U.S. Individual Zip Code Report
2011 edition
U.S. Population Demographics
U.S. Consumer Spending
U.S. Retail Businesses
U.S. Services Businesses
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) The most recent U.S. Census 3-year county growth rates are applied to each zip code population demographic.
4) 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.
5) 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
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.
The following steps were used in calculating the estimates in the Retail & Services databases:
1) These databases are based on the most recent U.S. Census County Business Patterns establishment by zip
code.
2) Projections by establishments, industry sales and employment are based on the Barnes Reports databases by
industry.
Copyright © 2010 By C. Barnes & Co.
Printed in USA
All rights reserved. This publication may not be reproduced, stored in any information or retrieval system
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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.
ZIP CODE 01760 2011 POPULATION 32,466
CITY Natick 2000-2011 % change 1.9%
COUNTY MIDDLESEX Male 15,358
STATE MA Female 17,108
Total Population by 2011 2000 2011
2000-2011 Per Capita Income by 2011 2000 2011
2000-2011
Race Population % change Race Population % change
White alone 27,431 -6% White alone $63,161 73%
Black/African-American 433 -20% Black/African-American $78,683 125%
American Indian 7 -47% American Indian $56,930 84%
Asian alone 2,355 84% Asian alone $35,363 22%
Other Race 1,592 316% Other Race $21,238 44%
Hispanic/Latino 647 21% Hispanic/Latino $46,218 60%
Total Population by 2011 2000-2011 Total Population by 2011 Family 2000-2011
Age Population % change Family Income Income % change
1 to 4 years 2,547 8% Less than $10;000 120 14%
5 to 9 years 2,465 17% $10;000 to $14;999 52 -29%
10 to 14 years 2,127 13% $15;000 to $19;999 77 -25%
15 to 19 years 1,195
1 195 -15% $700;000 to $704;999 298 45%
20 to 24 years 587 -51% $705;000 to $709;999 140 -24%
25 and 29 years 1,171 -43% $30;000 to $34;999 288 9%
30 and 34 years 2,251 -22% $35;000 to $39;999 158 -30%
35 to 39 years 3,702 17% $40;000 to $44;999 275 -3%
40 to 44 years 3,012 6% $45;000 to $49;999 183 -24%
45 to 49 years 2,979 21% $50;000 to $59;999 879 15%
50 to 54 years
y 2,554
, 26% $60;000 to $74;999
$ ; $ ; 1,587
, 50%
55 to 59 years 1,656 4% $75;000 to $99;999 4,408 162%
60 to 64 years 1,026 -22% $100;000 to $124;999 6,296 385%
65 to 69 years 906 -21% $125;000 to $149;999 3,926 524%
70 to 74 years 1,283 8% Over $150;000 13,779 866%
75 to 79 years 1,126 15%
80 to 84 years 854 30%
85 over years 1,024 69%
Pop. by Educational 2011 2000-2011 Total Population by 2011 2000-2011
Attainment Population % change Occupation Population % change
Less than 9th grade 306 -30% Managerial 9,069 -9%
9th to 12th grade, no
diploma 516 -43% Sales occupations 964 -51%
High school graduate 3,659 -19% Administrative support 1,267 -43%
Some college, no degree 3,114 -9% Service 1,423 -15%
Farming, forestry, and
Associate degree 1,764 6% fishing 1 -92%
Bachelor's degree 8,235 21% Production 1,021 -44%
Graduate or professional
degree 7,730 46%
© 2010 Pinpoint Demographics (Barnes Reports) - transmission or reproduction of this data is
prohibited without permission from Pinp