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					The following statistics are collected by the Board of Revenue :

Crop Area Production and Yield Statistics


The Board of Revenue collects statistics of Crop Area Production and Land Use
(Nine fold Classification). Crop area estimates are made on the basis of crop area
data maintained by the Patwari in the Crop Register (Khasra Register). This data
is based on crop area enumeration (Girdawari). The information is verified by the
Land Records Inspector (LRI) and is sent to the Tehsildar, who forwards the data
to the Board of Revenue through the District Statistical Offices. To get precise
                                           estimates of area under principal crops,
                                           crops under irrigated area and under
                                           non-irrigated area, area under high
                                           yielding varieties and to obtain nine fold
                                           classification of land utilization. The
                                           Board issues advanced estimates/
                                           forecasts of Area and Production, which
                                           after approval of the DES are sent to
                                           the Govt. of India.

                                           General    Crop    Estimation     Surveys

                                            For estimating crop production, the
                                            Board of Revenue conducts General
                                            Crop Estimation Surveys (GCES) for
                                            estimating yield per hectare of major
                                            crops. The methodology is to select at
                                            least 2-3 villages in each Tehsil for
                                            GCES and 10 villages in each Tehsil for
                                            the Crop Insurance Scheme (CIS). In
                                            the selected villages at least 2 fields
                                            (Khasra) are selected randomly. The
crop in demarcated plots is harvested and dried and weighed to arrive at the yield.
Data collected from the villages is compiled and collated for the
Tehsil/District/State in the prescribed Tables for further processing. The number
of experiments conducted by the Board of Revenue for the year 2009-10, for
Kharif season is 22,240 and for Rabi Season, it is 18,996. Since the year, 2003-
04, a single series system has been adopted in the State. After entry of data
collected from villages, the information is prepared at Tehsil/ District/ State level.

Time Lag

There is a time lag of 12 months in release of final estimates for crop area and
production. This is due to delay in receiving reports by the Tehsil from the
patwaris and sometimes receipt of inaccurate reports from patwaris that have to
be referred back to them for corrections and reconciliations as required. This
results in delays in compilation of reports at the Tehsil level for onward
transmission to the Land Records Section of the District Collectorate.

The following schemes are implemented by DES:

Timely Reporting Scheme


The scheme of Timely Reporting of Area is implemented by the DES. For this
special girdawari is held 15 days prior to normal girdawari in all three seasons,
Rabi, Kharif and Zaid Rabi. For preparing the estimates 20 percent villages are
selected by linear systematic sampling. The estimates are prepared both by ratio
and unbiased method along with break up for irrigated and unirrigated area for
each crop in each season. The
response for the three seasons
Kharif, Rabi and Zaid Rabi has
been 97.93 percent, 94.09
percent and 88.37 percent
respectively for 2009-10. A
total of 8,930 villages were

Improvement of Crop
Statistics (ICS)


Out of the 20 percent villages
selected for Timely Reporting Scheme, a sub-sample of 300 non-overlapping
villages each for State Statistical staff (state sample) and National Sample Survey
Organisation staff (central sample) were drawn for supervision. The selection of
villages was done by N.S.S.O. office. The supervision was conducted just after the
prescribed TRS area enumeration period and carried out in a month time after the
due date for submission of the TRS statements in each season viz. Kharif, Rabi
and Zaid Rabi.

The supervision carried out was related to (i) sample check on area enumeration
and (ii) checking of page totals of Khasra register. Under the sample check on area
enumeration, physical verification of crops sown as reported by patwaries was
done in four clusters each of five survey numbers in each selected village. The
supervisors verified (a) Area of crop reported, (b) Identification of crop sown, (c)
Irrigation status and (d) Use of high yielding varieties.

Findings are recorded in inspection schedule AS (Agricultural Statistics). 1.0. Page
totals of Khasra register were also checked to find out the discrepancies between
the entries of area under land use as reported by patwaries and those obtained by
supervisors through simple totaling of the area figures in the Khasra register were
recorded in inspection schedule A.S. 1.1.

 On the basis of these Schedules, Table A-1 to A-20 are prepared at DES level and
sent to National Sample Survey Organisation (NSSO), Faridabad.

Use of IT

The IT use scenario is as follows:

•   DES: There are no computers available in DES for Agricultural Statistics.
•   Board of Revenue: The Board of Revenue has two Celeron PCs with Printer for
    processing Crop Estimation Survey data and the Rainfall data.


DES, Board of Revenue, and Agriculture Department have regular annual
publications reporting crop area and production statistics, and other agricultural

Inter relationship with Agencies

All the three - DES, BoR, and the Agriculture Department interact among
themselves and the DES and the Agriculture Department interacts with the
Ministry of Cooperation & Agriculture for operational and theoretical issues
related to collection of crop area and production, and other agricultural statistics.


The data quality is adequate.


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