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 tables are an easy-to-use tool for obtaining arts-related spending estimates. They feature 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 2023 and include: 1) Detailed tables with the most granular level of expenditure data available, along with variances and percent reporting for each expenditure item, for all consumer units (listed as "Other" in the Download menu); and 2) Tables with calendar year aggregate shares by demographic characteristics that provide annual aggregate expenditures and shares across demographic groups (listed as "Excel" in the Download menu). 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 2023 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 National Sample Surveys (NSS) are being conducted by the Government of India since 1950 to collect socio-economic data employing scientific sampling methods. Household Consumption Expenditure Survey 2023-24 will commence from August 2023.

The Household Consumption Expenditure Survey (HCES) is designed to collect information on consumption of goods and services by the households. Information collected in HCES is used for analyzing and understanding the consumption and expenditure pattern, standard of living and well-being of the households. Besides, the data of the survey provides budget shares of different commodity groups that is used for preparation of the weighting diagram for compilation of official Consumer Price Indices (CPIs). The data collected in HCES is also utilized for deriving various other macroeconomic indicators.

Geographic coverage

8,684 FSUs in the rural areas and 6,143 in the urban areas have been surveyed in HCES:2023-24. The total sample size of 14,827FSUs has been allocated to State/UTs in proportion to Census 2011 population, subject to a minimum allocation of 40 FSUs.

Sampling procedure

The latest survey on household consumption expenditure (previously known as household consumer expenditure survey) was conducted during the period August 2023 to July 2024 in which information was collected from each sampled household in three questionnaires, namely, Questionnaire: FDQ (Food Items), Questionnaire: CSQ (Consumables & Services) and Questionnaire: DGQ (Durable Items) in three separate monthly visits in a quarter. Apart from these, another questionnaire, namely, Questionnaire: HCQ was canvassed to collect information on household characteristics.

In HCES: 2023-24, a multi-stage stratified sampling design was used where villages/urban blocks or sub-units of these were regarded as the First Stage Units (FSU) and the households were the Ultimate Stage Units (USU). Both the FSUs and USUs were selected with Simple Random Sampling Without Replacement (SRSWOR). 18 sample households were canvassed within an FSU.

The survey period of HCES:2023-24was divided into 10 panels, each consisting of three months. In the first month of any panel,Questionnaire: HCQ along with any one of the questionnaires, i.e., FDQ/CSQ/DGQwere canvassed in the selected households. During the second month of the panel, any one from the remaining two questionnaires was canvassed and in the last month, the last questionnaire was canvassed. The sequence of the questionnaires to be canvassed in each month of a panel for a particular FSU was decided randomly to eliminate bias that may arise due to the adoption of a particular sequencing for canvassing. Thus, all six possible sequences, i.e., [(Q1, Q2, Q3), (Q1, Q3, Q2), (Q2, Q1, Q3), (Q2, Q3, Q1), (Q3, Q1, Q2) and (Q3, Q2, Q1)], where Q1 refers to FDQ, Q2 refers to CSQ and Q3 refers to DGQ, were canvassed at random in the sample households.

The sampling frame for urban sector is the list of Urban Frame Survey (UFS) blocks as per latest Urban Frame Survey and for rural sector, it is the list of villages as per Census 2011 updated by removing those villages which are urbanized and included in latest UFS (till the time of sample selection).Sometimes, with a view to ensure uniformity in the size of FSUs and operational convenience, large villages/UFS blocks are notionally divided into smaller units of more or less equal size, known as sub-units depending on a pre-defined criteria based on population in the village or number of households in the UFS block. The sector-specific criteria for sub-unit formation are as below:

Rural Sector (i) The number of SUs to be formed in the villages (with Census 2011 population of 1000 or more and except some States/UTs) are decided based on projected present population of the village. The criteria aregiven below:

Projected Population of the village No. of SUs to be formed
less than 1200 1
1200 to 2399 2 2400 to 3599 3
… …

(ii) For rural areas of Himachal Pradesh, Sikkim, Andaman & Nicobar Islands, Ladakh, Parts of Uttarakhand (except four districts Dehradun, Nainital, Haridwar and Udham Singh Nagar), Jammu and Kashmir (seven districts Poonch, Rajouri, Udhampur, Reasi, Doda, Kishtwar, Ramban) and Idukki district of Kerala; SU is formed in a village if population as per Census 2011 is more than or equals to 500. The criteria for the number of SU to be formed are as below:

Projected Population of the village Number of SUs to be formed
less than 600 1
600 to 1199 2
1200 to 1799 3
... ...

