Graph and download economic data for Expenditures: Total Average Annual Expenditures by Age: from Age 55 to 64 (CXUTOTALEXPLB0406M) from 1984 to 2023 about age, average, expenditures, and USA.

This statistic depicts the average food away from home household expenditure in the United States in 2023, by age. In that year, household reference persons aged between 35 and 44 spent 4,795 U.S. dollars for food away from home.

Media and entertainment spending patterns in the United States reveal intriguing age-related disparities. A late-2024 study found that Americans spent an average of 1,399 U.S. dollars annually on digital media and entertainment, a slight decrease from two years prior. Notably, consumers aged 35 to 54 outspent other age groups, allocating 1,610 U.S. dollars per year to digital media consumption. Generational differences in media spending The rise of digital platforms has transformed how different age groups consume media. While 66 percent of the general population spent less than 1,000 U.S. dollars on media and entertainment annually, this figure rose to 77 percent for those aged 55 and older. Interestingly, it is not the youngest age group that was ready to spend more on media subscriptions, services and products, but millennials - their annual expenses were more likely to reach up to five thousand U.S. dollars. This disparity suggests that younger and older generations may be more frugal with their entertainment choices. Consumption follows similar age patterns The spending behavior is a direct result of how different generations consume media. Data on time spent with media types in the United States clearly suggest that millennials favor the more expensive ones - they devote more of their weekly hours to TV connected devices and video on a computer, as well as apps on tablets and internet on a computer. These media are the ones hosting the majority of subscription services - hence the increased spending outcomes. Younger and older generations in this case seem to spend more of their time with free entertainment sources.

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

This statistic depicts the average annual household expenditure per consumer unit in Canada in 2017, distinguished by age of householder. In 2017, Canadian households headed by a senior, aged 65 years and older, reported the lowest average spending of all household types at 60,359 Canadian dollars.

In 2024, households in Japan with a household head aged between 50 and 59 years old spent a monthly average of about 326.4 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 204.1 thousand yen on average.

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.

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.

This statistic represents the average vehicle purchase expenditure by Americans in 2016, with a breakdown by type of expenditure and age of consumer. Americans aged between 25 and 34 spent, on average, 1,906 U.S. dollars on gasoline and motor oil in 2016.

United States CES: 55 to 64Yrs: Average Annual Expenditure data was reported at 61,346.000 USD in 2016. This records an increase from the previous number of 58,781.000 USD for 2015. United States CES: 55 to 64Yrs: Average Annual Expenditure data is updated yearly, averaging 39,394.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 61,346.000 USD in 2016 and a record low of 23,401.000 USD in 1984. United States CES: 55 to 64Yrs: Average Annual Expenditure 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.

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]

Sampling procedure

A. SURVEY SAMPLE DESIGN

Samples for the CE are national probability samples of households designed to be representative of the total U. S. civilian population. Eligible population includes all civilian noninstitutional persons.

The first step in sampling is the selection of primary sampling units (PSUs), which consist of counties (or parts thereof) or groups of counties. The set of sample PSUs used for the 2005 sample is composed of 102 areas. The design classifies the PSUs into four categories:

• 28 "A" certainty PSUs are Metropolitan Statistical Areas (MSA's) with a population greater than 1.5 million. • 42 "B" PSUs, are medium-sized MSAs. • 16 "C" PSUs are nonmetropolitan areas that are included in the CPI. • 16 "D" PSUs are nonmetropolitan areas where only the urban population data will be included in the CPI.

The sampling frame (that is, the list from which housing units were chosen) for the 2005 survey is generated from the 2000 Population Census file. The sampling frame is augmented by new construction permits and by techniques used to eliminate recognized deficiencies in census coverage. All Enumeration Districts (EDs) from the Census that fail to meet the criterion for good addresses for new construction, and all EDs in nonpermit-issuing areas are grouped into the area segment frame.

To the extent possible, an unclustered sample of units is selected within each PSU. This lack of clustering is desirable because the sample size of the Diary Survey is small relative to other surveys, while the intraclass correlations for expenditure characteristics are relatively large. This suggests that any clustering of the sample units could result in an unacceptable increase in the within-PSU variance and, as a result, the total variance.

