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The ongoing Consumer Expenditure Survey (CE) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index. The survey consists of two separate components:

1. A quarterly Interview Survey in which each consumer unit in the sample is interviewed every three months over a 15-month period, and
2. A Diary Survey completed by the sample consumer units for two consecutive one-week periods.

The Interview Survey was designed to collect data on major items of expense, household characteristics, and income. The expenditures covered by the survey are those that respondents can recall fairly accurately for three months or longer. In general, these expenditures include relatively large purchases, such as those for property, or expenditures that occur on a fairly regular basis, such as rent, utilities, or insurance premiums. Excluded are nonprescription drugs, household supplies, and personal care items. Including global estimates on spending for food, it is estimated that about 90 to 95 percent of expenditures are covered in the Interview Survey.

The Detailed Expenditure Files that comprise this data collection were created from all the major expenditure sections of the Interview Survey questionnaires. These files contain more detailed expenditure records than those found in the Interview Survey data tapes. In addition, the Detailed Expenditure Files include family characteristics (FMLY) files and income and member characteristics (MEMB) files identical to those found in the Interview Survey.

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 2024 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 2024 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.

The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter.

The surveys conducted in 2004 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning.

Other topics in this series typically include ownership, lease, and use of automobiles, respondents' use of personal computers at home and in the office, and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, marital status, and education.

The Consumer Expenditure Surveys (CE) program provides data on expenditures, income, and demographic characteristics of consumers in the United States. Expenditure categories include various arts-related spending categories on admissions for activities such as plays, theater, opera, concerts, as well as movies, parks, and museums. Additionally, spending on reading materials like newspapers, magazines, books, and digital book readers is covered. The survey also captures expenditure data on other arts-related items such as musical instruments, photographic equipment, audio-visual equipment, and items related to toys, games, arts, and crafts.

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. 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. Here is an overview of the CE program and its methods.

The CE program provides these data in tables, LABSTAT database, news releases, reports, and public use microdata files, including household arts spending, by demographic characteristics.

The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations.

This survey was undertaken to assess consumer sentiment and buying plans. Open-ended questions were asked concerning evaluations and expectations about personal finances, employment, recession, price changes, and the national business situation. Additional variables probe respondents' buying intentions for a house, automobiles, appliances, and other consumer durables, and the respondents' appraisals of present market conditions for purchasing houses and other durables. Other variables probe respondents' opinions of the United States government's help to the South Vietnamese government, the seriousness of Arab nations' intentions regarding peace with Israel, women's right to abortion, voting for a woman or a Jew as a presidential candidate, gun permit law, causes of crime and lawlessness, chances of Russian adherence to a nuclear weapons limitation agreement with the United States, and communism in the United States and free speech. Additional topics covered include the proposed government tax returns, a solution to the energy crisis, the relative merits of buying a new or used car and the relative value of small foreign cars and the small American cars, job pay satisfaction, penalties for smoking marijuana, freedom to make uncomplimentary public speeches, monetary drive of lawyers and doctors and the state of the public good, satisfaction with life in the United States, government's expected role in racial integration and relations between white and Black people, vacation plans, and respondents' assessment of their financial status relative to the previous year. Information is also provided on respondents' car ownership and the make and use of it, political party self-identification and party candidate vote preference, self-identified ideological position, the neighborhood and house structure respondents live in, and spending plans for their income tax refunds. Demographic variables provide information on respondents' age, sex, race, marital status, occupation, employment status, religion, and family income.

The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations.

