments and in rural areas with services
 8 Data source           1,2,3,4) Household figures are based on Statistics South Africa's data (OHS 1997-1999, Census 1996 and 2001, GHS 2002-2010.
                         5,6) Housing Subsidy System (HSS), National Department of Human Settlements.
                         7) Provincial housing plans from provincial human settlements departments, National Department of Human Settlements
 9 Data note             It takes between one and three years for a beneficiary who has been approved to receive housing, to actually receive such housing. It would be inaccurate to draw a direct correspondence between planned units and
                         housing units completed (and in progress) in the same year. Housing delivery in the first five years of democracy varied greatly from year to year and from province to province as different systems of reporting and
                         monitoring had to be unified. It is also important to note that no government elsewhere in the world provides free houses.The difference in household figures is due to the different methodologies used by the
                         departments where data is sourced vis a vis the various surveys conducted by Statistics SA.




DRAFT                                                                                                                                                      Page 28 of 83
 1   Indicator        29 Potable water
 2   Category            Basic services
 3   Goal                All people in South Africa to have access to potable water by 2014
 4   Trend analysis      Currently, almost 95% of South African households have access to water infrastructure equal to RDP standards (a minimum of 25 litres of potable water per person per day within 200 meters of a household), which is well
                         above the Millennium Development Goal standards. However, there are some challenges in few instances whereby access to water infrastructure does not necessarily translate to citizens receiving the actual service in terms of
                         clean drinking water. There are measures in place to improve both water quality and the quality of service rendered.




 5 Data
                         Table 1                            Households with access to potable water
                                                                          1993/94      1994/95    1995/96    1996/97    1997/98    1998/99    1999/00    2000/01    2001/02    2002/03    2003/04    2004/05    2005/06    2006/07    2007/08    2008/09                                                                          2009/10       2010/11
                       1 Total number of Households (HH)                 10 150 478 10 347 884 10 550 871 10 759 617 10 974 185 11 194 976 11 422 150 11 656 059 11 950 115 12 139 159 12 396 707 12 656 163 12 802 423 12,879,070 13,028,214 13,104,966                                                                       13,283,883    13,362,020
                       2 HH with access to water infrastructure > or =    6 259 251  6 400 836  6 581 793  6 913 681  7 225 881  7 697 049  8 109 273  8 581 234  9 339 949  9 262 480  9 894 367 10 469 361 10 840 743 11 229 758 11 691 203 12,035,814                                                                       12,466,544    12,626,818
                         to RDP standards                                     61.7%           61.9%           62.4%           64.3%           65.8%       68.8%         71.0%           73.6%           78.2%           76.3%           79.8%       82.7%         84.7%           87.2%           89.7%           91.8%             93.8%        94.5%
                       3 HH with access to infrastructure                  6 535 594       6 860 293       7 227 909       7 722 933      8 218 318    8 848 764     9 452 139 10 118 558 10 750 126 11 006 387 11 393 346 11 812 819 12 037 247 12 232 156 12 470 663 12,640,515                                              12,923,825    13,052,014
                                                                              64.4%           66.3%           68.5%           71.8%          74.9%        79.0%         82.8%      86.8%      90.0%      90.7%      91.9%      93.3%      94.0%      95.0%      95.7%      96.5%                                                   97.3%         97.7%
                       4 HH with access to water infrastructure <            276 343         459 457         646 116         809 252        992 437    1 151 715     1 342 866  1 537 324  1 410 177  1 743 907  1 498 979  1 343 458  1 196 504  1,002,398    779,460    604,701                                                 457,292       425,196
                         RDP standards                                          2.7%            4.4%            6.1%            7.5%           9.0%       10.3%         11.8%           13.2%           11.8%           14.4%           12.1%       10.6%           9.3%            7.8%            6.0%            4.6%             3.4%         3.2%
                       5 HH with no access to water infrastructure         3 614 884       3 487 591       3 322 962       3 036 684      2 755 867    2 346 212     1 970 011       1 537 501       1 199 989       1 132 772      1 003 361      843 344       765 176         646 914         557 551         464 451          360 058       310,018
                                                                              35.6%           33.7%           31.5%           28.2%          25.1%        21.0%         17.2%           13.2%           10.0%            9.3%           8.1%         6.7%          6.0%             5.0%            4.3%            3.5%             2.7%         2.3%
                       6 Millennium Development Goal (MDG)                 8 204 865       8 364 432       8 528 511       8 697 246      8 870 686    9 049 156     9 232 786       9 421 860       9 659 552       9 812 361 10 020 543 10 230 267 10 348 493 10 410 448 10 531 005 10 593 045                               10 737 668    10,800,828
                       7 HH with access to Free Basic Water                                                                                                                                          7 042 178       7 224 578  8 868 007  8 944 630  9 542 104 10 862 205 10 933 395 11 155 208                               11 284 326    11,284,326


                         Table 2                            Households with access to potable water by province
                                                                                                 2007/08                                                                                   2008/09                                                                                    2009/10                                                                                      2010/11
                                                            Total        HH with         HH with         HH with         HH with no      HH with      Total        HH with         HH with         HH with         HH with no      HH with      Total        HH with         HH with         HH with         HH with no      HH with        Total         HH with         HH with         HH with         HH with no      HH with
                                                            number of    access to       access to       access to       access to       access to    number of    access to       access to       access to       access to       access to    number of    access to       access to       access to       access to       access to      number of     access to       access to       access to       access to       access to
                                                            Households   water           infrastructur   water           water           Free Basic   Households   water           infrastructur   water           water           Free Basic   Households   water           infrastructur   water           water           Free Basic     Households    water           infrastructur   water           water           Free Basic
                                                            (HH)         infrastructur   e < RDP         infrastructur   infrastructur   Water        (HH)         infrastructur   e               infrastructur   infrastructur   Water        (HH)         infrastructur   e               infrastructur   infrastructur   Water          (HH)          infrastructur   e               infrastructur   infrastructur   Water
                                                                         e > or = to     standards       e < RDP         e                                         e > or = to                     e < RDP         e                                         e > or = to                     e < RDP         e                                            e > or = to                     e < RDP         e
                                                                         RDP                             standards                                                 RDP                             standards                                                 RDP                             standards                                                    RDP                             standards
                                                                         standards                                                                                 standards                                                                                 standards                                                                                    standards


                         Province
                         Eastern Cape                        1,601,199     1,346,486       1,438,973          92,487         162,226      1,147,413    1,610,463     1,403,510       1,475,085          70,788         135,378      1,179,973    1,511,419     1,366,095       1,414,890          48,832          96,529        1,208,348     1,521,329      1,396,717       1,430,977          34,260          90,321      1,208,348

                         Free State                            795,900       784,565         793,803            9,238           2,097       731,147      800,681       798,424         800,241            1,809             440       738,181      810,141       810,141         810,141                0               0         743,709       810,143        810,143         810,143                0               0       743,709

                         Gauteng                             3,388,989     3,279,188       3,364,621          85,433          24,368      2,941,164    3,409,315     3,349,160       3,399,693          50,495            9,622     2,988,084    3,787,327     3,749,742       3,781,167          31,430            6,160       3,008,932     3,876,740      3,846,480       3,871,757          25,277           4,980      3,008,932

                         KwaZulu-Natal                       2,454,606     2,005,882       2,234,619         228,737         219,987      1,989,265    2,468,422     2,072,614       2,272,428         197,755         195,994      2,020,682    2,417,006     2,091,375       2,253,826         162,416         163,180        2,053,053     2,436,517      2,135,170       2,303,170         168,000         133,444      2,053,053

                         Limpopo                             1,259,743     1,007,911       1,194,617         186,706          65,126      1,006,221    1,267,240     1,049,150       1,212,265         163,020          54,975      1,018,076    1,174,278     1,007,153       1,133,207         126,051          41,071        1,027,964     1,183,997      1,035,032       1,144,145         109,113          39,864      1,027,964

                         Mpumalanga                            904,383       795,372         873,463          78,091          30,920        796,908      909,813       821,658         884,588          62,880          25,225        821,875      900,757       834,907         881,917          46,995          18,840          835,298       905,617        844,388         889,951          45,563          15,673        835,298

                         North West                            925,893       827,708         884,883          57,175          41,010        755,159      931,411       852,993         896,148          42,995          35,263        771,503      909,748       851,712         880,988          29,291          28,760          777,071       851,557        799,071         831,032          31,961          20,464        777,071

                         Northern Cape                         265,365       245,921         259,275          13,354            6,090       240,578      266,917       250,848         262,116          11,258            4,801       251,104      271,739       258,676         268,015            9,345           3,724         253,357       272,639        260,518         269,023           8,505           3,614        253,357

                         Western Cape                        1,432,136     1,398,170       1,426,409          28,239            5,727     1,325,540    1,440,704     1,434,145       1,437,951            3,701           2,753     1,365,730    1,501,468     1,496,743       1,499,674            2,932           1,794       1,376,594     1,503,481      1,499,299       1,501,816           2,517           1,658      1,376,594

                         Total                              13 028 214 11 691 203 12 470 663                 779 460         557 551 10,933,395 13 104 966 12 032 502 12 640 515                       604 701         464 451 11 155 208 13 283 883 12 466 544 12 923 825                       457 292         360 058       11 284 326    13 362 020    12 626 818      13 052 014          425 196         310 018     11 284 326


 7 Data format           Table 1 & 2: Date stamp - end of March each year, cumulative numbers
 8 Definition            The relevant basic service levels (RDP service levels) are defined as a minimum quantity of 25 liters of potable water per person per day within 200 meters of a household not interrupted for more than seven days in any year
                         and a minimum flow of 10 liters per year for communal water points. This is a substantially higher standard than the basic services defined by the Millennium Development Goals (MDGs) as 20 litres of potable water per person
                         per day within 1 000 metres of a household. MDG goal (Target 10): Halve between 1990 and 2015 the proportion of people without sustainable access to an improved water source.

 9 Data source           1) Census 1991, 1996, 2001, Department of Water Affairs internal processes
                         2,3) Census 1991, 1996, 2001, Department of Water Affairs internal processes, Department of Cooperative Governance and Traditional Affairs Municipal Infrastructure Grant (MIG)
                         4,5,6) Calculation Department of Water Affairs
                         7) Census 1991, 1996, 2001, Department of Water Affairs internal processes, Department of Cooperative Governance and Traditional Affairs SNUs
10 Data note             The difference in household figures is due to the different methodologies used by the departments where data is sourced vis a vis the various surveys conducted by Statistics SA.




DRAFT                                                                                                                                                                                                Page 29 of 83
 1   Indicator        30 Sanitation
 2   Category            Basic services
 3   Goal                All people in South Africa to have access to sanitation facilities by 2014
 4   Trend analysis      The 2% increase in sanitation from the previous financial year is a slight improvement that would require some acceleration. It can however be anticipated that delivery will also start slowing down in future
                         specifically in areas where waterborne systems are to be implemented due to dependencies such as the availability of bulk infrastructure and bulk capacity. Although there has been a decrease in the historical
                         backlog of bucket systems still in use, it should be noted that new bucket systems are being installed as an interim measure in some municipal areas due to rapid increases in household numbers, while town
                         planning processes are underway.

 5 Data
                         Table 1          Households with access to sanitation
                                                       1993/94       1994/95   1995/96   1996/97    1997/98    1998/99    1999/00    2000/01    2001/02    2002/03    2003/04    2004/05    2005/06    2006/07    2007/08    2008/09    2009/10                                                                                   2010/11
                       1 Number of                   10 150 478 10 347 884 10 550 871 10 759 617 10 974 185 11 194 976 11 422 150 11 656 059 11 950 115 12 139 159 12 396 707 12 656 163 12 802 423 12 877 821 13 028 214 13 104 966 13 283 883                                                                                13 362 020
                         households
                       2 HH with access                 5 065 626    5 268 320     5 439 152    5 720 997    5 966 326       6 295 492    6 582 297    6 905 086       7 468 555    7 786 436    8 197 075      8 742 015        9 057 241        9 353 126      9 716 651 10 102 704 10 617 731                               10 956 877
                         to sanitation                     49.9%        50.9%         51.6%        53.2%        54.4%           56.2%        57.6%        59.2%           62.5%        64.1%        66.1%          69.1%            70.7%            72.6%          74.6%      77.1%      79.9%                                    82.0%
                       3 Millennium Development Goal    7 608 052    7 756 013     7 908 157    8 064 618    8 225 442       8 390 931    8 561 204    8 736 525       8 956 928    9 098 621    9 291 660      9 486 129        9 595 755        9 652 268      9 764 991 9 822 519 9 956 622                                 10 015 188
                         (MDG)
                       4 HH with bucket                  609 675       608 738       605 494     575 594       555 932         516 858     490 021       456 752         413 481     441 693       439 778       231 040           211 508         113 085           23 083                  9 044             8 421               7 996
                         systems


                         Table 2          Households with access to sanitation by province
                                           2007/08                                2008/09                                   2009/10                                   2010/11
                                          Number of HH with         HH with       Number of HH with         HH with         Number of HH with         HH with         Number of HH with         HH with                    16 004 000
                                          households access to      bucket        households access to      bucket          households access to      bucket          households access to      bucket
                                                     sanitation     systems                  sanitation     systems                    sanitation     systems                    sanitation     systems                    14 003 500
                                                                                                                                                                                                                           12 003 000
                         Province
                                                                                                                                                                                                                           10 002 500
                         Eastern Cape       1 601 199   1 086 451        1 812     1 610 463    1 170 954             438    1 511 419    1 173 672             363    1 521 329    1 233 027             190
                                                                                                                                                                                                                            8 002 000




                                                                                                                                                                                                                  number
                         Free State           795 900    530 383        19 604       800 681     548 654         7 279         810 141     564 389         6 945         810 143     573 496         7 179
                                                                                                                                                                                                                            6 001 500
                         Gauteng            3 388 989   2 963 371             0    3 409 315    3 001 410               0    3 787 327    3 349 750               0    3 876 740    3 470 679               0
                                                                                                                                                                                                                            4 001 000
                         KwaZulu-Natal      2 454 606   1 850 361             0    2 468 422    1 942 249               0    2 417 006    1 975 853               0    2 436 517    2 088 037               0
                                            1 259 743    593 962              0    1 267 240     663 705                0    1 174 278     672 862                0    1 183 997     719 738                0               2 000 500
                         Limpopo
                                              904 383    544 782              0      909 813     574 411                0      900 757     591 170                0      905 617     609 451                0                      0
                         Mpumalanga




                                                                                                                                                                                                                                        1994/95




                                                                                                                                                                                                                                                      1996/97




                                                                                                                                                                                                                                                                     1998/99




                                                                                                                                                                                                                                                                                   2000/01




                                                                                                                                                                                                                                                                                                     2002/03




                                                                                                                                                                                                                                                                                                                     2004/05




                                                                                                                                                                                                                                                                                                                                      2006/07




                                                                                                                                                                                                                                                                                                                                                2008/09




                                                                                                                                                                                                                                                                                                                                                          2010/11
                         North West           925 893    601 465              0      931 411     635 015                0      909 748     653 146                0      851 557     614 991                0

                         Northern Cape        265 365    206 389         1 667       266 917     212 361         1 327         271 739     220 857         1 113         272 639     224 744              627

                         Western Cape       1 432 136   1 339 487             0    1 440 704    1 353 945               0    1 501 468    1 416 032               0    1 503 481    1 422 714               0                                                   Number of households                             HH with access to sanitation

                         Total             13 028 214   9 716 651       23 083 13 104 966 10 102 704             9 044 13 283 883 10 617 731               8 421 13 362 020 10 956 877               7 996


 7 Data format           Table 1 & 2: Date stamp - end of March each year, cumulative numbers
 8 Definition            A basic acceptable sanitation facility is defined as a ventilated improved pit latrin Millennium Development Goal (Target 10): Halve by 2015 the proprtion of people without sustainable access to improved
                         sanitation.
 9 Data source           1) Census 1991, 1996, 2001, Department of Water Affairs internal processes
                         2) Census 1991, 1996, 2001, Department of Water Affairs internal processes, Department of Cooperative Governance and Traditional Affairs Municipal Infrastructure Grant (MIG)
                         3) Calculation Department of Water Affairs
                         4) Census 1991, 1996, 2001, Department of Water Affairs, Department of Cooperative Governance and Traditional Affairs Municipal Infrastructure Grant (MIG) SNUs
10 Data note             Table 1 & 2: Date stamp - end of March each year, cumulative numbers




DRAFT                                                                                                                                                 Page 30 of 83
 1   Indicator        31 Proportion of households with access to electricity
 2   Category            Basic services
 3   Goal                Universal access to electricity by 2014
 4   Trend analysis      The provision of electricity connections to poor households through the INEP programme has been a key driver of household electrification. In 1994 only 50.9 percent of households were electrified, and rapid delivery through government subsidies in the INEP programme
                         ensured that over the next 16 years 75.8 percent of households were electrified. This represents an average annual growth of 5% percent in comparison to a household average annual growth of 2.5%. The number of households with no electricity still remains high at over three
                         million. Over the last three years, the number of electricity connection to households increased from 138 436 in 2008/09 to 204 979 in 2010/11. The province with the lowest number of electricity connections remains the Eastern Cape at 62.8%. The province with the the
                         highest is the Western Cape, at 85.2%.


 5 Data
                         Table 1             Households with access to electricity
                                                1994/95        1995/96              1996/97          1997/98           1998/99       1999/00            2000/01               2001/02      2002/03        2003/04          2004/05               2005/06       2006/07         2007/08         2008/09               2009/10          2010/11
                       1 Total number of
                         households           8 802 000     9 059 571              9 258 000     9 288 000          11 077 100     11 098 642         11 320 614   11 205 705           11 429 819    11 658 236         11 891 395       12 129 192        12 317 505       12 495 077      12 675 275            12 860 165   13 068 953
                       2 HH with access to
                         electricity          4 477 400     4 900 694              5 544 968     5 801 242           6 774 207      6 777 997          7 735 748       7 841 000         7 959 862      8 391 031         8 610 706             8 714 221    8 819 835        9,106,921       9,245,357             9,419,466    9,624,445
                                                               423 294              644 274          256 274           972 965          3 790           957 751               105 252      118 862        431 169          219 675               103 515       105 614         287 086         138 436               174 109          204 979
                         %                        50.9%         54.1%                 59.9%                62.5%        61.2%          61.1%              68.3%                70.0%         69.6%          72.0%            72.4%                 71.8%             72.0%       73.0%           74.5%                 74.9%               75.8%
                       3 HH with no access
                         to electricity
                                               4 324 600    4 158 877              3 713 032     3 486 758           4 302 893      4 320 645          3 584 866        3 364 705        3 469 957      3 267 205         3 280 689             3 414 971    3 497 670        3,388,156       3,429,918             3,440,699    3,444,508
                       4 New electrical
                         connections(cumul
                         ative)                 478 767        932 762             1 432 073     1 859 499           2 302 789      2 699 808          3 036 726       3,375,298         3,654,060      3,902,511         4,144,214             4,330,047    4,452,758        4,748,228       4,930,101             5,097,423    5,300,250


                         Table 2             Households with Access to Electricity by province
                                                                    2005/06                                                                 2006/07                                                            2007/08                                                                2008/09                                                               2009/10                                                             2010/11
                                               Total        HH with                               New                 Total         HH with                           New                 Total        HH with                           New                  Total           HH with                            New              Total             HH with                          New          Total                HH with                           New
                                             number of     access to        %                   electrical          number of      access to        %               electrical          number of     access to        %               electrical           number of        access to        %                electrical       number of          access to        %              electrical   number of             access to         %              electrical
                                             households    electricity                         connections          households     electricity                     connections          households    electricity                     connections           households       electricity                      connections       households         electricity                    connections   households            electricity                     connections

                         Eastern Cape         1 603 724        896 266                55.9%           776 458        1 624 652        918 574             56.5%               800 125    1 645 887        972 193            59.1%               853 927     1 667 435          998 014          59.9%               883 226     1 683 420          1 035 827      61.5%             920 129          1 733 946        1 089 453        62.8%             965 724
                         Free State             793 731        592 421                74.6%           327 879          803 671        596 626             74.2%               334 463      813 751        613 117            75.3%               351 146        823 972         622 053          75.5%               361 554           834 337        634 712      76.1%             374 213               844 848       648 319        76.7%             387 820
                         Gauteng               2 960 843    2 311 111                 78.1%           509 097        3 015 504      2 319 953             76.9%               521 123    3 071 214      2 356 019            76.7%               557 226     3 127 991        2 387 422          76.3%               588 629     3 185 858          2 406 104      75.5%             607 311              3 308 923    2 462 254        74.4%             625 408
                         KwaZulu-Natal         2 291 787    1 455 236                 63.5%           679 014        2 337 623      1 488 420             63.7%               715 309    2 371 125      1 557 810            65.7%               626 721     2 405 165        1 586 457          66.0%               813 664     2 439 751          1 623 397      66.5%             850 605              2 474 894    1 647 175        66.6%             874 383
                         Limpopo               1 211 137       846 277                69.9%           717 024        1 224 726        864 869             70.6%               737 981    1 238 481        898 418            70.0%               666 996     1 250 716          921 276          73.7%               802 785     1 264 792            942 620      74.5%             824 129              1 279 040      982 162        76.8%             863 671
                         Mpumalanga             849 598        617 359                72.7%           408 950          859 304        622 041             72.4%               415 534      869 132        646 377            70.0%               691 340        879 082         647 597          73.7%               452 394           889 958        662 479      74.4%             467 276               900 167       678 982        75.4%             483 780
                         Northern Cape          263 298        207 324                78.7%                96 996      266 475        210 852             79.1%               100 796      269 695        220 320            80.0%               701 219        272 958         222 553          81.5%               113 922           276 265        226 471      82.0%             117 840               279 616       232 045        83.0%             123 415
                         North West             885 088        684 426                77.3%           546 747          894 639        689 065             77.0%               553 056      903 585        710 811            78.7%               723 687        914 070         717 465          78.5%               584 671           923 954        728 152      78.8%             595 357               869 105       709 767        81.7%             615 025
                         Western Cape          1 269 986    1 103 790                 86.9%           286 031        1 290 910      1 109 435             85.9%               293 815    1 312 208      1 131 856            86.3%               746 108     1 333 886        1 142 520          85.7%               329 256     1 355 952          1 153 827      85.1%             340 563              1 378 414    1 174 289        85.2%             361 024


                                                                                   HOUSEHOLDS WITH ACCESS TO ELECTRICITY


                                                 12 003 000
                                                 10 002 500
                                                  8 002 000
                               number




                                                  6 001 500
                                                  4 001 000
                                              2 000 end
                         Table 1 & 2: Date stamp - 500 of March each year, cumulative numbers
                                                           0
                                                                         1994/95




                                                                                                 1995/96




                                                                                                                         1996/97




                                                                                                                                            1997/98




                                                                                                                                                                    1998/99




                                                                                                                                                                                            1999/00




                                                                                                                                                                                                               2000/01




                                                                                                                                                                                                                                      2001/02




                                                                                                                                                                                                                                                               2002/03




                                                                                                                                                                                                                                                                                   2003/04




                                                                                                                                                                                                                                                                                                         2004/05




                                                                                                                                                                                                                                                                                                                                 2005/06




                                                                                                                                                                                                                                                                                                                                                        2006/07




                                                                                                                                                                                                                                                                                                                                                                        2007/08




                                                                                                                                                                                                                                                                                                                                                                                                2008/09




                                                                                                                                                                                                                                                                                                                                                                                                                        2009/10




                                                                                                                                                                                                                                                                                                                                                                                                                                            2010/11
                                                                                                                                                                                          Total number of households                                                           HH with access to electricity



 7 Data format           Number, Percentage
 8 Definition            Number of households connected to grid electricity through Eskom and municipalities. Household figures based on Department of Energy's projection using census data.

 9 Data source           1-4) National Electricity Regulator of South Africa; Statistics South Africa, Department of Energy
10 Data note             The difference in household figures is due to the different methodologies used by the departments where data is sourced vis a vis the various surveys conducted by Statistics SA.
                         The backlog figures has also considered growth (in informal settlements and low cost housing), for an example Gauteng Province look less in terms of access to electricity because of growth (in informal settlement).




DRAFT                                                                                                                                                                                                       Page 31 of 83
 1   Indicator        32 Land restitution
 2   Category            Assets
 3   Goal                Complete processing restitution claims
 4   Trend Analysis      Access to productive land can be a catalyst for poverty alleviation, food security and job creation. Cumulative trends on Land Restitution suggest a slow progression since 1994/95 with acceleration from 2000 to 2005/6 and levelling off since then to date. The more
                         complex the nature of the claim, the longer it takes to resolve, but this remains an unresolved question given that it took 17 years since 1994 to settle the claims under the restitution programme. Some sources suggest minimum utilisation of the land post-
                         settlement. This, coupled with absentee ownership, poses a major challenge. These challenges are some of the concerns that the Green Paper on Land Reform intends to address.


