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Tuesday, November 08, 2016
Households in the Baltimore, Md., metropolitan area spent an average of $68,441 per year in 2014–15, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Sheila Watkins noted that this figure was significantly higher than the $54,715 average expenditure level for households in the United States. Baltimore-area households allocated their dollars similarly to the nation among five of the eight major categories, with three differing significantly from the U.S. average. For example, the share of expenditures for healthcare, which accounted for 6.8 percent of the average household’s budget in the Baltimore area, was significantly lower than the national average of 7.9 percent. (See chart 1 and table 1.)
Highlights of the Baltimore area’s 2014–15 spending patterns:
Additional Information
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.
For additional technical and related information, see www.bls.gov/opub/hom/pdf/homch16.pdf. 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. The metropolitan area discussed in this release is the Baltimore, Md. MSA, which comprises Anne Arundel, Baltimore, Carroll, Harford, Howard, and Queen Anne’s Counties and Baltimore City in Maryland. 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 not 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 | Baltimore |
---|---|---|
Consumer unit characteristics: | ||
Income before taxes |
$68,316 | $91,242 |
Age of reference person |
50.4 | 52.5 |
Average number in consumer unit: |
||
People |
2.5 | 2.4 |
Children under 18 |
0.6 | 0.6 |
Adults 65 and older |
0.4 | 0.4 |
Earners |
1.3 | 1.4 |
Vehicles |
1.9 | 2.0 |
Percent homeowner |
63 | 73 |
Average annual expenditures |
$54,715 | $68,441* |
Percent distribution | ||
Total |
100.0 | 100.0 |
Food |
12.6 | 11.4 |
Alcoholic beverages |
0.9 | 0.8 |
Housing |
33.1 | 34.9 |
Apparel and services |
3.3 | 2.9 |
Transportation |
17.0 | 15.8 |
Healthcare |
7.9 | 6.8* |
Entertainment |
5.1 | 3.8* |
Personal care products and services |
1.2 | 1.3 |
Reading |
0.2 | 0.4 |
Education |
2.3 | 2.3 |
Tobacco products and smoking supplies |
0.6 | 0.2* |
Miscellaneous |
1.5 | 1.6 |
Cash contributions |
3.3 | 3.3 |
Personal insurance and pensions |
11.0 | 14.5* |
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 |
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 |
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 |
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 08, 2016