Each selected sample unit is requested to keep two 1-week diaries of expenditures over consecutive weeks. The earliest possible day for placing a diary with a household is predesignated with each day of the week having an equal chance to be the first of the reference week. The diaries are evenly spaced throughout the year.

B. COOPERATION LEVELS

The annual target sample size at the United States level for the Diary Survey is 7,800 participating sample units. To achieve this target the total estimated work load is 11,275 sample units. This allows for refusals, vacancies, or nonexistent sample unit addresses.

Each participating sample unit selected is asked to keep two 1-week diaries. Each diary is treated independently, so response rates are based on twice the number of housing units sampled.

Mode of data collection

Computer Assisted Personal Interview [capi]

Response rate

The response rate for the 2005 Diary Survey is 68.9%. This response rate refers to all diaries in the year.

United States CES: 25 to 34Yrs: Average Annual Expenditure data was reported at 52,838.000 USD in 2016. This records an increase from the previous number of 52,062.000 USD for 2015. United States CES: 25 to 34Yrs: Average Annual Expenditure data is updated yearly, averaging 38,945.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 52,838.000 USD in 2016 and a record low of 22,294.000 USD in 1984. United States CES: 25 to 34Yrs: Average Annual Expenditure 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.

Survey of Household Spending (SHS), average household spending, Canada, regions and provinces.

The statistic shows the average spending of consumers in the United States on eating out in 2017, by age. In that year, consumers in the U.S. aged 45 to 54 years spent an average of 4,157 U.S. dollars on eating out.

(StatCan Product) Customization details: This information product has been customized to present information on average household expenditures by household type and age in Alberta for 2010. The age groups presented are outlined below. They are split into 3 separate household types: 1) Alberta (as a whole); 2) One person households; 3) Families. For each of these household types, the age groupings are presented as follows: Total; Less than 35 yrs; 35 to 44 yrs; 45 to 54 yrs; 55 to 64 yrs; Less than 65 yrs; 65 to 74 yrs; 65 yrs plus; 75 yrs plus. The expenditures reported are from these 14 main categories which are broken down even further within this information product: Food; Shelter; Household Operation; Household Furnishings and Equipment; Clothing; Transportation; Health Care; Personal Care; Recreation; Reading materials and other printed matter; Education; Tobacco Products and Alcoholic Beverages; Games of Chance (Net); Miscellaneous Expenditures. The following are also presented: Total Expenditures; Total Current Consumption; Personal Taxes; Personal insurance payments and pension contributions; Gifts of money and contributions. The Survey of Household Spending is carried out annually across Canada in the ten provinces. Data for the territories are available for 1998, 1999 and every second year thereafter. The main purpose of the survey is to obtain detailed information about household spending during the reference year (previous calendar year). Information is also collected about dwelling characteristics as well as household equipment. The survey data are used by the following groups: Government departments use the data to help formulate policy; Community groups, social agencies and consumer groups use the data to support their positions and to lobby governments for social changes; Lawyers and their clients use the data to determine what is fair for child support and other compensation; Labour and contract negotiators rely on the data when discussing wage and cost-of-living clauses; Individuals and families can use the data to compare their spending habits with those of similar types of households. Conducted since 1997, the Survey of Household Spending integrates most of the content found in the Family Expenditure Survey (FAMEX, record number 3504) and the Household Facilities and Equipment Survey (HFE, record number 3505). As of the 2004 reference year, the Homeowner Repair and Renovation Survey (HRRS, record number 3886) was integrated into the Survey of Household Spending.

United States CES: 55 to 64Yrs: IBT: Other Income data was reported at 323.000 USD in 2016. This records an increase from the previous number of 218.000 USD for 2015. United States CES: 55 to 64Yrs: IBT: Other Income data is updated yearly, averaging 119.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 323.000 USD in 2016 and a record low of 55.000 USD in 1985. United States CES: 55 to 64Yrs: IBT: Other Income 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.

Average expenditure on digital goods and services, physical goods, peer-to-peer services and other services ordered over Internet among online shoppers during the past 12 months.

Detailed breakdown of average weekly household expenditure on goods and services in the UK. Data are shown by place of purchase, income group (deciles) and age of household reference person.

This statistic depicts the average food at home household expenditure in the United States in 2023, by age. In that year, household reference persons aged between 35 and 44 spent 7,211 U.S. dollars for food at home on average.