 5 Data                  Table 1          Land restitution cumulatives trends
                                                    1994/95               1995/96                1996/97               1997/98                   1998/99                  1999/00              2000/01                 2001/02            2002/03                    2003/04                2004/05      2005/06   2006/07   2007/08   2008/09   2009/10   2010/11
                         Cumulative
                         Settled claims                          0               1                             3              208                    408                    3,916                  12,094               29,877               36,488                   48,825                    59,345    71,645    74,417    74,747    75,400    75,844    76,229


                         Table 2          Provincial breakdown of cumulative statistics on settled restitution claims 1995-2010/2011
                                                                                                                                                                                                                      GRANTS IN RANDS
                                                    Claims                     HHs       Beneficiaries                        Ha              Land Costs           Financial             Development                     RDG                         SPG               RSG                    TOTAL
                                                                                                                                                              Compensation
                         Eastern Cape                16,254              59,857                   217,429             129,075     67,250,053                   1,251,755,441                315,382,295        85,509,000               40,963,680           50,972,735              1,811,833,204
                         Free State                   2,672               6,089                    41,635              51,452      9,428,300                     136,729,388                 29,422,438         9,192,000                4,412,160            3,370,045                192,554,331
                         Gauteng                     13,161              14,030                    65,715              16,378    110,388,341                     636,745,399                 76,215,311         6,663,000                2,197,440            4,161,445                836,370,936
                         KwaZulu-Natal               15,075              77,019                   456,515             671,111  4,108,911,380                   1,508,600,139              1,111,455,649       107,313,000               48,345,840           50,708,660              6,941,701,668
                         Limpopo                      3,326              43,667                   227,128             548,044  2,882,622,171                     198,262,990                608,479,429        90,843,000               41,427,360           23,346,300              3,844,981,249
                         Mpumalanga                   2,779              48,801                   226,527             414,720  3,956,255,087                     368,857,823                229,160,163       102,872,640               49,559,790           23,379,275              4,730,084,777
                         North West                   3,707              19,669                   104,237             559,634    443,263,841                     742,086,528                163,669,154        16,118,890               12,320,615           13,124,050              1,390,583,078
                         Northern Cape                3,718              37,483                   176,058             374,731  1,370,053,960                     280,477,995                397,616,159        83,631,000               39,881,400           34,099,325              2,205,759,839
                         Western Cape                15,537              25,280                   123,695               3,837     46,526,069                     839,755,587                330,404,575        15,765,540                3,431,772            2,163,160              1,238,093,702
                         TOTAL                      76,229             331,895                 1,638,939           2,768,982 12,994,699,201                   5,963,271,290              3,261,805,172       517,908,070              242,540,057          205,324,995              23,191,962,785




                               CUMULATIVE CLAIMS SETLTLED

                             84 000

                             73 500

                             63 000

                             52 500

                             42 000

                             31 500

                             21 000

                             10 500
                                          1994/95




                                                       1995/96



                                                                     1996/97




                                                                                     1997/98




                                                                                                     1998/99



                                                                                                                    1999/00




                                                                                                                                    2000/01




                                                                                                                                                    2001/02



                                                                                                                                                                2002/03




                                                                                                                                                                               2003/04




                                                                                                                                                                                               2004/05




                                                                                                                                                                                                            2005/06




                                                                                                                                                                                                                            2006/07




                                                                                                                                                                                                                                           2007/08



                                                                                                                                                                                                                                                           2008/09




                                                                                                                                                                                                                                                                          2009/10



                                                                                                                                                                                                                                                                                          2010/11
 7 Data format           Cumulative numbers
 8 Definition            Number of land restitution claims settled; Development grant is where claimants have opted to become part of a housing development building of clinic or an electrification project or any infrastructure development; Restitution Discretionary Grant
                         (RDG) is R3 000 per restitution beneficiary household where restoration of original land or alternative land was opted for; Settlement Planning Grant (SPG) is R1 440 per restitution beneficiary household used to enlist the services of planners and
                         other professionals; Restitution Settlement Grant (RSG) is this grant replaces the RDG and SPGs and is calculated at R6 595 per restitution beneficiary household; Financial Compensation - where claimants have opted for monetary compensation
                         and not restoration of original or alternative land.
 9 Data source           Department of Rural Development and Land Reform
10 Data Note             Statistics compiled on the information reflected in the Database of Settled Restitution claims the database is on an ongoing basis subjected to internal audit




DRAFT                                                                                                                                                                                                    Page 32 of 83
 1   Indicator        33 Land redistribution
 2   Category            Assets
 3   Goal                The redistribution of 30 per cent of the country's agricultural land over 15 years
 4   Trend Analysis      Given government's target to transfer 30% of disposed land to black families and communities by 2014, the 3 447 505 (40%) hectares of land acquired and redistributed to date is an under-achievement and should be a
                         matter of public concern. To some extent poor performance is indicative of the complexity of land reform programmes, not only in South Africa, but also in other countries. Countries that succeeded have coupled access with
                         market-based partnership models; stringent beneficiary/user selection criteria and incentivised successes. Some of these lessons are being addressed through the Green Paper on Land Reform.


 5 Data                  Table                  Land redistribution-hectares delivered
                                                                                                                                           2000
                                                   1994            1995           1996            1997          1998          1999       (Jan-Mar)       2000/01      2001/02      2002/03      2003/04     2004/05      2005/06       2006/07       2007/08     2008/09          2009/10       2010/11
                         Annual Target                                                                                                                                  214,228      193,504     130,810     262,751      236,268      2,500,000     2,500,000   1,500,000        656,000     283,592
                         Distributed hectares
                         per year                      16,009          10,336      44,410         108,146       141,249        174,616      28,928        111,560       344,435      279,838     176,871     214,998      197,891       241,526       345,442       443,600       240,156       327,494
                         Cumulative                    16,009          26,345      70,755         178,901       320,150        494,766     523,693        635,254       979,689    1,259,527    1,436,398   1,651,396    1,849,287     2,090,814     2,436,255   2,879,856    3,120,011      3,447,505


                         Table                  Land redistribution-hectares delivered by province
                                                                                                                                               2000
                                                        1994            1995            1996           1997           1998        1999    (Jan-Mar)       2000/01       2001/02       2002/03     2003/04     2004/05      2005/06       2006/07       2007/08      2008/09       2009/10       2010/11         Total
                         Eastern Cape                       -               -           5,210          4,037          9,443     13,840        7,452          6,739       11,602        43,185      43,267      38,302       26,516        34,097        27,535       47,523        40,589        40,899    400,236
                         Free State                         -               -           6,905      12,935         36,822        25,055        1,087          1,182       13,518        35,686      19,032      26,758       24,452        23,862        33,674       64,242        30,702        10,404    366,316
                         Gauteng                            -               -               -            84            211       1,967        1,208          1,329            70          833       2,680       1,349        2,017         8,905         9,941        2,555         1,818         3,152        38,119
                         KwaZulu-Natal                 16,009          10,336          19,468          6,557      18,786        15,031        8,918         12,320      152,843        25,119      27,718      36,269       41,945        28,391        33,735       65,539        43,582        25,603    588,169
                         Limpopo                            -               -             71           2,734          7,036      2,616        1,173          9,812        7,050         5,244       3,448       2,392        3,758         8,128        11,082       14,601        15,230         6,499    100,874
                         Mpumalanga                         -               -          12,417          6,637          4,522      3,250        4,522         21,017       30,048        58,761      19,758      19,212        6,162        11,566        49,214       52,273        29,081        37,561    366,001
                         North West                         -               -               -      72,795         57,768        90,561        4,479         54,968      113,358        66,567      27,770      57,180       62,334        81,947       107,451      125,363        57,809        24,669   1,005,019
                         Northern Cape                      -               -            338           2,219          3,973      8,560           82          2,919        8,665        33,514      21,283      26,053       27,088        34,915        42,252       52,868        13,037       165,249    443,015
                         Western Cape                       -               -               -            148          2,689     13,735               5       1,275        7,282        10,930      11,915       7,482        3,619         9,715        30,558       18,637         8,309        13,457    139,756
                         Total                         16,009          10,336          44,410     108,146        141,249       174,616       28,928       111,560       344,435       279,838     176,871     214,998      197,891       241,526       345,442      443,600       240,156       327,494   3,447,505




                                                                                                                                                     Land Redistribution - Hectars delivered



                                 2 500 000                                                                                                                                                                                                                                                  Target




                                 2 000 000



                                 1 500 000



                         Table 1 & 2:
                             1 000 000
                         Date stamp - end
                         of March each
                         year, cumulative
                               500 000
                         numbers
                                                                                                                                                                                                                 Distributed Hectars per year



                                                1994            1995            1996            1997           1998           1999         2000          2000/01       2001/02       2002/03      2003/04      2004/05       2005/06       2006/07        2007/08       2008/09       2009/10        2010/11
                                                                                                                                         (Jan-Mar)




 6 Data format           Hectares
 7 Definition            Hectares of land restored to previously disadvantaged individuals
 8 Data source           Department of Rural Development and Land Reform's Annual reports




DRAFT                                                                                                                                                Page 33 of 83
 1   Indicator        34 Life Expectancy (LE)
 2   Category            Poverty and inequality
 3   Goal                Build a healthy and prosperous nation indicated by higher life expectancy
 4   Trend analysis      There is a lack of consensus about the calculation of Life Expectancy. Both StasSA and ASSA life expectancy combined figures show a decline from 2001 to 2005
                         but started improving gradually from 2006 onwards. Improvement of life expectancy is one of the four strategic outputs of the health sector Negotiated Service
                         Delivery Agreement (NSDA). Strategies required to improve life expectancy extend beyond the health sector, and include intersectoral action to improve the social
                         determinants of health, including clean water; appropriate sanitation; and decent housing. Interventions to enhance life expectancy have focused on integrated
                         strategies to reduce maternal and child mortality and deaths, as well as other Communicable Diseases; and Non-Communicable Diseases.
 5 Data
                         Table                          Life Expectancy
                                                               2001           2002             2003            2004           2005          2006            2007          2008         2009         2010          2011
                       1 LE male StatsSA                        52.1          51.1             50.3            49.8           49.6           50.1            50.9         52.1          54.0        54.3          54.9
                       2 LE female StatsSA                      57.8          56.4             55.2            54.4           53.8           54.2            54.9         56.1          59.0        58.5          59.1
                       3 LE combined StatsSA                    55.1          53.9             52.9            52.2           51.8           52.3            53.0         54.1          56.5        56.5          57.1
                       4 LE male ASSA                           54.5          53.5             52.6            51.8           51.5           51.5            51.7         52.5          53.7        54.6          55.0
                       5 LE female ASSA                         61.2          59.9             58.6            57.6           57.2           57.4            58.0         59.0          60.3        61.2          61.6
                       6 LE combined ASSA                       57.8          56.7             55.6            54.7           54.3           54.5            54.8         55.7          57.0        57.9          58.3


                         Table                          Average LE for 2001-2006 and 2006-2011 periods by province
                                                                    Male                          Female
                                                        2001-2006      2006-2011     2001-2006        2006-2011
                         Eastern Cape                       49.1           50.2            54.2             54.4
                         Free State                         43.7           44.6            47.9             47.9
                         Gauteng                            54.3           55.4            58.9             59.1
                         KwaZulu-Natal                      47.4           48.4            51.6             52.8
                         Limpopo                            54.5           55.8            61.5             61.4
                         Mpumalanga                         49.4           50.2            53.1             52.8
                         Northern Cape                      52.9           54.1            56.7             57.4
                         North West                         49.0           50.4            53.3             53.2
                         Western Cape                       57.6           59.9            63.9             65.8
                       5 South Africa                       50.6           52.1            55.5             56.2


 6 Graph
                                            LIFE EXPECTANCY
                                         60.0

                                         58.0

                                         56.0
                                 Years




                                         54.0

                                         52.0

                                         50.0

                                         48.0
                                                 2001              2002            2003               2004             2005               2006             2007           2008            2009             2010          2011



                                                                                          LE male StatsSA             LE female StatsSA             LE combined StatsSA          LE combined ASSA



 7 Data format           Index
 8 Definition            Life expectancy: The number of years a new-born infant would live if prevailing patterns of age-specific mortality rates at the time of birth were to stay the same
                         throughout the child's life
 9 Data source           1,2,3, 5) Life Expectancy Statistics South Africa's calculations, 2010
                         4) Life Expectancy: Actuarial Society of South Africa (ASSA) 2008 model
10 Data Note             Results for the ASSA 2008 model were derived from the beta version of the model (dated 100809) and thus may be subject to change when the final version is
                         released in a few weeks time




DRAFT                                                                                                                                     Page 34 of 83
 1   Indicator        35 Infant and child mortality rate
 2   Category            Health
 3   Goal                To reduce infant (under one year) and child (under five years) morbidity and mortality.
 4   Trend analysis      Different sources in South Africa, suggest a rise in infant and child mortality to 2004 and a steady decline thereafter. However, the nature of this data does not
                         allow for definite conclusions. Additional efforts to strengthen routine immunisation and provision of Vitamin A supplementation, introduction of the rota-virus
                         and pneumococcal vaccines and promoting exclusive breast-feeding suggests that the U5MR will decline by 10% between 2009 and 2014. South Africa is
                         faced with among others, three major killers of children under five years of age, namely HIV & AIDS, neonatal causes and childhood infections such as
                         pneumonia and diarrhoea. This poses a challenge in reducing infant mortality to the MDG target of 18 deaths per 1000 live births by 2015.

 5 Data
                         Table                                Infant (under one year) deaths per 1000 live births - Stats SA estimates
                                                                                                   2001       2002       2003       2004      2005   2006   2007   2008   2009   2010    2011
                         Black                                                                      56.7       56.4       55.7       54.6     53.1   49.5   47.6   44.3   42.6    41     39.6
                         Coloured                                                                   42.2       41.7       41.2       40.6     39.9   38.9   38.3    37    36.5   35.7    35.1
                         Asian                                                                      32.5       31.8       31.3       30.4     29.9   29.3   28.6   27.9   27.2   26.5    25.8
                         White                                                                      21.1       20.8       20.4       19.9     19.6   19.1   18.8   18.2   18.3   18.3    18.5
                       1 South Africa                                                               53.3       53.0       52.4       51.4     50.0   46.8   45.1   42.1   40.6   39.1    37.9


                         Table                                Infant and child deaths per 1000 live births - Estimates by other sources
                       2 Health Systems Trust
                                                                   1998       1999       2000      2001       2002       2003       2004      2005   2006   2007   2008   2009   2010    2011
                         Infant mortality (under one year)                                          28.8       33.1       36.5       38.1
                         Child mortality (under five years)                                         39.6       44.7       49.3       52.8
                       3 Medical Research Council

                         Infant mortality (under one year)           55         56         58         58         59         59           59
                         Child mortality (under five years)          81         86         91         96        100       104        106
                       4 ASSA 2002

                         Infant mortality (under one year)                                            63         60         58           55   52.3   50.5   48.6
                       5 ASSA 2003

                         Infant mortality (under one year)           57         59         60         60         58         56           52    49     48     46     45     43     43
                         Child mortality (under five years)          80         85         88         90         89         87           82    77     73     71     69     68     67
                       6 ASSA 2008

                         Infant mortality (under one year)                                            52         52         52           51    48     46     43     40     40     35      34
                         Child mortality (under five years)                                           73         74         75           74    71     67     64     59     56     50      49
                       7 Dept of Health

                         Infant mortality (under one year)           45                                                     43




 7 Data format           Rate
 8 Definition            The number of children less than one year old who die in a year per 1 000 live births during that year; the number of children under five years who die per 1
                         000 live births during that year
 9 Data source           1) Stats SA's calculations, 2009
                         2) Statistics South Africa Causes of Death 2004 as published by the Health Systems Trust
                         3) MRC calculations
                         4,5,6) Actuarial Society SA models, Health Advisory and Co-ordination Committee (HDACC)report November 2011
                         7) South African demographics and health surveys
10 Data Note             Note that Statistics South Africa calculations and ASSA model include the impact of anti-retroviral (ARV) treatment



DRAFT                                                                                                            Page 35 of 83
         1 Indicator                 36 Severe malnutrition under five years
         2 Category                     Health
         3 Goal                         To reduce infant and under-five child morbidity and mortality.
         4 Trend analysis               The trend shows a decrease in the number of children with a weight less than 60% of their estimated 'normal' weight for age. Nutritional status of children is most commonly measured in terms
                                        of body measurements (anthropometry). Underweight for age provides a good indication of current levels of under-nutrition while stunting, based on a low height for age is indicative of long-term
                                        and chronic malnutrition. The 2005 NFCS indicated that underweight in children <5 years of age was of the order of about 10% while stunting in this age group was about 21%.The MDG target is
                                        to reduce incidence of severe malnutrition in children under 5 years of age to 0.7 per 1000. Thanks in part to the child support grant, it is possible for South Africa to reach this target.

         5 Data
                                            Table                                                                             Severe Malnutrition under Five years - new ambulatory
                                                                                                                                                                          2001                          2002              2003                2004           2005            2006            2007     2008     2009           2010

                                            Severe malnutrition under five years                                               number                                             88 971               83 957          64 718            39 785            30 082           29 176          29 165   26 373   28 109     25 592



                                            Table                                                                             Malnutrition under five years old
                                            1994
                                                                                                                              HAZ<= -3     HAZ<=-2          HAZ<=-1         WAZ<=-3            WAZ<=-2           WAZ<=-1           WHZ<=-3            WHZ<=-2          WHZ<=-1
                                            Eastern Cape                                                                         8.40        28.80             na              2.20               11.40              na               0.60               3.20              na
                                            Free State                                                                           8.60        28.70             na              2.40               13.60              na               0.80               4.50              na
                                            Gauteng                                                                              2.20        11.50             na              0.60                5.60              na               0.00               1.20              na
                                            KwaZulu-Natal                                                                        3.50        14.60             na              0.20                4.20              na               0.10               0.70              na
                                            Limpopo                                                                             12.60        34.20             na              2.60               12.60              na               0.50               3.80              na
                                            Mpumalanga                                                                           6.00        20.40             na              1.00                7.30              na               0.40               1.70              na
                                            North West                                                                           7.10        24.70             na              1.60               13.20              na               0.60               4.50              na
                                            Northern Cape                                                                        5.90        22.80             na              1.10               15.60              na               0.10               2.50              na
                                            Western Cape                                                                         2.30        11.60             na              0.70                7.00              na               0.00               1.30              na
                                            South Africa                                                                         6.60        22.90             na              1.40                9.30              na               0.40               2.60              na


                                            1999
                                                                                                                              HAZ<= -3     HAZ<=-2          HAZ<=-1         WAZ<=-3            WAZ<=-2           WAZ<=-1           WHZ<=-3            WHZ<=-2          WHZ<=-1
                                            Eastern Cape                                                                         7.03        21.88            48.44             1.56               7.03              29.3             0.39               2.73              9.77
                                            Free State                                                                          13.51        35.81            66.22             1.35              16.89             53.38             2.03                2.7             17.57
                                            Gauteng                                                                              6.92        23.58            50.31             0.63              10.06             33.65               0                1.26             14.78
                                            KwaZulu-Natal                                                                        6.21         23.6             52.8             0.93               7.45             31.99             0.62               2.48             12.42
                                            Limpopo                                                                              6.47        24.14            55.17             1.72              15.09               50              1.72               8.62              30.6
                                            Mpumalanga                                                                           8.74        25.24            58.25             2.91               5.83             29.13               0                0.97             10.68
                                            North West                                                                           6.94        26.01             57.8             2.31              16.76             56.07             1.16               6.36             27.17
                                            Northern Cape                                                                       13.08        30.84            55.14             8.41              25.23             57.01              2.8               9.35             37.38
                                            Western Cape                                                                         2.69        14.35            34.98             0.9                8.07             33.63               0                 0.9             17.94
                                            South Africa                                                                        7.23         24.02            51.91            1.75               11.37             39.48             0.80               3.56            18.44


                                            2005
                                                                                                                              HAZ<= -3     HAZ<=-2          HAZ<=-1         WAZ<=-3            WAZ<=-2           WAZ<=-1           WHZ<=-3            WHZ<=-2          WHZ<=-1
                                            Eastern Cape                                                                          8.82        22.35            52.35                     0                 10          29.41              1.76               6.47           15.88
                                            Free State                                                                            8.42        34.74            66.32                  1.05              16.84          49.47                 0               3.16           18.95
                                            Gauteng                                                                               7.17         21.5             47.1                  0.68               8.19          36.52              1.02               4.44             19.8
                                            KwaZulu-Natal                                                                         3.29        17.28            53.91                  0.82               4.12          29.22                 0               1.65             4.94
                                            Limpopo                                                                               9.14        28.49            59.14                  2.15               12.9          44.62              0.54                4.3           20.43
                                            Mpumalanga                                                                            5.15        14.43            39.18                  1.03               8.25          42.27              3.09             10.31            20.62
                                            North West                                                                            5.69        20.33             43.9                  2.44              13.01          44.72                 0               4.07           23.58
                                            Northern Cape                                                                         6.45        29.03            70.97                  3.23              45.16          80.65                 0             19.35            54.84
                                            Western Cape                                                                              0       10.37            27.41                     0               8.15          44.44              5.19             11.85            35.56
                                            South Africa                                                                          6.25        21.19            49.67                  1.02              10.20          39.26              1.24               5.54           19.45

         6 Graph
                                                                                                  SEVERE MALNUTRITION - UNDER FIVE YEARS


                                                      98 500

                                                      88 000

                                                      77 500
                                             number




                                                      67 000

                                                      56 500

                                                      46 000

                                                      35 500

                                                      25 000
                                                           2001                                                        2002                    2003                            2004                       2005                      2006                     2007                    2008             2009             2010




         7 Data format                      Numbers
         8 Definition                       A new born found to weigh less than 60% of estimated weight for age, or to suffer from marasmus, kwashiokor, or similar illnesses, excluding new born babies. Severe malnutrition might also be
                                            denoted as clinically malnourished. New ambulatory
                                            Z score Height-for-age (HAZ): HAZ<= -3 = severely stunted; HAZ<=-2 = stunted
                                            Z score Weight-for-age (WAZ): WAZ<=-3 = severely underweight; WAZ<=-2 = underweight
                                            Z score Weight-for Height (WHZ): WHZ<=-3 = severely wasted; WHZ<=-2 = wasted
         9 Data source                      1) District Health Information System (DHIS) various issues,
                                            2) Labadarios, D., Van Middelkoop, A. (Eds.). 1995. The South African Vitamin A Consultative Group (SAVACG). Children aged 6 to 71 months in South Africa, 1994: Their anthropometric,
                                            vitamin A, iron and immunisation coverage status. Isando: SAVACG
                                            3) Labadarios D. (editor), Steyn NP, Mauner E, MacIntyre U, Swart R, Gericke G, Huskisson J, Dannhauser A, Vorster HH, Nesamvuni AE. The National Food Consumption Survey (NFCS):
                                            children aged 1-9 years, South Africa, 1999. Pretoria: Department of Health, 2000. www.sahealthinfo.org/nutrition/nfcs/chapter4. Accessed December 7, 2005
                                            4)Labadarios D, Swart R, Maunder EMW, Kruger HS, Gericke GJ, Kuzwayo PMN, Ntsie PR, Steyn NP, Schloss I, Dhansay MA, Jooste PL, Dannhauser A , Nel JH, Molefe D, Kotze TJvW. The
                                            National Food Consumption Survey- Fortification Baseline (NFCS-FB-I): South Africa, 2005. Directorate: Nutrition, Department of Health. Pretoria. 2007



The underweight for age rate is all children that are underweight for age per 1000 children in the target population. A child is underweight for age if below the third centile but equal to or over 60% of
Estimated Weight for Age (EWA) on the Road-to-Health chart (below 60% is severe malnutrition). Note that 'Not gaining weight under 5 years' is a more sensitive indicator of nutrition problems. On the
Road-to-health card the most important issue to track is whether the child is increasing in weight. Children occupy the full spectrum of weights and if a child on the fiftieth percentile is not gaining weight
this is as important for that child as for a child on the fifth percentile that also loses weight. The child on the fiftieth percentile has to go a lot further to reach the third percentile but all along the way the
child is at increased risk of disease and infection. Thus ‘Not gaining weight under 5 years’ allows early detection and intervention before the child become underweight or severely malnourished.