This survey was undertaken to assess consumer sentiment and buying plans, as well as to provide information on consumer ideas of social change, the care of physically challenged parents, grandparents, and spouse, and labor unions. Open-ended questions were asked concerning evaluations and expectations about personal finances, employment, recession, price changes, and the national business situation. Additional variables probe respondents' buying intentions for a house, automobiles, appliances, and other consumer durables, and the respondents' appraisals of present market conditions for purchasing houses and other durables. Other variables probe respondents' opinions of their health relative to that of other people of their age group, their financial status relative to the previous year and to that of their parents at a comparable age, their job satisfaction, satisfaction with life in the United States and with treatment from public officials, and the role of government in improving the quality of life of the people. Other topics covered included government support for the rights of Black people, racial desegregation, Black empowerment, causes of crime and lawlessness, and the relative merits of small and standard full-size cars and small foreign and American cars. Data are also provided on respondents' perceptions of violence, policemen, social change, and Black protesters, and their assessment of the relative importance of equality, human dignity, respect for property and the law, freedom, and financial security for self and loved ones. Information is also provided on respondents' political party candidate preference and their self-identified ideological position, membership in unions and professional associations, the effect of the Landrum-Griffin Act on the running of unions, respondents' car ownership and the make and use of it, income tax refunds, and the state of health of respondents' parents, grandparents, and spouse. Demographic variables provide information on respondents' age, sex, race, marital status, education, occupation, employment status, religion, and family income.

The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations.

This survey was undertaken to assess consumer sentiment and buying plans. Open-ended questions were asked concerning evaluations and expectations about personal finances, employment, recession, price changes, and the national business situation. Additional variables probe respondents' buying intentions for a house, automobiles, appliances, and other consumer durables, and the respondents' appraisals of present market conditions for purchasing houses and other durables. Other variables probe respondents' degree of satisfaction with the amount of money in their savings accounts, their assessment of their financial status relative to the previous year, and their opinion of the relative merits of small cars and standard full-size cars and small foreign and American cars. Information is also provided on respondents' political party identification and present car ownership and plans for a new one. Demographic variables provide information on respondents' age, sex, race, marital status, education, occupation, employment status, and family income.

The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations.

This survey was undertaken to assess consumer sentiment and buying plans. Open-ended questions were asked concerning evaluations and expectations about personal finances, employment, recession, price changes, and the national business situation. Additional variables probe respondents' buying intentions for a house, automobiles, appliances, and other consumer durables, and the respondents' appraisals of present market conditions for purchasing houses and other durables. Other variables probe respondents' opinions of their health relative to that of other people in their age group, the relative merits of small and standard full-size cars as well as of small foreign cars and small American cars, the long-term cost and durability of certain household appliances, their satisfaction with the amount of money they had in savings, their satisfaction with life in the United States and with their lives in general, the United States government's help to the South Vietnamese government, and the seriousness of Arab nations' intentions regarding peace with Israel. Additional topics covered include a solution to the energy crisis, penalties for smoking marijuana, freedom to make uncomplimentary public speeches, communism in the United States and free speech, causes of crime and lawlessness, the role of government in improving the quality of life of the people, job satisfaction, monetary drive of lawyers and doctors and the state of the public good, and unionization of workers, as well as their financial status relative to the previous year and relative to that of their parents at a comparable age. Information is also provided on respondents' car ownership and the make and use of it, religious group affiliation, hobbies, political influence, political party identification, and self-identified ideological position. Demographic variables provide information on respondents' age, sex, race, marital status, education, occupation, employment status, religion, and family income.

The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations.

This survey was undertaken to assess consumer sentiment and buying plans, as well as to provide information on their savings and investment habits and perceptions of government. Open-ended questions were asked concerning evaluations and expectations about personal finances, employment, recession, price changes, and the national business situation. Additional variables probe respondents' buying intentions for a house, automobiles, appliances, and other consumer durables, and respondents' appraisals of present market conditions for purchasing houses and other durables. Other variables probe respondents' assessments of their financial status relative to the previous year, their views of the government in Washington, the need for governmental changes, military spending, government support for Black people, and their satisfaction with their income and their jobs, as well as their opinion of married women working outside the home, women's liberation, and penalties for marijuana use. Information is also provided on respondents' political party identification, time spent with their children, savings accounts, contributions to charitable organizations, and car ownership and plans to buy a new one. Demographic variables provide information on respondents' age, sex, race, ethnic group, marital status, education, occupation, employment status, and family income.

