The Consumer Expenditure Surveys (CE) program provides data on expenditures, income, and demographic characteristics of consumers in the United States. The CE program provides these data in tables, LABSTAT database, news releases, reports, and public use microdata files. CE data are collected by the Census Bureau for BLS in two surveys, the Interview Survey for major and/or recurring items and the Diary Survey for more minor or frequently purchased items. CE data are primarily used to revise the relative importance of goods and services in the market basket of the Consumer Price Index. The CE is the only Federal household survey to provide information on the complete range of consumers' expenditures and incomes. For more information and data, visit: https://www.bls.gov/cex/
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The Occupational Employment Statistics (OES) program conducts a semiannual survey designed to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. The Bureau of Labor Statistics produces occupational employment and wage estimates for approximately 415 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and selected 5- and 6-digit North American Industry Classification System (NAICS) industrial groups. The OES program surveys approximately 200,000 establishments per panel (every six months), taking three years to fully collect the sample of 1.2 million establishments. To reduce respondent burden, the collection is on a three-year survey cycle that ensures that establishments are surveyed at most once every three years. The estimates for occupations in nonfarm establishments are based on OES data collected for the reference months of May and November. The OES survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). BLS provides the procedures and technical support, draws the sample, and produces the survey materials, while the SWAs collect the data. SWAs from all fifty states, plus the District of Columbia, Puerto Rico, Guam, and the Virgin Islands participate in the survey. Occupational employment and wage rate estimates at the national level are produced by BLS using data from the fifty states and the District of Columbia. Employers who respond to states' requests to participate in the OES survey make these estimates possible. The OES features several arts-related occupations, particularly in the Arts, Design, Entertainment, Sports, and Media Occupations group (Standard Occupational Classification (SOC) code 27-0000). Several featured occupation groups include the following: Art and Design Workers (SOC 27-1000) Art Directors Fine Artists, including Painters, Sculptors, and Illustrators Multimedia Artists and Animators Fashion Designers Graphic Designers Set and Exhibit Designers Entertainers and Performers, Sports and Related Workers (SOC 27-2000) Actors Producers and Directors Athletes Coaches and Scouts Dancers Choreographers Music Directors and Composers Musicians and Singers Media and Communication Workers (SOC 27-3000) Radio and Television Announcers Reports and Correspondents Public Relations Specialists Writers and Authors Data for years 1997 through the latest release and can be found on the OES Data page. Also, see OES News Releases sections for current estimates and news releases. Users can analyze the data for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. As well, OES Charts are available. Users may also explore data using OES Maps. If preferred, data can also be accessed via the Multi-Screen Data Search or Text Files using the OES Databases page.
The "https://www.bls.gov/tus/" Target="_blank">American Time Use Survey (ATUS) is the nation's first federally administered, continuous survey on time use in the United States. The goal of the survey is to measure how people divide their time among life's activities. In the ATUS, individuals are randomly selected from a subset of households that have completed their eighth and final month of interviews for the "https://www.census.gov/programs-surveys/cps.html" Target="_blank">Current Population Survey (CPS). ATUS respondents are interviewed only one time about how they spent their time on the previous day, where they were and whom they were with. The survey is sponsored by the "https://www.bls.gov/tus/home.htm" Target="_blank">Bureau of Labor Statistics and is conducted by the "https://www.census.gov/" Target="_blank">U.S. Census Bureau. The data file available for download from the ARDA combines three files from the 2010 ATUS: the Respondent file, the Activity summary file and the Well-Being Module. Variables from the 2010 Well-Being Module have names that begin with the letter 'W.'
Note: The Bureau of Labor Statistics has reported that there was an error in the activity selection process for the 2010 Well-Being Module. Due to a programming error in the data collection software, certain activities were less likely than others to be selected for follow-up questions in the WB Module. As of October 2013, the Bureau of Labor Statistics and the Census Bureau were exploring ways to mitigate the error; more information on this error could be found at the following link: "https://www.bls.gov/tus/wbnotice.htm" Target="_blank">https://www.bls.gov/tus/wbnotice.htm.