Urban Sector: (i) SUs are formed in those UFS blockshaving more than or equal to 250 households. The number of SUs to be formed within the UFS blocks is decided by the following criteria:

Number of Households in UFS Block Number of SUs to be formed
less than 250 1
250 to 499 2
500 to 749 3
… …
Thus, the list of Villages / UFS Blocks / Sub-Units (for those villages or UFS blocks where sub-units are formed within) together formed the sampling frame for First Stage Unit selection.

Mode of data collection

Face-to-face [f2f]

Graph and download economic data for Expenditures: Apparel and Services: All Consumer Units (CXUAPPARELLB0101M) from 1984 to 2023 about consumer unit, apparel, expenditures, services, and USA.

This dataset presents a comprehensive overview of household and per-capita income and expenditure patterns in various demographic, geographic, and socioeconomic contexts. It encompasses three main categories:Disposable IncomeConsumption ExpenditureFinal Monetary Consumption ExpenditureWithin each category, indicators detail averages, medians, and percentages across dimensions such as administrative region, nationality of the household head, age group, educational level, marital status, type of dwelling, type of ownership, household size, and income sources. The dataset thus enables in-depth analysis of how different factors influence income and expenditure.esearchers, policymakers, and analysts can employ these indicators to:Understand how household and per-capita incomes vary by social and economic factors.Examine consumption patterns and their drivers, including demographic variables.Analyze the final monetary consumption expenditure in more detail using COICOP divisions for targeted economic and social policy insights.In doing so, users can identify disparities, assess living standards, and formulate data-driven strategies to address economic and social challenges at both the household and regional levels.Notes:For the first time the methodology for calculating household disposable income and consumption expenditure is used in Household Income and Consumption Expenditure Survey of 2023

Graph and download economic data for Expenditures: Entertainment: Fees and Admissions: All Consumer Units (CXUFEESADMLB0101M) from 1984 to 2023 about admissions, fees, entertainment, consumer unit, expenditures, and USA.

Abstract

A Household Income and Expenditure Survey (HIES) collects a wealth of information on household expenditure, income, own-account production and consumption. HIES also collects information on sectoral and thematic areas such as gender, education, health, labour, primary activities, transport, information and communication and cash transfers and remittances. The HIES data will be used to: · derive expenditure weights for the revision of the Consumer Price Index (CPI); · supplement the data available for use in compiling official estimates of various components in the System of National Accounts; and · gather information on welfare and food security in Palau. The data will inform indicators under the United Nations Sustainable Development Goals (SDGs) and guide social and economic policy.

Geographic coverage

National coverage.

Analysis unit

Households and individuals.

Universe

Household Income and Expenditure Survey (HIES) covered all persons who were considered to be usual residents of private dwellings as well as those living in barracks.

Kind of data

Sample survey data [ssd]

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The 2023/24 Palau Household Income and Expenditure Survey (HIES) questionnaire was developed in English language and it follows the Pacific Standard HIES questionnaire structure. It is administered on CAPI using Survey Solutions, and the diary is no longer part of the form. All transactions (food, non food, home production and gifts) are collected through different recall sections during the same visit. The traditional 14 days diary is no longer recommended in the region. This new method of implementing the HIES present some interesting and valuable advantages such as: cost saving, data quality, time reduction for data processing and reporting.

Below is a list of all modules in this questionnaire: -Household ID -Demographic characteristics -Education -Health -Functional difficulties -Communication -Alcohol -Other individual expenses -Labour force -Dwelling characteristics -Assets -Home maintenance -Vehicles -International trips -Domestic trips -Household services -Financial support -Other household expenditure -Ceremonies -Remittances -Food insecurity -Livestock -Agriculture -Fisheries -Hunting -Handicraft and home-processed food -Horticulture -Legal services

The survey questionnaire can be found in this documentation.

Cleaning operations

Data was edited and cleaned using the software Stata. Data cleaning was made manually and in close collaboration with the Statistics Office of Palau.