                                     Ea
                                     ste
                                     rn
Indicator                            Ca                                                                                               KwaZulu         Mpumalang            Northern                                                Western            National
Name       Year                      pe Free State                                                                            Gauteng -Natal  Limpopo a         North West Cape                                                    Cape               average
Severe
malnutriti
on
under 5
years
incidenc
e
(annualis
ed)                          2007 4.8                                                                                  3.7          3.2             7.2              2.6               4.1               8.8               6.2                 3.6               4.9
                             2008 4.8                                                                                  4.3          3.6             7.2              3.6               4.3              11.6               5.6                 4.3               5.4
                             2009 4.9                                                                                  6.2          3.3             7.8              3.8               5.3               8.0               5.5                 5.6               5.5
Underwe
ight for
age
under 5
years
incidenc
e
(annualis
ed)                          2007     ##                                                                           29.2            21.7            20.8         15.2                  19.3              25.9              35.1                22.5           20.1
                             2008     ##                                                                           28.5            19.9            18.9         17.0                  20.6              29.5              34.4                23.7           20.7
                             2009     ##                                                                           25.6            23.3            23.3         19.9                  16.9              26.9              45.4                26.9           22.8
Not
gaining
weight
under 5
years
incidenc
e
(annualis
ed)                          2007     ##                                                                           90.5            20.2            44.4         38.4                  39.8              40.5              85.7                63.3           42.8
                             2008     ##                                                                           91.7            18.6            39.9         43.8                  37.5              46.8             128.1                77.7           44.7
                             2009     ##                                                                           77.9            17.7            42.7         53.4                  38.9              45.2             100.5                98.5           47.0



As illustrated in graph below, the not gaining weight incidence is significantly higher than the indicators measuring underweight or severely
malnourished children. This is a good indication that growth monitoring are being done and that the 'early warning' strategy is working. If the
percentages are more equal, though, it indicates that corrective action is not taken in time to prevent severe malnutrition.
                                                                                                     South Africa: Comparison of Child Nutrition and Growth
                                                                                                                 Monitoring Indicators 2007-2009


                                                                                  50

                                                                                  45
                                                         Per 1000 population under 5years




                                                                                  40

                                                                                  35

                                                                                  30

                                                                                  25

                                                                                  20

                                                                                  15

                                                                                  10

                                                                                            5

                                                                                            0
                                                                                                                2007                                             2008                                             2009

                                                                                                               Not gaining weight             Underweight for age                Severe malnutrition




                                                                                                                         South Africa Severe malnutrition incidence under 5 years 2001-2009


                                                      30


                                                      25
                                                       Per 1000 pop under 5 years




                                                      20


                                                      15


                                                      10


                                                       5


                                                       0
                                                                                                Eastern   Free State      Gauteng        KwaZulu-         Limpopo       Mpumalanga North West             Northern       Western       National
                                                                                                 Cape                                     Natal                                                            Cape           Cape         Average



                                                                                                                                    2001    2002     2003     2004      2005   2006     2007    2008    2009




                                     Free

                                     Stat                                                                                     KwaZulu-                      M pumalang                                                             National
Year          Eastern Cape           e      Gauteng                                                                           Natal        Limpopo          a          North West              Northern Cape     Western Cape      Average
       2001                    15    8.1                                                                               15.7         20.2            6.7               1.8               15                10.8              4.9                12.7
       2002                   12.8   6.1                                                                               13.9         25.7            6.1               5.4               11                21.2              3.7                13.4
       2003                   11.2   4.9                                                                                8.2         23.3            5.6              10.3              11.5               13.9              3.5                11.7
       2004                     8    5.4                                                                                3.1         13.4            4.8               8.4               8.5                16               2.8                 7.6
       2005                    7.1   4.3                                                                                3.1          9.8            3.6               6.8               6.1               11.3              2.5                  6
       2006                    5.9     4                                                                                3.4          9.7            3.7               4.4                7                 8.7               3                  5.7
       2007                   4.8    3.7                                                                               3.2           7.2            2.6              4.1               8.8                6.2               3.6                4.9
       2008                   4.8    4.3                                                                               3.6           7.2            3.6              4.3              11.6                5.6               4.3                5.4
       2009                   4.9    6.2                                                                               3.3           7.8            3.8              5.3               8.0                5.5               5.6                5.5




DRAFT                                                                                                                                                                                                                                                                                                                                Page 36 of 83
 1   Indicator      37 Immunisation coverage
 2   Category          Health
 3   Goal              To improve child health and reduce infant and under-five mortality and morbidity and attain a coverage rate of 90 per cent.
 4   Trend analysis    South Africa has done well since the turn of the century in increasing the general immunisation coverage of infants (under one year
                       of age). Immunisation coverage has been increased from 63% in 1998 to 89.6% in 2010 with the highest coverage of 95.5%
                       achieved in 2009. This shows a remarkable progress which could be imply that implementation of the WHO strategy known as
                       Reach Every District, aimed at improving coverage and protecting children against vaccine preventable diseases, is successful


 5 Data
                         Table           Immunisation coverage
                                                1998      1999     2000       2001    2002    2003    2004       2005      2006       2007          2008     2009     2010
                         Immunisation
                         Coverage           63.0%                 75.8%   79.5%      80.9%   81.1%   83.1%    90.2%       86.5%      84.5%      88.2%       95.5%    89.6%


 6 Graph
                         Table           Immunisation coverage per province
                         %                                                    2001    2002    2003    2004       2005      2006       2007          2008     2009     2010
                         Eastern Cape                                          65     66.3    71.7    70.9       75.8      76.5       78.2          80.3      88.3    81.1
                         Free State                                           68.3    68.8    68.1    70.7       78.2      79.5       78.1          83.1      86.7    82.3
                         Gauteng                                              64.3    66.5    70.4    75.2       91.8     101.1      105.5      112.6        115.7   110.0
                         KwaZulu-Natal                                        62.6    62.6    62.8    61.9       66.5      77.3       77.9          82.1      85.7    82.5
                         Limpopo                                              72.2    78.9    77.4    76.4       81.2      88.6       82.1          90.7      98.3    94.0
                         Mpumalanga                                           62.2    62.5    65.5    68.8       77.2      81.3       87.7          86.2      90.8    74.2
                         North West                                           73.7      66    65.1    66.5       72.4      69.6         74           93       85.8    85.1
                         Northern Cape                                         70     69.7    72.9    76.1       81.3      87.8       91.1          91.6      97.6    88.2
                         Western Cape                                         71.1    73.3    75.9    78.4       84.4      95.3       99.8      100.9        104.2    94.1


                             IMMUNISATION COVERAGE

                         100%

                          90%

                          80%

                          70%

                          60%
                             1998        1999          2000      2001     2002       2003     2004     2005        2006       2007           2008          2009      2010




 7 Data format           Percentage
 8 Definition            Proportion of children under one year who received all their primary vaccines for tuberculosis (TB), diphtheria, whooping cough,
                         tetanus, polio, measles, hepatitis B and haemophilus influenza
 9 Data source           District Health Information System
10 Data note             Some of the totals exceed 100% due to the size of the denominator vs the numerator




DRAFT                                                                                            Page 37 of 83
 1   Indicator        38 Maternal Mortality Ratio (MMR)
 2   Category            Health
 3   Goal                To improve women's health and reduce maternal and neonatal mortality and morbidity.
 4   Trend analysis      Good maternal health reflects on the quality of and access to maternal (sexual and reproductive) health care, while also offering evidence regarding
                         the health status of women at reproductive age and that of their children. Data indicates that the maternal mortality ratio (MMR) in South Africa is
                         high, and increasing. Given the target of 38, it is highly unlikely that South Africa will achieve the MDG for maternal mortality. The five main causes
                         of maternal mortality in South Africa remained the same during 2002-2004 and 2005-2007, with non-pregnancy related infections, mainly resulting
                         from AIDS, hypertension and obstetric haemorrhage being the most common.
 5 Data
                           Table 1            Maternal Deaths / 100 000 live births
                                       1997          1998        1999            2000     2001       2002            2003           2004            2005               2006   2007      2008         2009    2010
                       1              80.69         84.25       93.19           97.64   116.18     123.71          165.50
                       2                            73.80                                                          165.50
                       3                                        88.40          116.80   114.50     135.60
                       4                                                                                                                          400.00
                       5                                                       230.00                                                             400.00
                       6                                                                578.00
                       7                                                                                                                                               300
                       8                                                                                                                                                                 310
 6 Graph
                                      MARTERNAL DEATHS / 100 000 LIVE BIRTHS

                                      180

                                      160

                                      140
                              ratio




                                      120

                                      100

                                       80

                                       60
                                         1997                           1998                     1999                              2000                            2001                2002                 2003


                                                                                                              Statistics SA data           Department of Health data




                       8 Table 2                                  Estimated MMR, deaths per 100 000 live births
                           Region                                1990           1995     2000       2005             2008
                           Australia                               10             13        9            8                8
                           Brazil                                 120             98       79           64              58
                           Chile                                   56             40       29           26              26
                           Colombia                               140            120      110           85              85
                           Malysia                                 56             46       39           34              31
                           Mauritius                               72             67       28           32              36
                           Mexico                                  93             85       90           87              85
                           Nigeria                               1100           1100      980           900            840
                           South Africa                           230            260      380           440            410
                           Thailand                                50             52       63           51              48
                           Africa                                 780                                                  590
                           Sub-Sahara                             870                                                  640
                           World Total                            400                                                  260


 7 Data format             Ratio
 8 Definition              Deaths of women while pregnant or within 42 days of termination of pregnancy from any cause related to or aggravated by the pregnancy or its
                           management, but not from accidental or incidental causes
 9 Data source             1) Statistics SA's calculations based on 'Causes of Death' reports from Department of Home Affairs
                           2) DOH: 1998, 2003 Demographic survey
                           3) Saving Mothers, 3rd report on Confidential Enquiries into Maternal Deaths in SA, 2002-2004, Department of Health 2006
                           4) UNICEF Maternal and Newborn Health, 2009
                           5) www.MGD monitoring, UN estimates
                           6) Population Health Metrics, 2008 (6)4
                           7) Dorrington, R. E. and Bradshaw, D. 2011. "Maternal mortality in South Africa – lessons from a case study in the use of deaths reported by
                           households in censuses and surveys", Journal of Population Research 28(1):49-73.
                           8) Health Data Advisory and Coordination committee (HDACC) Report, November 2011
10 Data note               Following a maternal death in a public hospital, it is standard requirement that a confidential inquiry is held. The DoH MMR calculation uses the
                           reports that are completed in this process.




DRAFT                                                                                                                                                                                Page 38 of 83
 1   Indicator        40 Tuberculosis (TB)
 2   Category            Health
 3   Goal                To halve the incidence of TB between 1990 and 2015.
 4   Trend analysis      Case notification for all forms of TB has steadily increased over 10 years from 188, 695 in 2001 to 401, 048 in 2010. The national TB cure rate in South Africa has also improved
                         systematically over the past years. One of the priorities of Government is to increase the national tuberculosis cure rate to 70% by improving interventions for tuberculosis control and
                         management. Although there is a one-year time lag between notification and successful treatment, it is likely that this target will be achieved. South Africa is also most likely going to
                         achieve the MDG goal related to detection and cure of TB related cases. There is however a number of additional TB related MDG targets, that South Africa will most likely not achieve
                         i.e. incidence, prevalence and death rates associated with TB largely because of the high HIV/AIDS/TB co-infection rates.
 5 Data
                         Table                           TB prevalence
                                                              1994        1995       1996       1997                1998                  1999      2000           2001      2002       2003        2004        2005        2006         2007         2008         2009      2010


                       1 TB case notification                90 292     73 917     109 328   125 913           142 281            148 164        151 239         188 695   224 420   255 422    279 260     302 467      341 165      336 328      340 559       406 082   401 048
                       2 Successful treatment rate               73         73         73             73                73                 72             63         61        63         63          66          71           73           71              71       73
                       3 Cure rate                               54         57         54             57                60                 60             54         50        50         51          51          58           62           63              69       67        71
                       4 Defaulter rate                          18         19         18             19                19                 17             13         11        12         11          10          10            9            8               8        8         7


                         Table 2                         World Heath Organisation's TB indicators
                                                                                                                                                    2000           2001      2002       2003        2004        2005        2006         2007         2008         2009      2010
                         DOTS coverage (%)                                                                                                                77         77        98        100          93          94         100          100          100          100       100
                         Notification rate (new and relapse cases/ 1000 000 pop)                                                                         333        322       462        483         562         564         628          649          799          834       802
                         % notified new and relapse cases reported under DOTS                                                                             82         78        99        100          97          96         100          100          100          100       100
                         Notification rate (new ss+ cases/ 100 000 pop)                                                                                  167        182       212        247         266         262         272          279          285          286       264
                         % notified new ss+ cases reported under DOTS                                                                                     82         85        99        100          96          96         100          100          100          100       100
                         Case detection rate ( all new cases, %)                                                                                          43         44        53         53          56          55          60           62           72           81        80
                         Case detection rate ( new ss+ cases, %)                                                                                          76         70        72         77          78          75          77           78           68
                         Treatment success ( new ss+ patients, %)                                                                                         63         61        68         67          69          71          74           74           76           73
                         Re-treatment cases success (ss+ patients,%)                                                                                      50         50        53         52          56          58          67           64           64           60




 6 Graph
                                   TB CASE NOTIFICATION                                                                                                         TB TREATMENT
                                                                                                                                                               TB TREATMENT


                              450
                         450 000 000
                           450000                                                                                                                        8080
                                                                                                                                                          80
                              400
                         400 000 000
                           400000                                                                                                                        7070
                                                                                                                                                          70
                              350
                         350 000 000
                           350000                                                                                                                        6060
                                                                                                                                                          60
                              300
                         300 000 000
                           300000                                                                                                                        5050
                                                                                                                                                          50
                          number




                              250 000
                                                                                                                                                  rate




                         250 000
                           250000                                                                                                                        4040
                                                                                                                                                          40
                              200 000
                         200 000
                           200000                                                                                                                        3030
                                                                                                                                                          30
                              150 000
                         150 000
                           150000
                                                                                                                                                         2020
                                                                                                                                                          20
                              100 000
                         100 000
                           100000
                                                                                                                                                         1010
                                                                                                                                                          10
                               50 000
                             000
                          5050000
                                                                                                                                                         0 00
                                    0
                               00
                                                                                                                                                                  1994     1996 1997 1998 1999                 2003 2004 2004 2005
                                                                                                                                                                 1994 1995 1996 1997 1998 1999 2000 2001 20022002 2003 2005 2006 2007
                                                                                                                                                                                                    2001 2002
                                                                                                                                                                1994 1995 1996 1997 1998 1999 2000 2000 2001 2003 2004 2005 2006 2007 20062008
                                                                                                                                                                                                                                            2009 2008
                                                                                                                                                                                                                                       2008 2007 2010
                                              1995

                                              1996

                                              1997

                                              1998

                                              1999

                                              2000



                                              2002

                                              2003

                                              2004

                                              2005

                                                                                               2006

                                                                                                        2007

                                                                                                                 2008

                                                                                                                          2009

                                                                                                                                   2010
                                              2001
                                     1994

                                            1995

                                            1996



                                            1998

                                            1999

                                            2000



                                            2002

                                            2003

                                            2004

                                            2005

                                                                                             2006

                                                                                                      2007

                                                                                                               2008

                                                                                                                        2009

                                                                                                                                 2010
                                            1997




                                            2001
                                     1995

                                            1996

                                            1997



                                            1999

                                            2000

                                            2001

                                            2002

                                            2003

                                            2004

                                            2005

                                                                                             2006

                                                                                                      2007

                                                                                                               2008

                                                                                                                        2009

                                                                                                                                 2010
                                            1998




                                                                                                                                                                                                                        Curerate DefaulterDefaulterrate
                                                                                                                                                                                                                        Cure rate
                                                                                                                                                                                      Successful treatment rate Cure rate
                                                                                                                                                                                     Successful treatment rate rate
                                                                                                                                                                                          Successful treatment                             Defaulter rate
                                                                                                                                                                                                                                          rate




 7 Data format           Number, rate,
 8 Definition            1) Number of TB cases all types reported to the Department of Health, 2) Successful completion of treatment rate , 3) Percentage of patients who have shown to have been
                         cured at the end of treatment, 4) The percentage of patients who fail to complete the full course of treatment
                         DOTS - Directly Observed Treatment Short-course( the basic package that underpins the stop TB strategy)
                         ss+ TB means smear positive tuberculosis
                         MDR-TB is multiple drug resistant tuberculosis ( resistance to, at least isoniazid and rifampicin)
                         GLC- Green light committee
 9 Data source           1) World Heath Organisation, 2009 drawing upon the National TB Control Programme (NTCP), Department of Health, 2,3,4) NCTP Department of Health and South African
                         Health Review




DRAFT                                                                                                                                                                      Page 39 of 83
 1   Indicator        41 Malaria
 2   Category            Health
 3   Goal                To reduce malaria morbidity and mortality by 10 per cent each year
 4   Trend analysis      Malaria cases in South Africa have been steadily declining over the past 11 years. Between 2000 and 2010, morbidity was reduced by 88% (64
                         622 and 8 066 cases respectively) and mortality by 81% (458 and 87 deaths respectively). Both morbidity and mortality as a result of malaria can
                         be reduced further over the next few years through scale-up of successful interventions to combat this disease. These interventions included a
                         robust indoor residual spraying programme. Other success factors included effective case management by ensuring definitive diagnosis and
                         treatment with combination malaria therapy and conducting malaria case management and epidemic preparedness workshops to foster a robust
                         epidemic preparedness and response.
 5 Data
                         Table                  Malaria
                                                       1996      1997      1998       1999      2000       2001      2002       2003     2004     2005    2006     2007    2008          2009      2010

                         Cases                    27 035      23 121    26 445    51 444       64 622     26 506    15 649    13 459    13 399   7 755   12 163   5 210   7 727         5 586     8 066
                         Deaths                         163       104       198        406       458        119        96        142       89       64      89       48      44              43      87
                         Fatality Rate             0.60%      0.45%     0.75%        0.79%     0.71%      0.45%     0.61%     1.06%     0.66%    0.83%   0.73%    0.92%   0.57%       0.77%       1.08%


 6 Graph
                                   MALARIA

                                 70 000                                                                                                                                       500
                                                                                                                                                                              450
                                 60 000
                                                                                                                                                                              400
                                 50 000                                                                                                                                       350
                                                                                                                                                                              300
                                 40 000




                                                                                                                                                                                    deaths
                         cases




                                                                                                                                                                              250
                                 30 000
                                                                                                                                                                              200

                                 20 000                                                                                                                                       150
                                                                                                                                                                              100
                                 10 000
                                                                                                                                                                              50
                                     0                                                                                                                                        0
                                         1996   1997      1998      1999      2000      2001       2002      2003      2004      2005     2006    2007    2008    2009    2010


                                                                                                          Cases        Deaths


 7 Data format           Rate
 8 Definition            Fatality rate: The number of reported deaths due to malaria divided by number of malaria reported cases multiplied by 100
 9 Data source           Department of Health's Malaria Notification System



DRAFT                                                                                        Page 40 of 83
 1 Indicator        42 Early childhood development
 2 Category            Education
 3 Goal                100 percent of grade 1 learners should have recived formal Grade R by 2014
 4 Trend analysis      Increasingly, parents take their children to Early Childhood Development (ECD) facilities, as 20% growth is recorded for the period between 2008
                       and 2010 on the 5-year olds category. This increase corresponds with Stats SAs general houselhold numbers that indicates that Grade R
                       enrolment in ordinary schools has more than doubled between 2003 and 2011. The move towards universal Grade R has been a key achievement
                       in the education system which is likely to have positive impacts on learning in Grade 1 and above, given what research from South Africa and
                       beyond tells us about the positive impact of Grade R and pre-Grade R attendance on learning throughout a learner’s subsequent school grades.


 5 Data
                       Table 1                           Children attending ECD facilities
                                                     %          2002          2003           2004        2005           2006       2007        2008     2009       2010
                       0-4 year olds                                7.3       11.6           11.5         14.3          16.0        16.1       16.7      29.8       32.2
                       3-5 year olds                                                                                                                     60.0       64.0
                       5 year olds                                 39.3       48.1           51.9         59.3          61.6        60.2       63.2      78.3       83.4
                       Apparent intake rate                                                                                                             122.8      113.2



                       Table 2                           3-5 year olds attending ECD facilities and Apparent intake rate for 2009 and 2010
                                                                                   Apparent intake rate
                                                              ECD attendance       (AIR)
                                                                2009          2010          2009        2010
                       Eastern Cape                          66.2         69.8         147.3          134.4
                       Free State                            7.1          63.2         118.7          93.1
                       Gauteng                               68.3         70.1         121.1          112.0
                       KwaZulu-Natal                         50.0         59.6         134.2          111.7
                       Limpopo                               67.8         70.6         106.2          120.0
                       Mpumalanga                            59.7         58.8         123.1          105.9
                       Northern Cape                         48.6         56.0          98.4          90.7
                       North West                            55.5         51.5         106.1          161.4
                       Western Cape                          55.2         59.9         111.7          106.3
                       South Africa                          60.0         64.0         122.8          113.2



 6 Graph
                                       CHILDREN ATTENDING ECD FACILITIES

                                 65.0

                                 55.0

                                 45.0
                             %




                                 35.0

                                 25.0

                                 15.0

                                     5.0
                                              2002           2003             2004             2005              2006           2007           2008         2009           2010


                                                             0-4 year olds           3-5 year olds            5 year olds


 7 Data format         rate, percentage
 8 Definition          Early Childhood Development (ECD) programme comprises of a set of activities which are meant to provide stimulation and learning appropriate to
                       children’s developmental needs, including children with a disability, chronic illness and other special needs.
                       Apparent Intake Rate (AIR) is defined as the total number of new entrants in the first grade of primary education, regardless of age, expressed as a
                       percentage of the population at the official primary school-entrance age (UIS, 2010). Apparent Intake Rate indicates the general level of access to
                       primary education. It also indicates the capacity of the education system to provide access to grade 1 for the official school-entrance age population.


 9 Data source         Department of basic education
10 Data Note           AIR is calculated by diving the number of new entrants in grade 1 irrespective of age by the population of official school-entrance age and then
                       multiplied by 100.




DRAFT                                                                                                                                   Page 41 of 83
 1 Indicator        43 Class ratio in public ordinary schools
 2 Category            Education
 3 Goal                To reduce learner-educator ratios in line with international standards
 4 Trend Analysis      The Learner: Teacher ratio has been declining over the years, and the national average ratio is 31. The average learner: teacher ratio does not mean there
                       are no overcrowded classes, which are still prevalent and affect learning in some districts.




 5 Data                Table 1                      Learner: Educator Ratio in Public Ordinary Schools
                                                             1999          2000           2001           2002           2003             2004             2005             2006         2007         2008         2009         2010
                       Educator                         365 447       363 343       354 201          360 155       362 598             362 042          382 133          386 595      395 452      400 953     386 587      389 329
                       Learners                      12 313 899     11 903 455    11 738 126      11 917 017    12 038 922       12 176 391       12 217 765        12 302 236     12 410 501   12 239 363   11 828 747   11 809 355
                       Learner: Educator Ratio                34             33             33             33             33               34               32               32           31           31           31           30



                       Table 2                      Learner: Educator Ratio in Public Ordinary Schools by province (2009)
                                                      Learners    As % of      Educators    As % of     Schools      As % of                      Learner:
                                                                 National                  National                 National                      Educator
                                                                   Total                     Total                    Total                         Ratio
                       Eastern Cape                   2 032 198            17%           67 409          17%            5 668             23%               30
                       Free State                       642 234             5%           23 583           6%            1 547              6%               27
                       Gauteng                        1 720 243            15%           54 586          14%            1 970              8%               32
                       KwaZulu-Natal                  2 773 336            23%           85 901          22%            5 907             24%               32
                       Limpopo                        1 671 672            14%           56 766          15%            3 988             16%               29
                       Mpumalanga                     1 016 479             9%           33 984           9%            1 844              7%               30
                       North West                       264 857             2%            8 888           2%             600               2%               30
                       Northern Cape                    764 493             6%           25 762           7%            1 716              7%               30
                       Western Cape                     943 235             8%           29 708           8%            1 453              6%               32
                       National                      11 828 474            100%     386 587              100%          24 693            100%               31


 6 Graph                34


                        33


                        32


                        31


                        30


                        29


                        28
                                  1999       2000     2001          2002          2003            2004          2005            2006             2007             2008         2009         2010


 7 Data format         Ratio
 8 Definition          The average number of learners per teachers in a given school year, based on headcounts for both learners and teachers (Public ordinary schools data
 9 Data source         1999 data from Department of Education (DoE) (undated) Education Statistics 1999 at a Glance; February 2000 data from DoE Statistics at a glance 2000;
                       2001 data from DoE (2003), Education Statistics at a Glance in 2001; 2002-2005 data from Education Statistics in SA at a Glance(2005), published
                       November 2006 with data originally sources from 2001-2005 SNAP Survey; 2006 data from DoE , 2006 School Realties, October, 2007 data from DoE.
                       2008 data from DoE , 2008 School Realties. 2009, 2010 data from DBE




DRAFT                                                                                                                           Page 42 of 83
 1 Indicator        44 Enrolment rates: Gross Enrolment Rate (GER), Gender Parity Index (GPI)
 2 Category            Education
 3 Goal                To increase participation in education and to eliminate gender disparities
 4 Trend analysis      Gross enrolment at primary school shows the country having achieved close to universal access to primary education for both genders. However, there is not yet full enrolment at
                       secondary (high school) level. The education system still finds it difficult to keep learners at school post the compulsory stage, especially boy learners who exit the school system at
                       secondary school level more than girl learners. Government needs to work on its ability to keep learners in school up to matric, because of the currency of the matric certificate.



 5 Data
                       Table                               GER and GPI
                                                                 1997     1998     1999       2000        2001       2002           2003           2004         2005         2006   2007    2008       2009       2010
                       Primary
                       Primary GER of girl learners             116.5     114.6    112.7     103.2       102.8       103.0          102.6          102.0        101.0       106.5   101.6    96.6      96.0        94.7
                       Primary GER of boy learners              119.8     117.9    116.3     108.9       107.1       107.1          107.0          106.8        105.0       101.4   105.2    99.1      99.0        98.6
                       Primary GPI                              0.972     0.973    0.969     0.948       0.960       0.962          0.959          0.955        0.962       0.960   0.966   0.980     0.980       0.960
                       Secondary
                       Secondary GER of girl learners            89.8      91.6     90.6      87.4        88.7        89.7           90.6           92.8            92.0     97.6    93.3    87.9      83.0        88.4
                       Secondary GER of boy learners             77.3      80.0     79.6      77.5        79.3        81.3           82.8           84.6            85.0     80.8    88.2    81.6      82.0        82.5
                       Secondary GPI                            1.162     1.146    1.139     1.127       1.119       1.103          1.094          1.097        1.082       1.090   1.058   1.080     1.010       1.071
                       Total GER of girl learners               105.6     105.2    103.7      96.8        97.1        97.6           97.8           98.3             97      94.0   98.45    93.0      92.0        92.0
                       Total GER of boy learners               102.51    102.39   101.31     96.16       95.84       96.71          97.28          97.81        97.00       93.00   97.85    91.9      90.0        91.8
                       Overall GPI                              1.030     1.027    1.023     1.006       1.013       1.009          1.005          1.004        1.000       1.010   1.006   1.010     1.020       1.002


 6 Graph
                                       GENDER PARITY INDEX


                                    1.20


                                    1.15


                                    1.10
                            index




                                    1.05


                                    1.00


                                    0.95


                                    0.90
                                        1997        1998        1999      2000       2001        2002         2003           2004           2005             2006          2007     2008    2009         2010

                                                                                                                     Primary GPI             Secondary GPI




 7 Data format         Index
 8 Definition          Gross Enrolment Rate (GER) is the total learner per education level divided by population of corresponding official age in the education level
                       The ratio of GER for female learners to the GER of male learners regardless of age, in public and independent ordinary schools for given year
 9 Data source         Education statistics in South Africa at a Glance (2006), published February 2008, with data originally sourced from 2001 - 2006 SNAP surveys (conducted on the 10th school day), School
                       Realities publications 2005 to 2007. 2009,2010 Department of Basic Education
10 Data Note           The data on the GER (primary and sec) have been distorted in 2010 owing to changes in the way Stats SA has calculated its 2010 population estimates. Hence changes to the trend line




DRAFT                                                                                                    Page 43 of 83
 1 Indicator        45 National Senior Certificate Examinations pass rate
 2 Category            Education
 3 Goal                To improve the quality of education as reflected in the National Senior Certificate Examinations
 4 Trend analysis      The overall matric pass rate is on an upward trend, after declining between 2003 and 2009. The actual number of learners passing matric exams has been increasing since 2001, mainly
                       due to an increase in the number of learners who sit for the matric exam.




