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Purchasing Power Profiles
by ZIP Code
City of Milwaukee
Complete reports with comparison tables, graphs, aerial photos, and
density maps are available for the following City ZIP codes:
(Profiles are Adobe pdfs)
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53202
53203 no profile
prepared
because of the small number of residents
53204
53205
53206
53207
53208
53209
includes parts of Brown Deer, Glendale, River Hills
53210
53211
includes Shorewood, part of Whitefish Bay
53212
53215
includes part of West Milwaukee
53216
53218
53219
includes part of Greenfield, West Allis, West Milwaukee
53221
includes part of Greenfield
53222
includes part of Wauwatosa
53223
includes part of Brown Deer
53224
53225
includes part of Wauwatosa
53233
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Other Parts of Milwaukee County
Shorter reports are available for other ZIP codes in Milwaukee County: |
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53110
Cudahy
53129
Greendale
53130
Hales Corners
53132
Franklin
53154
Oak Creek
53172
South Milwaukee
53213
Wauwatosa, Milwaukee
53214
West Allis, Milwaukee, West Milwaukee
53217
Bayside, Fox Point, Glendale, River Hills, Whitefish Bay
53220
Greenfield, Milwaukee
53226
Wauwatosa, Milwaukee
53227
West Allis, Milwaukee, Greenfield
53228
Greenfield, Milwaukee
53235
St. Francis
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Other Parts of the Milwaukee Metropolitan Area
Individual reports were not prepared for rest of the
metropolitan area, but data for the following zip codes are included for comparison
in the Milwaukee City and County ZIP profiles.
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53005 Brookfield
53012 Cedarburg
53022 Germantown
53024 Grafton
53045 Brookfield
53051 Menomonee Falls
53072 Pewaukee
53092 Thiensville, Mequon
53097 Mequon
53122 Elm Grove |
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53140 Kenosha
53143 Kenosha
53144 Kenosha
53146 New Berlin
53151 New Berlin
53158 Pleasant Prairie
53186 Waukesha
53187 Waukesha
53404 Racine |
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Methodology
The ETI purchasing power expenditure estimates are based on detailed
analyses of consumer expenditures by the U.S. Census Bureau Consumer
Expenditure Surveys. Retail purchasing data are taken from the most
recently released (December 2003) Consumer Expenditure Survey for the four
quarters of the year 2002. Sixteen categories of expenditures are
analyzed: food at home; food away from home; apparel and related services;
television equipment, tapes and discs; audio equipment, CDs, and tapes;
household textiles; furniture; floor coverings; major appliances; small
appliances and housewares; computer hardware and software; miscellaneous
household equipment; non-prescription drugs and supplies; housekeeping
supplies; personal products; and home repair commodities.
Most expenditure data are calculated from the larger CEX interview file,
which contains more than 30,000 records with complete income and
expenditure responses for the year. The three categories of expenditures
not in the interview file (non-prescription drugs, housekeeping and
cleaning supplies, and personal care products) are drawn from two years
(2001 and 2002) of the CEX diary file, which includes more than 22,000
respondents with complete income and expenditure data.
Expenditure patterns are then combined by income levels and
family/household types with Wisconsin Department of Revenue 2002 income
tax filing data, controlling for a similar matrix of income levels and
family/household types. State income tax data for non-dependent,
non-elderly filers are obtained by geographic level to construct final
estimates. Data on elderly households are drawn from the 2000 U.S. Census.
Listings of expenditures included in the 16 categories analyzed are
detailed in the methodology section of each report.
The Milwaukee purchasing power profiles differ from those available on the
Employment and Training Institute website. The Milwaukee profiles use
neighborhood population/income data derived primarily from the most recent
State of Wisconsin income tax filing data (tax forms filed in 2003 for
2002 tax purposes), reflecting recent economic changes by neighborhood
rather than 2000 U.S. Census survey data on income. Secondly, the
Milwaukee ZIP profiles are based on actual ZIP code boundaries, rather
than Census Bureau ZCTA (ZIP Code Tabulation Area) boundaries
(aggregations of census blocks only approximating ZIP code areas).
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