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.

analyze the consumer expenditure survey (ce) with r the consumer expenditure survey (ce) is the primo data source to understand how americans spend money. participating households keep a running diary about every little purchase over the year. those diaries are then summed up into precise expenditure categories. how else are you gonna know that the average american household spent $34 (±2) on bacon, $826 (±17) on cellular phones, and $13 (±2) on digital e-readers in 2011? an integral component of the market basket calculation in the consumer price index, this survey recently became available as public-use microdata and they're slowly releasing historical files back to 1996. hooray! for a t aste of what's possible with ce data, look at the quick tables listed on their main page - these tables contain approximately a bazillion different expenditure categories broken down by demographic groups. guess what? i just learned that americans living in households with $5,000 to $9,999 of annual income spent an average of $283 (±90) on pets, toys, hobbies, and playground equipment (pdf page 3). you can often get close to your statistic of interest from these web tables. but say you wanted to look at domestic pet expenditure among only households with children between 12 and 17 years old. another one of the thirteen web tables - the consumer unit composition table - shows a few different breakouts of households with kids, but none matching that exact population of interest. the bureau of labor statistics (bls) (the survey's designers) and the census bureau (the survey's administrators) have provided plenty of the major statistics and breakouts for you, but they're not psychic. if you want to comb through this data for specific expenditure categories broken out by a you-defined segment of the united states' population, then let a little r into your life. fun starts now. fair warning: only analyze t he consumer expenditure survey if you are nerd to the core. the microdata ship with two different survey types (interview and diary), each containing five or six quarterly table formats that need to be stacked, merged, and manipulated prior to a methodologically-correct analysis. the scripts in this repository contain examples to prepare 'em all, just be advised that magnificent data like this will never be no-assembly-required. the folks at bls have posted an excellent summary of what's av ailable - read it before anything else. after that, read the getting started guide. don't skim. a few of the descriptions below refer to sas programs provided by the bureau of labor statistics. you'll find these in the C:\My Directory\CES\2011\docs directory after you run the download program. this new github repository contains three scripts: 2010-2011 - download all microdata.R lo op through every year and download every file hosted on the bls's ce ftp site import each of the comma-separated value files into r with read.csv depending on user-settings, save each table as an r data file (.rda) or stat a-readable file (.dta) 2011 fmly intrvw - analysis examples.R load the r data files (.rda) necessary to create the 'fmly' table shown in the ce macros program documentation.doc file construct that 'fmly' table, using five quarters of interviews (q1 2011 thru q1 2012) initiate a replicate-weighted survey design object perform some lovely li'l analysis examples replicate the %mean_variance() macro found in "ce macros.sas" and provide some examples of calculating descriptive statistics using unimputed variables replicate the %compare_groups() macro found in "ce macros.sas" and provide some examples of performing t -tests using unimputed variables create an rsqlite database (to minimize ram usage) containing the five imputed variable files, after identifying which variables were imputed based on pdf page 3 of the user's guide to income imputation initiate a replicate-weighted, database-backed, multiply-imputed survey design object perform a few additional analyses that highlight the modified syntax required for multiply-imputed survey designs replicate the %mean_variance() macro found in "ce macros.sas" and provide some examples of calculating descriptive statistics using imputed variables repl icate the %compare_groups() macro found in "ce macros.sas" and provide some examples of performing t-tests using imputed variables replicate the %proc_reg() and %proc_logistic() macros found in "ce macros.sas" and provide some examples of regressions and logistic regressions using both unimputed and imputed variables replicate integrated mean and se.R match each step in the bls-provided sas program "integr ated mean and se.sas" but with r instead of sas create an rsqlite database when the expenditure table gets too large for older computers to handle in ram export a table "2011 integrated mean and se.csv" that exactly matches the contents of the sas-produced "2011 integrated mean and se.lst" text file click here to view these three scripts for...

Consumer expenditure on recreational books in the United States amounted to 29.32 billion U.S. dollars in 2023, up from just under 27.5 billion a year earlier. Americans tend to spend around 22 billion U.S. dollars on recreational books each year, but the years 2021 to 2023 saw the figure reach and then surpass levels last seen in the early 2000s.