 5 Data                Table                            National Senior Certificate Examinations pass rate
                                                             1994      1995        1996      1997      1998        1999          2000          2001          2002       2003         2004       2005       2006        2007       2008       2009      2010      2011
                       Number Wrote                                 531,453   513,868    558,970   552,384     511,159     489,298       449,332        443,765     440,096        467,890   508,180     527,950     564,381    554,664    552,073   537,543   496,090
                       Number Passed                                283,742   279,487    264,795   272,488     249,831     283,294       277,206        305,774     322,492        330,717   347,184     351,503     368,217    344,794    334,716   364,147   348,117
                       Pass rate                           58.0%     53.4%     54.4%      47.4%     49.3%       48.9%       57.9%         61.7%          68.9%       73.3%          70.7%     68.3%       66.6%       65.2%      62.2%      60.6%     67.8%     70.2%

                       Table                                  National Senior Certificate Examination pass rate
                                                                    2009                            2010                                  2010

                                                         Number     Number              Number     Number                  Number        Number
                       Province                            Wrote     Passed Pass rate     Wrote     Passed Pass rate         Wrote        Passed Pass rate
                       Eastern Cape                        68,129    34,731     51.0%     64,090    37,345        58.3%      65,359       37,997         58.1%
                       Free State                          29,808    20,680     69.4%     27,586    19,484        70.6%      25,932       19,618         75.7%
                       Gauteng                             98,659    70,871     71.8%     92,241    72,538        78.6%      85,367       69,216         81.1%
                       KwaZulu-Natal                     132,176     80,733     61.1%    122,444    86,556        70.7%    122,126        83,204         68.1%
                       Limpopo                             83,350    40,776     48.9%     94,632    54,771        57.9%      73,731       47,091         63.9%
                       Mpumalanga                          53,978    25,852     47.9%     51,695    29,382        56.8%      48,135       31,187         64.8%
                       North West                          30,665    20,700     67.5%     28,909    21,874        75.7%      25,364       19,737         77.8%
                       Northern Cape                       10,377     6,356     61.3%     10,182      7,366       72.3%      10,116        6,957         68.8%
                       Western Cape                        44,931    34,017     75.7%     45,764    34,831        76.1%      39,960       33,110         82.9%
                       Total Wrote                       552,073    334,716     60.6%    537,543   364,147        67.8%    496,090       348,117         70.2%


                                       600 000                                                                                                                                                                                                         80.0%

                                                                                                                                                                                                                                                       70.0%

                                       500 000                                                                                                                                                                                                         60.0%




                                                                                                                                                                                                                                                                  Pass rate
                                                                                                                                                                                                                                                       50.0%
                       Number




                                       400 000                                                                                                                                                                                                         40.0%

                                                                                                                                                                                                                                                       30.0%

                                       300 000                                                                                                                                                                                                         20.0%

                                                                                                                                                                                                                                                       10.0%

                                       200 000                                                                                                                                                                                                         0.0%
                                                 1994      1995      1996      1997      1998      1999       2000        2001          2002          2003      2004        2005         2006     2007        2008       2009       2010      2011


                                                                                                              Number Wrote               Number Passed                 Pass rate


 7 Data format         Number of learners, Percentage
 8 Definition          Number of people who passed the senior certificate examination as a percentage of those that wrote the examinations
 9 Data source         Department of Basic Education




DRAFT                                                                                                                                                          Page 44 of 83
 1 Indicator        46 Number of candidates for the National Senior Certficate examinations with mathematics passes.
 2 Category            Education
 3 Goal                To increase the number of National Senior Certificate passes with mathematics
 4 Trend analysis      Mathematics Literacy rates amongst Matric students are increasing. However, at a higher level, the number of learners passing Mathematics is declining. The policy shift towards ensuring that all learners are
                       exposed to some form of mathematics is commendable. It should be noted, however, that the increasing enrolments in mathematics literacy could imply that most of those learners would not be accepted in
                       some science and engineering courses at tertiary level. Therefore, there is a need to increase the number of learners registered for mathematics at a level which would enable them to enter such courses at
                       tertiary level.
 5 Data
                       Table                                   Number of candidates for the National Senior Certficate examinations with mathematics passes.
                                                                     1995         1996          1997         1998          1999         2000        2001                              2002               2003        2004          2005         2006     2007          2008          2009            2010      2011
                       Higher grade passes                            29,475       22,416        19,575          20,130     19,854       19,327      19,504                          20,528             23,412      24,143       26,383       25,217    25,415
                       Standard grade passes                                                     75,543          77,210     79,512       85,181      78,181                         101,289            104,707     109,664      112,279      110,452   123,813


                       Mathematics passes                                                                                                                                                                                                                          136,184        133,505          124,749   104,033

                       Mathematical Literacy passes                                                                                                                                                                                                                210,134        207,326          241,576   236,548




                                                                                                                                                                                                         300 000
 6 Graph                                      MATRICULANTS WITH MATHEMATICS PASSES UP TO 2007

                                                                                                                                                                                                         250 000
                                           32 500
                                                                                                                                                         125 000
                                           30 000                                                                                                                                                        200 000




                                                                                                                                                                   standard grade
                                                                                                                                                         115 000




                                                                                                                                                                                              number
                                           27 500
                            higher grade




                                                                                                                                                                                                         150 000
                                           25 000                                                                                                        105 000
                                           22 500                                                                                                                                                        100 000
                                                                                                                                                         95 000
                                           20 000
                                           17 500
                                                                                                                                                         85 000                                           50 000

                                           15 000                                                                                                        75 000
                                                 1995   1996   1997     1998    1999     2000    2001     2002      2003   2004   2005   2006     2007
                                                                                                                                                                                                                         2008                   2009              2010                      2011

                                                                               Higher grade passes        Standard grade passes                                                                                                 Mathematics passes           Mathematical Literacy passes



 7 Data format         Numbers
 8 Definition          Total number of matriculants who passed mathematics on the higher grade and standard grade
 9 Data source         Department of Education




DRAFT                                                                                                                                       Page 45 of 83
 1 Indicator        47 Adult literacy rate
 2 Category            Education
 3 Goal                To reduce the illiteracy rate by 50 per cent between 1990 and 2015 in line with the education for all and MDGs target.
 4 Trend analysis      The adult literacy rate is on an upward trend, indicating positive impact of adult literacy programmes. This increase is augmented by outputs from the schooling sector in terms of graduating
                       learners who are literate.




 5 Data

                       Table                                              Literacy
                                                       1995        1996           1997          1998      1999         2000             2001          2002        2003     2004      2005       2006           2007       2008           2009
                     1 Total literacy - GHS                                                                                                          70.7%       72.6%    73.3%     74.2%      74.4%          74.1%      76.5%          79.2%
                     2 Total literacy - OHS           69.6%                      69.3%      68.7%        69.0%
                     3 Female literacy - GHS                                                                                                         69.4%       70.3%    71.8%     72.1%      73.2%          74.2%      74.7%          78.0%
                     4 Female literacy - OHS          67.2%                      67.6%      67.2%        67.4%
                       Illeteracy                     30.4%                      30.7%      31.3%        31.0%                                       29.3%       27.4%    26.7%     25.8%      25.6%          25.9%      23.5%          20.8%



                         ADULT LITERACY RATE

                       82.0%
                       80.0%
                       78.0%
                       76.0%
                       74.0%
                       72.0%
                       70.0%
                       68.0%
                       66.0%
                       64.0%
                       62.0%
                       60.0%
                                        1995   1996       1997            1998           1999          2000          2001              2002           2003         2004      2005       2006           2007       2008           2009


                                                                                                                      Total literacy           Female literacy


 7 Data format         Percentage
 8 Definition          The number of people in a country who can read and write as percentage of total population. In the data obtained from the General and October household surveys, a literate adult is defined as
                       a person 20 years and older who has achieved at least seven years of education (i.e passed grade 7)
 9 Data source         Statistics SA's various October Household Surveys (OHS) and General Household Surveys (GHS)



                       Table                                              Literacy
                                                       1995        1996           1997          1998      1999         2000             2001          2002        2003     2004      2005       2006           2007       2008           2009
                       Total literacy                 69.6%                      69.3%      68.7%        69.0%                                       70.7%       72.6%    73.3%     74.2%      74.4%          74.1%      76.5%          79.2%
                       Total literacy - OHS           69.6%                      69.3%      68.7%        69.0%
                       Female literacy                67.2%                      67.6%      67.2%        67.4%                                       69.4%       70.3%    71.8%     72.1%      73.2%          74.2%      74.7%          78.0%
                       Female literacy - OHS          67.2%                      67.6%      67.2%        67.4%
                       Illeteracy                     30.4%      100.0%          30.7%      31.3%        31.0%                                       29.3%       27.4%    26.7%     25.8%      25.6%          25.9%      23.5%          20.8%




DRAFT                                                                                                         Page 46 of 83
 1 Indicator        48 Graduating Science Engeneering and Technology (SET) students
 2 Category            Future competitiveness
 3 Goal                To increase the percentage graduating student that are qualifying in the SET disciplines.
 4 Trend analysis      Higher education enrolment is on an upward trend. Whilst the number of graduates in Science, Engineering and Technology (SET) disciplines is rising, there is however a
                       decline in the SET graduates as percentage of total graduates. The slow increase indicates challenges related to the supply of good quality mathematics and science
                       graduates from the school level as well as less than optimal throughput at higher education institutions.
 5 Data
                       Table                                   Higher Education
                                                                     1994          1995          1996          1997          1998        1999           2000           2001      2002       2003       2004      2005      2006         2007        2008           2009      2010
                       Total Enrolment                             495,356       557,383       574,771       569,814       559,309     553,800     578,134        627,277     667,182     705,255    744,478   735,073   741,380 760 889        799,490       837,779      892,923
                                               Female              224,230       256,349       274,610       282,147       284,693     282,332     303,794        336,541     359,250     378,960    403,454   401,042   408,718 422 402        450,651       478,175      380,350
                                                 Male              271,126       301,034       300,161       287,667       274,616     266,460     274,159        290,539     307,922     326,294    341,019   334,030   332,662 338 481        348,814       359,580      512,573
                                   Unreported gender           -             -             -             -             -                 5,008           181            197          10          1        5         1              6                  25             24
                       Total number of graduates                    74,137        81,684        86,215        88,221        86,625      92,499         92,819      95,940     101,047     108,263    117,240   120,385   124,676 126 618        133,241       144,852      153,325
                                               Female               36,195        41,194        44,721        46,395        47,390      49,653         52,389      54,978      58,561      62,397     68,157    70,845    73,959 74 845            79,320      88,073       93,062
                                                 Male               37,942        40,490        41,493        41,827        39,235      39,913         40,296      40,955      42,485      45,866     49,083    49,540    50,717 51 773            53,921      56,778       60,260
                                   Unreported gender                                                                                     2,933           134              7          1                                                                                1
                       Total number of SET graduates                20,598        20,456        21,682        22,904        22,506      23,269         23,679      24,907      27,240      29,495     31,436    33,506    35,562       36,429      38,819      40,973       42,760
                       SET as % of total graduates                   27.8          25.0          25.2          26.0          26.0        25.2           25.5           26.0      27.0       27.2       26.8      27.8      28.5         28.8        29.1           28.3      27.9


 6 Graph
                                    GRADUATING SET STUDENTS
                                    29.5

                                    29.0

                                    28.5

                                    28.0

                                    27.5
                               %




                                    27.0

                                    26.5

                                    26.0

                                    25.5

                                    25.0
                                        1994            1995       1996          1997            1998           1999            2000            2001            2002          2003        2004        2005        2006       2007           2008            2009          2010




 7 Data format         Numbers, Percentage
 8 Definition          Percentage of university graduates with degrees in SET (Science Engineering and Technology)
 9 Data source         Department of Education, Higher Education Management Information System




DRAFT                                                                                                                          Page 47 of 83
 1 Indicator        49 Educational Performance below high school
 2 Category            Education
 3 Goal                To increase the percentage of graduating students that are qualifying in the SET disciplines
 4 Trend analysis      The performance of our education system is low relative to other Southern African countries, whose GDP is lower than that of South Africa and
                       which spend less per capita on education. For example, in the SAQMEQ III study, whilst South African learners did better than learners in
                       Swaziland, Tanzania, Uganda, Zambia and Zimbabwe, they were outperformed by learners in Lesotho. South Africa performed below
                       SACMEQ average both in 2000 and 2007. The results of the ANA study confirm that the majority of learners operate at low levels with average
                       scores of 28% for literacy and 30% for numeracy at grade 6. This indicates the enormity of the educational challenge.

 5 Data
                       Table 1      Performance of learners per province                                                          Table 2        Performance by country
                                                         SACMEQ II                                  SACMEQ III                                           SACMEQ III

                                                                                                                                                 Reading     Mathematics
                       Province           Reading                 Mathematics            Reading            Mathematics
                                                                                                                                  Country name   Scores        Scores
                                              Mean          SE       Mean          SE       Mean      SE       Mean         SE    Botswana          534.6                 520.7
                       Eastern Cape           444.1       14.02      449.3       10.74      447.8   10.13      468.8      10.31   Kenya             543.1                 557.0
                       Free State             446.2       12.46      447.5        6.00      491.1   12.48      491.6      10.08   Lesotho           467.9                 476.9
                       Gauteng                576.4       35.23      552.4       26.02      573.1   14.39      545.0      11.99   Malawi            433.5                 447.0
                       KwaZulu-Natal          517.5       21.63      510.3       17.48      485.6   10.56      485.2       8.22   Mauritius         573.5                 623.3
                       Limpopo                436.7       19.65      446.0       18.81      425.3    7.86      446.7       5.25   Mozambique        476.0                 483.8
                       Mpumalanga             428.1       17.54      433.4       10.82      473.6   11.13      476.1       8.19   Namibia           496.9                 471.0
                       North West             427.7        9.61      419.6        10.6      506.3   14.19      503.1      13.14   Seychelles        575.1                 550.7
                       Northern Cape          470.3       13.37      460.9        8.24      505.6   12.56      498.7      10.83   South Africa      494.9                 494.8
                       Western Cape           629.3       17.95      591.1       23.94      583.4   11.08      565.7      12.01   Swaziland         549.4                 540.8
                       South Africa           492.3        9.00      486.1        7.19      494.9    4.55      494.8       3.81   Tanzania          577.8                 552.7
                                                                                                                                  Uganda            478.7                 481.9
                                                                                                                                  Zambia            434.4                 435.2
                                                                                                                                  Zaanzibar         533.9                 486.2
                                                                                                                                  Zimbabwe          507.7                 519.8
                                                                                                                                  SACMEQ            511.8                 509.5
                       Table 3            Average percentage scores after re-marking (ANA 2011)
                                                Grade 3                Grade 6
                                           Literacy Numeracy       Literacy Numeracy
                       Eastern Cape            39%         35%        29%         29%
                       Free State              37%         26%        23%         28%
                       Gauteng                 35%         30%        35%         37%
                       KwaZulu-Natal           39%         31%        29%         32%
                       Limpopo                 30%         20%        21%         25%
                       Mpumalanga              27%         19%        20%         25%
                       North West              28%         21%        27%         28%
                       Northern Cape           30%         21%        22%         26%
                       Western Cape            43%         36%        40%         41%
                       South Africa            35%         28%        28%         30%



 7 Data format         Mean, Standard Error (SE)
 8 Data Note           Table 1 and 2 )SACMEQ (II ) undertaken from 1984 to 2004 and SACMEQ (III) undertaken from 2005 to 2010, targetted all pupils in Grade 6
                       level ( at the first week of the eighth month of the school year) who were attending registered mainstream primary school. The desired target
                       population definition for the project was based on a grade-based description and not age based description of pupils

                       Table 3) Provides percentage score per subject. The grades emereged after the verification ANA re-marking process. The averages in table
                       are derived from sample, margin of error (95%) is calculated at around 6 percent points.
 9 Definition          SACMEQ- Southern and Eastern African Consortium for Monitoring Educational Quality
                       ANA- Annual National Assessments
                       SE- Standar Error
10 Data source         SACMEQ 3 Project results (2005 to 2010): Pupil achievement levels in reading and mathematics,website - www.SACMEQ.org
                       Report on annual national assessments (ANA) 2011
 1 Indicator        50 Mathematics and Science achievement
 2 Category            Education
 3 Goal                To increase the percentage of graduating students that are qualifying in the SET disciplines
 4 Trend analysis      International assessment continues to show South Africa's school performance to be low considering the resources it is investing in education. Though there was an improvement in learner performance in science
                       between1999 to 2003, in Maths there was a decline in learner performance. The long shadow of apartheid still affects the way the education system is performing. Ex DET schools continue to occupy the bottom in
                       terms of performance compared to Ex HoA schools which continue to lead in their performance.


 5 Data                Table                     International students achievements in Maths and Science Average Scale score (Grade 8)
                                                                             Science                                           Maths
                                                                                               change in                                        change in
                       Country                                      1999            2003     achievement             1999              2003   achievement
                       Indonesia                                     435               420              +             403               411      +
                       Tunisia                                       420               413               -            448               410      -
                       Chile                                         430               404               -            392               387      -
                       Phillippines                                  345               377              +             345               378      +
                       South Africa                                  243               244              +             275              264       -



                       Table                     Change in science and maths performance from TIMSS 1999 and 2003
                                                                             Science                                           Maths


                                                                                               1999-2003                                       1999-2003
                                                           1999 average     2003 average        difference   1999 average    2003 average       difference
                                                             scale score      scale score                      scale score     scale score
                       Ex DET schools                                195               199              4             238              227            -11
                                                                 n=6166         n= 6 697                          n= 6166        n= 6 697
                       Ex HoR schools                                348            311               -37             348              314            -34
                                                                 n=1 059     n=1 211 059                          n= 1059     n=1 211 059
                       Ex HoD schools                                420            371               -49             406              366            -40
                                                                   n=212          n=303                            n = 212         n=303
                       Ex HoA schools                                457            483                26             442              468            25
                                                                   n=709          n= 741                            n=709          n= 741
                       National Average                              243            244                 1             275              264           -11


                       Table                     Average Science and Maths scale by province
                                                                     Science                      Mathematics
                                                                Average
                                                           Science Scale                 Average Maths
                       Province                        n           Score     Score range    Scale Score    Score range
                       Eastern Cape                  943       190 (10.0)          5-527         217 (5.6)          5-455
                       Free State                    867        245 (9.3)          5-622         265 (8.6)         45-630
                       Gauteng                       774       309 (22.9)         11-666        304 (19.1)         64-579
                       Kwazulu Natal               1,632       227 (16.5)          5-684        251 (17.2)         17-572
                       Limpopo                     1,145        191 (6.6)          5-506         223 (8.3)          5-570
                       Mpumalanga                    962       239 (28.5)          5-621        261 (22.4)         24-650
                       North West                    946       231 (21.5)          5-571        255 (13.7)          5-690
                       Northern Cape                 870       334 (13.9)          5-687        333 (13.5)         70-673
                       South Africa                8,952         244(6.7)          5-707        264 (5.5)           5-690
                       Western Cape                  813       386 (28.1)          5-707        389 (25.3)         96-677


 7 Data format         Numbers
 8 Data Note           Ex DET means ex-Department of Education and Training schools
                       Ex HoR means ex- House of Representatives schools
                       Ex HoD means ex- House of Delegates schools
                       Ex HoA means ex- House of assembly schools
                       Presently, the racial profiles of learners in the ex-HoR, ex-HoD and ex-HoA schools indicates that there is aracial intergration, and that in ex-DET schools the learner population is esentially African
 9 Definition          International mathematics achievement and South Africa's performance in relation to the other participating countries
10 Data source         Trends in International Mathematics and Science Study 2003
 1   Indicator        51 Strength of Civil Society
 2   Category            Voice and accountability
 3   Goal                To achieve participation of citizens in civil-society organisations
 4   Trend analysis      South Africa surpasses Chile, Korea and Poland when it comes to membership of religious organisations, labour unions and political parties. If the strength of civil
                         society is measured by belonging to some voluntary organisations then South Africa does not only compare well with the other middle-income countries but also
                         exhibits a stronger sense of social capital and solidarity.

 5 Data
                         Table                           Membership of voluntary organizations
                                                         South Africa                                 Chile                                       Korea                                 Poland
                                                                1995        2001         2006             1995           2001          2006           1995        2001        2006          1995       2001        2006
                         Church or religious                    58.4%         52.4%       51.1%         28.1%                       23.0%           15.5%       43.0%       17.5%                      5.7%      12.9%
                         Sport and recreation                   19.5%         22.9%       14.2%         16.2%        14.9%          13.2%           14.4%       19.9%       13.8%                      3.1%       4.2%
                         Art, music or educational              15.0%         20.2%       10.8%         12.8%            9.0%       10.3%            7.1%       16.4%         7.4%                     2.2%       4.6%
                         Labour union                            7.5%          9.3%        4.7%          5.6%            3.0%          3.6%          1.9%         4.7%        2.2%         2.1%       10.3%       4.4%
                         Political party                        11.4%         11.5%        7.2%          2.8%            2.4%          1.5%          2.5%         2.0%        1.0%         0.5%        0.7%       1.1%
                         Environmental                           7.3%          3.9%        3.9%          3.9%            3.0%          1.6%          6.2%         5.8%        1.6%                     1.2%       1.6%
                         Professional                            7.0%          5.3%        4.0%          7.0%            3.5%          3.1%          6.0%         7.2%        1.6%                     4.3%       2.6%
                         Charitable                              8.3%         11.9%        5.0%          7.9%            6.7%          7.8%          6.2%       10.4%         1.4%                     3.0%       3.1%
                         Other voluntary                         6.3%          9.3%       18.4%          5.4%            1.4%          1.8%          4.6%         7.9%        1.6%                     2.7%       3.3%


 6 Graph

                                  SA MEMBERSHIP OF VOLUNTARY ORGANISATIONS


                                  0.7

                                  0.6

                                  0.5

                                  0.4
                             %




                                  0.3

                                  0.2

                                  0.1

                                  0.0
                                           Church or religious Sport and recreation   Art, music or       Labour union          Political party       Environmental      Professional          Charitable     Other voluntary
                                                                                      educational


                                                                                                         1995                   2001                  2006



 7 Data format           Percentage
 8 Data note             The percentages in columns do not add up to 100 per cent as respondents could indicate that they were "active members or belong to" more than one
                         organisation. The next wave of the WVS is in 2010-2011 and to be released in 2012
 9 Data source           World Values Survey University of Stellenbosch, www.wvsevsdb.com/wvs 2006, 2010




DRAFT                                                                                                       Page 50 of 83
 1   Indicator        52 Voter participation
 2   Category            Voice and accountability
 3   Goal                To promote high levels of participation of citizens in the democratic electoral process
 4   Trend analysis      Voter participation is unlikely to reach the heights of 1999. Researchers sometimes attribute the "creeping apathy" to weak opposition to the ruling party or it may be that South Africa is reaching political maturity and like all mature
                         democracies voter turnout will continue to decline. There was however a steady increase in voter participation in the local government elections since the year 2000 elections.




 5 Data
                         Table                         Voter participation in national and provincial elections                                             Table                              Voter participation in local elections
                                                                  1994        %            1999       %               2004      %         2009       %                                           1995     %               2000        %          2006        %        2011       %

                         Voting age population (VAP)        22 709 152               22 798 845               27 436 898             27 574 414             Voting age population (VAP)                           23 532 308              25 364 801
                         VAP registered                  no registration             18 172 751 79.7%         20 674 926 75.4%       23 181 997 84.1%       VAP registered                                        18 476 516     78.5%    21 054 957    83.0%    23 655 046
                         Turnout                            19 533 498               16 228 462               15 863 558             17 919 966             Turnout                                                8 882 734              10 186 795             13 664 914
                         % Turnout of VAP                                  86.0%                  71.2%                      57.8%                65.0%     % Turnout of VAP                                                     37.7%                  40.2%
                         % Turnout of registered VAP             no registration                  89.3%                      76.7%                77.3%     % Turnout of registered VAP                                          48.1%                  48.4%                 57.8%
                         Under 35 years                                                                                                                     under 35 years                                         2000           %       2006           %
                         VAP under 35                                                11 768 544               14 162 663             13 923 366             VAP under 35                                          12 147 151              13 093 066
                         VAP under 35 registered                                      8 667 832 73.7%             9 193 845 64.9%     9 253 537 66.5%       VAP under 35 registered                                8 327 816     68.6%     8 899 915    68.0%     9 820 251
                         No turnout data                                                                                                                    Turnout under 35 years                                                         3 169 752              4 681 600
                                                                                                                                                            % Turnout of under 35 VAP                                                                   24.2%
                                                                                                                                                            % Turnout of registered under 35
                                                                                                                                                            VAP                                                                                         35.6%                 47.7%



 6 Data format           Number, Percentages
 7 Definition            Total population of at least 18 years of age (prisoners voted in 1999 and 2004 but not in the local government elections of 2000 and 2006)
                         VAP Voting Age Population
 8 Data source           State of the Nation, South Africa 2007. Human Sciences Research Council (HSRC) 2007/www.elections.org.za
 9 Data Note             Voter Turnout percentage are slightly different from what is published on the IEC website due to the difference in calculation.
                         IEC uses Max Votes/ (Registered Voters + MEC7 Votes) where MEC7 votes relates to a situation where a person has applied for registration, has the receipt of proof but was not included on the voter's roll.




DRAFT                                                                                                                                Page 51 of 83
 1   Indicator        53 Voters, per province
 2   Category            Voice and accountability
 3   Goal                To promote equal participation of all citizens in the democratic electoral process across all provinces
 4   Trend analysis      There has been a steady increase in the number of registered voters per province since 1994, but the increase in the percentage of people who actually voted is
                         not as high. The Western Cape, KwaZulu-Natal, Northern Cape and Gauteng showed a significance increase (10% and more increase) in voter turnout in the
                         2011 local elections.



