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Thursday, November 03, 2016


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Consumer Expenditures for the Miami Metropolitan Area: 2014 – 15

Households in the Miami-Fort Lauderdale-West Palm Beach, Fla., metropolitan area spent an average of $48,967 per year in 2014–15, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Janet S. Rankin noted that this figure was significantly lower than the $54,715 average expenditure level for households in the United States. Miami-area households allocated their dollars similarly among four of the eight major categories, while the spending shares in three categories were significantly lower than the U.S. average. Housing was the only category that had a significantly higher share locally when compared to the U.S. average. (See chart 1 and table 1.)

Highlights of the Miami area’s 2014–15 spending patterns:

  • Housing: This was the largest expenditure category for Miami-area households and averaged $17,750. Housing accounted for 36.2 percent of the area’s household budget, significantly higher than the 33.1-percent U.S. average. (See table 1.) Housing expenditures shares among the 16 areas nationwide for which data were available ranged from 39.6 percent in New York to 30.3 percent in Detroit. (See table 2.)

  • Transportation: Miami-area household’s spent 18.1 percent of their budgets on transportation, not significantly different from the national average of 17.0 percent. Of the $8,884 in annual transportation expenditures in Miami, 93.6 percent was spent buying and maintaining private vehicles; this compared to the national average of 93.3 percent.

  • Food: The portion of a Miami household’s budget spent on food, 13.8 percent, was not significantly different from the 12.6-percent U.S. average. Miami-area households spent $4,112, or 60.9 percent, of their food dollars on food at home and $2,643 (39.1 percent) on food away from home. In comparison, the average U.S. household spent 57.9 percent of its food budget on food at home and 42.1 percent on food away from home.

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.

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 Data for the nation, the four geographic regions of the U.S., and 16 metropolitan areas nationwide are available at Metropolitan definitions used in the survey are available at The metropolitan area discussed in this release is Miami-Fort Lauderdale-West Palm Beach, Fla., which comprises Broward, Miami-Dade, and Palm Beach Counties in Florida. Metropolitan area news releases for the Consumer Expenditure Survey are available at

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.

Table 1. Average annual expenditures, characteristics, and percent distributions, United States and Miami metropolitan area, 2014–15
Category United

Consumer unit characteristics:


Income before taxes

$68,316 $53,517

Age of reference person

50.4 53.3

Average number in consumer unit:



2.5 2.3

Children under 18

0.6 0.5

Adults 65 and over

0.4 0.4


1.3 1.2


1.9 1.4

Percent homeowner

63 55

Average annual expenditures

$54,715 $48,967*

Percent distribution



100.0 100.0


12.6 13.8

Alcoholic beverages

0.9 1.0


33.1 36.2*

Apparel and services

3.3 4.7


17.0 18.1


7.9 6.0*


5.1 3.6*

Personal care products and services

1.2 1.3


0.2 0.1*


2.3 1.0*

Tobacco products and smoking supplies

0.6 0.4*


1.5 0.9*

Cash contributions

3.3 2.2*

Personal insurance and pensions

11.0 10.5

Note: An asterisk (*) represents a statistically significant difference from the U.S. average at the 95-percent confidence interval.


Table 2. Percent share of average annual expenditures for housing, transportation, and food, United States and 16 metropolitan areas, 2014–15
Area Housing Transportation Food

United States

33.1 17.0 12.6


33.2 16.1 11.1*


34.9 15.8 11.4


34.5* 15.6 12.4

Dallas-Fort Worth

32.8 17.7 12.9


30.3* 18.8 12.2


32.3 20.0* 12.5

Los Angeles

37.4* 15.1* 12.4


36.2* 18.1 13.8

Minneapolis-St. Paul

32.2 16.7 11.2*

New York

39.6* 12.7* 11.0*


35.0* 15.9 11.2*


33.3 16.3 13.0

San Diego

35.8* 15.5 10.5*

San Francisco

37.1* 13.9* 12.1


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: Thursday, November 03, 2016