The Multicity Study of the Impact of Taxes on Sugar-Sweetened Beverages was a multi-year study intended to provide comprehensive information about the impacts of sugar-sweetened beverage taxes on retail prices, purchases, and consumption. The study was conducted in two cities that recently implemented an excise tax on sugar-sweetened beverages: Philadelphia, PA and Oakland, CA.

The study consists of six datasets, with three datasets covering Philadelphia and three covering Oakland. The store observation data contain price information for sodas, juices, and other beverages. The purchase datasets contain information from survey questions fielded at stores, including basic demographic information (race and ethnicity, gender, income), the number of people in the participant's household, and how often they shop for beverages at that store and others. The household datasets contain information from survey questions fielded during the household beverages consumption survey; it includes demographic information and beverage consumption information for a household adult and a household child.

The study also included an analysis of strategic responses to the taxes, including cross-border shopping by consumers, and retailers changing the availability of various beverages.

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 questionnaire and independent sample: (1) the quarterly Interview Survey, and (2) the Diary Survey. This data collection contains the quarterly Interview Survey data, which was designed to collect data on major items of expense which respondents could be expected to recall for 3 months or longer. Items include relatively large expenditures, such as those for property, automobiles, and major durable goods, and those that occurred on a regular basis, such as rent or utilities. The Interview Survey does not collect data on expenses for housekeeping supplies, personal care products, and nonprescription drugs, which contribute about 5 to 15 percent of total expenditures.

The 2013 Interview Survey contains eight groups of Interview data files (FMLI, MEMI, MTBI, ITBI, ITII, NTAXI, FPAR, and MCHI), forty-three Detailed Expenditure (EXPN) files, and processing files. The FMLI, MEMI, MTBI, ITBI, ITII, and NTAXI files are organized by the calendar quarter of the year in which the data were collected. There are five quarterly datasets for each of these files, running from the first quarter of 2013 through the first quarter of 2014 (with NTAXI files starting the second quarter of 2013). The FMLI file contains consumer unit (CU) characteristics, income, and summary level expenditures; the MEMI file contains member characteristics and income data; the MTBI file contains expenditures organized on a monthly basis at the Universal Classification Code (UCC) level; the ITBI file contains income data converted to a monthly time frame and assigned to UCCs; and the ITII file contains the five imputation variants of the income data converted to a monthly time frame and assigned to UCCs. The NTAXI file contains federal and state tax information for each tax unit within the CU.

The FPAR and MCHI datasets are grouped as 2-year datasets (2012 and 2013), plus the first quarter of 2014, and contain paradata about the Interview survey. The FPAR file contains CU level data about the Interview survey, including timing and record use. The MCHI file contains data about each interview contact attempt, including reasons for refusal and times of contact. Both FPAR and MCHI files contain five quarters of data.

The EXPN files contain expenditure data and ancillary descriptive information, often not available on the FMLI or MTBI files, in a format similar to the Interview questionnaire. In addition to the extra information available on the EXPN files, users can identify distinct spending categories easily and reduce processing time due to the organization of the files by type of expenditure. Each of the 43 EXPN files contains five quarters of data, directly derived from their respective questionnaire sections.

The processing files enhance computer processing and tabulation of data, and provide descriptive information on item codes. There are two types of processing files: (1) aggregation scheme files used in the published consumer expenditure survey interview tables and integrated tables (ISTUB and INTSTUB), and (2) a vehicle make file (CAPIVEHI). The processing files are further explained in the Interview Survey Users' Guide, Section III.H.9. "Processing Files." In addition to the primary users' guide, the Users' Guide to Income Imputation provides 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.

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.

Collected by the Bureau of Economic Analysis (BEA), personal consumption expenditures (PCE) is the primary measure of consumer spending on goods and services in the United States economy. It accounts for about two-thirds of domestic final spending, and thus it is the primary engine that drives future economic growth. PCE shows how much of the income earned by households is being spent on current consumption as opposed to how much is being saved for future consumption.