 5 Data
                         Table 1         Voters in national and provincial elections, disaggregated by province
                                               1994                          1999                                        2004                                  2009
                                                            Registered        Voted             %       Registered        Voted       %       Registered        Voted       %
                         Eastern Cape                            2,454,543      2,177,266       88.7%        2,849,486    2,310,226   81.1%        3,056,559    2,344,098   76.7%
                         Free State                              1,226,730      1,090,908       88.9%        1,321,195    1,042,120   78.9%        1,388,588    1,069,127   77.0%
                         Gauteng                                 4,158,087      3,662,790       88.1%        4,650,594    3,553,098   76.4%        5,555,159    4,391,699   79.1%
                         KwaZulu-Natal                           3,443,978      2,963,358       86.0%        3,819,864    2,807,885   73.5%        4,475,217    3,574,326   79.9%
                         Limpopo                                 1,847,766      1,658,694       89.8%        2,187,912    1,686,757   77.1%        2,256,073    1,570,592   69.6%
                         Mpumalanga                              1,277,783      1,129,536       88.4%        1,442,472    1,157,963   80.3%        1,696,705    1,363,836   80.4%
                         North West                              1,527,672      1,305,441       85.5%        1,749,529    1,353,963   77.4%        1,564,357    1,135,701   72.6%
                         Northern Cape                             377,173        327,772       86.9%          433,591      329,707   76.0%          554,900      421,490   76.0%
                         Western Cape                            1,864,019      1,587,978       85.2%        2,220,283    1,621,839   73.0%        2,634,439    2,049,097   77.8%
                         Total                        86%      18,177,751     15,903,743        87.5%      20,674,926    15,863,558   76.7%      23,181,997    17,919,966   77.3%



                         Table 2         Voters in local elections, disaggregated by province
                                               1995                          2000                                        2006                                  2011
                                                            Registered        Voted             %       Registered        Voted       %       Registered        Voted       %

                         Eastern Cape                            2,552,287      1,428,259       56.0%        2,908,106    1,630,284   56.1%        3,111,535    1,813,802   58.3%
                         Free State                              1,227,578        602,618       49.1%        1,318,408      622,816   47.2%        1,386,521      767,327   55.3%
                         Gauteng                                 4,375,372      1,891,473       43.2%        4,785,955    2,033,674   42.5%        5,592,676    3,127,671   55.9%
                         KwaZulu-Natal                           3,508,154      1,637,255       46.7%        3,964,817    2,005,008   50.6%        4,648,733    2,865,855   61.6%
                         Limpopo                                 1,419,315        635,427       44.8%        2,145,186      959,971   44.8%        2,341,498    1,172,855   50.1%
                         Mpumalanga                              1,263,004        565,699       44.8%        1,546,728      716,908   46.3%        1,718,309      960,748   55.9%
                         North West                                452,218        260,522       57.6%        1,554,864      709,484   45.6%        1,576,898      845,093   53.6%
                         Northern Cape                           1,758,593        746,698       42.5%          528,657      282,884   53.5%          572,140      363,361   63.5%
                         Western Cape                            1,955,454      1,131,621       57.9%        2,301,371    1,191,880   51.8%        2,706,736    1,748,208   64.6%
                         Total                                 18,511,975      8,899,572        48.1%      21,054,092    10,152,909   48.2%      23,655,046    13,664,920   57.8%


 6 Data format           Numbers, Percentages
 7 Definition            Total population of at least 18 years of age (prisoners voted in 1999 and 2004 but not in the local government elections of 2000 and 2006)
 8 Data source           Report on the National & Provincial Elections 1999/2004, 2006 Independent Electoral Commission (IEC) Annual Report, www.election.org.za




DRAFT                                                                                            Page 52 of 83
 1   Indicator        54 Percentage of women who are members of legislative bodies
 2   Category            Voice and accountability
 3   Goal                To increase the participation and representation of women in legislative bodies
 4   Trend analysis      There is a vast improvement in the representation of women in all three tiers of government since 1994. The representation of women in the National Parliament increased from 27.8% in 1994 to 43,3% in 2009. Similarly, the
                         representation of women in Provincial Legislatures increased from 25,4% in 1994 to 42,4% in 2009 respectively. Even the province that had the lowest representation in 1994, KZN with 13,6% representation, stood at 37,5% in 2009. The
                         Western Cape decreased in 2009 to the province with the least women representation in the Provincial Legislatures in the country. Indeed in the 2009 elections, all provinces met the SADC 1997 Gender and Development target of
                         30%.Local government is also showing good performance; after the 2011 local government elections, female representation on Local Government Councils was at 38,4% compared to 28,2% in 2000.



 5 Data
                         Table 1          Women members of Parliament and Provincial Legislatures
                                                      1994                       1999                       2004                       2009
                                          Female      Total      %    Female     Total     %    Female      Total     %    Female      Total        %
                         Parliament           111        400    27.8%    120        400   30.0%    131         400   32.8%    173         400      43.3%
                         Provincial
                         Legislatures
                         Eastern Cape           13         56   23.2%       15       63   23.8%       21        63   33.3%        28          63   44.4%
                         Free State              7         30   23.3%        7       30   23.3%        8        30   26.7%        12          30   40.0%
                         Gauteng                25         86   29.1%       26       73   35.6%       31        73   42.5%        33          73   45.2%
                         KwaZulu-Natal          11         81   13.6%       22       80   27.5%       21        80   26.3%        30          80   37.5%
                         Limpopo                11         40   27.5%       16       49   32.7%       16        49   32.7%        23          49   46.9%
                         Mpumalanga              6         30   20.0%        8       30   26.7%        9        30   30.0%        12          30   40.0%
                         North West              9         33   27.3%        9       33   27.3%       11        33   33.3%        14          33   42.4%
                         Northern Cape           7         30   23.3%        8       30   26.7%        9        30   30.0%        13          30   43.3%
                         Western Cape           10         42   23.8%       11       42   26.2%       13        42   31.0%        14          42   33.3%
                         Total                 210       828    25.4%      242      830   29.2%      270       830   32.5%       352      830      42.4%

                         Table 2                     Women members of Local Government Councils as per the major Local Government Elections
                                                                               2000                                                                                2006                                                                        2011
                                          Proportional                                                                       Proportional                                                                  Proportional
                                          Representation                         Ward                      Overall           Representation                        Ward                     Overall        Representation                      Ward                     Overall
                         Province          Female     Total      %     Female    Total     %     Female     Total     %     Female     Total       %     Female    Total    %     Female     Total    %     Female    Total    %     Female    Total    %     Female     Total    %
                         Eastern Cape          266       701      37.9     94       601     15.6     360     1,302     27.6     348       743       46.8     236      636    37.1     584     1,379    42.3     349      799    43.7     281      715    39.3     630     1,514    41.6
                         Free State            125       319      39.2     51       291     17.5     176       610     28.9     141       334       42.2     113      300    37.7     254       634    40.1     160      359    44.6      94      317    29.7     254       676    37.6
                         Gauteng               206       479      43.0     86       446     19.3     292       925     31.6     201       454       44.3     190      423    44.9     391       877    44.6     216      542    39.9     199      508    39.2     415     1,050    39.5
                         KwaZulu-Natal         292       858      34.0     97       748     13.0     389     1,606     24.2     341       880       38.8     143      771    18.5     484     1,651    29.3     411      935    44.0     144      828    17.4     555     1,763    31.5
                         Mpumalanga            187       463      40.4     63       401     15.7     250       864     28.9     254       593       42.8     235      513    45.8     489     1,106    44.2     273      628    43.5     226      543    41.6     499     1,171    42.6
                         North West            153       382      40.1     78       327     23.9     231       709     32.6     186       423       44.0     152      365    41.6     338       788    42.9     232      466    49.8     134      402    33.3     366       868    42.2
                         Northern Cape          82       202      40.6     43       173     24.9     125       375     33.3     183       423       43.3     167      365    45.8     350       788    44.4     213      449    47.4     132      383    34.5     345       832    41.5
                         Northern Province     194       499      38.9     57       436     13.1     251       935     26.8      87       205       42.4      92      174    52.9     179       379    47.2      87      215    40.5      71      194    36.6     158       409    38.6
                         Western Cape          122       382      31.9     68       330     20.6     190       712     26.7     148       400       37.0      97      348    27.9     245       748    32.8     144      418    34.4     128      387    33.1     272       805    33.8
                         Total               1,627     4,285      38.0    637     3,753     17.0   2,264     8,038     28.2   1,889     4,455       42.4   1,425    3,895    36.6   3,314     8,350    39.7   2,085    4,811    43.3   1,409    4,277    32.9   3,494     9,088    38.4


 6 Data format           Numbers, Percentages
 7 Definition            Member of national and provincial legislatures; member of Cabinet, Provincial Executive Councils and Local Government Councils as per each major election.
                         PR= Proportional Representation
 8 Data source           Independent Electoral Commission (IEC)




DRAFT                                                                                                                                  Page 53 of 83
 1   Indicator        55 Confident in a happy future for all races
 2   Category            Social cohesion and social capital
 3   Goal                To promote social cohesion and eliminate racism while building the nation.
 4   Trend Analysis      All periods surveyed over 50% of all races are confident in a happy future. Nevertheless, since 2006 confidence levels in a happy future for all races decreased dramatically. The decline in happiness
                         coincides with the onset of the global financial and economic crisis that led to a recession occurring in South Africa for the first time after decades of growth . The lowest points were in 2008/09 where
                         negative growth of -1.8% was experienced. South Africa emerged from the recession in the third quarter of 2009 and confidence in future for all races began to rise from 60% in November 2008 to
                         66% for the November 2010 period. Nevertheless for the November 2011 period the confidence in the happy future for all races decreased to 62%.
 5 Data
                         Table                           Confident in a happy future for all races
                                                               2000                    2001                    2002                    2003                      2004                     2005                     2006                     2007                    2008                 2009                 2010                 2011
                                                           May            Nov      May            Nov      May            Nov      May            Nov          May         Nov          May         Nov          May         Nov          May          Nov         May      Nov         May      Nov         May      Nov         May     Nov
                         Confident in a happy future
                         for all races                         74          69          69          71          70          72          75          78           86          85           86           84          84           80          78           77          62       60          62       66          67       66          65      62
 6 Graph

                                      CONFIDENT IN A HAPPY FUTURE OF ALL RACES


                                     90

                                     85

                                     80

                                     75
                                 %




                                     70

                                     65

                                     60

                                     55
                                            May          Nov        May          Nov        May          Nov        May          Nov        May          Nov         May          Nov         May          Nov         May          Nov         May          Nov     May          Nov     May          Nov     May          Nov
                                                  2000                    2001                    2002                    2003                    2004                     2005                     2006                     2007                     2008                 2009                 2010                 2011




 7 Data format           Percentage
 8 Definition            Proportion of South Africa's adult population who express confidence in a happy future for all races
 9 Data source           Government Communication and Information System (GCIS) based on Markinor data

10 Data note             Markinor's regular surveys, based on a national sample of 3,300, conducted twice a year in two parts namely the Government Performance Barometer (GPB) and Socio Political Trends (SPT). In
                         questions using a Likert (five point) scale, the two positive answers are combined ("very/fairly well" or "very/fairly confident"). Field work for this survey is normally done during April /May and Oct/Nov of
                         each year.




DRAFT                                                                                                                                                                                     Page 54 of 83
 1   Indicator        56 Public opinion on race relations
 2   Category            Social cohesion and social capital
 3   Goal                To promote social cohesion and eliminate racism while building the nation.
 4   Trend analysis      Public opinion about the improvement of race relations in South Africa has been declining from a high of 60% in 2008 to a low of 40% in November 2011. This situation calls for interventions that would improve race
                         relations in South Africa.

 5 Data
                         Table                         Public opinion on race relations
                                                                 2000                    2001                      2002                     2003                     2004                  2005                  2006                 2007               2008                2009                2010               2011
                                                             May            Nov      May            Nov          May         Nov          May          Nov         May       Nov         May       Nov         May       Nov        May      Nov        May       Nov       May      Nov       May       Nov       May     Nov
                         Race relations improving                74          69          40          40           43          44           48           51          60        59          60         59         60        58         57           55     49           50     49          57     46           54     48      40


 6 Graph
                                     PUBLIC OPINION ON RACE RELATIONS

                                      80
                                      75
                                      70
                                      65
                                      60
                                 %




                                      55
                                      50
                                      45
                                      40
                                      35
                                      30
                                            May            Nov        May          Nov        May          Nov         May          Nov         May          Nov     May           Nov     May           Nov     May          Nov    May          Nov    May          Nov   May          Nov    May          Nov
                                                    2000                    2001                    2002                     2003                     2004                  2005                  2006                 2007                2008                2009               2010                2011




 7 Data format           Percentage
 8 Definition            Number of those who were of the opinion that race relations are improving expressed as a proportion of the total population
 9 Data source           Government Communication and Information System (GCIS) based on Markinor data
10 Data note             Markinor's regular surveys, based on a national sample of 3,300, conducted twice a year in two parts namely the Government Performance Barometer (GPB) and Socio Political Trends (SPT). In questions using a
                         Likert (five point) scale, the two positive answers are combined ("very/fairly well" or "very/fairly confident"). Field work for this survey is normally done during April /May and Oct/Nov of each year.




DRAFT                                                                                                                                                        Page 55 of 83
 1   Indicator        57 Country going in the right direction
 2   Category            Social cohesion and social capital
 3   Goal                To promote social cohesion while building the nation
 4   Trend analysis      Public perception of the direction of our country remains steady around 45% in November 2011.




 5 Data                  Table                Country going in the right direction
                                                    Year 1               Year 2                Year 3                  Year 4                Year 5
                         1994-1999                 76.0      62.0       49.0      66.0       57.0       56.0                                43.0      48.0
                         1999-2004                 66.0      60.0       56.0      41.0       48.8       47.5      42.8          47.8        51.8      54.0
                         2004-2009                 73.5      67.6       67.5      65.0       69.0       50.5      59.6          54.3        45.5      38.4
                         2009-2014                 42.8      56.4       55.3      50.0       51.0       45.1


 6 Graph
                                 COUNTRY GOING IN THE RIGHT DIRECTION


                                     80

                                     70

                                     60
                                 %




                                     50

                                     40

                                     30
                                          Year 1               Year 2                    Year 3                 Year 4                      Year 5



                                                                    1994-1999            1999-2004         2004-2009            2009-2014




 7 Data format           Percentage
 8 Definition            Proportion of SA adult population who feel the country is going in the right direction
 9 Data source           Government Communication and Information System (GCIS) based on Markinor data
10 Data note             Markinor's regular surveys, based on a national sample of 3,300, conducted twice a year in two parts namely
                         the Government Performance Barometer (GPB) and Socio Political Trends (SPT). In questions using a Likert
                         (five point) scale, the two positive answers are combined ("very/fairly well" or "very/fairly confident"). Field
                         work for this survey is normally done during April /May and Oct/Nov of each year.




DRAFT                                                                                             Page 56 of 83
 1 Indicator        58 Identity based on self-description
 2 Category            Social cohesion and social capital
 3 Goal                To promote social cohesion and national identity.
 4 Trend Analysis      About half of the people identify themselves as South Africans first before any other form of identity like race,
                       language, etc.




 5 Data                Table                                How South Africans describe themselves (self-description)
                                                                      2004           2007       2008           2009              2010                  2011
                       As an African                                  18.4            25.8      32.6           30.2                                    30.8
                       As South African                               52.8            52.6      45.7           54.1                                    50.8
                       By race group                                      4.1          9.9      11.3                7.1                                 9.1
                       By language group                              13.6             2.6       3.1                1.9                                 3.7
                       Rest of self descriptors                       11.1             9.1       7.3                6.7                                 5.6


 6 Graph                          SELF-DESCRIPTION


                            100%

                               80%

                               60%

                               40%

                               20%

                               0%
                                             2004           2007                  2008           2009                     2010                   2011



                                       As an African   As South African         By race group   By language group           Rest of self descriptors



 7 Data format         Percentage
 8 Definition          First self-descriptors by South Africa's adult population as a form of primary identity
 9 Data source         FutureFact Mindset Surveys
10 Data note           In 2007 there were more categories included compared to 2004, but given that the figure is not very high they
                       have been grouped under "rest of self-descriptors", including "uncertain/don't know" category
                       Data for 2010 is not available




DRAFT                                                                                                                 Page 57 of 83
 1   Indicator        59 Pride in being South African
 2   Category            Social cohesion and social capital
 3   Goal                To promote social cohesion and national identity.
 4   Trend analysis      After a drop from 90% in 2006 to 65% in 2008, the sense of being proud to be South African has improved again to around 90%
                         during the course of 2011.




 5 Data
                         Table                              Pride in being South African
                                                        %        2003        2004          2005   2006       2007          2008   2009                   2010/11
                                                                                                                                         Qrt 1          Qrt 2      Qrt 3     Qrt 4

                         Pride in being South African               84         90           90     90          78           65     75      92             87          90       90


 6 Graph



                                   100
                                    95
                                    90
                                    85
                                    80
                            %




                                    75
                                    70
                                    65
                                    60
                                    55
                                    50
                                               2003               2004              2005          2006              2007          2008           2009              2010/11




 7   Data format         Percentage
 8   Definition          Percentage of those surveyed who take pride to be South African
 9   Data source         Government Communications' (GCIS) National Tracker Survey 2003-2009 and 2011
10   Data note           The GCIS tracker survey is conducted on a weekly basis and results presented on a quaterly basis. The survey has a cumulative
                         sample of 3 840 until mid 2010. From Mid 2010 to mid 2011, the annual sample size is 9 600 with 2 400 respondents interviewed
                         on a quarterly basis.



                                                                 2003        2004          2005   2006       2007          2008   2009   2011
                         Pride in being South African               84         90           90     90          78           65     75      90




DRAFT                                                                                                    Page 58 of 83
 1   Indicator        60 Victims of crime
 2   Category            Public safety
 3   Goal                To reduce the level of crime
 4   Trend analysis      The recent statistics contained in the 2011 Victims of Crime Survey show that in general the percentage of households who experienced at least one incident of identified
                         crime has declined in line with the decline of the said crimes. The exception is in relation to housebreaking/burglary and car theft where the percentage has risen despite the
                         fall in the levels of these crimes. There is an improvement in the feeling of safety among the South Africans.

 5 Data                  Table 1) The Percentage of households who experienced at least one incident of crime by type of crime: 1998-2010
                         Households Crime                            1998         2003         2007        2010     Changes 2010/1998      Changes 2010/2003     Changes 2010/2007
                         Car theft                                     1.2          1.0          1.3          0.7                 -0.5                  -0.3                   0.6
                         Housebreaking/burglary                        7.2          7.5          7.2          4.5                 -2.3                  -2.6                   0.3
                         Theft of livestock                            4.9          2.5          1.8          1.4                 -3.5                  -1.1                  -0.4
                         Theft of crops                                  *          0.7          0.1          0.3                    *                  -0.4                   0.2
                         Murder                                        0.5          0.2          0.4          0.1                 -0.4                  -0.1                  -0.3
                         Theft from car                                2.5          2.5          1.9          1.3                 -1.2                  -1.2                  -0.6
                         Deliberate damaging of dwellings              1.1          0.9          0.4          0.4                 -0.7                  -0.5                    0
                         Motor vehicle vandalism                       1.3          1.3          0.7          0.6                 -0.6                  -0.6                    0


                         Table 2) Peception of changes in violent crime levels during the
                         period 2008 to 2010 in the household's place of residence by
                         province

                                                                                          Stayed the
                         Province                                Increased    Decreased        same
                         Eastern Cape                                38.2          36.4        25.4
                         Free State                                  42.5          34.1        23.4
                         Gauteng                                     22.5           52         25.5
                         Kwazulu-Natal                               30.7          44.8        24.4
                         Limpopo                                     38.4          33.6        28.1
                         Mpumalanga                                  29.5          49.5          21
                         North West                                  36.2          41.1        22.8
                         Northern Cape                               33.8          25.9        40.3
                         Western Cape                                37.3           29         33.1
                         South Africa                                32.1          41.8        26.1




6 Graph                                                                          Victims of crime

                                      8
                                      7
                                      6
                         Percentage




                                      5
                                      4
                                      3
                                      2
                                      1
                                      0




                                                                       1998       2003       2007      2010


 7   Data format         Percentages
 8   Definition          The Percentage of households who experienced at least one incident of crime by type of crime : 1998-2010
 9   Data source         Statistics South Africa Victims of Crime Survey, 2011
10   Data note           This table exclude home robbery since it was categorised differently in the previous surveys. * Crime type not covered in 1998 survey
1 Indicator      61 Number of all crimes
2 Category          Public safety
3 Goal              To reduce the level of overall serious crime by between 4 to 7% by 2014
4 Trend analysis    Recent crime statistics show that although serious crime rates are falling, the crime rate remains unacceptably high. Government initiatives like gun amnesty programmes to reduce the number of weapons in
                    circulation, there is an upward trend in crime rates for fire-arms, alcohol and drugs. This is desirable result because it implies that fire-arms that could be used in the commission of serious crimes are taken out of
                    circulation. Similarly, the confiscation of alcohol and drugs, which are often a factor in the commission of crime, may result in less crimes being committed.



 5   Data                Table                        All crim es rate - per 100 000 of population
                                                         1994/95        1995/96     1996/97     1997/98       1998/99       1999/00         2000/01      2001/02         2002/03       2003/04        2004/05       2005/6      2006/07         2007/08   2008/09    2009/10      2010/11

                         Property Crimes                 1,689.1       1,693.4      1,591.3      1,615.9       1,684.8          1,679.0     1,686.4       1,623.3        1,605.4        1,434.3        1,282.0      1,217.1      1,154.7        1,090.0   1,093.0    1,122.0      1,069.0
                         Contact Crimes                  1,625.8       1,656.3      1,618.5      1,624.4       1,675.1          1,790.7     1,901.9       1,873.9        1,951.7        1,910.5        1,818.8      1,612.6      1,541.1        1,447.4   1,405.3    1,371.4      1,277.2
                         Theft and commercial crime      1,328.9       1,293.4      1,229.9      1,277.3       1,356.1          1,463.9     1,588.4       1,569.7        1,640.1        1,582.8        1,409.7      1,175.8      1,144.4        1,102.5   1,134.5    1,096.7      1069.9
                         Damage to property and arson 346.0              352.0        344.7        331.4         331.5           334.3        339.7         344.0          365.8          360.2          341.3       324.0            319.1       301.7      289.9        281.5     263.8
                         Fire-arms, alcohol and drugs     212.9          182.8        191.3        205.4         188.8           197.5        195.1         207.4          201.9          225.1          277.8       303.4            331.9       357.5      384.9        430.5     463.7
                         Total crim es                   5,202.7       5,177.9      4,975.7      5,054.4       5,236.3          5,465.4     5,711.5       5,618.3        5,764.9        5,512.9        5,129.6    ######### #########           4,299.1   4,307.6    4,302.1      4,143.6



                        220%
6 Graph
                        200%                      Property Crimes          Contact Crimes          Theft and commercial crime             Damage to property and arson             Fire-arms, alcohol and drugs        Total crimes

                        180%

                        160%

                        140%

                        120%

                        100%

                         80%

                         60%

                         40%
                           1994/95         1995/96        1996/97       1997/98        1998/99       1999/00        2000/01           2001/02         2002/03       2003/04           2004/05          2005/6       2006/07           2007/08      2008/09      2009/10       2010/11



 7 Data format           Ratio of all crimes per 100 000 of the population
 8 Definition            All crime refers to serious crimes reported and recorded by police
 9 Data source           South African Police Service (SAPS) annual reports and Crime Statistics
10 Data note             The graph is based on change-over-time series using 1994/95 as base year for calculating change over time, while the table uses ratio of crimes committed per 100 000 of the population.




                                                      1994/95         1995/96       1996/97      1997/98      1998/99       1999/00         2000/01      2001/02         2002/03       2003/04        2004/05       2005/6      2006/07         2007/08   2008/09    2009/10      2010/11
                         Property Crimes                100%            100%           94%          96%         100%           99%            100%          96%             95%           85%            76%          72%          68%             65%       65%        66%          63%
                         Contact Crimes                 100%            102%          100%         100%         103%          110%            117%         115%            120%          118%           112%          99%          95%             89%       86%        84%          77%
                         Theft and commercial crime     100%             97%           93%          96%         102%          110%            120%         118%            123%          119%           106%          88%          86%             83%       85%        83%          83%
                         Damage to property and arson 100%              102%           98%          96%          96%           97%             98%          99%            106%          104%            99%          94%          92%             87%       84%        81%          75%
                         Fire-arms, alcohol and drugs   100%             86%          105%          96%          89%           93%             92%          97%             95%          106%           130%         143%         156%            168%      181%       202%         254%
                         Total crim es                  100%            100%           96%          97%         101%          105%            110%         108%            111%          106%            99%          89%          86%             83%       83%        83%          80%




DRAFT                                                                                                                                                                                                                                                                                       Page 60 of 83
 1   Indicator        62 Contact crime
 2   Category            Public safety
 3   Goal                To reduce contact crimes by 2014 with the major focus being on crime prevention and combating, integrated law-enforcement operations and the reduction of repeat offending.
 4   Trend analysis      There is a downward trend in all the levels of contact crime. According to some studies, most of the contact crimes, especially assaults and murder, involve interpersonal violence between victim and offender known
                         to one another and are linked to negative socio-economic factors such as alcohol abuse and dysfunctional families. This poses a challenge regarding police efforts to prevent and combat these crimes. However,
                         despite this challenge, the continuous drop in most categories of contact crime including murder and attempted, could be attributed to crime prevention actions like increased police visibility.



 5 Data                  Table                        Contact Crimes rate - per 100 000 of population
                                                           1995/96      1996/97       1997/98      1998/99        1999/00      2000/01      2001/02       2002/03     2003/04      2004/05       2005/06       2006/07        2007/08       2008/09   2009/10   2010/11

                         Murder                               67.9          62.8         59.5            59.8         52.5         49.8         47.8         47.4         42.7          40.3         39.5            40.5         38.6         37.3      34.1      31.9
                         Attempted Murder                     67.9          70.4         68.4            70.4         65.4         64.4         69.8         78.9         64.8          52.6         43.9            42.5         39.3         37.6      35.3      31.0
                         Common Assault                      520.5        500.3         489.0           485.0        538.9        569.7        584.3        621.6        605.7        575.0         485.3           443.2        413.9        396.1     400.0     371.8
                         Assault Grievous Body Harm          563.7        570.4         570.4           566.3        608.1        630.2        589.1        585.9        560.7        535.3         484.0           460.1        439.1        418.5     416.2     397.3
                         Sexual Offences                                                                                                                                 142.5        148.4         145.2           137.6        133.4        144.8     138.5     132.4
                         Aggravated Robbery                  195.0        163.0         177.5           220.6        229.5        260.3        260.5        279.2        288.1        272.2         255.3           267.1        247.3        249.3     230.6     203.0
                         Common Robbery                      115.4        124.9         133.4           154.7        173.5        206.5        201.3        223.4        206.0        195.0         159.4           150.1        135.8        121.7     116.7     109.8


                         Table                        Provincial Contact Crime
                                                            Assault GBH              Common Assault             Aggravated Robbery         Common Robbery             Sexual offences            Attempted Murder                  Murder
                                                        2009/ 2010   2010/ 2011    2009/ 2010   2010/ 2011      2009/ 2010   2010/ 2011   2009/ 2010   2010/ 2011   2009/ 2010   2010/ 2011    2009/ 2010   2010/ 2011      2009/ 2010   2010/ 2011
                         Eastern Cape                          485        456.8         260.4           246.0        145.5        154.9         81.1         82.5        136.1        139.1          29.2            25.5         48.4         47.3
                         Free State                          542.5        546.6         655.2           634.9        171.2        171.8        102.5         99.0        157.8        171.3          29.1            27.3         31.4         34.1
                         Gauteng                             466.1        416.4         559.8           486.8         449         357.9        190.9        162.7        148.6        125.0          45.6            36.7         48.4         29.1
                         KwaZulu-Natal                       295.6        287.3         315.6           303.1        222.4        183.9         76.4         68.8         127         120.2          44.2            36.8         40.4         35.2
                         Limpopo                             254.8        237.8           171           149.3         56.8         50.8         62.9         57.5         93.8          89.8         13.9            12.0         14.6         12.2
                         Mpumalanga                          439.8        399.0         310.6           285.8        183.3        153.4         110          98.0        127.6        122.8           34             22.7         24.3         20.0
                         North West                          421.9        439.9         257.7           243.2        157.1        158.7         87.2         85.6        137.9        147.0          24.3            22.0         48.4         23.2
                         Northern Cape                       830.7        815.5         485.7           461.9         90.4         80.7        117.2        106.5        160.8        169.2           62             58.8         33.2         31.0
                         Western Cape                        449.2        473.3         642.3           637.0        234.1        234.5        176.8        199.1        180.7        178.0          31.9            41.4         48.4         44.2
                         Total                               416.2        397.3           400           371.8        230.6        203.0        116.7        109.8        138.5        132.4          35.3            31.0         34.1         31.9


 6 Graph                                                                                                            Contact crimes
                                            700.0


                                            600.0


                                            500.0
                                                                                                                                                                                                 Murder
                                                                                                                                                                                                 Attempted Murder
                                            400.0                                                                                                                                                Common Assault
                                  rate




                                                                                                                                                                                                 Assault Grievous Body Harm
                                            300.0                                                                                                                                                Sexual Offences
                                                                                                                                                                                                 Aggravated Robbery
                                            200.0                                                                                                                                                Common Robbery


                                            100.0


                                              0.0
                                                    1995/96 1996/97 1997/98 1998/99 1999/00 2000/01 2001/02 2002/03 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10 2010/11




 7   Data format         Ratio of contact crimes per 100 000 of the population
 8   Definition          Contact crimes reported and recorded by police
 9   Data source         SAPS annual reports and Crime Statistics
10   Data Note           The graph is based on change-over-time series using 1994/95 as base year for calculating change over time, while the table uses ratio of crimes committed per 100 000 of the population.




