Graph and download economic data for Expenditures: Total Average Annual Expenditures by Age: from Age 25 to 34 (CXUTOTALEXPLB0403M) from 1984 to 2023 about age, 25 years +, average, expenditures, and USA.

Survey of Household Spending (SHS), average household spending by age of reference person.

In 2024, households in Japan with a household head aged between 50 and 59 years old spent a monthly average of about ***** thousand Japanese yen on consumption expenditures, the highest among households. By comparison, the monthly consumer spending of households with a head aged 29 years and younger amounted to around ***** thousand yen on average.

Graph and download economic data for Expenditures: Other Household Products by Age: from Age 25 to 34 (CXUHKPGOTHRLB0403M) from 1984 to 2023 about age, 25 years +, expenditures, households, and USA.

As of March 2020, almost thirty percent of American consumers over the age of 65 stated that they expected to spend less on internationally made products due to the coronavirus outbreak. More than a quarter (26 percent) of this cohort expected to spend more on goods made in the USA. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

The average weekly household expenditure for households where the reference person was aged between 30 and 49 in the United Kingdom was approximately 608.4 British pounds a week in 2021/22, the highest of the provided age groups. Households where the reference person was over the age of 75 had the lowest average weekly expenditure, at 356.3 pounds a week.

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 (CUs) of average expenditures in news releases, reports, issues, and articles in the Monthly Labor Review. Tabulated CE data are also available on the Internet and by facsimile transmission (See Section XV. APPENDIX 4). The microdata are available online at http://www/bls.gov/cex/pumdhome.htm. These microdata files present detailed expenditure and income data for the Diary component of the CE for 2002. They include weekly expenditure (EXPD) and annual income (DTBD) files. The data in EXPD and DTBD 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 2002 from the Diary survey, integrated with data from the Interview survey, are published in Consumer Expenditures in 2002. 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, 2002".

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.

Analysis unit

Consumer Unit

Kind of data

Sample survey data [ssd]

Mode of data collection

Computer Assisted Personal Interview [capi]

The Consumer Expenditure Survey (CE) consists of two parts: the Quarterly Interview Survey and the Diary Survey. Both surveys provide information on the purchasing habits of American consumers, including data on their expenditures, income, and consumer unit characteristics (e.g., age, education, occupation). The Quarterly Interview Survey (CEQ) includes information on monthly out-of-pocket expenses like housing, apparel, transportation, healthcare, insurance, and entertainment. The Diary Survey (CED) includes information on frequently purchased items like food, beverages, tobacco, personal care products, and nonprescription drugs. Approximately 20,000 independent interview surveys and 11,000 independent diary surveys are completed annually. The United States Bureau of Labor Statistics (BLS) publishes 12-month estimates of consumer expenditures annually, summarized by various income levels and demographic characteristics. Geographic data is available at the national level; for regions, divisions, selected states, and selected metropolitan statistical areas; and by population size of area.

The Consumer Expenditure Survey (CE) program provides a continuous and comprehensive flow of data on the buying habits of American consumers, including data on their expenditures, income, and consumer unit (families and single consumers) characteristics. These data are used widely in economic research and analysis, and in support of revisions of the Consumer Price Index. The CE program is comprised of two separate components (each with its own survey questionnaire and independent sample), the Diary Survey and the quarterly Interview Survey (ICPSR 36237). This data collection contains the Diary Survey component, which was designed to obtain data on frequently purchased smaller items, including food, housing, apparel and services, transportation, entertainment, and out-of-pocket health care costs. Each consumer unit (CU) recorded its expenditures in a diary for two consecutive 1-week periods. Although the diary was designed to collect information on expenditures that could not be easily recalled over time, respondents were asked to report all expenses (except overnight travel) that the CU incurred during the survey week. The 2013 Diary Survey release contains five sets of data files (FMLD, MEMD, EXPD, DTBD, DTID), and one processing file (DSTUB). The FMLD, MEMD, EXPD, DTBD, and DTID files are organized by the quarter of the calendar year in which the data were collected. There are four quarterly datasets for each of these files. The FMLD files contain CU characteristics, income, and summary level expenditures; the MEMD files contain member characteristics and income data; the EXPD files contain detailed weekly expenditures at the Universal Classification Code (UCC) level; the DTBD files contain the CU's reported annual income values or the mean of the five imputed income values in the multiple imputation method; and the DTID files contain the five imputed income values. Please note that the summary level expenditure and income information on the FMLD files permit the data user to link consumer spending, by general expenditure category, and household characteristics and demographics on one set of files. The DSTUB file provides the aggregation scheme used in the published consumer expenditure tables. The DSTUB file is further explained in Section III.F.6. "Processing Files" of the Diary Survey Users' Guide. A second documentation guide, the "Users' Guide to Income Imputation," includes information on how to appropriately use the imputed income data. Demographic and family characteristics data include age, sex, race, marital status, and CU relationships for each CU member. Income information was also collected, such as wage, salary, unemployment compensation, child support, and alimony, as well as information on the employment of each CU member age 14 and over. The unpublished integrated CE data tables produced by the BLS are available to download through NADAC (click on "Other" in the Dataset(s) section). The tables show average and percentile expenditures for detailed items, as well as the standard error and coefficient of variation (CV) for each spending estimate. The BLS unpublished integrated CE data tables are provided as an easy-to-use tool for obtaining spending estimates. However, users are cautioned to read the BLS explanatory letter accompanying the tables. The letter explains that estimates of average expenditures on detailed spending items (such as leisure and art-related categories) may be unreliable due to so few reports of expenditures for those items.