Response rate

Private households urban: 77,5% Private households rural: 81,2% Workers barracks urban: 76,1% Worker barracks rural: 80,8% Grand Total: 78,2%

blockgroupspending Opportunity US Consumers express their behavior in a number of ways, but critically in their spending decisions. The US Bureau of Labor Statistics is charged with publishing spending activity and provides its Consumer Expenditure Survey (CEX) annually with US totals, with selected states (40) and cities (23). Limited to aggregates, the survey only needs 10s of thousands of observations in the original collection. While this is sufficient for macroeconomic use, the volume gives a weak basis for estimating lower levels of geography. In addition, the CEX includes demographic measurements that are similar, but not directly related, to Census variables. So, the CEX does not integtate well with the American Commuity Survey or other Census publications. This blockgroupspending publication by Open Environments attempts to address this problem by using the BLS' Public Microdata (PUMD) sample to allocate CEX spending categories across 220,000 US Census block group geographies. For each block group, the effort applies two models to estimate: total consumer spending (regression) distribution of spending across spending categories (penetration) including Food, Transportation, Housing and Health costs. Ultimately, these project spending on block groups that can be joined to US Census publications for additional demographics. Understanding the results requires awareness of the BLS' CEX data structures. This is available in the markdown file named oe_bls_cex_EDA.md The publication is made together with the source python code and notebooks used for repeatability. The materials are maintained under version control at https://github.com/OpenEnvironments/blockgroupspending. All feedback and development requests are welcome. Model details -- The CEX publication includes many files reflecting detailed 'diary' surveys capturing spend on thousands of items every two weeks family 'interviews' collecting household spending over the previous 3 months The models are trained upon the latter, 'FMLI' files. The regression model uses extreme gradient boosting, or XGBoost methods that apply many decision trees to iteratively correct prediction error. The subcategory models also use tree based methods, trained upon a the family interview details. The spending variables are named, following the BLS' CEX convention: |Variable|Definition|2023|pct| |---|---|---|---| |TOTEXP|Average annual expenditures|77280|| |FOOD|Food|9985|0.129| |ALCBEV|Alcoholic beverages|637|0.008| |HOUS|Housing|25436|0.329| |APPAR|Apparel and services|2041|0.026| |TRANS|Transportation|13174|0.17| |HEALTH|Healthcare|6159|0.08| |ENTERT|Entertainment|3635|0.047| |PERSCA|Personal care products and services|950|0.012| |READ|Reading|117|0.002| |EDUCA|Education|1656|0.021| |TOBACC|Tobacco products and smoking supplies|370|0.005| |MISC|Miscellaneous|1184|0.015| |CASHCO|Cash contributions|2378|0.031| |RETPEN|Personal insurance and pensions|9556|0.124| During the exploratory phase of this effort, ensemble modelling was evaluated finding that different groupings of income did not appreciably change model estimates while racial and ethnic categories did. As a result, the models are case for major races (White, African American, Asian, Other) and Hispanic. The ACS is collected by API at the block group level. Block group geographies are the lowest level of Census ACS detail and consolidate into Census tracts which in turn consolidate into counties. The FMLI responses are recorded in nominal dollars throughout the year, while total expenditure and ACS data represent year end states. As a result, the models' prediction for total expenditure is cast up using monthly inflation, weighted by monthly expenditure. Additional Caveats It is import to note, analytically, that the results are a stretch for credibility. CEX Consumer Units (people sharing financial decisions) are not exactly Census households (people in a housing unit) CEX demographics are not exactly Census demographics, with the CEX imputing incomes differenly than the Census medians. The CEX applies population weightings to the microdata while the Census primarily aggregates from respondents. The CEX observations are from 1 household (race is a 0/1 indicator) while Census demographics are many households (races are proportions) Models are trained upon repeated measures from a Consumer unit but not revised for ANOVA. Several of the CEX subcategories are very small, as spending has changed over the years. Reading, Alcohol and Tobacco use are still top level subcategories, for example as those have declined significantly since the CEX was first designed. So, this model is limited to the major subcategories of food, housing, transportation, health and retirement spending.* The model apply machine learning to large datasets so significance is not a consideration. However, in practice, those very small subcategories should be avoided. Difference in spending across racial categories also have different...

Graph and download economic data for Expenditures: Utilities, Fuels, and Public Services: All Consumer Units (CXUUTILSLB0101M) from 1984 to 2023 about consumer unit, public, utilities, fuels, expenditures, services, and USA.

United States CES: Average Annual Expenditure data was reported at 77,280.000 USD in 2023. This records an increase from the previous number of 72,967.000 USD for 2022. United States CES: Average Annual Expenditure data is updated yearly, averaging 42,106.000 USD from Dec 1984 (Median) to 2023, with 40 observations. The data reached an all-time high of 77,280.000 USD in 2023 and a record low of 21,975.000 USD in 1984. United States CES: Average Annual Expenditure data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H: Consumer Expenditure Survey.