The Consumer Expenditure Survey (CE) consists of two parts: the Quarterly Interview Survey and the Diary Survey. Both surveys provide information on the purchasing habits of American consumers, including data on their expenditures, income, and consumer unit characteristics (e.g., age, education, occupation). The Quarterly Interview Survey (CEQ) includes information on monthly out-of-pocket expenses like housing, apparel, transportation, healthcare, insurance, and entertainment. The Diary Survey (CED) includes information on frequently purchased items like food, beverages, tobacco, personal care products, and nonprescription drugs. Approximately 20,000 independent interview surveys and 11,000 independent diary surveys are completed annually. The United States Bureau of Labor Statistics (BLS) publishes 12-month estimates of consumer expenditures annually, summarized by various income levels and demographic characteristics. Geographic data is available at the national level; for regions, divisions, selected states, and selected metropolitan statistical areas; and by population size of area.
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This data collection constitutes a reorganization of data from the Interview Survey component of the Consumer Expenditure Surveys produced by the Bureau of Labor Statistics (BLS) for the years 1980-1989. The Interview Surveys collect data on the expenditures, household characteristics, and income of a sample of consumer units. Interviews are conducted quarterly for a period of 15 months. While the original files are ordered by calendar quarter and calendar month, the reorganized files in this collection use the consumer unit (equivalent to a family or household) as the unit of analysis. The reorganization facilitates analysis of expenditure patterns of individual consumer units. Two kinds of files are presented in this collection: detailed and summary. The detailed files, Consumer Unit (CU), BLS Aggregated Data (BLS), Member Data (MEM), and Expenditure Tabulations (MT) files, retain almost all of the information from the original Interview Survey files (FMLY, MEMB, and MTAB). The detailed files are named according to the calendar year in which the consumer unit's fifth interview took place. Expenditures are expressed as monthly or quarterly totals in 472 categories. The summary files, Sum of Quarterly Expenditures by Consumer Price Index Aggregation (SUMQ), Summary (SUMMARY), and Aggregated Quarterly Expenditures, 1984-1989 (BLSSUM), aggregate expenditures by type and by quarter or year. The SUMQ files (one for each year) contain information on expenditures aggregated over interview quarters in approximately 70 aggregate categories. The SUMMARY file contains annual expenditures in the same 70 categories, along with selected demographic variables, for those consumer units that participated in the survey for a full year. For convenience, two files containing United States city average Consumer Price Indices corresponding to the aggregate goods categories by month and by year are provided. The BLSSUM file contains quarterly summed expenditures for all consumer units from 1984 on, using the aggregation scheme followed by the BLS files.
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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.
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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.
This data collection constitutes a reorganization of data from the Interview Survey component of the Consumer Expenditure Surveys produced by the Bureau of Labor Statistics (BLS) for the years 1980-1989. The Interview Surveys collect data on the expenditures, household characteristics, and income of a sample of consumer units. Interviews are conducted quarterly for a period of 15 months. While the original files are ordered by calendar quarter and calendar month, the reorganized files in this collection use the consumer unit (equivalent to a family or household) as the unit of analysis. The reorganization facilitates analysis of expenditure patterns of individual consumer units. Two kinds of files are presented in this collection: detailed and summary. The detailed files, Consumer Unit (CU), BLS Aggregated Data (BLS), Member Data (MEM), and Expenditure Tabulations (MT) files, retain almost all of the information from the original Interview Survey files (FMLY, MEMB, and MTAB). The detailed files are named according to the calendar year in which the consumer unit's fifth interview took place. Expenditures are expressed as monthly or quarterly totals in 472 categories. The summary files, Sum of Quarterly Expenditures by Consumer Price Index Aggregation (SUMQ), Summary (SUMMARY), and Aggregated Quarterly Expenditures, 1984-1989 (BLSSUM), aggregate expenditures by type and by quarter or year. The SUMQ files (one for each year) contain information on expenditures aggregated over interview quarters in approximately 70 aggregate categories. The SUMMARY file contains annual expenditures in the same 70 categories, along with selected demographic variables, for those consumer units that participated in the survey for a full year. For convenience, two files containing United States city average Consumer Price Indices corresponding to the aggregate goods categories by month and by year are provided. The BLSSUM file contains quarterly summed expenditures for all consumer units from 1984 on, using the aggregation scheme followed by the BLS files. (Source: downloaded from ICPSR 7/13/10)
Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR09851.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.
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Graph and download economic data for Expenditures: Total Average Annual Expenditures by Composition of Consumer Unit: One Parent, at Least One Child Under 18 (CXUTOTALEXPLB0609M) from 1984 to 2023 about parent, consumer unit, average, expenditures, child, and USA.