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

CES: 25 to 34Yrs: AAE: Reading data was reported at 69.000 USD in 2016. This records a decrease from the previous number of 86.000 USD for 2015. CES: 25 to 34Yrs: AAE: Reading data is updated yearly, averaging 116.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 142.000 USD in 1992 and a record low of 60.000 USD in 2013. CES: 25 to 34Yrs: AAE: Reading data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H040: Consumer Expenditure Survey: By Age Group.

CES: 25 to 34Yrs: AAE: Housing: HF: Miscellaneous Household Eqpt data was reported at 656.000 USD in 2016. This records a decrease from the previous number of 791.000 USD for 2015. CES: 25 to 34Yrs: AAE: Housing: HF: Miscellaneous Household Eqpt data is updated yearly, averaging 621.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 1,013.000 USD in 2007 and a record low of 265.000 USD in 1984. CES: 25 to 34Yrs: AAE: Housing: HF: Miscellaneous Household Eqpt data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H040: Consumer Expenditure Survey: By Age Group.

CES: 25 to 34Yrs: AAE: Food: AH: Dairy Products data was reported at 401.000 USD in 2016. This records an increase from the previous number of 378.000 USD for 2015. CES: 25 to 34Yrs: AAE: Food: AH: Dairy Products data is updated yearly, averaging 317.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 401.000 USD in 2016 and a record low of 241.000 USD in 1984. CES: 25 to 34Yrs: AAE: Food: AH: Dairy Products data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H040: Consumer Expenditure Survey: By Age Group.

CES: 25 to 34Yrs: AAE: Housing: HF: Floor Coverings data was reported at 17.000 USD in 2017. This records an increase from the previous number of 15.000 USD for 2016. CES: 25 to 34Yrs: AAE: Housing: HF: Floor Coverings data is updated yearly, averaging 39.000 USD from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 126.000 USD in 1991 and a record low of 11.000 USD in 2011. CES: 25 to 34Yrs: AAE: Housing: HF: Floor Coverings data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H043: Consumer Expenditure Survey: By Age Group.

CES: 25 to 34Yrs: AAE: Healthcare: Health Insurance data was reported at 1,989.000 USD in 2016. This records a decrease from the previous number of 1,999.000 USD for 2015. CES: 25 to 34Yrs: AAE: Healthcare: Health Insurance data is updated yearly, averaging 640.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 1,999.000 USD in 2015 and a record low of 230.000 USD in 1986. CES: 25 to 34Yrs: AAE: Healthcare: Health Insurance data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H040: Consumer Expenditure Survey: By Age Group.

Graph and download economic data for Expenditures: Healthcare by Age: Under Age 25 (CXUHEALTHLB0402M) from 1984 to 2023 about healthcare, age, health, expenditures, and USA.

The statistic displays the average planned back-to-school expenditure for consumers in the United States in 2021, by age group. According to the survey, U.S. consumers aged between 25 and 34 planned to spend an average of ******** U.S. dollars on back-to-school supplies.

In 2023, married couple without children households spent 88,684 U.S. dollars on average. Married couples with an eldest child between the ages of 6 and 17 had the highest average expenditure, at 117,808 U.S. dollars.

Food was the category where Brazilians spent the **** each month in 2018, according to a survey. Among people surveyed between 18 to 45 years old, this expenditure was ****** than among older people. Housing and public utilities' expenditure followed in the ****** place for all age groups that year. When it comes to savings, respondents in Brazil between 46 and 65 years old destined **** of their spending to this category in 2018.

United States CES: 25 to 34Yrs: AAE: Housing: HO: Other Household Expenses data was reported at 688.000 USD in 2016. This records an increase from the previous number of 686.000 USD for 2015. United States CES: 25 to 34Yrs: AAE: Housing: HO: Other Household Expenses data is updated yearly, averaging 230.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 688.000 USD in 2016 and a record low of 111.000 USD in 1987. United States CES: 25 to 34Yrs: AAE: Housing: HO: Other Household Expenses data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H040: Consumer Expenditure Survey: By Age Group.