2010 Pinpoint-U.S. Counties-Consumer Spending-Tobacco Products and Smoking Supplies by BarnesReports

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									U.S. Counties-Consumer Spending-Tobacco Products and
Smoking Supplies 2010 edition




   3,000+ U.S. Counties




   Tobacco Products and Smoking Supplies Categories




   Methodology




   Demographic Descriptions
                                        METHODOLOGY

Pinpoint Demographics uses regression analysis to estimate the most accurate and timely current year population
demographics and consumer spending.


The following steps were used in calculating the estimates in the Population Demographics database:
1) 1990 and 2009 zip codes data from the U.S. Census were matched. Where zip codes were not able to be
matched, data from neighboring zip codes were considered in adjusting data.
2) Regression analysis was used on 1990 and 2000 data to calculate the estimates for the current year.
3) Where the percent change of data from 2000 to current year were too low or too high from an acceptable
range, data from neighboring zip codes were considered in adjusting data.
4) Population Density catgories and Population Segments categories were added according to the definitions in
the U.S. Population Demographics database.


The following steps were used in calculating the estimates in the Consumer Spending database:
1) The Consumer Spending database were calculated based on the U.S. Census' "Consumer Expenditure
Survey" and Pinpoint Demographics' U.S. Population Demographics database.
2) Consumer Spending categories are based on the family income categories, such as $25,000 to $49,999
income each year.


Consumer Spending Database Categories
The Consumer Spending Database has a hierarchy ranking of categories, include the Main category and
      sub categories,
three sub-categories, notated 1), 2) and 3). The following example describes the hierarchy:
  Main Category: Food
    Sub-category 1): Food-at-home
      Sub-category 2): Cereals and bakery products
        Sub-category 3): Cereals and cereal products
        Sub-category 3): Bakery products

Sub-categories 3) will add up to sub-category 2). Sub-categories 2) will add up to sub-category 1), etc.




Copyright © 2009 By C. Barnes & Co.
Printed in USA

All rights reserved. This publication may not be reproduced, stored in any information or retrieval system
or transmitted in whole or in part, in any form or by any means - electronic, mechanical, photocopying,
recording or otherwise - without the express written permission of C. Barnes & Co.

Note: Every effort has been made to verify and ensure the accuracy of the information within this
publication. However, if any errors exist in this publication C. Barnes & Co. disclaims any liability for
any loss or damage to any party as a result of the information or errors in this publication.
                                POPULATION SEGMENTS-DEFINITIONS
                                           © 2009 Pinpoint Demographics

                                   Urban                         Suburban                      Rural
                                                                 Population within zip code is
                                   Population within zip code is between than 10,000 and       Population within zip code is
Population Density Definition      greater than 50,000           50,000                        less than 10,000

                                   Population growth is greater Population growth is greater Population growth is greater
Pop Increasing Growth              than 25% from 2000 to 2009 than 25% from 2000 to 2009 than 25% from 2000 to 2009

                                   Black population is greater     Black population is greater     Black population is greater
High Black Ratio                   than 50% of total population    than 50% of total population    than 50% of total population
                                   Hispanic population is          Hispanic population is          Hispanic population is
                                   greater than 50% of total       greater than 50% of total       greater than 50% of total
High Hispanic Ratio                population                      population                      population
                                   Black and/or Hispanic           Black and/or Hispanic           Black and/or Hispanic
                                   population is greater than      population is greater than      population is greater than
Diverse Ratio                      25% of total population         25% of total population         25% of total population
                                   White population has            White population has            White population has
                                   declined by more than 25%       declined by more than 25%       declined by more than 25%
Declining White Growth             from 2000 to 2009               from 2000 to 2009               from 2000 to 2009
                                   Black and/or Hispanic           Black and/or Hispanic           Black and/or Hispanic
                                   population has increased by     population has increased by     population has increased by
                                   more than 25% from 2000 to      more than 25% from 2000 to      more than 25% from 2000 to
Increasing Minority Growth         2009                            2009                            2009
                                   Population has more than        Population has more than        Population has more than
                                   25% of high per capita          25% of high per capita          25% of high per capita
                                   income and/or white collar      income and/or white collar      income and/or white collar
                                   workers and/or college          workers and/or college          workers and/or college
Wealth White Collar High Ed        graduates                       graduates                       graduates
                                   Population has more than        Population has more than        Population has more than
                                   25% of low per capita           25% of low per capita           25% of low per capita
                                   income and/or blue collar       income and/or blue collar       income and/or blue collar
                                   workers and/or high school      workers and/or high school      workers and/or high school
Poverty Blue Collar Low Ed         dropouts                        dropouts                        dropouts

