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16-2078-CHI
Tuesday, November 15, 2016
Households in the Minneapolis-St. Paul-Bloomington, Minn.-Wis., metropolitan area spent an average of $69,967 per year in 2014–15, 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 $54,715 average expenditure level for households in the United States. Minneapolis-area households allocated their dollars similarly among most of the eight major categories, with only one differing significantly from the U.S. average. The share of expenditures for food, which accounted for 11.2 percent of the average household’s budget in the Minneapolis area, was lower than the national average of 12.6 percent. (See chart 1 and table 1.)
Highlights of the Minneapolis-area’s 2014–15 spending patterns: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, 2014 and 2015.
A household in the CE survey is defined as a consumer unit which consists of members related by blood, marriage, adoption, or other legal arrangement; a single person living alone or sharing a household with others but who is financially independent; or two or more persons living together who share responsibility for at least 2 out of 3 major types of expenses – food, housing, and other 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. Data for the nation, the four geographic regions of the U.S., and 16 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_201415.pdf. The metropolitan area discussed in this release is Minneapolis-St. Paul-Bloomington, Minn.-Wis., which is comprised of Anoka, Carver, Chisago, Dakota, Hennepin, Isanti, Le Sueur, Mille Lacs, Ramsey, Scott, Sherburne, Sibley, Washington, and Wright Counties in Minnesota; and Pierce and St. Croix Counties 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.
The Consumer Expenditure Survey (CE) underwent a sample change in 2015. Estimates for the Cleveland Metropolitan Statistical Area (MSA) will no longer be produced, as the population for the MSA was below the threshold necessary to qualify as a publishable MSA. The geographical boundaries of the Boston MSA have changed significantly such that estimates are not comparable to estimates for 2014. Thus, both Cleveland and Boston are not represented in the 2014-2015 tables. Boston will return in the 2015-2016 tables when two years of data based on the new boundaries become available.
Category | United States | Minneapolis-St. Paul |
---|---|---|
Consumer unit characteristics: | ||
Income before taxes | $68,316 | $87,576 |
Age of reference person | 50.4 | 50.2 |
Average number in consumer unit: | ||
People | 2.5 | 2.4 |
Children under 18 | 0.6 | 0.6 |
Adults 65 and over | 0.4 | 0.3 |
Earners | 1.3 | 1.4 |
Vehicles | 1.9 | 2.4 |
Percent homeowner | 63 | 69 |
Average annual expenditures | $54,715 | $69,967* |
Percent distribution | ||
Total | 100.0 | 100.0 |
Food | 12.6 | 11.2* |
Alcoholic beverages | 0.9 | 1.1 |
Housing | 33.1 | 32.2 |
Apparel and services | 3.3 | 2.8 |
Transportation | 17.0 | 16.7 |
Healthcare | 7.9 | 8.1 |
Entertainment | 5.1 | 5.3 |
Personal care products and services | 1.2 | 1.3 |
Reading | 0.2 | 0.3 |
Education | 2.3 | 3.3 |
Tobacco products and smoking supplies | 0.6 | 0.5 |
Miscellaneous | 1.5 | 1.1* |
Cash contributions | 3.3 | 4.4 |
Personal insurance and pensions | 11.0 | 11.7 |
Note: An asterisk (*) represents a statistically significant difference from the U.S. average at the 95-percent confidence interval. |
Area | Housing | Transportation | Food |
---|---|---|---|
United States | 33.1 | 17.0 | 12.6 |
Atlanta | 33.2 | 16.1 | 11.1* |
Baltimore | 34.9 | 15.8 | 11.4 |
Chicago | 34.5* | 15.6 | 12.4 |
Dallas-Fort Worth | 32.8 | 17.7 | 12.9 |
Detroit | 30.3* | 18.8 | 12.2 |
Houston | 32.3 | 20.0* | 12.5 |
Los Angeles | 37.4* | 15.1* | 12.4 |
Miami | 36.2* | 18.1 | 13.8 |
Minneapolis-St. Paul | 32.2 | 16.7 | 11.2* |
New York | 39.6* | 12.7* | 11.0* |
Philadelphia | 35.0* | 15.9 | 11.2* |
Phoenix | 33.3 | 16.3 | 13.0 |
San Diego | 35.8* | 15.5 | 10.5* |
San Francisco | 37.1* | 13.9* | 12.1 |
Seattle | 34.4 | 14.2* | 12.9 |
Washington, D.C. | 36.6* | 15.7 | 9.6* |
Note: An asterisk (*) represents a statistically significant difference from the U.S. average at the 95-percent confidence interval. |
Last Modified Date: Tuesday, November 15, 2016