In 2023, the average expenditures in a household led by a Millennial in the United States came to ****** U.S. dollars per year. The only generation with higher expenditures were households led by someone from Generation X with around ****** U.S. dollars per year.

Consumers from Generation Z appear particularly concerned about the economy. Over 90 percent of Gen Z consumers are worried about their personal financial situations and nearly half (40 percent) of them are taking action to keep up with inflation.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Age: from Age 35 to 44 (CXUTOTALEXPLB0404M) from 1984 to 2023 about age, average, expenditures, and USA.

According to a late 2023 survey, ** percent of U.S. adults spent between 0 and 100 U.S. dollars per month on cable TV and/or video streaming services. The silent generation paid the most for video content, with ** percent of respondents spending more than 100 U.S. dollars per month. Meanwhile, the share of Gen Z adults paying this amount was only ** percent.

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

In 2024, Generation Z consumers in the United States and the United Kingdom were asked where they prioritized their spending the most. Aside from rent or mortgage payments and other household bills, ********* were the main category. ************************ came in second place.

Graph and download economic data for Expenditures: Apparel and Services by Generation: Birth Year from 1946 to 1964 (CXUAPPARELLB1604M) from 2016 to 2023 about birth, apparel, expenditures, services, and USA.

This statistic shows annual expenditure per consumer on pet products as percentage of their income in the United States, by generation. In 2023, U.S. Baby Boomers were the generation that spent higher share of their income on pet products than any other generation.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Generation: Birth Year from 1946 to 1964 (CXUTOTALEXPLB1604M) from 2016 to 2023 about birth, average, expenditures, and USA.

Nearly half of Chinese consumers aged between 18 and 24 planned to spend more on clothing in the coming year, according to a survey conducted in October 2024. Younger generations from larger cities and with higher incomes demonstrated a stronger desire to increase their clothing budgets.

Consumers in the United States born between 1946 to 1964 spent the most money on alcohol among all generations. Consumers in that generation spent a total of **** billion U.S. dollars. Consumers born in 1997 or later spent only **** billion dollars during the same period.

Annual data on Household Final Consumption Expenditure broken down by COICOP categories and by certain cross-sectional variables.

The main purpose of this survey at national level is to update the weights of the basket of goods and services used for the calculation of the HICP (Harmonised Indices of Consumer Prices). However it may also be used for many other purposes either at national or European level: economic studies, social analyses, market research…

Presented data are: mean consumption expenditure of private households; structure of mean consumption expenditure and household characteristics.

Household final consumption expenditure is measured in national currency, Euro and PPS (Purchasing Power Standard).

Household budget survey (HBS) data are collected via the National HBS surveys in each participating country. Data collection involves a combination of one or more interviews and diaries maintained by households and/or individuals, generally on a daily basis. Following the adoption of innovative solutions for the data collection, it will be possible to collect some information directly through the use of apps, electronic diaries or special cards so the respondents' burden will be lowered.

Data collection is approximately every 5 years: 1988, 1994, 1999, 2005, 2010, 2015 and 2020. Next reference year is 2026.

The Cyprus, France and Malta Household Budget Survey Data for the year 2020, have been produced by converting the Cyprus, France and Malta Household Budget Survey Data for the year 2015 to 2020 Reference Year prices using the 2020 HICP coefficient.

This statistic shows the average annual expenditure on footwear by consumers in the United States in 2023, by generation. In 2023, Gen X were the highest spenders on footwear among the reported age groups, spending an average of 594 U.S. dollars in the year.

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.

Abstract

The Consumer Expenditure (CE) program provides a continuous and comprehensive flow of the data on the buying habits of American consumers. These data are used widely in economic research and analysis, and in support of the revision of the Consumer Price Index. To meet the needs of users, The Bureau of Labor Statistics produces population estimates (for consumer units or Cu's) of average expenditure in new releases, reports and articles in the Monthly Labour review. Tabulated CE data are also available on the internet and by facsimile transmission. These microdata files present detailed expenditure and income data for the Diary component of the CE for 2004. They include weekly expenditure (EXPD), annual income (DTBD) files, and imputed income files (DTBD_IMPUTED1). The data in EXPD, DTBD, and DTBD_IMPUTED 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 2004 from the Diary survey, integrated with data from the Interview survey, are published in Consumer Expenditures in 2004 (Due in 2006).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, 2004”.

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]

Graph and download economic data for Expenditures: Apparel, Children Under 2 by Age: from Age 65 to 74 (CXUINFANTLB0408M) from 1984 to 2021 about 65-years +, age, apparel, child, expenditures, and USA.

This statistic shows the average annual expenditure on womenswear by consumers in the United States in 2023, by generation. In 2023, Generation X was the highest spending generation on womenswear, spending *** U.S. dollars on average in the year.

Graph and download economic data for Expenditures: Apparel, Women, 16 and over by Age: from Age 25 to 34 (CXUWOMENSLB0403M) from 1984 to 2023 about age, apparel, 25 years +, females, expenditures, and USA.

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.