                                   Youth population (younger       Youth population (younger       Youth population (younger
                                   than 25 years old) is greater   than 25 years old) is greater   than 25 years old) is greater
Young Ratio                        than 25% of total population    than 25% of total population    than 25% of total population
                                   Youth population (younger       Youth population (younger       Youth population (younger
                                   than 25 years old) has          than 25 years old) has          than 25 years old) has
                                   increased by more than 25%      increased by more than 25%      increased by more than 25%
Young Growth                       from 2000 to 2009               from 2000 to 2009               from 2000 to 2009
                                                                   Farming jobs are more than      Farming jobs are more than
                                                --
Farming                                                            25% of all jobs                 25% of all jobs
            POPULATION DEMOGRAPHICS CATEGORIES
                                     © Pinpoint Demographics

   Population
  Demographics              Occupation                Education              Population
   Categories                Catgories                Categories             Segments

                                                                         Population Density
Total population        Managerial               Less than 9th grade     Definition

                                                 9th to 12th grade, no   Pop Increasing
Population by gender    Sales occupations        diploma                 Growth


Population by race      Administrative support   High school graduate    High Black Ratio

                                                 Some college, no
Population by age       Service                  degree                  High Hispanic Ratio

Population by           Farming, forestry, and
occupation              fishing                  Associate degree        Diverse Ratio
Population by
educational                                                              Declining White
attainment              Production
                        Production               Bachelor's
                                                 Bachelor's degree       Growth
                                                                         Growth

Population by family                             Graduate or             Increasing Minority
income                                           professional degree     Growth

Population by per                                                        Wealthy White Collar
capita income by race                                                    High Education

                                                                         Poverty Blue Collar
                                                                         Low Education


                                                                         Young Ratio


                                                                         Young Growth


                                                                         Farming
                     CONSUMER SPENDING CATEGORIES
                                           © Pinpoint Demographics


                                  Housing                 Transportation
  Food Categories                Categories                 Categories           Other Categories

Food                       Housing                    Transportation            Healthcare
                                                      Vehicle purchases (net
Food at home               Owned dwellings            outlay)                   Health insurance
Cereals and bakery         Mortgage interest and
products                   charges                    Cars and trucks, new      Medical services
Meats, poultry, fish and   Maintenance, repairs,
eggs                       insurance                  Cars and trucks, used     Drugs


Dairy Products             Rented dwellings           Gasoline and motor oil    Medical supplies
                           Utilities, fuels, and      Maintenance and
Fruits and vegetables      public services            repairs                   Entertainment
                                                                                Personal care products
Nonalcoholic beverages Natural gas                    Vehicle insurance         and services
                                                      Vehicle rental, leases,
Food away from home        Electricity
                           Electricity                licenses                  Reading
                                                                                Reading


Alcoholic beverages        Fuel oil and other fuels   Public transportation     Education
                                                                                Personal insurance and
                           Telephone services                                   pensions
                           Water and other public                               Life and other personal
                           services                                             insurance
                                                                                Pensions and Social
                           Household operations                                 Security


                           Personal services                                    Furniture


                           Household supplies                                   Floor coverings
                           Laundry and cleaning
                           supplies                                             Major appliances
                           Household furnishings                                Small appliances, misc.
                           and equipment                                        housewares
                                                               2010 US$ Consumer Spending
                                              Average annual expenditures-Main     Tobacco products and smoking supplies-
  STATE                 COUNTY                           Category                              Main Category
AK         ALEUTIANS EAST                                               79,088,542                                522,133
           ALEUTIANS WEST                                              132,377,150                                767,255
           ANCHORAGE                                                 8,902,515,038                             43,922,178
           BETHEL                                                      390,213,378                              2,678,139
           BRISTOL BAY                                                  15,874,938                                109,342
           DENALI                                                       80,872,803                                519,847
           DILLINGHAM                                                  127,357,472                                739,684
           FAIRBANKS NORTH STAR                                      2,579,691,643                             12,872,448
           HAINES                                                       86,866,457                                382,230
           JUNEAU                                                    1,149,708,318                              5,035,819
           KENAI PENINSULA                                           1,516,672,267                              9,140,421
           KETCHIKAN GATEWAY                                           376,580,949                              2,152,957
           KODIAK ISLAND                                               401,684,523                              1,984,562
           LAKE AND PENINSULA                                           46,343,095                                322,901
           MATANUSKA SUSITNA                                         2,396,208,264                             12,190,171
           NOME                                                        228,394,102                              1,578,302
           NORTH SLOPE                                                 246,107,533                              1,336,694
           NORTHWEST ARCTIC                                            175,205,398                              1,134,960
           PRINCE WALES KETCHIKAN                                      145,371,601                                926,894
           SITKA                                                       303,099,753                              1,231,322
           SKAGWAY HOONAH ANGOON                                        69,648,717                                443,795
           SOUTHEAST FAIRBANKS                                         149,600,591                                834,655
           VALDEZ CORDOVA                                              219,135,662                              1,335,452
           WADE HAMPTON                                                167,350,607                              1,436,140
           WRANGELL PETERSBURG                                         167,842,583                                907,890
           YAKUTAT                                                      13,609,355                                106,561
           YUKON KOYUKUK                                               126,747,630                              1,006,814
AK Total                                                           20,294,168,370                             105,619,566




