2010 Pinpoint-U.S. Counties-Consumer Spending-Alcoholic Beverages

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					U.S. Counties-Consumer Spending-Alcoholic Beverages
2010 edition




   3,000+ U.S. Counties




   Alcoholic Beverages 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
  STATE                 COUNTY                            Category                    Alcoholic beverages-Main Category
AK         ALEUTIANS EAST                                                79,088,542                                706,276
           ALEUTIANS WEST                                               132,377,150                              1,208,671
           ANCHORAGE                                                  8,902,515,038                             80,503,603
           BETHEL                                                       390,213,378                              3,430,158
           BRISTOL BAY                                                   15,874,938                                138,925
           DENALI                                                        80,872,803                                723,336
           DILLINGHAM                                                   127,357,472                              1,134,569
           FAIRBANKS NORTH STAR                                       2,579,691,643                             23,704,763
           HAINES                                                        86,866,457                                754,009
           JUNEAU                                                     1,149,708,318                             10,284,231
           KENAI PENINSULA                                            1,516,672,267                             13,655,934
           KETCHIKAN GATEWAY                                            376,580,949                              3,385,183
           KODIAK ISLAND                                                401,684,523                              3,699,133
           LAKE AND PENINSULA                                            46,343,095                                410,416
           MATANUSKA SUSITNA                                          2,396,208,264                             21,565,446
           NOME                                                         228,394,102                              2,029,791
           NORTH SLOPE                                                  246,107,533                              2,197,727
           NORTHWEST ARCTIC                                             175,205,398                              1,559,771
           PRINCE WALES KETCHIKAN                                       145,371,601                              1,287,823
           SITKA                                                        303,099,753                              2,728,466
           SKAGWAY HOONAH ANGOON                                         69,648,717                                627,161
           SOUTHEAST FAIRBANKS                                          149,600,591                              1,355,920
           VALDEZ CORDOVA                                               219,135,662                              1,985,766
           WADE HAMPTON                                                 167,350,607                              1,371,170
           WRANGELL PETERSBURG                                          167,842,583                              1,483,972
           YAKUTAT                                                       13,609,355                                119,075
           YUKON KOYUKUK                                                126,747,630                              1,086,475
AK Total                                                            20,294,168,370                             183,137,770




© 2010 Pinpoint: U.S. Counties Consumer Spending by Alcoholic Beverages                                                      1
                                                                2010 US$ Consumer Spending
                                               Average annual expenditures-Main
     STATE                 COUNTY                         Category                    Alcoholic beverages-Main Category
AL           AUTAUGA                                                  1,425,701,525                             12,802,084
             BALDWIN                                                  6,214,204,792                             55,303,629
             BARBOUR                                                    762,543,730                              6,681,409
             BIBB                                                       738,140,448                              6,519,200
             BLOUNT                                                   1,103,300,239                              9,981,907
             BULLOCK                                                    302,762,548                              2,644,723
             BUTLER                                                     520,665,099                              4,538,385
             CALHOUN                                                  3,281,920,234                             29,138,211
             CHAMBERS                                                 1,002,792,392                              8,820,770
             CHEROKEE                                                   495,933,004                              4,387,058
             CHILTON                                                    860,376,349                              7,582,245
             CHOCTAW                                                    395,826,367                              3,424,456
             CLARKE                                                     731,765,862                              6,419,383
             CLAY                                                       314,016,039                              2,726,040
             CLEBURNE                                                   388,968,515                              3,381,287
             COFFEE                                                   1,321,696,742                             12,009,505
             COLBERT                                                  1,458,841,016                             12,898,429
             CONECUH                                                    339,503,848                              2,977,457
             COOSA                                                      308,837,669                              2,698,053
             COVINGTON                                                1,053,469,738                              9,330,851
             CRENSHAW                                                   425,627,799                              3,737,262
             CULLMAN                                                  1,862,165,006                             16,498,605
             DALE                                                     1,321,431,139                             11,680,516
             DALLAS                                                   1,107,608,351                              9,698,120
             DE KALB                                                  1,939,147,492                             16,988,313
             ELMORE                                                   2,238,364,265                             20,036,217
             ESCAMBIA                                                 1,015,363,850                              9,064,296
             ETOWAH                                                   2,566,690,711                             22,643,235
             FAYETTE                                                    354,271,573                              3,093,927
             FRANKLIN                                                   859,448,720                              7,556,582
             GENEVA                                                     748,660,888                              6,476,518
             GREENE                                                     227,046,145                              1,966,757
             HALE                                                       744,054,494                              6,548,561
             HENRY                                                      461,310,986                              4,079,076
             HOUSTON                                                  2,203,962,114                             19,750,844
             JACKSON                                                  1,565,862,449                             13,805,938
             JEFFERSON                                              19,357,919,540                             173,494,876
             LAMAR                                                      385,284,319                              3,350,113
             LAUDERDALE                                               2,497,693,869                             22,215,554
             LAWRENCE                                                   587,086,890                              5,254,194
             LEE                                                      2,663,302,075                             23,838,701
             LIMESTONE                                                1,449,293,807                             12,989,769
             LOWNDES                                                    249,825,667                              2,187,657
             MACON                                                      481,243,136                              4,227,602
             MADISON                                                10,037,108,375                              90,937,811
             MARENGO                                                    446,213,536                              4,020,582
             MARION                                                     657,738,081                              5,761,321
             MARSHALL                                                 2,425,173,792                             21,671,024
             MOBILE                                                 11,078,047,050                              98,669,457
             MONROE                                                     645,842,045                              5,653,332
             MONTGOMERY                                               6,549,417,329                             58,929,928
             MORGAN                                                   4,052,148,109                             36,516,354
             PERRY                                                      173,671,291                              1,519,342
             PICKENS                                                    560,485,103                              4,857,741
             PIKE                                                       572,490,297                              5,008,289
             RANDOLPH                                                   597,398,440                              5,216,479
             RUSSELL                                                  1,791,187,567                             15,666,221
             SAINT CLAIR                                              1,672,763,430                             15,020,225
             SHELBY                                                   7,210,903,638                             64,795,584
             SUMTER                                                     269,442,041                              2,296,661
             TALLADEGA                                                1,936,633,319                             17,250,260
             TALLAPOOSA                                                 972,434,582                              8,623,944
             TUSCALOOSA                                               4,092,248,655                             36,413,103
© 2010 Pinpoint: U.S. Counties Consumer Spending by Alcoholic Beverages                                                      2
                                                                2010 US$ Consumer Spending
                 
				
DOCUMENT INFO
Description: The 2010 Pinpoint-U.S. Counties-Consumer Spending-Alcoholic Beverages report, published annuallly by Pinpoint Demographics (a division of Barnes Reports), provides 2010 consumer spending by 3,100+ U.S. counties. The consumer spending data categories include: total consumer spending and alcoholic beverages spending. These estimates from Pinpoint Demographics are based on exponential regression analysis from 1990 to 2000 U.S. Census data. Pinpoint Demographics' database of U.S. zip code demographic data is the most accurate and current data available for the 30,000+ U.S. zip codes.
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