CES: $15 to 29.999 Th: AAE: HG: HO: Other Household Expenses data was reported at 834.000 USD in 2023. This records an increase from the previous number of 829.000 USD for 2022. CES: $15 to 29.999 Th: AAE: HG: HO: Other Household Expenses data is updated yearly, averaging 687.000 USD from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 834.000 USD in 2023 and a record low of 525.000 USD in 2015. CES: $15 to 29.999 Th: AAE: HG: HO: Other Household Expenses data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H067: Consumer Expenditure Survey: by Income Level.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Age: Age 65 or over (CXUTOTALEXPLB0407M) from 1988 to 2023 about 65-years +, age, average, expenditures, and USA.

The global total consumer spending in was forecast to continuously increase between 2024 and 2029 by in total 16.2 trillion U.S. dollars (+26.61 percent). After the ninth consecutive increasing year, the consumer spending is estimated to reach 77.1 trillion U.S. dollars and therefore a new peak in 2029. Consumer spending here refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.Find more key insights for the total consumer spending in countries like North America and Europe.

United States CES: Average Annual Expenditure data was reported at 77,280.000 USD in 2023. This records an increase from the previous number of 72,967.000 USD for 2022. United States CES: Average Annual Expenditure data is updated yearly, averaging 42,106.000 USD from Dec 1984 (Median) to 2023, with 40 observations. The data reached an all-time high of 77,280.000 USD in 2023 and a record low of 21,975.000 USD in 1984. United States CES: Average Annual Expenditure data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H065: Consumer Expenditure Survey.

This table contains 1904 series, with data for years 1997 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Household spending, household operation (34 items: Total household operation; Communications; Telephone; Purchase of telephones and equipment; ...); Statistics (4 items: Average expenditure; Percent of households reporting; Estimated number of households reporting; Median expenditure per household reporting).

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 CES: $150 to 199.999 Th: Average Annual Expenditure data was reported at 117,818.000 USD in 2023. This records an increase from the previous number of 116,773.000 USD for 2022. United States CES: $150 to 199.999 Th: Average Annual Expenditure data is updated yearly, averaging 109,516.000 USD from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 117,818.000 USD in 2023 and a record low of 100,486.000 USD in 2020. United States CES: $150 to 199.999 Th: Average Annual Expenditure data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H067: Consumer Expenditure Survey: by Income Level.

CES: $15 to 29.999 Th: AAE: Food: AH: Dairy Products data was reported at 363.000 USD in 2023. This records an increase from the previous number of 331.000 USD for 2022. CES: $15 to 29.999 Th: AAE: Food: AH: Dairy Products data is updated yearly, averaging 307.000 USD from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 363.000 USD in 2023 and a record low of 288.000 USD in 2015. CES: $15 to 29.999 Th: AAE: Food: AH: Dairy Products data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H067: Consumer Expenditure Survey: by Income Level.

Graph and download economic data for Expenditures: Mortgage Interest and Charges by Composition of Consumer Unit: Single Person and Other Consumer Units (CXUOWNMORTGLB0610M) from 1984 to 2023 about consumer unit, mortgage, expenditures, personal, interest, and USA.

CES: $15 to 29.999 Th: AAE: HG: Shelter: OD: Maint, Repair, Ins &Oth data was reported at 1,539.000 USD in 2023. This records an increase from the previous number of 1,434.000 USD for 2022. CES: $15 to 29.999 Th: AAE: HG: Shelter: OD: Maint, Repair, Ins &Oth data is updated yearly, averaging 1,283.000 USD from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 1,539.000 USD in 2023 and a record low of 837.000 USD in 2016. CES: $15 to 29.999 Th: AAE: HG: Shelter: OD: Maint, Repair, Ins &Oth data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H067: Consumer Expenditure Survey: by Income Level.

United States CES: $15 to 29.999 Th: AAE: Entertain: Other Supplies, Eqpt & Svcs data was reported at 94.000 USD in 2023. This records a decrease from the previous number of 106.000 USD for 2022. United States CES: $15 to 29.999 Th: AAE: Entertain: Other Supplies, Eqpt & Svcs data is updated yearly, averaging 128.000 USD from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 312.000 USD in 2021 and a record low of 94.000 USD in 2023. United States CES: $15 to 29.999 Th: AAE: Entertain: Other Supplies, Eqpt & Svcs data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H074: Consumer Expenditure Survey: by Income Level.