© 2010 Pinpoint: U.S. Counties Consumer Spending by Tobacco Products and Smoking Supplies                                   1
                                                               2010 US$ Consumer Spending
                                              Average annual expenditures-Main     Tobacco products and smoking supplies-
     STATE                 COUNTY                        Category                              Main Category
AL           AUTAUGA                                                 1,425,701,525                              8,165,113
             BALDWIN                                                 6,214,204,792                             38,967,219
             BARBOUR                                                   762,543,730                              5,292,822
             BIBB                                                      738,140,448                              5,466,166
             BLOUNT                                                  1,103,300,239                              7,287,234
             BULLOCK                                                   302,762,548                              2,510,401
             BUTLER                                                    520,665,099                              3,451,767
             CALHOUN                                                 3,281,920,234                             17,623,451
             CHAMBERS                                                1,002,792,392                              7,374,560
             CHEROKEE                                                  495,933,004                              3,503,094
             CHILTON                                                   860,376,349                              5,957,856
             CHOCTAW                                                   395,826,367                              3,089,604
             CLARKE                                                    731,765,862                              5,365,601
             CLAY                                                      314,016,039                              2,507,696
             CLEBURNE                                                  388,968,515                              3,085,788
             COFFEE                                                  1,321,696,742                              7,336,316
             COLBERT                                                 1,458,841,016                              9,851,343
             CONECUH                                                   339,503,848                              2,293,507
             COOSA                                                     308,837,669                              2,160,964
             COVINGTON                                               1,053,469,738                              6,414,692
             CRENSHAW                                                  425,627,799                              3,409,400
             CULLMAN                                                 1,862,165,006                             12,214,804
             DALE                                                    1,321,431,139                              9,477,196
             DALLAS                                                  1,107,608,351                              8,174,099
             DE KALB                                                 1,939,147,492                             13,477,563
             ELMORE                                                  2,238,364,265                             14,334,432
             ESCAMBIA                                                1,015,363,850                              6,600,925
             ETOWAH                                                  2,566,690,711                             17,020,122
             FAYETTE                                                   354,271,573                              2,738,424
             FRANKLIN                                                  859,448,720                              6,501,121
             GENEVA                                                    748,660,888                              5,947,120
             GREENE                                                    227,046,145                              1,755,335
             HALE                                                      744,054,494                              5,620,128
             HENRY                                                     461,310,986                              3,366,458
             HOUSTON                                                 2,203,962,114                             12,763,641
             JACKSON                                                 1,565,862,449                             11,087,854
             JEFFERSON                                             19,357,919,540                             105,469,999
             LAMAR                                                     385,284,319                              3,069,446
             LAUDERDALE                                              2,497,693,869                             13,300,410
             LAWRENCE                                                  587,086,890                              3,713,398
             LEE                                                     2,663,302,075                             16,740,641
             LIMESTONE                                               1,449,293,807                              8,536,332
             LOWNDES                                                   249,825,667                              1,577,655
             MACON                                                     481,243,136                              3,526,334
             MADISON                                               10,037,108,375                              51,477,178
             MARENGO                                                   446,213,536                              2,391,491
             MARION                                                    657,738,081                              4,509,938
             MARSHALL                                                2,425,173,792                             15,220,140
             MOBILE                                                11,078,047,050                              71,288,294
             MONROE                                                    645,842,045                              4,067,883
             MONTGOMERY                                              6,549,417,329                             36,686,422
             MORGAN                                                  4,052,148,109                             24,248,178
             PERRY                                                     173,671,291                              1,324,906
             PICKENS                                                   560,485,103                              4,295,020
             PIKE                                                      572,490,297                              4,209,137
             RANDOLPH                                                  597,398,440                              4,376,429
             RUSSELL                                                 1,791,187,567                             12,342,773
             SAINT CLAIR                                             1,672,763,430                             10,331,594
             SHELBY                                                  7,210,903,638                             35,208,959
             SUMTER                                                    269,442,041                              2,267,036
             TALLADEGA                                               1,936,633,319                             12,652,983
             TALLAPOOSA                                                972,434,582                              6,425,376
             TUSCALOOSA                                              4,092,248,655                             23,548,061
© 2010 Pinpoint: U.S. Counties Consumer Spending by Tobacco Products and Smoking Supplies                                   2
                                                               2010 US$ Consumer Spendi
								
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