Gallup tracks daily the average dollar amount Americans report spending or charging on a daily basis, not counting the purchase of a home, motor vehicle, or normal household bills. Respondents are asked to reflect on the day prior to being surveyed and results are presented here in both a 3-day and 14-day rolling average. Results are based on telephone interviews with approximately 1,500 national adults; Margin of error is ±3 percentage points.

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.

In 2021, adults in the U.S. spent an average of *** minutes (eight hours and five minutes) with digital media each day. This figure marked an increase of ** minutes compared to the previous year. Traditional vs. digital media usage amid COVID-19 The outbreak of the coronavirus pandemic boosted media consumption across the globe. It also rapidly accelerated the shift from traditional to digital media consumption that has been unfolding in the United States and other markets for the better part of a decade. In 2020, consumers in the U.S. spent less than *** minutes per day using analog media and entertainment formats such as television, radio, or print media. In contrast, they devoted an estimated *** minutes to digital media and entertainment channels. Even though some traditional formats saw a temporary uptick in demand in 2020, the latest forecasts distinctly show that the media usage gap will continue to widen. How do users spend their time online? There has been a great influx of digital media and entertainment formats in recent years. According to a survey carried out in the early days of the pandemic, online video streaming ranked among the most popular digital media activities in the United States. This finding still holds true in 2022, as platforms like Netflix, Prime Video, or Disney+ continue to add highly anticipated titles to their extensive content catalogs. Other popular digital media categories include online audio, social media, and gaming. Not only did online gaming traffic skyrocket in 2020, but young internet users in particular also spend more time watching gaming video content on services like Twitch nowadays.

Consumer spending, formally personal consumption expenditure, measures the total amount spent by Americans on services and new goods and net purchases of used goods, both domestically and abroad. The data for this report is sourced from the Bureau of Economic Analysis and presented in chained 2017 dollars.

The American Time Use Survey (ATUS) provides nationally representative estimates of how, where, and with whom Americans spend their time, and is the only federal survey providing data on the full range of nonmarket activities, from childcare to volunteering. For more information visit https://www.bls.gov/tus/

The statistic shows the expenditure of affluent households, or the so-called highest 20 percent quintile, in the United States on furniture from 2013 to 2023. In 2023, affluent Americans spent some 1,297 U.S. dollars on average on furniture.

Graph and download economic data for Expenditures: Education by Race: White and All Other Races, Not Including Black or African American (CXUEDUCATNLB0903M) from 2003 to 2023 about white, expenditures, education, and USA.

Graph and download economic data for Expenditures: Household Operations by Race: White and All Other Races, Not Including Black or African American (CXUHHOPERLB0903M) from 2003 to 2023 about operating, white, expenditures, households, and USA.

U.S. consumers were asked how much money they spent on average on groceries per week. The findings present that U.S. households' weekly grocery expenditure amounted to about 165 U.S. dollars in 2024. Between 2019 and 2024, the average weekly expenditure grew exponentially, favored by the pandemic first and inflation after. Food affordability Since the pandemic, food affordability has been a challenge for consumers around the world, leading to changes around their food consumption. In the United States, meats, specialty foods and snacks are among the less purchased products, other changes include the purchase of generic products to save money on groceries. Generational differences Due to the rise of online grocery shopping, the difference in generational consumer behavior is significant. Millennials are most likely to shop online for their groceries, followed by Gen Z, while older generations prefer in-store shopping. When it comes to shopping frequency, those aged between 25 and 34 tended to shop more often compared to the youngest and oldest generations.