DRAFT                                                                                                                                     Page 61 of 83
 1   Indicator        63 Drug-Related Crimes
 2   Category            Public safety
 3   Goal                To reduce drug related crime
 4   Trend analysis      Western Cape Province has the highest number of reported cases with 70 588 cases reported during 2010/2011 followed by KwaZulu-Natal with 32 457 cases reported during 2010/11. Generally there is an increase in the number of reported cases
                         across the provinces. This positive outcome could be as a result of the intensification of law enforcement activities as the reporting of drug incidents are mainly dependent on police action.




 5 Data                  Table 1            Reported Cases
                                                     2003/04             2004/05        2005/06            2006/07            2007/08            2008/09           2009/10           2010/11

                         Eastern Cape                   7,893              9,061          7,511              7,231              8,003              8,437             8,946             9,566
                         Free State                     3,550              4,063          5,074              5,462              4,525              4,561             5,110             4,209
                         Gauteng                        9,428             10,722         14,202             12,582             12,742             13,574            14,729            16,457
                         KwaZulu-Natal                 13,599             19,290         23,206             26,228             24,100             23,819            28,693            32,457
                         Limpopo                        1,706              1,786          1,977              2,178              3,198              3,316             4,837             4,634
                         Mpumalanga                     1,314              1,714          1,794              2,068              1,770              1,642             2,041             3,178
                         North West                     3,117              4,383          5,053              5,759              6,610              7,109             7,704             7,166
                         Northern Cape                  2,142              2,550          2,085              2,114              2,201              1,933             2,371             2,418
                         Western Cape                  19,940             30,432         34,788             41,067             45,985             52,781            60,409            70,588
                         Reported cases                62,689             84,001         95,690            104,689            109,134            117,172           134,840           150,673


                         Table 2            Crime Ratio per 100 000 of the population
                                                     2003/04             2004/05        2005/06            2006/07            2007/08            2008/09           2009/10           2010/11
                         Eastern Cape                   114.2              131.4            109              104.9              115.9              128.2             134.6             141.8
                         Free State                     119.6              138.4          171.8              184.6              152.9              158.5             176.1               149
                         Gauteng                        103.7              116.8          152.2              132.1              131.5              129.9             139.9               147
                         KwaZulu-Natal                  139.6              197.2          235.7              264.3              240.7              235.7             274.6             304.9
                         Limpopo                           32              197.2             37               40.6               59.2               62.9               92.5              85.2
                         Mpumalanga                      37.8              197.2           51.7                 59               50.1               45.7               56.6              87.8
                         North West                      93.3              197.2          151.8              170.7              194.7              207.6             223.3             223.9
                         Northern Cape                  200.8              197.2          193.3              193.1              199.7              171.7             206.6               219
                         Western Cape                   443.2              197.2          749.4              864.8              950.1             1003.1            1127.7            1351.3
                         Crime ratio                    135.1              197.2          204.1              220.9              228.1              240.7             273.4             301.4


                         Table 3            Percentage difference on reported cases

                                             2003/04-2004/05    2004/05- 2005/06 2005/06-2006/07   2006/07- 2007/08   2007/08- 2008/09   2008/09- 2009/10   2009/10-2010/11   2003/04-2010/11
                         Eastern Cape                 14.80%            -17.10%          -3.70%            10.70%               5.40%              6.00%             6.90%            21.20%
                         Free State                   14.50%             24.90%           7.60%            -17.20%              0.80%            12.00%            -17.60%            18.60%
                         Gauteng                      13.70%             32.50%         -11.40%              1.30%              6.50%              8.50%            11.70%            74.60%
                         KwaZulu-Natal                41.80%             20.30%          13.00%             -8.10%             -1.20%            20.50%             13.10%           138.70%
                         Limpopo                       4.70%             10.70%          10.20%            46.80%               3.70%            45.90%             -4.20%           171.60%
                         Mpumalanga                   30.40%              4.70%          15.30%            -14.40%             -7.20%            24.30%             55.70%           141.90%
                         North West                   40.60%             15.30%          14.00%            14.80%               7.50%              8.40%            -7.00%           129.90%
                         Northern Cape                19.00%            -18.20%           1.40%              4.10%            -12.20%            22.70%              2.00%            12.90%
                         Western Cape                 52.60%             14.30%          18.00%            12.00%             14.80%             14.50%             16.90%           254.00%
                         Total                        34.00%             13.90%           9.40%              4.20%              7.40%            15.10%             11.70%           140.30%


 7   Data format         Ratio of Drug-related crime per 100 000 of the population
 8   Definition          Drug-related crime reported and recorded by police
 9   Data source         SAPS annual reports and Crime Statistics
10   Data Note




DRAFT                                                                                                                                          Page 62 of 83
 1   Indicator        64 Sexual Offences
 2   Category            Public safety
 3   Goal                To reduce Sexual Offences
 4   Trend analysis      Gauteng is the province with the highest number of reported sexual offences, followed by KwaZulu-Natal. Although there is a downward trend in Gauteng (14.70% reduction), the number of reported cases is unacceptably high.
                         Northern Cape has the lowest number of reported sexual offences. It has been noted that a large portion of sexual offences involve interpersonal relationship between the victim and the offender. The new amended Sexual Offences
                         Act broadened the definition of sexual offences to include sex work, male rape, pornography, public indecency and human trafficking and this makes comparison difficult as those recorded prior December 2007 differ in definition to
                         those recorded after December 2007.


 5 Data                  Table 1            Reported Cases
                                                     2003/04            2004/05         2005/06          2006/07          2007/08           2008/09           2009/10          2010/11

                         Eastern Cape                   8,238              8,626         10,312            9,117            9,087              9,456            9,047            9,380
                         Free State                     4,734              4,972          4,559            4,386            4,396              4,523            4,581            4,838
                         Gauteng                       16,402             16,333         15,676           15,124           15,398             18,176           15,645           13,987
                         KwaZulu-Natal                 11,378             12,122         11,932           11,649           11,355             13,279           13,269           12,793
                         Limpopo                        4,491              5,070          4,671            4,780            4,528              4,675            4,905            4,883
                         Mpumalanga                     4,375              4,674          4,756            4,631            4,169              4,695            4,603            4,442
                         North West                     4,519              4,610          4,546            4,588            4,513              5,021            4,759            4,706
                         Northern Cape                  2,191              2,212          1,993            1,957            1,749              1,917            1,845            1,868
                         Western Cape                   9,751             10,498          9,631            8,969            8,623              8,772            9,678            9,299
                         Reported cases                66,079             69,117         68,076           65,201           63,818             70,514           68,332           66,196


                         Table 2            Crime Ratio per 100 000 of the population
                                                     2003/04            2004/05         2005/06          2006/07          2007/08           2008/09           2009/10          2010/11
                         Eastern Cape                   119.2              125.1          149.6            132.2            131.6              143.7            136.1            139.1
                         Free State                     159.5              169.4          154.3            148.2            148.6              157.2            157.8            171.3
                         Gauteng                        180.4               178             168            158.8            158.9               174             148.6              125
                         KwaZulu-Natal                  116.8              123.9          121.2            117.4            113.4              131.4              127            120.2
                         Limpopo                         84.2               95.5            87.4            89.1             83.8               88.6              93.8             89.8
                         Mpumalanga                     125.8              135.6          137.1              132            117.9              130.8            127.6            122.8
                         North West                     135.3              137.4          136.6              136              133              146.6            137.9              147
                         Northern Cape                  205.4              206.4          184.8            178.8            158.7              170.3            160.8            169.2
                         Western Cape                   216.7              229.9          207.5            188.9            178.2              166.7            180.7              178
                         Crime ratio                    142.5              148.4          145.2            137.6            133.4              144.8            138.5            132.4


                         Table 3            Percentage difference on reported cases
                                                2003/4-2004/5     2004/5- 2005/6   2005/6-2006/7   2006/7- 2007/8   2007/8- 2008/9   2008/9- 2009/10   2009/10-2010/11   2003/4-2010/11
                         Eastern Cape                  4.70%             19.50%         -11.60%           -0.30%            4.10%             -4.30%            3.70%           13.90%
                         Free State                    5.00%             -8.30%          -3.80%            0.20%            2.90%             1.30%             5.60%            2.20%
                         Gauteng                      -0.40%             -4.00%          -3.50%            1.80%          18.00%            -13.90%           -10.60%          -14.70%
                         KwaZulu-Natal                 6.50%             -1.60%          -2.40%           -2.50%          16.90%              -0.10%           -3.60%           12.40%
                         Limpopo                      12.90%             -7.90%           2.30%           -5.30%            3.20%             4.90%            -0.40%            8.70%
                         Mpumalanga                    6.80%              1.80%          -2.60%          -10.00%          12.60%              -2.00%           -3.50%            1.50%
                         North West                    2.00%             -1.40%           0.90%           -1.60%          11.30%              -5.20%           -1.10%            4.10%
                         Northern Cape                 1.00%             -9.90%          -1.80%          -10.60%            9.60%             -3.80%            1.20%          -14.70%
                         Western Cape                  7.70%             -8.30%          -6.90%           -3.90%            1.70%           10.30%             -3.90%           -4.60%
                         Total                         4.60%             -1.50%          -4.20%           -2.10%          10.50%              -3.10%           -3.10%            0.20%


 7   Data format         Ratio of Sexual offenses per 100 000 of the population
 8   Definition          Sexual Offences
 9   Data source         SAPS annual
10   Data Note




DRAFT                                                                                                                         Page 63 of 83
 1   Indicator        65 Property crime
 2   Category            Public safety
 3   Goal                To reduce the levels of property crime
 4   Trend analysis      There is a decrease in property crimes. This may be due to initiatives such as visible policing and targeted patrols. Private individuals also invest in private security
                         services.




 5 Data
                         Table                      Property Crime rate - per 100 000 of population

                                                          1994      1995/96      1996/97      1997/98      1998/99    1999/00   2000/01      2001/02       2002/03   2003/04       2004/05     2005/06   2006/07        2007/08   2008/09   2009/10   2010/11
                         Residential burglary            596.2         628.9       602.9         611.1        652.7     673.4     694.0            675.3     704.0      645.2          592.8     559.9      526.8         497.1     506.5     520.2     495.3
                         Non-residential burglary        225.7         220.8       214.7         219.3        224.5     216.2     209.3            194.4     162.8      139.3          120.3     116.0      123.3         131.7     143.8     145.5     138.2
                         Theft of vehicle                272.8         249.3       239.8         249.2        255.9     239.3     229.0            216.1     204.9      190.0          180.0     183.3      182.1         167.7     156.0     145.5     129.0
                         Theft out of vehicle            472.5         484.7       430.4         435.3        452.5     453.9     459.0            444.6     431.0      370.8          318.8     296.6      267.7         233.4     225.0     245.1     246.2
                         Stock theft                     121.9         109.7       103.5         101.0         98.8      96.2       95.1            92.9     102.7       89.0           70.1      61.3           60.8      60.1      61.7      65.7      60.3


 6 Graph                   130%
                                                    Residential burglary                   Non-residential burglary             Theft of vehicle                Theft out of vehicle               Stock theft
                           120%
                           110%
                           100%
                            90%
                            80%
                            70%
                            60%
                            50%
                            40%
                              1994/95 1995/96 1996/97 1997/98 1998/99 1999/00 2000/01 2001/02 2002/03 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10 2010/11




 7 Data format           Ratio of property crimes per 100 000 of the population
 8 Definition            Property crimes reported and recorded by police
 9 Data source           SAPS annual reports and Crime Statistics
10 Data Note             The graph is based on change-over-time series using 1994/95 as base year for calculating change over time, while the table uses ratio of crimes committed per 100
                         000 of the population.




                         Table                      Property Crime rate - per 100 000 of population
                                                      1994/95       1995/96      1996/97      1997/98      1998/99    1999/00   2000/01      2001/02       2002/03   2003/04       2004/05     2005/06   2006/07        2007/08   2008/09   2009/10   2010/11
                         Residential burglary            100%          105%        101%          102%         109%      113%      116%             113%      118%       108%            99%       94%            88%       83%       85%       87%       79%
                         Non-residential burglary        100%              98%      95%           97%          99%       96%        93%             86%       72%        62%            53%       51%            55%       58%       64%       64%       63%
                         Theft of vehicle                100%              91%      88%           91%          94%       88%        84%             79%       75%        70%            66%       67%            67%       61%       57%       53%       52%
                         Theft out of vehicle            100%          103%         91%           92%          96%       96%        97%             94%       91%        78%            67%       63%            57%       49%       48%       52%       51%
                         Stock theft                     100%              90%      85%           83%          81%       79%        78%             76%       84%        73%            58%       50%            50%       49%       51%       54%       55%




DRAFT                                                                                                                                                                                                                                                           Page 64 of 83
 1   Indicator        66 Aggravated robberies
 2   Category            Public safety
 3   Goal                To reduce level of aggravated robberies
 4   Trend analysis      There is a reduction in aggravated robberies. Visible policing initiatives such as sector policing and targeted patrols may have assisted in the reduction. Private
                         individuals also invest in private security services, thereby complementing police efforts in reducing the levels of aggravated robberies.




 5 Data                  Table                             Selected aggravated robberies - number

                                                                                                                                                                                                                                                  % increase
                                                                                                                                                                                                                                                  /decrease
                                                                                                                                                                                                                                                    09/10 vs
                                                                 2002/03        2003/04                2004/05                    2005/6               2006/07        2007/8                2008/09           2009/10               2010/11             10/11
                         Carjacking                               14,691         13,793                 12,434                    12,825                13,599        14,201                 14,915            13,902                10,627           -23.6%
                         Truckjacking                                 986              901                     930                     829                   892         1,245                  1,437             1,412                    999        -29.2%
                         Robbery of cash in transit                   374              192                     220                     385                   467            396                    386               358                   291        -18.7%
                         Bank robbery                                 127                  54                   58                        59                 129            146                    102                93                    39        -58.1%
                         Robbery at residential premises           9,063            9,351                  9,391                  10,173                 12,761        14,481                 18,438            18,786                   16,889       -10.1%
                         Robbery at business premises              5,498            3,677                  3,320                    4,387                   6,689        9,862                13,920            14,534                   14,667         0.9%




 6 Graph                                                                                                                  Aggravated robberies


                                          100 000


                                           10 000


                                            1 000
                                 number




                                             100


                                              10


                                                1
                                               2002/03      2003/04             2004/05                         2005/6                            2006/07                2007/8                          2008/09                          2009/10               2010/11



                                                                              Carjacking        Truckjacking         Robbery of cash in transit       Bank robbery   Robbery at residential premises      Robbery at business premises




 7   Data format         Number of organised crimes
 8   Definition          Serious robberies reported and recorded by police
 9   Data source         SAPS annual reports and Crime Statistics
10   Data Note




DRAFT                                                                                                                    Page 65 of 83
1    Indicator        67 Detection rate
2    Category            Access to justice: police performance
3    Goal                To improve the Detection rate by South African Police Service(SAPS).
4    Trend analysis      There is a marginal increase in the detection rate of crimes relating to damage to property and firearms, drugs and alcohol. The detection rate for property crimes, other theft and fraud and contact
                         crimes show a . These figures point to the urgency of improving without delay the detection capacity of the police as well as ratcheting up their forensic expertise. Integrated action between police and
                         the prosecution also requires urgent attention.



5 Data
                         Table                        Detection rate for all crimes

                                                          2001/02       2002/03       2003/04   2004/05   2005/06   2006/07   2007/08   2008/09 2009/10     2010/11
                         Property crimes                      14.4          15.0         14.2      15.3      14.8      15.1      15.6      15.4    17.0           15.8
                         Other theft and fraud                                           33.2      41.2      36.1      36.9      38.5      40.7    43.4           40.6
                         Damage to property                   35.2          36.8         40.3      42.2      43.7      44.4      45.4      45.1    47.7           47.8
                         Contact crimes                       39.5          40.6         49.1      51.8      60.0      54.5      54.5      52.5    59.6           57.0
                         Firearms/drugs and alcohol           78.1          85.0         88.0      89.7      92.6      96.3      97.0      97.1    98.4           98.5


                         Table                        Detection rate for contact crime                                                                    Table          Detection rate for property crime
                                                          2004/05        2005/06     2006/07    2007/08   2008/09   2009/10   2010/11                                        2004/05        2005/06      2006/07   2007/08   2008/09   2009/10   2010/11
                         Aggravated robbery                   12.9          12.9         12.3      12.9      13.7      14.8   15. 74                      Theft of motor vehicle6.4            6.7           6.2       6.1       6.8       7.3    7. 97
                         Murder                               26.1          26.7         27.2      27.4      27.2      26.6   26. 84                      Theft out of motor vehicle
                                                                                                                                                                               8.8             8.6           8.5       9.9      10.4      10.4   10. 41
                         Common robbery                       29.3          30.1         30.4      32.6      34.3      35.5   35. 73                      Non residential burglary
                                                                                                                                                                              18.6            18.4         16.6       16.9      17.5      16.7    16. 3
                         Attempted murder                     41.9          42.8         41.8      42.3      41.4      42.0   44. 37                      Residential burglary 20.3           19.8         18.5       19.7      19.9      19.5    19. 4
                         Sexual offences                      55.6          57.0         55.1      61.9      62.4      66.6   71. 66                      Stock theft            23.9         24.4         23.1       24.1      23.8      23.8   24. 27
                         Common assault                       65.9          67.6         69.5      71.5      71.3      72.4    74. 8
                         Assault GBH                          67.3          69.3         71.8      74.1      74.0      74.5   76. 78


 7   Data format         Rate
 8   Definition          Detection rate = (total number of charges referred to court - (withdrawn before court + charges closed as unfounded)) / number of charges investigated
 9   Data source         South African Police Service annual reports. .
10   Data note           Since 2007/08 information on crime statistics as well as indicators 66 and 67 are being drawn simultaneously from the Crime Administration System, the data for 2006/07 as published in the
                         ‘Development indicators 2008’ will differ slightly from the 2007/2008 annual report information where the 2007/2008 data are compared with the revised 2006/2007 data.
 1   Indicator        68 Charges referred to court
 2   Category            Access to justice: police performance
 3   Goal                To improve the effectiveness of the criminal justice system.
 4   Trend analysis      While the figures remain low, there has been a steady increase in the percentage of charges referred to court. In 2004/5 the
                         percentage of charges referred to court in respect of all crimes was 27.2%. In 2010/11 this figure averaged 34.3%. This indicates
                         that the processing of cases is improving. There is a high disposal rate of crimes that depend on police action (drugs, alcohol and
                         firearms related cases). In most of these cases the police would have evidence that they present in the courts and they will be
                         more likely to arrest offenders with evidence.



 5 Table
                         Table                   Charges referred to court
                                                                                                                                                          Charges      %
                                                                     Ongoing             New                                                             referred to
                                                                  Investigations       complaints    Total       Unfounded    Withdrawn    Unresolved       court
                         2004/5
                         Contact crimes                                      202 455      801 830    1 004 285       10,274      216,302       432,250       345 459       34.4%
                         Property crime                                      114 105      581 414     695 519         6,554       30,739       581,431        76 795       11.0%
                         Damage to property                                   21 392      158 966     180 358         3,783       35,073        96,968        44 534       24.7%
                         Firearms, drugs and alcohol                           8 142      129 390     137 532         1,760        4,158        12,959       118 655       86.3%
                         Other theft and fraud                               115 685      653 230     768 915        19,998      100,811       475,975       172 131       22.4%
                         All crimes                                          461 779     2 324 830   2 786 609       42,369      387,083     1,599,583       757 574       27.2%
                         2005/06

                         Contact crimes                                      170 987      742 969     913 956         6,490      140,065       434,272       333 129       36.4%
                         Property crime                                      106 873      570 698     677 571         5,341       21,584       580,107        70 539       10.4%
                         Damage to property                                   16 757      151 887     168 644         2,786       24,472        95,245        46 141       27.4%
                         Firearms, drugs and alcohol                           5 613      142 259     147 872         1,393        2,812         8,937       134 730       91.1%
                         Other theft and fraud                                97 729      551 334     649 063        14,246      251,382       222,001       161 434       24.9%
                         All crimes                                          397 959     2 159 147   2 557 106       30,256      440,315     1,340,562       745 973       29.2%
                         2006/07

                         Contact crimes                                      168 073      704 449     872 522         6,888      116,125       409,508       340 001       39.0%
                         Property crime                                      106 009      547 258     653 267         6,163       18,872       556,704        71 528       10.9%
                         Damage to property                                   16 730      151 194     167 924         2,896       21,297        94,826        48 905       29.1%
                         Firearms, drugs and alcohol                           4 686      157 304     161 990           831        1,873         5,918       153 368       94.7%
                         Other theft and fraud                                99 509      542 342     641 851        11,723       54,453       406,793       168 882       26.3%
                         All crimes                                          395 007     2 102 547   2 497 554       28,501      212,620     1,473,749       782 684       31.3%
                         2007/08
                         Contact crimes                                      159 933      692 550     852 483         7,102       94,988       395,625       354 768       41.6%
                         Property crime                                      102 611      521 513     624 124         6,042       17,603       526,785        73 694
                         Damage to property                                   15 669      144 364     160 033         2,970       18,595        88,860        49 608       31.0%
                         Firearms, drugs and alcohol                           4 518      171 015     175 533           660        1,310         5,336       168 227       95.8%
                         Other theft and fraud                                96 311      527 574     623 885        11,976       48,326       384,556       179 027       28.7%
                         All crimes                                          379 042     2 057 016   2 436 058       28,750      180,822     1,401,162       825 324       33.9%
                         2008/09
                         Contact crimes                                      163 549      684 199     847 748         7,122       96,488       405,173       338 965       40.0%
                         Property crime                                      108 316      532 184     640 500         6,005       17,769       542,152        74 574       11.6%
                         Damage to property                                   16 518      141 107     157 625         3,057       18,386        87,985        48 197       30.6%
                         Firearms, drugs and alcohol                           4 354      187 382     191 736           580        1,295         5,722       184 139       96.0%
                         Other theft and fraud                                99 433      552 371     651 804        11,710       48,455       387,629       204 010       31.3%
                         All crimes                                          392 170     2 097 243   2 489 413       28,474      182,393     1,428,661       849 885       34.1%
                         2009/10
                         Contact crimes                                      130 492      676 445     806 937         8,450       97,198       206,248       353 355       43.8%
                         Property crime                                       60 975      553 368     614 343         6,400       18,860       472,056        76 132       12.4%
                         Damage to property                                   13 607      138 835     152 442         3,091       18,141        64,675        49 983       32.8%
                         Firearms, drugs and alcohol                           3 063      212 321     215 384           452        1,170          797        209 462       97.3%
                         Other theft and fraud                                71 865      540 918     612 783        11,739       49,298       288,385       201 758       32.9%
                         All crimes                                          280 002     2 121 887   2 401 889       30,132      184,667     1,032,161       890 690       37.1%
                         2010/11
                         Contact crimes                                      121 621      638 468     760 089         5,129       95,200       190,351       342 961       43.7%
                         Property crime                                       65 633      534 451     600 084         6,208       18,672       458,595        71 670       11.4%
                         Damage to property                                   11 279      125 327     136 606         2,723       17,506        60,839        46 324       33.4%
                         Firearms, drugs and alcohol                           2 021      231 842     233 863           367        1,132          692        230 257       98.0%
                         Other theft and fraud                                79 084      456 383     535 467        11,303       50,072       301,026       109 540       20.0%
                         All crimes                                          279 638     1 986 471   2 266 109       25,730      182,582     1,011,503       800 752       34.3%


 7 Data format           Number
 8 Definition            Charges referred to court by the SAPS
 9 Data source           SAPS annual reports , Personal Communication
10 Data note
                         Note that the published total number of complaints (Indicator 67) are not the same as the published number of cases in court
                         provided in indicator 68.The Department of Justice & Consitutional Development indicated that this is due to the different dates at
                         which the data was extracted from their information system. Since 2007/08 information on crime statistics as well as indicators 59
                         and 60 are being drawn simultaneously from the Crime Administration System, the data for 2006/07 as published in the
                         ‘Development indicators 2008’ will differ slightly from the 2007/2008 annual report information where the 2007/2008 data are
                         compared with the revised 2006/2007 data.
 1   Indicator           69 Conviction rate
 2   Category               Court system efficiency and effectiveness
 3   Goal                   To improve the effectiveness of the criminal justice system.
 4   Trend analysis         Although cases removed from the court roll are significantly high, there is a downward trend since 2006/07. Conviction rates are also low which may be attributable to
                            inadequate case preparation by both police and the prosecution. Noteworthy however is the sharp increase in the number of diversions which indicates that increasingly
                            the courts prefer to impose other sentencing options as opposed to custodial sentences. The majority of these diversions involve children with conflict with the law.odial
                            sentence. the majority of this diversions involve children with conflict with the law.

