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)

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

Other Parts of Milwaukee County

Shorter reports are available for other ZIP codes in Milwaukee County:

53110 Cudahy
53129 Greendale
53130Hales Corners
53132 Franklin
53154 Oak Creek
53172 South Milwaukee
53113 Wauwatosa, Milwaukee
53214 West Allis, Milwaukee, West Milwaukee
53217Bayside, Fox Point, Glendale, River Hills, Whitefish Bay
53220 Greenfield, Milwaukee
53226 Wauwatosa, Milwaukee
53227 West Allis, Milwaukee, Greenfield
53228 Greenfield, Milwaukee
53235 St. Francis

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. 

53005 Brookfield
53012 Cedarburg
53022 Germantown
53024 Grafton
53045 Brookfield
53051 Menomonee Falls
53072 Pewaukee
53092 Thiensville, Mequon
53097 Mequon
53122 Elm Grove

53140 Kenosha
53143 Kenosha
53144 Kenosha
53146 New Berlin
53151 New Berlin
53158 Pleasant Prairie
53186 Waukesha
53187 Waukesha
53404 Racine
 

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).