The Consumer Expenditure Survey (CE) program consists of two surveys: the quarterly Interview survey and the annual Diary survey. Combined, these two surveys provide information on the buying habits of American consumers, including data on their expenditures, income, and consumer unit (families and single consumers) characteristics. The survey data are collected for the U.S. Bureau of Labor Statistics (BLS) by the U.S. Census Bureau. The CE collects all on all spending components including food, housing, apparel and services, transportation, entertainment, and out-of-pocket health care costs. The CE features several arts-related spending categories, including the following items: Spending on Admissions Plays, theater, opera, and concerts Movies, parks, and museums Spending on Reading Newspapers and magazines Books Digital book readers Spending on Other Arts-Related Items Musical instruments Photographic equipment Audio-visual equipment Toys, games, arts and crafts The CE is important because it is the only Federal survey to provide information on the complete range of consumers' expenditures and incomes, as well as the characteristics of those consumers. It is used by economic policymakers examining the impact of policy changes on economic groups, by the Census Bureau as the source of thresholds for the Supplemental Poverty Measure, by businesses and academic researchers studying consumers' spending habits and trends, by other Federal agencies, and, perhaps most importantly, to regularly revise the Consumer Price Index market basket of goods and services and their relative importance. The most recent data tables are for 2019, and were made available on September 9, 2020. The unpublished integrated CE data tables produced by the BLS are available to download through NADAC (click on "Excel" in the Dataset(s) section). Also, see Featured CE Tables and Economic News Releases sections on the CE home page for current data tables and news release. The 1980 through 2019 CE public-use microdata, including Interview Survey data, Diary Survey data, and paradata (information about the data collection process), are available on the CE website.

United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data was reported at 21.365 % in 2014. This records a decrease from the previous number of 21.927 % for 2013. United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data is updated yearly, averaging 23.966 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 26.623 % in 1998 and a record low of 21.365 % in 2014. United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health 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: Health Statistics. Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private health expenditure.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;

Graph and download economic data for Consumer Unit Characteristics: Percent White, Asian, and All Other Races, Not Including African American by Number of Earners: Consumer Units of Two or More People, One Earner (CXUWHTNDOTHLB0705M) from 1984 to 2023 about consumer unit, asian, white, percent, consumer, persons, and USA.

United States US: Number of People Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure data was reported at 2,469,000.000 Person in 2013. This records a decrease from the previous number of 2,689,000.000 Person for 2012. United States US: Number of People Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure data is updated yearly, averaging 2,639,500.000 Person from Dec 1995 (Median) to 2013, with 18 observations. The data reached an all-time high of 3,041,000.000 Person in 2000 and a record low of 2,201,000.000 Person in 2008. United States US: Number of People 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. Number of people spending more than 25% of household consumption or income on out-of-pocket health care expenditure; ; Wagstaff et al. Progress on catastrophic health spending: results for 133 countries. A retrospective observational study, Lancet Global Health 2017.; Sum;

This dataset identifies health care spending at medical services such as hospitals, physicians, clinics, and nursing homes etc. as well as for medical products such as medicine, prescription glasses and hearing aids. This dataset pertains to personal health care spending in general. Other datasets in this series include Medicaid personal health care spending and Medicare personal health care spending.

Government spending in the United States was last recorded at 39.7 percent of GDP in 2024 . This dataset provides - United States Government Spending To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This data collection contains a single concatenated file that merges common variables for respondents from two separate surveys, including 1,241 respondents from AMERICAN'S USE OF TIME, 1965-1966 (ICPSR 7254), and 812 respondents from TIME USE IN ECONOMIC AND SOCIAL ACCOUNTS, 1975-1976 (ICPSR 7580), for a total of 2,053 respondents. The sample was restricted to match the design of the earlier study, so the merged file includes data for individual Americans between 19 and 65 years of age living in cities with a population between 30,000 and 280,000, and in households that had at least one adult employed in a non-farming occupation. Two general types of information were gathered in both studies: sociodemographic background characteristics and time use data for a 24-hour period. The 1965-1966 time use data were obtained from a diary of activities kept by the respondent over a 24-hour period, and the 1975-1976 data were collected in face-to-face interviews. In both cases, the sociodemographic data also were gathered from personal interviews. The merged file contains sociodemographic background data that includes age, sex, race, relationship to head of household, occupation, marital status, number and age of children in household, homeowner/renter status, residence tenure, number of paid household help, number of books owned, church/religious preferences, highest level of education attained, whether raised on a farm, and income level. The time use data in the merged file chronicles activities such as work outside the home, household/domestic work, child care, obtaining goods and services, personal care needs, education and professional training, organization involvement, entertainment/social activities, sports/active leisure, and passive leisure.

In 2023, the ad spending of the American Honda Motor Company in the United States was the highest on television media, reaching a value of 324.83 million U.S. dollars. In contrast, cinema ranked last across all considered media, only amounting to 0.17 million U.S. dollars. Find further statistics regarding the U.S. advertising market like ad spending of Kia Motors America and ad spending of Nissan North America.