This statistic shows the average annual expenditure on beauty products among Black consumers in the United States in 2017, by product type. In 2017, Black consumers in the U.S. spent about 473 million U.S. dollars on hair care products.

Graph and download economic data for Expenditures: Apparel and Services by Race: Black or African American (CXUAPPARELLB0905M) from 1984 to 2023 about apparel, African-American, expenditures, services, and USA.

In 2023, housing required the highest amount of consumer expenditure across all races, with Asian individuals spending the most. Additionally, Asian individuals spent more on personal insurance and pensions, as well as education than any other race.

This statistic shows the results of a survey conducted in the United States in October 2018. U.S. consumers were asked how their total spending would most likely compare with the previous year's Black Friday expenditure. During the survey, 32 percent of the respondents aged 18 to 29 years said that they will spend more on Black Friday 2018.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Race: Black or African American (CXUTOTALEXPLB0905M) from 1984 to 2023 about African-American, average, expenditures, and USA.

Graph and download economic data for Expenditures: Household Operations by Race: Black or African American (CXUHHOPERLB0905M) from 1984 to 2023 about operating, African-American, expenditures, households, and USA.

This statistic shows the results of a survey conducted in the United States in October 2018. U.S. consumers were asked how their total spending would most likely compare with the previous year's Black Friday expenditure. During the survey, 15 percent of the female respondents said that they will spend more on Black Friday 2018.

In 2020, Hispanic consumers accounted for nearly 15 percent of spending at Target, while African Americans represented nearly nine percent. Meanwhile, White consumers accounted for nearly 67 percent of the company's consumer spending share.

Graph and download economic data for Expenditures: Food Away from Home by Race: White and All Other Races, Not Including Black or African American (CXUFOODAWAYLB0903M) from 2003 to 2023 about white, expenditures, food, and USA.

In 2020, white consumers accounted for nearly 74 percent of spending at Walmart in the United States, while Hispanics represented almost 11 percent. Meanwhile, Asians represented 3.2 percent of the consumer spending share.

Graph and download economic data for Expenditures: Housing by Race: Black or African American (CXUHOUSINGLB0905M) from 1984 to 2023 about African-American, expenditures, housing, and USA.

Abstract

The Consumer Expenditure Survey (CE) program provides a continuous and comprehensive flow of data on the buying habits of American consumers. These data are used widely in economic research and analysis, and in support of revisions of the Consumer Price Index. To meet the needs of users, the Bureau of Labor Statistics (BLS) produces population estimates (for consumer units or CUs) of average expenditures in news releases, reports, and articles in the Monthly Labor Review. Tabulated CE data are also available on the Internet and by facsimile transmission (see Section XVI. Appendix 5). These microdata files present detailed expenditure and income data for the Diary component of the CE for 2005. They include weekly expenditure (EXPD), annual income (DTBD) files, and imputed income files (DTID). The data in EXPD, DTBD, and DTID files are categorized by a Universal Classification Code (UCC). The advantage of the EXPD and DTBD files is that with the data classified in a standardized format, the user may perform comparative expenditure (income) analysis with relative ease. The FMLD and MEMD files present data on the characteristics and demographics of CUs and CU members. The summary level expenditure and income information on the FMLD files permits the data user to link consumer spending, by general expenditure category, and household characteristics and demographics on one set of files. Estimates of average expenditures in 2005 from the Diary survey, integrated with data from the Interview survey, are published in Consumer Expenditures in 2005. A list of recent publications containing data from the CE appears at the end of this documentation. The microdata files are in the public domain and, with appropriate credit, may be reproduced without permission. A suggested citation is: “U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, Diary Survey, 2005”.

