In 2023, the average consumer unit in the United States spent about 9,985 U.S. dollars on food. Americans spent the most on housing, at 25,436 U.S. dollars, reflecting around one third of annual expenditure. The total average U.S. consumer spending amounted to 77,280 U.S. dollars.

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.

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

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Quintiles of Income Before Taxes: Highest 20 Percent (81st to 100th Percentile) (CXUTOTALEXPLB0106M) from 1984 to 2023 about percentile, tax, average, expenditures, income, and USA.

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.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Type of Area: Urban (CXUTOTALEXPLB1802M) from 1984 to 2020 about average, expenditures, urban, and USA.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Race: White, Asian, and All Other Races, Not Including Black or African American (CXUTOTALEXPLB0902M) from 1984 to 2023 about asian, average, white, expenditures, and USA.

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, ***** U.S. dollars on gasoline and motor oil in 2016.

Annual average net outlays for vehicle purchases came to above ***** U.S. dollars for all U.S. consumers in 2023, ranging between around ***** U.S. dollars for those in the lowest income bracket to nearly ****** U.S. dollars for consumers in the highest income group.

Key information about United States Household Expenditure per Capita

• United States Annual Household Expenditure per Capita reached 30,912.000 USD in Dec 2023, compared with the last update number of 30,402.917 USD in Dec 2022.
• US Annual Household Expenditure per Capita data is updated yearly, available from Dec 1984 to Dec 2023, with an averaged value of 16,842.400 USD.
• The data reached an all-time high of 30,912.000 USD in Dec 2023 and a record low of 8,451.923 USD in Dec 1984.
• In the latest reports, Retail Sales of US grew 0.967 % YoY in May 2023.

Consumer Spending in the United States increased to 16291.80 USD Billion in the first quarter of 2025 from 16273.20 USD Billion in the fourth quarter of 2024. This dataset provides the latest reported value for - United States Consumer Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This statistic presents the average food at home household expenditure in the United States in 2023, by ethnicity and category. In that year, Asian households spent 1,386 U.S. dollars for fruits and vegetables on average.

United States US: Proportion of Population Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure: % data was reported at 0.781 % in 2013. This records a decrease from the previous number of 0.856 % for 2012. United States US: Proportion of Population Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure: % data is updated yearly, averaging 0.880 % from Dec 1995 (Median) to 2013, with 18 observations. The data reached an all-time high of 1.078 % in 2000 and a record low of 0.724 % in 2008. United States US: Proportion of Population Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Poverty. Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure, expressed as a percentage of a total population of a country; ; Wagstaff et al. Progress on catastrophic health spending: results for 133 countries. A retrospective observational study, Lancet Global Health 2017.; Weighted Average;

According to a study of iOS users in the United States, spending on Amazon marketplace changes by generation and product category. The biggest gap was in consumer electronics. Users from Generation X would spend 142.5 U.S. dollars on this category of products, followed by Gen Z shoppers at 115.4 U.S. dollars. In turn, Millennials would not spend more than 57.4 U.S. dollars, on average.

In 2023, the average annual expenditures of households in the United States amounted to about 77,280 U.S. dollars per year. This was an increase from the previous year, reflecting an increase of around six percent between 2022 and 2023.

The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

Graph and download economic data for Expenditures: Total Average Annual Expenditures: All Consumer Units (CXUTOTALEXPLB0101M) from 1984 to 2023 about consumer unit, average, expenditures, and USA.

United States US: Number of People Pushed Below the 50% Median Consumption Poverty Line by Out-of-Pocket Health Care Expenditure data was reported at 1,848,000.000 Person in 2013. This records a decrease from the previous number of 1,986,000.000 Person for 2012. United States US: Number of People Pushed Below the 50% Median Consumption Poverty Line by Out-of-Pocket Health Care Expenditure data is updated yearly, averaging 2,141,000.000 Person from Dec 1995 (Median) to 2013, with 18 observations. The data reached an all-time high of 3,810,000.000 Person in 1996 and a record low of 1,604,000.000 Person in 2011. United States US: Number of People Pushed Below the 50% Median Consumption Poverty Line by Out-of-Pocket Health Care Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Poverty. Number of people pushed below the 50% median consumption poverty line by out-of-pocket health care expenditure; ; Wagstaff et al. Progress on Impoverishing Health Spending: Results for 122 Countries. A Retrospective Observational Study, Lancet Global Health 2017; Sum;

The Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.

Food and clothing were the top two categories for average-income American teen spending as of Fall 2018. Each category accounted for a ** percent share of total expenditures. Accessories, personal care and cosmetics came in third place with a spending share of ** percent. Just * percent of teen expenditure went on books and magazines. What are teens’ favorite brands to buy? When it comes to clothing, the majority of average-income male teens in the U.S. prefer to purchase Nike products; some ** percent of teenage boys stated that the athletic apparel brand is their leading choice for clothing. Teenage girls, on the other hand, mostly prefer American Eagle when buying clothes. Nike was also the frontrunner when both male and female teenagers were asked which footwear brand they prefer, followed by Vans and Adidas. This brand preference is evidenced in Nike’s revenue figures in the United States. In 2018, their revenue reached around ***** billion U.S. dollars, which is almost a *** percent increase over a twenty-year period.