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19-1672-CHI
Friday, November 01, 2019
Households in the Chicago-Naperville-Elgin, IL-IN-WI metropolitan area spent an average of $63,726 per year in 2017–18, the U.S. Bureau of Labor Statistics reported today. Assistant Commissioner for Regional Operations Charlene Peiffer noted that this figure was significantly higher than the $60,580 average expenditure level for households in the United States. Chicago-area households allocated their dollars similarly to the nation in five of the eight major expenditure categories, with three differing significantly from their respective U.S. averages. For example, the share of expenditures for housing, which accounted for 35.3 percent of the average household’s budget in the Chicago area, was significantly higher than the national average of 33.0 percent. (See chart 1 and table 1.)
Highlights of the Chicago-area’s 2017–18 spending patterns:Housing: This was the largest expenditure category for Chicago-area households and averaged $22,501. Housing accounted for 35.3 percent of the area’s household budget, significantly higher than the 33.0-percent U.S. average. (See table 1.) Among the 22 metropolitan areas nationwide for which data were available, Chicago was 1 of 9 areas to have a housing expenditure share that was higher than the national average. Housing expenditure shares among the 22 published metropolitan areas ranged from 39.4 percent in San Francisco to 30.1 percent in Detroit. (See table 2.)
Transportation: Chicago-area households spent 13.2 percent of their budget on transportation, significantly lower than the national average of 16.0 percent. Of the $8,443 in annual transportation expenditures in Chicago, 88.7 percent was spent buying and maintaining private vehicles; this compared to the national average of 92.1 percent.
Food: The portion of a Chicago household’s budget spent on food, 13.3 percent, was not significantly different from the 12.9-percent U.S. average. Chicago-area households spent $4,761, or 56.1 percent, of their food dollars on food at home and $3,720 (43.9 percent) on food away from home. In comparison, the average U.S. household spent 56.4 percent of its food budget on food at home and 43.6 percent on food away from home.
Data in this release are from the Consumer Expenditure Survey (CE), which the U.S. Census Bureau conducts for the U.S. Bureau of Labor Statistics. The data in this release were averaged over a 2-year period, 2017 and 2018.
A household in the CE survey is defined as a consumer unit which includes families, single persons living alone or sharing a household with others but who are financially independent, or two or more persons living together who share expenses. The terms household or consumer unit are used interchangeably for convenience.
Differences in spending among metropolitan areas may reflect differences in the cost of living, but they also may reflect other causes. Spending differences may result from different consumer preferences or variations in demographic characteristics, such as household size, age, or income levels. However, expenditure shares, or the percentage of a household’s budget spent on a particular category, can be used to compare spending patterns across areas. Sample sizes for the metropolitan areas are much smaller than for the nation, so the U.S. estimates and year-to-year changes are more reliable than those for the metropolitan areas. Users should also keep in mind that prices for many goods and services have changed since the survey was conducted.
A value that is statistically different from another does not necessarily mean that the difference has economic or practical significance. Statistical significance is concerned with our ability to make confident statements about a universe based on a sample. A large difference between two values may not be statistically significant, while a small difference could be significant; both the sample size and the variation among the values in the sample affect the relative error of the estimates.
For additional technical and related information, see www.bls.gov/opub/hom/cex/home.htm. Data for the nation, the four geographic regions of the U.S., and 22 metropolitan areas nationwide are available at www.bls.gov/cex/tables.htm. Metropolitan definitions used in the survey are available at www.bls.gov/cex/ce_msa_201516.htm. The metropolitan area discussed in this release is the Chicago-Naperville-Elgin, IL-IN-WI Metropolitan Statistical Area, which comprises Cook, DeKalb, DuPage, Grundy, Kane, Kendall, Lake, McHenry, and Will Counties in Illinois; Jasper, Lake, Newton, and Porter Counties in Indiana; and Kenosha County in Wisconsin. Metropolitan area news releases for the Consumer Expenditure Survey are available at www.bls.gov/regions/subjects/consumer-spending.htm.
Information in this release will be made available to sensory impaired individuals upon request. Voice phone: 202-691-5200; Federal Relay Service: 800-877-8339.
Category | United States | Chicago |
---|---|---|
Consumer unit characteristics: | ||
Income before taxes | $76,118 | $82,422 |
Age of reference person | 51 | 50.1 |
Average number in consumer unit: | ||
People | 2.5 | 2.5 |
Children under 18 | 0.6 | 0.6 |
Adults 65 and over | 0.4 | 0.3 |
Earners | 1.3 | 1.4 |
Vehicles | 1.9 | 1.7 |
Percent homeowner | 63 | 63 |
Average annual expenditures | $60,580 | $63,726* |
Percent distribution | ||
Total | 100.0 | 100.0 |
Food | 12.9 | 13.3 |
Alcoholic beverages | 0.9 | 1.0 |
Housing | 33.0 | 35.3* |
Apparel and services | 3.1 | 3.2 |
Transportation | 16.0 | 13.2* |
Healthcare | 8.1 | 8.6 |
Entertainment | 5.3 | 4.5* |
Personal care products and services | 1.3 | 1.7* |
Reading | 0.2 | 0.2 |
Education | 2.4 | 3.1 |
Tobacco products and smoking supplies | 0.6 | 0.3* |
Miscellaneous | 1.7 | 1.6 |
Cash contributions | 3.1 | 2.5 |
Personal insurance and pensions | 11.6 | 11.5 |
Note: An asterisk (*) represents a statistically significant difference from the U.S. average at the 95-percent confidence level. |
Area | Housing | Transportation | Food |
---|---|---|---|
United States | 33.0 | 16.0 | 12.9 |
Anchorage | 31.5 | 15.7 | 12.6 |
Atlanta | 32.8 | 16.3 | 11.5* |
Baltimore | 32.3 | 15.8 | 11.9 |
Boston | 37.5* | 12.0* | 12.1 |
Chicago | 35.3* | 13.2* | 13.3 |
Dallas-Fort Worth | 36.7* | 16.8 | 11.1* |
Denver | 34.2 | 15.2 | 12.4 |
Detroit | 30.1* | 19.3* | 12.3 |
Honolulu | 38.0* | 10.9* | 18.1* |
Houston | 34.1 | 15.9 | 11.8* |
Los Angeles | 35.7* | 13.6* | 13.2 |
Miami | 37.3* | 15.3 | 11.8 |
Minneapolis-St. Paul | 33.6 | 12.9* | 11.6* |
New York | 39.0* | 12.0* | 12.3 |
Philadelphia | 32.8 | 15.6 | 12.6 |
Phoenix | 31.0 | 19.0 | 11.7 |
San Diego | 35.9* | 14.3 | 13.3 |
San Francisco | 39.4* | 11.3* | 12.6 |
Seattle | 34.5 | 14.1 | 13.4 |
St. Louis | 32.9 | 15.1 | 11.7 |
Tampa | 35.5 | 15.3 | 14.3 |
Washington, D.C. | 33.9 | 14.4 | 12.3 |
Note: An asterisk (*) represents a statistically significant difference from the U.S. average at the 95-percent confidence level. |
Last Modified Date: Friday, November 01, 2019