State Identifier Since the CE is not designed to produce state-level estimates, summing the consumer unit weights by state will not yield state population totals. A CU's basic weight reflects its probability of selection among a group of primary sampling units of similar characteristics. For example, sample units in an urban nonmetropolitan area in California may represent similar areas in Wyoming and Nevada. Among other adjustments, CUs are post-stratified nationally by sex-age-race. For example, the weights of consumer units containing a black male, age 16-24 in Alabama, Colorado, or New York, are all adjusted equivalently. Therefore, weighted population state totals will not match population totals calculated from other surveys that are designed to represent state data. To summarize, the CE sample was not designed to produce precise estimates for individual states. Although state-level estimates that are unbiased in a repeated sampling sense can be calculated for various statistical measures, such as means and aggregates, their estimates will generally be subject to large variances. Additionally, a particular state-population estimate from the CE sample may be far from the true state-population estimate.

Interpreting the data Several factors should be considered when interpreting the expenditure data. The average expenditure for an item may be considerably lower than the expenditure by those CUs that purchased the item. The less frequently an item is purchased, the greater the difference between the average for all consumer units and the average of those purchasing. (See Section V.B. for ESTIMATION OF TOTAL AND MEAN EXPENDITURES). Also, an individual CU may spend more or less than the average, depending on its particular characteristics. Factors such as income, age of family Members, geographic location, taste and personal preference also influence expenditures. Furthermore, even within groups with similar characteristics, the distribution of expenditures varies substantially.
Expenditures reported are the direct out-of-pocket expenditures. Indirect expenditures, which may be significant, may be reflected elsewhere. For example, rental contracts often include utilities. Renters with such contracts would record no direct expense for utilities, and therefore, appear to have no utility expenses. Employers or insurance companies frequently pay other costs.CUs with Members whose employers pay for all or part of their health insurance or life insurance would have lower direct expenses for these items than those who pay the entire amount themselves. These points should be considered when relating reported averages to individual circumstances.

The Diary survey PUMD are organized into five major data files for each quarter: 1. FMLD - a file with characteristics, income, and summary level expenditures for the household 2. MEMD - a file with characteristics and income for each member in the household
3. EXPD - a detailed weekly expenditure file categorized by UCC 4. DTBD - a detailed annual income file categorized by UCC
5. DTID - a household imputed income file categorized by UCC

Analysis unit

Consumer Unit

Kind of data

Sample survey data [ssd]

Mode of data collection

Computer Assisted Personal Interview [capi]

In late 2020, Hispanic and African American consumers each accounted for nearly a tenth all Amazon retail spending in the United States. Meanwhile, white consumers led the list, representing over 70 percent of the e-commerce platform's consumer spending share.

Graph and download economic data for Expenditures: Major Appliances by Race: White, Asian, and All Other Races, Not Including Black or African American (CXUMAJAPPLLB0902M) from 1984 to 2023 about major, appliances, asian, white, expenditures, and USA.

In the Netherlands, consumers intending to participate in Black Friday expected to spend an average of roughly 330 euros during the holiday shopping event in 2022, which is a significant increase compared to the previous year. Compared to four years earlier, average per capita spending among Dutch shoppers has increased by 100 euros.

In 2023, less than 15 percent of surveyed consumers in the Netherlands believed they would spend less on Black Friday in comparison to how much they spent in 2022. Nearly two-thirds of Dutch shoppers believed their spending habits would not change.

Graph and download economic data for Consumer Unit Characteristics: Percent Black or African American by Income Before Taxes: $150,000 to $199,999 (CXU980270LB0222M) from 2015 to 2023 about consumer unit, African-American, tax, percent, income, and USA.

During Black Friday and Cyber Monday of 2024, 58 percent of French respondents expected to spend at least what they did last year. 26 percent anticipated to spend less than last year, and 17 did not know how much they will spend.

The Black Friday in the UK – 2019 report forms part of GlobalData’s Retail Occasions series, and offers a comprehensive insight into the consumer dynamics and spending habits of UK consumers for Black Friday The report analyses the market, the major players, the main trends, and consumer attitudes. Read More

Graph and download economic data for Expenditures: Water and Other Public Services by Race: Black or African American (CXUWATERLB0905M) from 1984 to 2023 about water, public, African-American, expenditures, services, and USA.