 5 Data
                                Table 1                          SAPS data on crime and charges referred to court

                                                                                                                                                                                        Year on year
                                                                        2002/03      2003/04     2004/05     2005/06     2006/07        2007/08     2008/09     2009/10       2010/11         growth
                           1 No of crimes reported to SAPS             2 560 132   2 523 169   2 357 257   2 168 952    2 102 547      2 057 016   2 097 243   2 121 887    1 986 471           -6%
                           2 Charges referred to court                               705 073     757 574     745 973     783 184        825 324     849 885     890 690       800 752          -10%


                                Table 2                          National Prosecutions Authority (NPA) data on steps in court system


                                                                                                                                                                                      year on year
                                                                                                                                                                                           growth
                                                                                                                                                                                        2010/11 vs
                                                                        2002/03      2003/04     2004/05     2005/06     2006/07        2007/08     2008/09     2009/10       2010/11      2009/10
                           3 New cases in court                        1 117 879   1 117 488   1 084 137   1 069 724    1 062 497      1 037 309   1 058 210   1 044 346      962 317           -8%
                           4 Cases disposed                             956 509    1 182 163   1 130 006   1 168 936    1 101 395      1 043 373   1 070 435   1 065 292      996 320           -6%
                         4.1       Cases removed from the roll      534 171          767 675     730 040     757 519     722 361        655 029     638 795     595 751    535 429             -10%
                         4.2       Finalised cases                  422 338          414 488     399 966     411 417     379 034        388 344     431 640     469 541    460 891              -2%
                       4.2.1           Verdict cases                    407 530      396 536     381 020     373 995     334 551        326 506     349 883     350 910       331 045           -6%
                      4.2.1.1          Convictions                      332 056      330 146     322 147     322 687     286 861        284 620     307 089     310 951       293 673           -6%
                       4.2.2           ADRM                              14 808       17 952      18 946      37 422       44 483        61 838      81 757     118 631       129 846            9%
                           5 Cases remaining in the system              188 691      185 423     206 005     198 990     206 508        232 518     234 606     230 477       218 660           -5%


                                Table 3                           Various ratios
                                                                        2002/03      2003/04     2004/05     2005/06     2006/07        2007/08     2008/09     2009/10       2010/11        growth
                                Conviction rate                           81.5%       83.3%        84.5%       86.3%       85.7%          87.2%       87.8%       88.6%        88.7%          0.11%
                                Clearance rate                           -14.4%        5.8%         4.2%        9.3%        3.7%           0.6%        1.2%        2.0%         2.7%            35%
                                Success rate                              44.2%       35.1%        35.4%       35.2%       34.4%          37.2%       40.3%       44.1%        46.3%             5%


 7 Data format                  Number
 8 Definition                   The indicators show the steps in the criminal justice system. Conviction rate is conviction as a percentage of all verdict cases. Clearance rate is the disposed cases as
                                a percentage of new cases.Success rate is the finalised cases as a percentage of cases disposed.
                                 ADRM is Alternative Dispute Resolution Methods


 9 Data source                  1,2 South African Police Service Annual Report, 3-5) National Prosecuting Authority, Communication with Departments


10 Data note                    Note that the SAPS data on charges referred to court cannot be correlated with Npa's data on cases due to definition differences.4.2.1 (Verdict cases) + 4.2.2 (ADRM)
                                = 4.2 (Finalised cases) . 4.2.1.1 (Convictions) + Acquitals(Not presented here) = 4.2.1 (Verdict cases)




DRAFT                                                                                                                               Page 68 of 83
 1   Indicator        70 Total number of inmates
 2   Category            Access to justice
 3   Goal                To provide effective rehabilitation of offenders
 4   Trend analysis      The prison detainee figures show that the number of those detained for between 5 and 10 years from 2006 to 2010 has shown a substantial decrease while those between 15
                         and 20 as well as life sentences has increased sharply. Possible reasons for this could be the imposition of longer sentences as a result of the amendment of relevant
                         legislation and the expansion of the jurisdiction of regional courts thereby enabling them to impose stiffer sentences. Inmates totals decreased in 2009/2010 financial year
                         compared to 2008/2009. There is an overall downward trend in the number of sentenced population. There is an increase in the number of awaiting trial detainees which
                         significantly contributes to overcrowding.

 5 Data
                         Table                                       Prison Detainess
                                                             1994        1995      1996          1997         1998      1999       2000            2001           2002       2003       2004        2005          2006      2007      2008      2009                          2010

                         Sentenced detainees                91 853     86 708     88885         97504     95 835       99692    109 072        115897       125 322       130 940   134 487       122 410       113 711   111 230   109877    114972 113 571
                         Awaiting-trial detainees           22 021     23 412     29514         36698     45 607       54884     57 262          53662       53 996        53 901      51 020      46 971        44 884    47 595    49150     47602             47 350
                         Total                             113 874    110 120    118 399      134 202    141 442      154 576   166 334       169 559       179 318       184 841   185 507       169 381       158 595   158 825   159 027   162 574 160 921


                         Table                                       Sentence categories - average per year
                                                                         1995      1996          1997         1998      1999       2000            2001           2002       2003       2004        2005          2006      2007      2008      2009                          2010

                         Between 5 and 7 Years                         14,392     13,998       14,371     14,339       14,112    13,688         12,994       12,854        12,509      12,240      10,762         8,576     7,704     7,878     8,150                         8,020
                         Between 7 and 10 Years                        12,395     13,735       15,493     16,808       17,820    19,044         20,209       21,174        21,411      21,403      20,010        17,526    15,532    14,672    14,770            14,777
                         Between 10 and 15 Years                         6,099     6,487        7,086         7,848     9,174    11,734         14,516       17,519        20,131      22,161      23,539        23,956    23,292    22,672    22,033            20,625
                         Between 15 and 20 Years                         2,732     2,964        3,297         3,623     4,176     5,137          6,316           7,669      8,948      10,120      10,920        11,375    11,740    12,251    12,597            12,435
                         More than 20 Years                              1,983     2,402        2,862         3,568     4,410     5,395          6,437           7,452      8,312       8,934       9,332         9,583     9,743    10,155    10,583            10,761
                         Life Sentence                                    433        518          638          793       928      1,436          2,313           3,296      4,249       5,284       6,214         6,998     7,574     8,354     9,141                         9,947
 6 Graph

                                         PRISON DETAINEES


                                        143 500                                                                                                                                                                                                30 500

                                        123 000                                                                                                                                                                                                25 500




                                                                                                                                                                                                                                                        sentence categories
                                        102 500                                                                                                                                                                                                20 500

                                         82 000                                                                                                                                                                                                15 500
                            detainees




                                         61 500                                                                                                                                                                                                10 500

                                         41 000                                                                                                                                                                                                5 500

                                         20 500                                                                                                                                                                                                 500

                                             0                                                                                                                                                                                                - 4 500
                                                    1994      1995       1996      1997        1998       1999        2000      2001        2002          2003       2004       2005       2006          2007      2008      2009     2010


                                                                                        Sentenced detainees                            Awaiting-trial detainees                          Between 10 and 15 Years

                                                                                        Between 15 and 20 Years                        More than 20 Years                                Life Sentence




 7 Data format           Number
 8 Definition            Number of inmates in South African prisons, both sentence and unsentenced
 9 Data source           Department of Correctional Services, Annual Report and personal communication




DRAFT                                                                                                                                                                    Page 69 of 83
 1   Indicator        71 Road accidents
 2   Category            Public safety
 3   Goal                To reduce the number of road accidents and fatalities by 5% on a year-to-year basis
 4   Trend analysis      Despite a noteworthy increase in registered motorised vehicles in South Africa, the number of fatalities and road accidents has remained relatively stable. This is probably due to infrastructure developments and intensification of law enforcement
                         by the Security Departments. The amendments to the National Road Traffic Act which places a duty to courts to suspend or disqualify driving licences might serve as a deterrent.




 5 Data                  Table                                                    Road accidents and fatalities
                                                                                         1994          1995            1996          1997         1998                  1999                  2000                  2001        2002        2003                 2004                   2005          2006         2007        2008        2009          2010
                         Motorised vehicles registered                              4,904,223    5,733,497        5,776,424   5,819,351      5,850,566         5,992,057              6,074,201              6,159,679     6,245,392   6,417,484        6,677,239              7,128,791         7,653,044    8,133,723   8,357,564   8,600,031   8,816,366
                         Fatal road accidents (per 10 000 motorised vehicles)            33.20        15.67           13.64          13.44       12.44                 12.40                 11.07                 14.39       16.08       16.11                16.20                  17.00         16.85        15.22       13.50       13.36          12.62
                         Fatalities (per 10 000 motorised vehicles)                      40.70        19.28           17.11          16.71       15.54                 17.77                 14.08                 18.31       19.67       19.51                19.51                  20.48         20.86        18.90       17.20       16.94          16.27

                         Road accidents as a % of motorised vehicle registered            17%          15%             14%            13%          12%                   12%                   11%                  14%         16%         16%                   16%                    16%            16%        15%         13%         13%            12%
                         Fatal road accidents                                           8,140         8,335          7,850       7,790          7,260                 7,342                  6,679                 8,802      9,973      10,197              10,607                 11,736         12,456       12,011      10,805       10,857      10,837
                         Road fatalities                                                9,981       10,256           9,848       9,691          9,068               10,523                   8,494             11,201        12,198      12,353              12,772                 14,135         15,419       14,920      13,768       13,768      13,967
                         Road traffic offence index                                          -             -              -              -              -                      -                        -              -        16.7        11.4                  10.1                     8.4          7.7         4.7         6.8         5.6            4.2


 6 Graph
                                     ROAD ACCIDENTS AND FATALITIES

                                     23

                                     20

                                     18

                                     15
                              rate




                                     13

                                     10

                                     8

                                     5
                                      1995               1996              1997          1998              1999               2000              2001                        2002                            2003             2004            2005                         2006                   2007             2008            2009            2010
                                                                                                                                                                                         Years
                                                                                                                                                 Fatal road accidents (per 10 000 motorised vehicles)                                              Fatalities (per 10 000 motorised vehicles)




 7 Data format           Number, Rate, Percent and Index
 8 Definitions           Fatalities refer to road accidents which resulted in death; fatal road accidents refer to motor vehicle crashes in which at least one person was killed.
                         Road traffic offence index refer to a combination of critical offences (speed, alchol and some driver and vehicle fitness aspects) expressed in terms of preset standards for the various offences.
 9 Data source           Road Traffic Management Corporation (RTMC)




DRAFT                                                                                                                                                 Page 70 of 83
 1   Indicator        72 Peace operations
 2   Category            Peace, security and stability
 3   Goal                To promote peace, security and stability in the region and continent
 4   Trend analysis      South Africa remains a significant actor and major contributor in peacekeeping operations on the continent and elsewhere in the world. Deployment of South African National Defence
                         Force observers, police and civilian officers in Africa is a clear indication of the South African government’s commitment to peace and stability on the continent. South Africa also
                         continued to render humanitarian support to a number of countries during disasters and electoral support. South Africa also plays a role in supporting post-conflict reconstruction and
                         development processes: capacity-building, financial, administrative and technical assistance.




 5 Data                  Table                                                             South Africa's involvement in Peacekeeping Operations in Africa
                                                                                              2000      2001     2002      2003     2004      2005     2006      2007    2008    2009    2010    2011
                         MONUC (DRC)                                                              1      113       161    1,430     1,430    1,230     1,242     1,248   1958    1198    1267    1267
                         IEMF (DRC)                                                                                          22
                         TPVM (DRC)                                                                                  3        3
                         Training of Armed forces (DRC)                                                                                                                                            12
                         Advosiry team to Armed Forces (DRC)                                                                                                                                       12
                         UNMEE (Eritrea and Ethiopia)                                             3        6         6        6        10        6           6      6       1
                         OLMEE (Eritrea and Ethiopia)                                             2        2         5        5         4        1           1      1       1
                         SAPSD (Burundi)                                                                 701       750
                         AMIB (Burundi)                                                                                   1 500
                         ONUB (Burundi)                                                                                             1 100      930       865
                         BINUB (Burundi)                                                                                                                            1
                         AUPF (Burundi)-AUSTF (Burundi)                                                                               337      337       337      750     950    1042
                         UNMIL (Liberia)                                                                                                3        3
                         UNMIS (Southern Sudan)                                                                                                                     4       4
                         AMIS (Southern Sudan)                                                                                         10      339       620      620
                         UNAMID (Sudan-Darfur)                                                                                                                    651     614             786     850
                         Southern Sudan-Uganda                                                                                                                      2               2     154       0
                         Deployment of forces to minimise threat of piracy on East coast
                         of Africa (Mozambique)                                                                                                                                                   174
                         Total number of personnel deployed                                     118      870       925    7,966     2,894    2,846     3,071     2,632   3,054   2,242   2,207   2,141
                         CENTRAL AFRICAN REP (CAR)                                                                                                                         66            2207      83
                         NEPAL                                                                                                                                      5       1              44       0
                         OTHER PEACE OPERATIONS                                                                                                                     2       2       3       2


 7 Data format           Number of Personel Deployed in Peacekeeping Operations on the African Continent
 8 Definition            Peacekeeping incorporates a complex model of many elements such as military, police and civilians, working together to help lay foundations of a sustainable peace, with the purpose to
                         maintain ceasefires, implementation of comprehensive peace settlements and the protection of humanitarian operations (Chapter VI of the United Nations Charter). Tasks such as the
                         protection of civilians in imminent threat of physical violence are mandated under Chapter VII of the United Nations Charter.

 9 Data source           Department of Defence and Military Vetarans - Joint Operations Division
10 Data Note             The data that have been provided reflects the maximum number of personnel that were deployed in the specific peacekeeping operations during the specific year. Other peace operation
                         includes special envoys in Burundi, Sudan and Uganda.




DRAFT                                                                                                             Page 71 of 83
 1   Indicator        73 Democractically elected governments in Africa
 2   Category            Consolidation of democracy, and the promotion of peace, security and stability in Africa
 3   Goal                To contribute towards a peaceful, democratic African continent, which contributes to a world that is just and equitable.
 4   Trend analysis      In 2009 there was a decline in the number of democratic governments in Africa as compared to the 2006-2007. Clearly more efforts are required to improve democratic practices in
                         the continent such as ensuring that governments are elected via free and fair elections.




 5 Data
                         Table                       Democratically elected governments in Africa
                                                       1991     1992      1993    1994     1995       1996       1997        1998       1999    2000   2001   2002   2003   2004   2005    2006     2007     2008   2009

                         No of governments                52       52       52       53       53          53          53          53      53      53     53     53     53     54     54      54       54       54       54
                         Democratic governments            8        9       13       16       16          18          19          19      20      22     23     26     29     30     33      35       35       33       32
                         %                               15%     17%      25%       30%      30%      34%         36%        36%         38%    42%     43%   49%    55%    56%    61%     65%      65%      61%       59%

 6 Graph
                                       DEMOCRATIC GOVERNMENTS IN AFRICA
                                      40
                                      35
                                      30
                                      25
                             number




                                      20
                                      15
                                      10
                                      5
                                      0
                                           1991   1992    1993     1994      1995     1996         1997        1998        1999        2000    2001    2002   2003   2004   2005    2006     2007     2008      2009


 7 Data format           Number of countries that held elections
 8 Definition            A formal process by which voters make their political choices on public issues or candidates for public office
                         Eisa.org, Consultancy Africa Intelligence, International Foundation for Electoral Systems Election Guide, Communication with South Africa's Department of International
                         Relations and Co-operation
 9 Data source




DRAFT                                                                                                 Page 72 of 83
1 Indicator        74 Real GDP growth in Africa
2 Category            Economic development
3 Goal                To realise an increase in the GDP growth of the continent to meet millennium development goals (2015)
4 Trend analysis      Africa, which is mainly dependent on minerals and commodity exports for revenue weathered the global economic crisis
                      of the 2008/09 financial years, where recession curbed growth in many developing countries. The growth is positive and
                      on the rise again in 2010/11.For example, the total GDP growth for the African region increased from 2.8% in 2009 to
                      5.6% in 2011.




5 Data                Table                              Real GDP growth in Africa
                                                       % 2004-2008      2003       2004                      2005           2006           2007              2008          2009               2010       2011
                      Sub-Saharan Africa                             6.5            5.0            7.1           6.3          6.5              7.0             5.6             2.1              4.7       5.8
                      North Africa                                                  5.6            4.7           4.9          5.6              5.5             5.3             3.7              4.6       5.1
                      Total African region                                          5.3            6.1           5.8          6.3              6.5             5.5             2.8              4.7       5.6


                      Oil importing countries                        5.5            3.5           5.1            5.7          6.1              5.9             4.9             1.2              3.8       5.3
                      Oil exporting countries                        8.5            8.3          11.2            7.6          7.4              9.2             7.0             3.8              6.5       6.8
                      Middle income countries                        4.9            3.2            4.8           4.9          5.6              5.4             3.6             -1.8             2.8       3.7
                      Low income countries                           6.9            5.4            6.1           7.3          7.4              7.0             6.9             4.9              5.1       7.5
                      Fragile countries                              3.4            1.2            3.3           3.7          3.0              3.2             3.9             2.9              3.7       4.8


                                                                                        REAL GDP GROWTH IN AFRICA
6 Graph
                              8.0
                                                                                        REAL GDP GROWTH IN AFRICA
                              6.5
                              12.0
                              5.0
                              10.5

                                9.0
                              3.5
                                7.5
                              2.0
                          %




                                6.0
                         %




                              0.5
                                4.5

                                 3.0
                              -1.0
                                 1.5
                              -2.5
                                  2003
                                 0.0              2004                2005                 2006                  2007                   2008                 2009                     2010              2011
                                2004-2008         2003              2004               2005               2006           2007                  2008             2009                   2010            2011

                                             Middle income countries Oil exporting countries
                                                                                   Low income countries            income countries
                                                                                                            Middle Sub-Saharan Africa                   Low income countries
                                                                                                                                                      Total African region              North Africa
                                                                     Fragile countries                      Sub-Saharan Africa




 7   Data format      Average percentage per region
 8   Definition       All goods and services produced within a country (a good measure for the size of an economy)
 9   Data source      International Monetary Fund World Economic Outlook database (www.imf.org)
10   Data note        2010 and 2011 figures are projected



                                                                                                                        Page 73 of 83
 1   Indicator                 75 Sustainable tourism
 2   Category                     Bilateral political and economic relations
 3   Goal                         To increase foreign tourism to South Africa and create conditions for sustainable tourism growth.
 4   Trend analysis               South Africa received a lot of exposure before and after the 2010 FIFa World Cup Tourism and this led to the aggressive growth in foreign tourism to South Africa. Even though the
                                  Tourism sector continues to contribute significantly to the South African economy and outperforms most economic sectors in terms of entrepreneurial opportunities and the creation of
                                  jobs, there was a decline in the total number of people employed by the tourism industry and tourism direct employment in 2009, meaning that the increase in tourists has not translated
                                  to job creation in 2009. In 2010 South African tourism recorded growth that is above the average global growth as reported by UNWTO.



 5 Data                           Table                                                  Tourism in South Africa
                                                                                               2002        2003                2004          2005          2006           2007          2008        2009            2010

                                  Foreign travelers

                                1 Arrivals                                                  6,549,916     6,640,095      6,815,196       7,518,317     8,508,805     9,207,697     9,728,860 10,098,306       11,574,540

                                2 Foreign tourists                                                                                                                                              7 011 865      8 073 552

                                  Employment

                                3 Direct Tourism employment as a % of total SA Employment                                                    4.0%          4.1%           4.2%          4.4%        4.1%

                                4 Travel and tourism direct industry employment                                                           507,384       553,712       569,688       609,021      547,934

                                5 Travel and tourism economy employment                                                                   872,700       933,600       946,800       993,400      919,800        869,300

                                6 Economic contribution
                                  Tourism direct gross domestic product (TDGDP)   R'bn                                                        44.9          52.3           59.8          67.2        68.8

                                  TDGDP as % of GDP                                                                                          2.9%          3.0%           3.0%          3.0%        2.9%

 6 Graph                                                                                                                     Tourism in South Africa


                                 14,000,000                                                                                                                                                                                           80

                                 12,000,000                                                                                                                                                                                           70

                                                                                                                                                                                                                                      60
                                 10,000,000
                                                                                                                                                                                                                                      50
                                  8,000,000




                                                                                                                                                                                                                                           R'million
                      number




                                                                                                                                                                                                                                      40
                                  6,000,000
                                                                                                                                                                                                                                      30
                                  4,000,000
                                                                                                                                                                                                                                      20

                                  2,000,000                                                                                                                                                                                           10

                                              0                                                                                                                                                                                       0
                                                      2002               2003               2004                  2005                   2006                 2007                  2008               2009                    2010


                                                                      Arrivals           Travel and tourism direct industry employment               Travel and tourism economy employment             Economic contribution



 7 Data format                    Numbers, Rands in billion
 8 Data source                    1. Statistics South Africa, Tourism 2010 Report no 03-51-02(2010) Page 16.
                                  2. South African Tourism Annual Tourism report 2010
                                  3, 4. Statistics South Africa's National accounts , Tourism satellite accounts (Final 2005;2006 and 2007, Provisional 2008 and 2009)
                                  5. World Travel and Tourism council (WTTC): 2010 Travel and Tourism Economic Impact Report.
                                  6. Statistics South Africa's National accounts , Tourism satellite accounts (Final 2005;2006 and 2007, Provisional 2008 and 2009)


 9 Definition                     UNWTO (United Nations World Tourism Organisation) defines a traveller as someone who moves between different geographical locations for any purpose or duration. A foreign
                                  traveller refers to a traveller who is not a South African citizen or permanent resident. Total employment in the tourism industry refers to employees who supply goods and services to
                                  both tourists and non tourists while Tourism direct employment refers to employees who are directly engaged producing goods and services consumed by tourists only.

                                  Foreign tourist is any visitor travelling to a place other than that of his /her usual environment for more than one night but less that twelve months, and whose main purpose of the trip is
                                  other than the exercise of an activity remunerated from within the place visited

10 Data note                      The tourism industries supply goods and services to both tourists and non tourists
                                  Economic contribution figures released by StatsSA not yet available for 2010




DRAFT                                                                                                                                                        Page 74 of 83
 1 Indicator        76 Mission operations and diplomats trained
 2 Category            Bilateral political and economic relations
 3 Goal                To conduct and co-ordinate South Africa’s international relations and promote its foreign-policy objectives
                       To promote and protect, through bilateral and multilateral interactions, South Africa's national interests and values

 4 Trend analysis      There is an increase in the number of diplomatic relations forged to date. During 2001/02 the numbers of diplomatic missions were 91
                       and this has increased to 125 in 2010/11. The increase has been mainly in Africa in line with government’s policy of contributing to the
                       creating of a better Africa and better world. Foreign language training of cadets and diplomats has also increased from 44 in 2004 to
                       980 in 2010.



 5 Data                Table 1                            Mission operations

                                                              2001/02         2002/03      2003/04       2004/05       2005/06    2006/07    2007/08      2008/09       2009/10     2010/11
                       Africa                                       27             28             32              37        38        39         43           46            46           47
                       Latin America                                10             10             10              10        10        11         11           11            11           11
                       Asia/ Australasia                            22             26             27              27        28        30         31           32            32           32
                       North America                                 6             6               6              7          7         7           7           7             7            7
                       Europe                                       26             26             26              26        26        27         27           28            28           28
                       All Missions                                 91             96             101        107           109       114        119          124           124          125


                       Table 2                            Diplomats trained
                                                                                                            2004         2005       2006       2007         2008          2009          2010
                       Foreign Service/Diplomatic training: Foreign Affairs                                       47        59        69         93          130           133           83
                       Heads of Mission training                                                                  17        20         8         15           14            19           18
                       Foreign Language training                                                                  44        95        82        256          817           747          980



                                                                                                        All Missions
                                    140

                                    120

                                    100

                                     80
                           Number




                                     60

                                     40

                                     20

                                     0
                                           2001/02      2002/03          2003/04        2004/05         2005/06        2006/07     2007/08      2008/09       2009/10         2010/11




 7 Data format         Number of missions opened between 2004 and 2007/08: 12
 8 Definition          Training that is offered to officials in preparation for Foreign Services and Heads of Mission
                       (Ambassadors , High Commissioners and Consul-Generals) who have been appointed to represent government in enhancing and
                       promoting relations with other governments. It also includes officials who are sent to represent South Africa at the various multilateral
                       fora including the UN, AU, SADC and other international fora. International traiinng programmes include Foreign Service training,
                       language and other international programmes

10 Data source         1) Department of International Relations and Cooperation's Property and Facilities Management Chief Directorate

11 Data Note           No new missions were opened during the 2009/10 financial year.




DRAFT                                                                                                                        Page 75 of 83
 1   Indicator        77 International Agreements
 2   Category            Bilateral political and economic relations
 3   Goal                To conduct and co-ordinate South Africa's international relations and promote its foreign policy objectives
 4   Trend analysis      South Africa's relations in various regions of the world have been sustained and enhanced through the signing of
                         several bilateral, trilateral and multilateral agreements. The number of International agreements has increased in 2010.
                         The conclusion, review, and implementation of a range of agreements has allowed South Africa to meet specific
                         objectives that underpin South Africa's national, regional and continental interests.




