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Tuesday, September 20, 2022
Households in the Baltimore-Columbia-Towson, MD, metropolitan area spent an average of $76,216 per year in 2020–2021, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Alexandra Hall Bovee noted that this figure was significantly higher than the $64,187 average expenditure level for households in the United States. Baltimore-area households allocated their dollars similarly to the nation in 5 of the 8 largest major components. Three of the largest components in the local area differed significantly from their respective U.S. averages. For example, the share of expenditures for personal insurance and pensions, which accounted for 13.9 percent of the average household’s budget in the Baltimore area, was higher than the national average of 11.8 percent. (See chart 1 and table 1.)
Highlights of the Baltimore area’s 2019–20 spending patterns:
Housing: This was the largest expenditure component for Baltimore-area households and averaged $25,274. Housing accounted for 33.2 percent of the area’s household budget, not significantly different from the 34.3-percent U.S. average. Housing expenditure shares among the 22 metropolitan areas nationwide for which data were available ranged from 41.9 percent in San Francisco to 30.7 percent in St. Louis. (See table 2.)
Transportation: Baltimore-area households spent 17.9 percent of their budget on transportation, not significantly different than the national average of 16.2 percent. Of the $13,637 in annual transportation expenditures in Baltimore, 97.9 percent was spent buying and maintaining private vehicles; this compared to the national average of 96.6 percent.
Food: The portion of a Baltimore household’s budget spent on food, 11.3 percent, was not significantly different from the 12.2-percent U.S. average. Baltimore-area households spent $5,447, or 63.3 percent, of their food dollars on food at home and $3,160 (36.7 percent) on food away from home. In comparison, the average U.S. household spent 65.3 percent of its food budget on food at home and 34.7 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, 2020 and 2021.
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 component, 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 United States, 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 Baltimore-Columbia-Towson, MD Metropolitan Statistical Area 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 individuals with sensory impairments upon request. Voice phone: (202) 691-5200; Telecommunications Relay Service: 7-1-1.
Category | United States |
Baltimore |
---|---|---|
Consumer unit characteristics: |
||
Income before taxes |
$85,906 | $115,638 |
Age of reference person |
52 | 51.8 |
Average number in consumer unit: |
||
People |
2.5 | 2.6 |
Children under 18 |
0.6 | 0.6 |
Adults 65 and over |
0.4 | 0.3 |
Earners |
1.3 | 1.5 |
Vehicles |
1.9 | 1.8 |
Percent homeowner |
65 | 70 |
Average annual expenditures |
$64,187 | $76,216* |
Percent distribution |
||
Total |
100.0 | 100.0 |
Food |
12.2 | 11.3 |
Alcoholic beverages |
0.8 | 0.7 |
Housing |
34.3 | 33.2 |
Apparel and services |
2.5 | 2.2 |
Transportation |
16.2 | 17.9 |
Healthcare |
8.3 | 7.4* |
Entertainment |
5.1 | 4.0* |
Personal care products and services |
1.1 | 0.9* |
Reading |
0.2 | 0.2 |
Education |
1.9 | 1.9 |
Tobacco products and smoking supplies |
0.5 | 0.4* |
Miscellaneous |
1.5 | 1.3 |
Cash contributions |
3.7 | 4.9 |
Personal insurance and pensions |
11.8 | 13.9* |
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 |
34.3 | 16.2 | 12.2 |
Anchorage |
34.4 | 12.1* | 14.6* |
Atlanta |
35.9 | 15.4 | 13.9* |
Baltimore |
33.2 | 17.9 | 11.3 |
Boston |
34.2 | 10.6* | 12.3 |
Chicago |
37.3* | 13.8 | 13.0 |
Dallas-Fort Worth |
36.5 | 17.5 | 9.6* |
Denver |
36.2 | 16.3 | 11.2 |
Detroit |
33.0 | 16.4 | 12.3 |
Honolulu |
41.2* | 12.4* | 15.2* |
Houston |
37.2* | 17.7 | 9.3* |
Los Angeles |
38.0* | 16.3 | 12.7 |
Miami |
39.9* | 16.8 | 12.1 |
Minneapolis-St. Paul |
33.6 | 13.1* | 10.4* |
New York |
39.6* | 11.7* | 12.2 |
Philadelphia |
34.3 | 11.6* | 11.6 |
Phoenix |
34.2 | 18.9 | 11.4 |
San Diego |
37.0* | 12.2* | 11.9 |
San Francisco |
41.9* | 12.1* | 11.9 |
Seattle |
36.9* | 14.3 | 11.9 |
St. Louis |
30.7* | 14.9 | 13.0 |
Tampa |
36.3 | 18.2 | 11.6 |
Washington, DC |
37.4* | 10.5* | 12.0 |
Note: An asterisk (*) represents a statistically significant difference from the U.S. average at the 95-percent confidence level. |
Last Modified Date: Tuesday, September 20, 2022