Graph and download economic data for Shares of gross domestic product: Personal consumption expenditures (DPCERE1Q156NBEA) from Q1 1947 to Q2 2025 about Shares of GDP, PCE, consumption expenditures, consumption, personal, GDP, and USA.

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.

Personal Spending in the United States increased 0.60 percent in August of 2025 over the previous month. This dataset provides the latest reported value for - United States Personal Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Female consumer spending was expected to reach approximately ** trillion U.S. dollars worldwide in 2018, an increase from around ** trillion U.S. dollars in 2013. This large increase of over *** trillion U.S. dollars is no surprise when you consider the fast development of the world’s population.

What is consumer spending?

Consumer spending is what individuals, or households, spend to satisfy their everyday needs. This can include services such as healthcare and banking, as well as durable and non-durable consumer goods. Durable goods are more hardy goods which do not need to be purchased so often, such as kitchen appliances or furniture. Non-durable goods have a shorter lifespan and need to be purchased more frequently, such as food, apparel and toiletries. Consumer spending is a key driving force of economies worldwide.

Grocery spending

Due to our need to eat and stay hydrated, grocery shopping makes up a large segment of consumer spending. In the United States alone, consumer spending in supermarkets and grocery stores is forecast to reach around **** billion U.S. dollars by 2020. There is also a very large market for eating out at restaurants in the United States, as the country has the highest share of consumer restaurant spending worldwide.

In the third quarter of 2024, consumer spending reached over **** trillion U.S. dollars in the United States. In the same quarter of the previous year, consumer spending was around **** trillion U.S. dollars.

View data of PCE, an index that measures monthly changes in the price of consumer goods and services as a means of analyzing inflation.

Consumer Spending in France increased to 344702 EUR Million in the second quarter of 2025 from 344416 EUR Million in the first quarter of 2025. This dataset provides the latest reported value for - France Consumer Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Real Personal Consumption Expenditures (PCEC96) from Jan 2007 to Aug 2025 about headline figure, PCE, consumption expenditures, consumption, personal, real, and USA.

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...

In 2022, total private consumer spending per German household was around 2,850 euros. This sum was made up of various types of costs, of which the largest share was taken up by housing, energy, and home maintenance. Other large spending groups included food and transport. To spend or not to spend On average, the graph at hand is a representation of the life of German consumers, and the financial decisions which must be made in terms of spending. Individual consumer goods recorded varying levels of expenditure over the years. For example, German consumers spent more on clothing and shoes after the COVID-19 pandemic than before. Food spending has also increased annually in recent years. While shoppers may not necessarily be buying more food than usual, higher food prices since the beginning of the Russia-Ukraine war in 2022 are a contributing factor. Many are taking a second look at their spending plans and budgets. Money worries Living costs have taken the hit among the German population, some of whom have already faced previous financial challenges due to the coronavirus pandemic. Not only more expensive grocery runs, but also climbing energy prices had the potential to stretch German household spending to a critical point. However, monthly inflation figures have been decreasing again since the end of 2022 and have come back to a normal level of around two percent.

View monthly updates and historical trends for US Personal Consumption Expenditures. from United States. Source: Bureau of Economic Analysis. Track econom…

As of the third quarter of 2023, the share of household spending on fast-moving consumer goods (FMCG) in Indonesia amounted to **** percent of the total household spending. The household spending share on FMCG is forecast to remain constant in the following years. Daily essentials dominate FMCG budget  Due to everyday demand for necessities including food, drinks, personal hygiene items, and cleaning supplies, FMCG account for a sizeable amount of household spending in Indonesia. This reflects the growing population’s reliance on these essentials even during economic challenges. As demand for these products remains positive, FMCG spending will remain resilient and continue to make up a substantial share of household expenditures. Emerging trends and shift in consumer behavior FMCG spending in Indonesia is also adjusting to new consumer habits as a result of a growing middle class and increased e-commerce usage. Despite the ongoing popularity of offline sales channels such as traditional trade and mini markets, consumers are increasingly opting for convenience-driven options like online shopping. Additionally, the demand for FMCG in Indonesia is being shaped by shifting lifestyle preferences. A recent survey showed that Indonesian consumers valued sustainable and eco-friendly products more. This suggests that household purchases are becoming more varied and quality focused.

Graph and download economic data for Personal Consumption Expenditures: Services (PCESV) from Q1 1947 to Q2 2025 about PCE, consumption expenditures, consumption, personal, services, GDP, and USA.

Consumer spending across India amounted to 27.2 trillion rupees by the end of the first quarter of 2025. It reached an all-time high during the fourth quarter of 2024, with a value of 28.4 trillion rupees. What is consumer spending? Consumer spending refers to the total money spent on final goods and services by individuals and households in an economy. It is an important metric that directly impacts the GDP of a country. Items that qualify as consumer spending include durable and nondurable goods and services. Various factors such as debt held by consumers, wages, supply and demand, taxes, and government-based economic stimulus can impact consumer spending in a country. Positive consumer outlook in India India’s consumer spending reflects a positive outlook with renewed consumer confidence post-COVID. Its consumer market is set to become one of the largest in the world as the number of middle- to high-income households rises with increasing amounts of disposable incomes. The country’s young demographic is also considered a driving force for increased consumer spending.

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.

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]

In 2023, the average annual expenditures of consumer units in the United States totaled to 77,280 U.S. dollars. This is an increase from the previous year, when the average annual expenditures of consumer units totaled to 72,967 U.S. dollars.

Consumer Spending in Switzerland increased to 99635.60 CHF Million in the second quarter of 2025 from 99356.50 CHF Million in the first quarter of 2025. This dataset provides - Switzerland Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Consumer Spending in Russia decreased to 18383.60 RUB Billion in the first quarter of 2025 from 19805.90 RUB Billion in the fourth quarter of 2024. This dataset provides - Russia Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Consumer Spending in Japan increased to 300860.90 JPY Billion in the second quarter of 2025 from 299667.40 JPY Billion in the first quarter of 2025. This dataset provides - Japan Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.