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Attention This is no longer the most recent release of BLS data! An updated and extended and extended dataset for BLS Waves 1 through 9 is available in this same repository.*** Includes a single integrated dataset with data from the eight waves of the Brazilian Legislative Surveys. Data are provided in the Dataverse subsettable format and also as a .RData file. Estimates of positions of parties and replication materials for different published pieces using BLS8 data are available in separate Dataverse studies, linked in the "Related Materials" section of the metadata. Replication materials for studies using the previous release of the data are linked to the BLS7 release, which is also available in this same Dataverse.
A dataset that permits examination of health, economic, work, and retirement trajectories for a representative national sample of men from middle to old age. The original sample of 5,020 men, first interviewed in 1966, was re-interviewed periodically until 1983 under a contract with the US Department of Labor. The study provided a detailed longitudinal record of their labor market activity, health, financial status, family structure, and attitudes toward and experience in retirement. The NIA grant made possible a re-interview in 1990 with the surviving men and the widows (or other next-of-kin) of the decedents. The merging of the 1990 data includes death certificate information for the decedents, Blacks were over-represented in the original sample in a ratio of about three or four to one, resulting in about 500 surviving black men in the sample. Information on labor market activity, income, and assets also is available for a sample of about 1,350 widows, 90 percent of whom are between 60 and 89 years of age. This information can be linked to earlier data on the women''s health and work activity that was reported by their late husbands. Due to the original sample selection, other NLS cohorts contain wives and daughters of the older men. These other surveys also hold a wealth of detailed information on aging and retirement issues, especially on income transfers. * Dates of Study: 1966-1990 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** 1966: 5,020 men (baseline) ** 1990: 2,092 surviving men, 1,341 widows, 865 other next-of-kin Links: * BLS Website on NLS: http://www.bls.gov/nls/ * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04675
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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.
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Graph and download economic data for Expenditures: Other Food at Home by Size of Consumer Unit: Five or More People in Consumer Unit (CXUOTHRFOODLB0507M) from 1988 to 2023 about consumer unit, expenditures, food, persons, and USA.
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Graph and download economic data for Expenditures: Pensions and Social Security by Number of Earners: Consumer Units of Two or More People, Two Earners (CXUPENSIONSLB0706M) from 1984 to 2023 about social, pension, social assistance, expenditures, consumer, persons, and USA.
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Graph and download economic data for Expenditures: Pets: All Consumer Units (CXUPETSLB0101M) from 2010 to 2023 about pets, consumer unit, expenditures, and USA.
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Graph and download economic data for Consumer Unit Characteristics: Number of People in CU by Size of Consumer Unit: Two or More People in Consumer Unit (CXU980010LB0503M) from 1988 to 2023 about consumer unit, consumer, persons, and USA.
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Graph and download economic data for Expenditures: Food by Hispanic or Latino Origin: Hispanic or Latino (CXUFOODTOTLLB1002M) from 1994 to 2023 about expenditures, food, latino, hispanic, and USA.
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Graph and download economic data for Expenditures: Household Furnishings and Equipment by Composition of Consumer Unit: Single Person and Other Consumer Units (CXUHHFURNSHLB0610M) from 1984 to 2023 about consumer unit, furniture, equipment, expenditures, personal, households, and USA.
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Graph and download economic data for Expenditures: Pork by Size of Consumer Unit: Three People in Consumer Unit (CXUPORKLB0505M) from 1984 to 2023 about consumer unit, meat, expenditures, persons, and USA.
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Graph and download economic data for Expenditures: Property Taxes: All Consumer Units (CXU220211LB0101M) from 1984 to 2023 about consumer unit, tax, expenditures, and USA.
The Consumer Expenditure Surveys (CE) program provides data on expenditures, income, and demographic characteristics of consumers in the United States. The CE program provides these data in tables, LABSTAT database, news releases, reports, and public use microdata files. CE data are collected by the Census Bureau for BLS in two surveys, the Interview Survey for major and/or recurring items and the Diary Survey for more minor or frequently purchased items. CE data are primarily used to revise the relative importance of goods and services in the market basket of the Consumer Price Index. The CE is the only Federal household survey to provide information on the complete range of consumers' expenditures and incomes. For more information and data, visit: https://www.bls.gov/cex/