 5 Data                  Table               South Africa's International Agreements
                         Number per year       2000     2001      2002     2003   2004      2005        2006     2007   2008     2009     2010
                         Multilateral             12       13         8      10      2         4           9        7     11        4        6
                         Bilateral               125      108        97      92    109       120         102       85     69       67       80

 6 Graph
                                 SOUTH AFRICA'S INTERNATIONAL AGREEMENTS

                                 140

                                 120

                                 100

                                  80
                            no




                                  60

                                  40

                                  20

                                   0
                                           2000     2001       2002       2003       2004          2005          2006     2007          2008     2009   2010


                                                                                         Multilateral     Bilateral


 7 Data format           Treaties, conventions, protocols, MOU, convenant
 8 Definition            International agreements concluded by South Africa with one or more states/ organisations
 9 Data source           Official Treaty Register of the Republic of South Africa, Data supplied by Department of International Relations and
                         Cooperation


DRAFT                                                                   Page 76 of 83
 1   Indicator      78 Tax returns
 2   Category          Government effectiveness
 3   Goal              To strengthen the revenue-collection capacity of government.
 4   Trend analysis    The main contributors to the total revenue of 2010/11 were personal income tax, corporate income tax, Value Added Tax and other tax types. Total revenue collected increased from the previous
                       year and reached an all time high. A significant increase in Value Added Tax occurred.




 5 Data                 Table                             Tax Register and Revenue Collection ( Nominal Rand)
                                                                   1996/97     1997/98      1998/99     1999/00                  2000/01        2001/02        2002/03          2003/04        2004/05           2005/06        2006/07        2007/08      2008/09      2009/10        2010/11

                        Annual tax relief                  R'bn         2.40               0.91                       3.57           8.48         9.06           15.17             15.06          2.30               9.38        19.30           12.40        10.50        4.58          0.45
                        Income Tax register                  no    3 166 795          3 568 089   3 671 130      3 941 375      4 094 271    4 623 870       5 102 227         5 608 223     6 085 436          6 624 767     7 221 932       7 895 468   8,487,502   8,131,422    13,413,941
                        Personal Income Tax                                                                                                                 3,415,432         3,777,005     4,115,293          4,476,261     4,764,105       5,204,805    5,540,646   5,920,612    10,346,175
                        Corporate Income Tax                                                                                                                  814,894           817,381       933,136          1,054,969     1,218,905       1,584,002    1,834,009   1,878,856     2,078,301
                        Trusts                                                                                                                                254,593           283,825       318,967            344,882       374,411         384,747      392,260     331,954       325,198
                        Value Added Tax (VAT)                        606,829           449,257     478,002         424,020       450,630       479,666        506,098           536,281       578,138            633,703       677,153         745,487      737,885     685,523       664,267
                        Revenue collection                 R'bn
                        Personal Income Tax (PIT)                        59.9             68.7        78.2             86.4         86.9           91.0              94.9          99.2              111.7         126.4           141.4         169.5        196.1       205.2             226.9
                        Corporate Income Tax (CIT)                       19.1             21.6        22.8             21.3         30.0           43.0              56.3          61.7               71.6          87.3           120.1         141.6        167.2       134.9             132.9
                        Value Added Tax (VAT)                            35.9             40.1        44.0             48.4         54.5           61.1              70.1          80.7               98.2         114.4           134.5         150.4        154.3       147.9             183.6
                        Other tax types                                  32.4             34.9        39.8             45.2         48.7           57.2              60.6          60.8               73.5          89.1            99.5         111.3        107.5       110.8             130.8
                        Total                                           147.3            165.3       184.8            201.3        220.1          252.3             282.2         302.4              355.0         417.2           495.5         572.8        625.1       598.8             674.2



 6 Graph                                      TAX REGISTER AND REVENUE COLLECTION


                                        800                                                                                                                                                                                                                                15 000 000

                                        700                                                                                                                                                                                                                                13 500 000
                                                                                                                                                                                                                                                                           12 000 000
                                        600
                                                                                                                                                                                                                                                                           10 500 000
                                        500                                                                                                                                                                                                                                9 000 000




                                                                                                                                                                                                                                                                                        number
                            R'billion




                                        400                                                                                                                                                                                                                                7 500 000

                                        300                                                                                                                                                                                                                                6 000 000
                                                                                                                                                                                                                                                                           4 500 000
                                        200
                                                                                                                                                                                                                                                                           3 000 000
                                        100                                                                                                                                                                                                                                1 500 000
                                         0                                                                                                                                                                                                                                  0
                                              1996/97   1997/98       1998/99           1999/00     2000/01          2001/02      2002/03        2003/04            2004/05       2005/06            2006/07       2007/08         2008/09        2009/10      2010/11


                                                          Personal Income Tax (PIT)                Corporate Income Tax (CIT)               Value Added Tax (VAT)                  Other tax types                   Income Tax register



 7 Data format          Number of tax payers and value of revenue in nominal rands
 8 Definition           The income tax register is the sum of individual, companies and trusts registered with SARS for Income Tax. Revenue is the sum of taxes collected in terms of tax laws.
 9 Data source          South African Revenue Service
10 Data note            Total revenue collection is a sum of Personal Income Tax (PIT), Corporate Income Tax (CIT), Value Added Tax (VAT) and Other forms of tax. VAT value added tax is an indirect tax on economic
                        activities. Income tax register included suspence cases from 1996/97 to 2001/02 and excluded suspence cases from 2002/03 until present. Suspence cases are inactive tax cases awaiting
                        deregistration from the tax register.




DRAFT                                                                                                                             Page 77 of 83
 1   Indicator        79 Audits
 2   Category            Government effectiveness
 3   Goal                To promote prudent and responsible use of public resources
 4   Trend Analysis      Overall there has been a slight improvement in the number of national government, provincial government, municipalities and
                         public entities that received unqualified audit opinions in 2009/10 compared to 2008/09. The most notable improvement concerns
                         the number of provincial departments where there has been a decrease in qualified audit opinions. Despite these positive results,
                         there is a lot of work to be done to improve management in government institutions in order to improve audit outcomes.


 5 Data                  Table                              Audits
                         National depts.                       2000/01         2001/02        2002/03         2003/04          2004/05        2005/06       2006/07           2007/08       2008/09     2009/10     2010/11
                         No of nat depts. Audited                     36                36          36               34             34                34            34                34           33          35       39
                         No of qualified audits                        7                 8           8               11              7                11            11                12           12          12       10
                         % of qualified audits                       19%         22.2%          22.2%           32.4%           20.6%            32.4%           32.4%          35.3%           36.4%       34.3%    25.6%
                         Provincial depts.
                         No of provincial depts. audited             117                116         116             115             117             117            107              119           112         123      115
                         No of qualified audits                       95                62          36               36             46                50            51                43           36          34       36
                         % of qualified audits                       81%         53.4%          31.0%           31.3%           39.3%            42.7%           47.7%          36.1%           32.1%       27.6%    31.3%
                         Municipalities
                         No of municipalities audited                543                175         128              95             126             270            245              245           283         237
                         No of qualified audits                      414                131         77               58             72              225            208              192           136         110
                         % of qualified audits                  76.2%            74.9%          60.2%           61.1%           57.1%            83.3%           84.9%          78.4%           48.1%       46.4%
                         Public entities
                         No of public entities audited                                  136         136             186             158             177            271              229           211         224      225
                         No of qualified audits                                         63          53               56             20                47            69                56           25          24       18
                         % of qualified audits                                   46.3%          39.0%           30.1%           12.7%            26.6%           25.5%          24.5%           11.8%       10.7%     8.0%

                          PERCENTAGE OF QUALIFIED AUDITS


                                     90%
                                     80%
                                     70%
                                     60%
                                     50%
                                 %




                                     40%
                                     30%
                                     20%
                                     10%
                                      0%
                                                 2000/01   2001/02      2002/03           2003/04     2004/05             2005/06    2006/07           2007/08      2008/09           2009/10     2010/11



                                                                      National depts.                 Provincial depts.                   Municipalities                 Public entities



 6 Data format           Number and percentage
 7 Definition            Qualified audit as defined by Auditor General (AG) (Includes qualified, adverse and disclaimer opinions)
 8 Data source           General Reports of the Auditor-General for the finacial year 2010/11




DRAFT                                                                                                                                         Page 78 of 83
 1   Indicator        80 Corruption perceptions
 2   Category            Anti-corruption
 3   Goal                To reduce the levels of corruption in government and in society as whole
 4   Trend analysis      The 2010 Corruption Perception Index (CPI) results show a setback in perception regarding the fight against corruption in South Africa.
                         According to CPI, perceptions about corruption in South Africa have increased between 2007 and 2010, pushing the ranking of South Africa
                         from 43rd place in 2007 to the 54th in 2010. South Africa's score remained below the midpoint (which is 5) at 4.50. While South Africa's
                         worsening scores are a cause for concern and require urgent attention, it has to be borne in mind that perceptions of corruption alone do
                         not mean that corruption has actually worsened. It could mean, for instance, that more incidents of corruption are being publicly exposed,
                         which increase public awareness about corruption.




 5 Data                  Table 1               Transparency International Corruption Perception index

                                                     1997      1998          1999          2000          2001       2002          2003             2004           2005        2006        2007        2008        2009         2010

                         Ranking position              33        32            34            34             38           36            48               44            46           51          43          54        55              54
                         Corruptions
                         perception scores           4.95      5.20          5.00          5.00          4.80           4.80          4.40          4.60          4.50        4.60         5.10        4.90        4.70             4.50
                         No. of Countries              52        85            99            90             91          102           133            146             159          163      180         180          180             178
 6   Graph

                                      CORRUPTION PERCEPTION

                                      60                                                                                                                                                                            5.40


                                      50                                                                                                                                                                            5.20

                                                                                                                                                                                                                    5.00
                                      40
                                                                                                                                                                                                                    4.80




                                                                                                                                                                                                                           scores
                            ranking




                                      30
                                                                                                                                                                                                                    4.60
                                      20
                                                                                                                                                                                                                    4.40

                                      10                                                                                                                                                                            4.20

                                      0                                                                                                                                                                             4.00
                                       1997   1998      1999          2000          2001          2002           2003          2004          2005             2006         2007         2008        2009        2010


                                                                                              Ranking position                    Corruptions perception scores




 7 Data format           Ranking in Transparency International Corruption Perception Index (CPI)
 8 Definition            Transparency International (TI) defines corruption as the abuse on entrusted power for private gain. This definition encompasses corrupt
                         practices in both the public and private sectors.
                         The corruption perception Index (CPI) ranks countries according to perception of corruption in the public sector. The CPI is an aggregate
                         indicator that combines different sources of information about corruption, making it possible to compare countries.

 9 Data source           Transparency International (www.transparency.org);




DRAFT                                                                                                                           Page 79 of 83
 1   Indicator        81 Budget Transparency
 2   Category            Good governance
 3   Goal                To ensure transparency in the budgetary process through availing extensive information about the budget to citizens
 4   Trend analysis      Out of 78 countries included in the index, South Africa was ranked amongst the top seven that provide extensive budgetary information to citizens, which confirms government's commitment to
                         transparency and openness




 5 Data                  Table           Open Budget Index 2006                                      Open Budget Index 2008                                         Open Budget Index 2010

                         Provides extensive information to citizens
                                         France          Slovenia       United Kingdom               France         South Africa     United States                  France         Norway         Sweden           United States
                                         New Zealand     South Africa   United States                New Zealand    United Kingdom                                  New Zealand    South Africa   United Kingdom
                         Provides significant information to citizens
                                         Botswana        Norway         Romania                      Botswana       Germany          Poland          South Korea    Brazil         Czech          Peru             South Korea     Ukraine
                                                                                                                                                                                   Republic
                                         Brazil          Peru           South Korea                  Brazil         Norway           Romania         Sri Lanka      Chile          Germany        Poland           Spain
                                       Czech           Poland           Sweden                       Czech          Peru             Slovenia        Sweden         Colombia       India          Slovenia         Sri Lanka
                                       Republic                                                      Republic
                         Provides some information to citizens
                                         Colombia        Indonesia      Namibia          Sri Lanka   Argentina      Egypt            Kenya           Russia         Argentina      Croatia        Jordan           Nepal           Slovakia
                                         Costa Rica      Jordan         Pakistan         Tanzania    Bangladesh     Georgia          Macedonia       Serbia         Azerbaijan     Egypt          Kenya            Papua New       Tanzania
                                                                                                                                                                                                                   Guinea
                                         Croatia         Kazakhstan     Papua New        Turkey      Bosnia and     Ghana            Mexico          Turkey         Bangladesh     Georgia        Macedonia        Philippines     Thailand
                                                                        Guinea                       Herzegovina
                                         Ghana           Kenya          Philippines                  Bulgaria       Guatemala        Namibia         Uganda         Bosnia         Ghana          Malawi           Portugal        Turkey
                                         Guatemala       Malawi         Russia                       Colombia       India            Nepal           Ukraine        Botswana       Guatemala      Mexico           Romania         Uganda
                                                                                                     Costa Rica     Indonesia        Papua New       Zambia         Bulgaria       Indonesia      Mongolia         Russia
                                                                                                                                     Guinea
                                                                                                     Croatia        Jordan           Philippines                    Costa Rica     Italy          Namibia          Serbia
                         Provides minimal information to citizens
                                         Albania         Bangladesh     Georgia          Zambia      Albania        Khazakstan       Mongolia        Tanzania       Afghanistan    El Salvador    Malaysia         Nicaragua       Venezuela
                                         Algeria         Cameroon       Honduras                     Azerbaijan     Lebanon          Morroco         Thailand       Albania        Kazakhstan     Mali             Pakistan        Yemen
                                         Argentina       Ecuador        Nepal                        Ecuador        Malawi           Niger           Trinidad and   Angola         Lebanon        Morocco          Timor-Leste     Zambia
                                                                                                                                                     Tobago
                                         Azerbaijan      El Salvador    Uganda                       El Salvador    Malaysia         Pakistan        Venezuela      Ecuador        Liberia        Mozambique       Trinidad and
                                                                                                                                                                                                                   Tobago
                         Provides scant or no information to citizens
                                         Bolivia         Egypt          Nicaragua                    Afghanistan    Chad             Kyrgyz          Saudi Arabia   Algeria        Democratic     Niger            Vietnam
                                                                                                                                     Republic                                      Republic of
                                                                                                                                                                                   Congo
                                         Burkina Faso    Mongolia       Nigeria                      Algeria        China            Liberia         Senegal        Bolivia        Dominican      Nigeria
                                                                                                                                                                                   Republic
                                                                                                     Angola         Democratic       Mongolia        Sudan          Burkina Faso   Equatorial     Rwanda
                                                                                                                    Republic of                                                    Guinea
                                                                                                                    Congo
                                                                                                     Bolivia        Dominican        Nicaragua       Vietnam        Cambodia       Fiji           Sao Tome e
                                                                                                                    Republic                                                                      Principe
                                                                                                     Burkina Faso   Equitorial       Nigeria         Yemen          Cameroon       Honduras       Saudi Arabia
                                                                                                                    Guinea
                                                                                                     Cambodia       Fiji             Rwanda                         Chad           Iraq           Senegal
                                                                                                     Cameroon       Houduras         Sao Tome e                     China          Kyrgyz         Sudan
                                                                                                                                     Principe                                      Republic


 7 Data format           Rating
 8 Definition            The International Budget Partnership’s (IBP) Open Budget Survey assesses the availability in each country of eight key budget documents, as well as the mprehensiveness of the data contained in
                         these documents. The Survey also examines the extent of effective oversight provided by legislatures and supreme audit institutions (SAI), as well as the opportunities available to the public to
                         participate in national budget decision-making processes. The International Budget Partnership’s
                         (IBP) Open Budget Survey assesses the availability in each country of eight key budget documents, as well as the comprehensiveness of the data contained in these
                         documents.
                         The rating is based on a questionnaire with 92 questions relating to categories of availability of budget documentation, the executive's budget proposal and the budget process

 9 Data source           www.openbudgetindex.org




DRAFT                                                                                                                             Page 80 of 83
 1   Indicator        82 Public opinion: Delivery of basic services
 2   Category            Government effectiveness
 3   Goal                To improve government's efficiency and effectiveness in providing services to citizens
 4   Trend analysis      There has been a general decline in public opinion about government's performance in delivering services since November 2006. The decline stabilised somewhat from November
                         2009, although at lower percentage levels. This decline has coincided with the high prevalence of service delivery protests across many municipalities.



 5 Data                  Table                    Public opinion: Delivery of basic services
                                                       2000              2001            2002             2003            2004          2005           2006           2007           2008               2009            2010               2011
                                                     May    Nov        May    Nov      May    Nov       May    Nov      May    Nov    May    Nov     May    Nov     May    Nov     May    Nov         May    Nov      May    Nov         May    Nov
                         Performing well              72     67         65     63       74     71        75     72       81     77     73     73      76     72      68     62      58     58          61     57       57     54          48     51
 6 Graph
                                   PUBLIC OPINION ON DELIVERY OF BASIC SERVICES


                                       85

                                       80

                                       75

                                       70
                           %




                                       65

                                       60

                                       55

                                       50

                                       45
                                            May     Nov     May     Nov      May     Nov       May   Nov     May      Nov   May      Nov   May     Nov   May      Nov   May      Nov   May      Nov      May       Nov   May       Nov
                                              2000              2001            2002             2003           2004           2005          2006           2007           2008          2009                  2010         2011


 7 Data format           Percent
 8 Definition
 9 Data source           Government Communication and Information System (GCIS) based on Markinor survey data
 10 Data note            Markinor's regular surveys, based on a national sample of 3 300, conducted twice a year in two parts namely the Government Performance Barometer (GPB) and Socio Political Trends
                         (SPT). In questions using a Likert (five point) scale, the two positive answers are combined ("very/fairly well" or "very/fairly confident")




DRAFT                                                                                                              Page 81 of 83
 1   Indicator        83 Ease of Doing Business
 2   Category            Government effectiveness
 3   Goal                To improve government's efficiency and effectiveness in attracting investment by creating an environment conducive to business operation
 4   Trend analysis      The 2011 Doing Business Index ranked South Africa 34 out of 183 economies, which is the same as the 2010 ranking. South Africa's position has decreased from 28 in 2006 to 34 in 2011.
                         While South Africa was ranked 47 in terms of ease of starting a business in 2009, and that ranking has since dropped drastically to 75 in 2011; which is a cause for concern.


 5 Data                  Table                               Ease of doing business-Rank
                                                                      2006           2007     2008   2009       2010         2011     Change in
                                                                                                                                     global rank
                         Malaysia                                       21            21       25     20          23           21             +
                         Estonia                                        16            18       18     22          24           17             +
                         Mauritius                                      23            30       29     24          17           20             -
                         Lithuania                                      15            24       28     28          26           23             +
                         Latvia                                         26            20       26     29          27           24             +
                         South Africa                                   28            37       35     32          34           34    no change
                         Slovak Republic                                37            31       37     36          42           41             +
                         Botswana                                       40            49       52     38          45           52             -
                         Chile                                          25            28       36     40          49           43             +
                         Hungary                                        52            51       50     41          47           46             +
                         Romania                                        78            55       47     47          55           56             -
                         Mexico                                         73            41       42     56          51           35             +
                         Oman                                           51            43       57     57          65           57             +

                         Table                               Doing business in SA 2007-2010
                         Key Indicators                                              2007     2008   2009       2010         2011     Change in
                                                                                                                                     Global Rank
                         Getting Credit                                               32        2      2           2            2      no change
                         Protecting Investors                                          9        9      9          10           10      no change
                         Paying Taxes                                                 59       65     23          23           24                 -
                         Ease of Doing Business                                       37       35     32          34           34      no change
                         Starting a business                                          58       57     47          67           75              -
                         Dealing with construction permits                            46       47     48          52       no data
                         Closing a Business                                           66       71     73          76           74              +
                         Enforcing contracts                                          85       83     82          85           85      no change
                         Registering Property                                         69       78     87          90           91              -
                         Employing Workers                                            93       96    102         102       no data       no data
                         Trading across borders                                      130      137    147         148          149                 -


 7 Data format           Normalised data of the selected economic group - Upper Middle Income Economies
 8 Definition            The ease of doing business index ranks economies from 1 to 183. The index is calculated as the ranking on the simple average of country percentile rankings on each of the 10 topics covered
                         in Doing Business. The ranking on each topic is the simple average of the percentile rankings on its component indicators.
 9 Data source           http://www.doingbusiness.org - Doing Business Database




DRAFT                                                                                                                                    Page 82 of 83
 1   Indicator        84 Green house gas emissions
 2   Category            Environment
 3   Goal                To reduce green house gas emissions in line with international protocols
 4   Trend analysis      Climate change is a globally recognised challenge, and, along with other African countries, South Africa is particularly vulnerable to its impacts. South Africa's
                         strategic response to climate change is set out in the National Climate Change Response White Paper (October 2011), which describes two key objectives: (i)
                         effectively manage the inevitable climate change impacts (adaptation); and (ii) make a fair contribution to the global effort to stabilise greenhouse gas
                         concentrations in the atmosphere in order to keep the temperature increase well below 2 degrees Celsius. As a contribution to the global mitigation effort,
                         South Africa has committed to implementing nationally appropriate mitigation actions that will collectively result in a 34% and a 42% deviation below its
                         business as usual emissions growth trajectory, by 2020 and 2025 respectively. With financial, capacity building and technology support, this level of effort will
                         enable South Africa's GHG emissions to peak between 2020, and 2025, plateau for approximately a decade and decline in absolute terms thereafter.



 5 Data                  Table1                    Greenhouse gas emissions
                         (Mt CO2-eq)                1990 1991 1992 1993 1994                1995   1996   1997   1998   1999   2000   2001   2002   2003     2004   2005   2006   2007   2008   2009   2010   2011   2012   2013   2014   2015   2016   2017   2018   2019   2020   2021   2022   2023   2024   2025   2026   2027   2028   2029   2030   2031   2032   2033   2034   2035   2036   2037   2038   2039   2040   2041   2042   2043   2044   2045   2046   2047   2048   2049   2050
                       1 UNFCCC                      350  358    365   373  380
                       2 LTMS estimates                                                      387    393    400    407    413    420    433    440    446
                       3 2007 LTMS GWC
                          scenario figures                                                                                                                    458    471    482    499    515    530    547    545    564    585    611
                       4 BAU Upper limits                                   380              390    398    408    418    427    437    454    464    474      490    507    522    544    565    585    607    609    634    662    695    719    752    786    819    848    883    910    947    983   1021   1058   1097   1132   1173   1217   1255   1287   1331   1382   1430   1484   1530   1577   1620   1660   1710   1762   1817   1870   1926   1983   2038   2093   2151   2211   2272
                       5 BAU Lower limits                                   380              384    388    392    396    399    403    412    416    418      426    435    442    454    465    475    487    481    494    508    527    537    554    570    587    598    615    624    641    655    671    686    701    712    727    743    755    763    779    796    812    830    842    855    866    874    886    900    913    926    938    951    962    973    983    995   1006
                       6 PPD trajectory lower limits                                                       398    398    398    398    398    398    398      398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    398    385    372    359    346    333    320    307    294    281    268    255    242    229    216    212
                       7 PPD trajectory upper limits                                                       398    409    420    431    442    453    464      475    486    497    508    519    530    547    550    553    556    559    562    565    568    571    574    583    589    595    601    607    614    614    614    614    614    614    614    614    614    614    614    601    588    575    562    549    536    523    510    497    484    471    458    445    432    428



                         Table 2                         Greenhouse gas emissions by Gas

                                                           CO2 Equivalent        % change
                         Greenhouse gasses
                         under Convention                             2000    2000   1999   1994

                         CO2                                         362.07   0.79   0.15   0.29

                         CH4                                          75.06   0.16   0.74   0.74

                         N20                                          21.83   0.05   0.06     -6

                         CF4                                           1.97      0      -      -

                         C2F6                                        248.00      0      -      -

                         Total                                       461.18      -     21     33



 6 Graph
                                                                                                          GREENHOUSE GAS EMISSIONS
                                                                                 UNFCCC                                        LTMS estimates

                                       2300                                      2007 LTMS GWC                                 BAU Upper limits
                                                                                 scenario figures
                                                                                 BAU Lower limits                              PPD trajectory lower limits
                                       2000
                                               National Inventory                PPD trajectory upper limits

                                       1700
                         (Mt CO2-eqe




                                       1400

                                                                                                                                                                             BAUUpper and

                                       1100



                                        800                                            2007 LTMS GWC

                                                               LTMS model
                                                                                                                                                               PPD upper and
                                        500 LTMS model



                                        200
                                              1992



                                              1995



                                              1998




                                              2003



                                              2006



                                              2009

                                              2011



                                              2014



                                              2017



                                              2020

                                              2022



                                              2025



                                              2028




                                              2033



                                              2036



                                              2039




                                              2044



                                              2047



                                              2050
                                              1990
                                              1991

                                              1993
                                              1994

                                              1996
                                              1997

                                              1999
                                              2000
                                              2001
                                              2002

                                              2004
                                              2005

                                              2007
                                              2008

                                              2010

                                              2012
                                              2013

                                              2015
                                              2016

                                              2018
                                              2019

                                              2021

                                              2023
                                              2024

                                              2026
                                              2027

                                              2029
                                              2030
                                              2031
                                              2032

                                              2034
                                              2035

                                              2037
                                              2038

                                              2040
                                              2041
                                              2042
                                              2043

                                              2045
                                              2046

                                              2048
                                              2049




 7 Data format            Millions of tons of greenhouse gases expressed as carbon dioxide equivalents emitted in a specific year
 8 Definition             Greenhouse gases under the Convention are CO2, CH4, N2O,CF4, C2F6
 9 Data source            1) 1990 to 1994 FROM National Green House Gas inventory, based on SA initial communication under the UNFCC, 2004; 2000 Figure based on 2009
                          UNFCC
                          2) 1995 to 2003 estimates from Long-Term Mitigation Scenarios( LTMS), Department of Environmental Affairs
                          3) 2004 onwards, Long-term Mitigation Scenarios model, based on Growth without Constraints scenario (LTMS GWS)
                          4,5) 2007 emission scenarion from the LTMS (GWC)
                          6,7) PPD trajectory contained in the Minister of Environment
                          Greenhouse gas emissions by gas from South Africa's 2nd National Communication under the United Nations Framework Convention on Climate Change ,
                          2011
     Data Note            PPD - the Peak, Plateau and Decline greenhouse gas eemissions trajectory (PPD trajectory) is based on the 6 December 2009 Presidential announcement
                          that South Africa would undertake a range of voluntatry nationall appropriate mitigation action to ensure that the country'e emissions deviate below the
                          Business as Usual (BAU)




DRAFT                                                                                                                                                                                                                                     Page 83 of 83

				
DOCUMENT INFO
Shared By:
Categories:
Tags:
Stats:
views:2
posted:8/15/2012
language:
pages:83