PCE also provides a comprehensive measure of types of goods and services that are purchased by households. Thus, for example, it shows the portion of spending that is accounted for by discretionary items, such as motor vehicles, or the adjustments that consumers make to changes in prices, such as a sharp run-up in gasoline prices. Further, Personal Consumption Expenditures by Function contain classifications that identify the purposes of objectives for which expenditures are made. In the U.S. National Income and Product Accounts (NIPAs), functional breakdowns of expenditures are provided for PCE by Function. NIPAs are a set of accounts that provides a logical and consistent framework for presenting statistics on U.S. economic activity. See Chapter 2 of the NIPA Handbook for further details regarding PCE by Function and NIPAs.

In addition, the PCE by Function features several spending categories of arts-related goods and services, including the following items:

Membership clubs, sports centers, parks, theaters, and museums

• Amusements parks, campgrounds, and related recreational services
• Admissions to specified spectator amusements, such as motion picture theaters, live entertainment, and spectator sports
• Museums and libraries

Sports and recreational goods and related services

• Sports and recreational vehicles

Magazines, newspapers, books, and stationery

Photographic goods and services

The PCE estimates are available monthly, so they can provide an early indication of the course of economic activity in the current quarter. For example, the PCE estimates for January are released at the end of February, and the estimates for February are released at the end of March; the advance estimates of gross domestic product (GDP) for the first quarter are released at the end of April. The PCE estimates are an integral part of the NIPAs.

Data for PCE by Function are available for years 1929-2014. To view expenditures by function on the BEA Web site, users are encouraged to go to Summary NIPA Tables from the Consumer Spending page. The Summary Tables are located under the Estimates tab. On the Summary NIPA Tables page, users can view the PCE by Function Tables 2.5.3., 2.5.4., 2.5.5., and 2.5.6. under "Section 2 - Personal Income and Outlays." Users can interact with the data and choose the years they wish to view (e.g. 1999-2013). Spreadsheets can be downloaded from the Download NIPA Tables page.

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys covers the following special topics: (1) energy in the EU, (2) citizens' rights, (3) e-communications, (4) the internal market, and (5) carbon dioxide capture and storage. Information was collected on potential policies and ways to reduce energy consumption, the performance of EU administration, opinions about citizens' most important rights, and report access, use, and providers of various technology and media, including the Internet. Additional information includes respondents' views on employment across EU countries, counterfeiting and piracy, the handling of carbon dioxide, and effects on climate change.

Demographic and other background information collected includes age, gender, nationality, marital status and parental relations, left-right political self-placement, occupation, age when stopped full-time education, household composition, ownership of a fixed or a mobile telephone and other durable goods, difficulties in paying bills, level in society, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries).

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 Consumer Expenditure Survey (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 4416). This data collection contains the Diary Survey data, which was designed to obtain data on frequently purchased smaller items, including food and beverages (both at home and in food establishments), gasoline, housekeeping supplies, tobacco, nonprescription drugs, and personal care products and services. 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 microdata in this collection are available as SAS, SPSS, and STATA datasets or ASCII comma-delimited files. The 2004 Diary release contains five sets of data files (FMLY, MEMB, EXPN, DTAB, DTAB_IMPUTE) and three processing files. The FMLY, MEMB, EXPN, DTAB, and DTAB_IMPUTE 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 FMLY files contain CU characteristics, income, and summary level expenditures; the MEMB files contain member characteristics and income data; the EXPN files contain detailed weekly expenditures at the Universal Classification Code (UCC) level; the DTAB files contain the CU's reported income values or the mean of the five imputed income values in the multiple imputation method; and the DTAB_IMPUTE files contain the five imputed income values. Please note that the summary level expenditure and income information on the FMLY files permits the data user to link consumer spending, by general expenditure category, and household characteristics and demographics on one set of files.

The three processing files enhance computer processing and tabulation of data, and provide descriptive information on item codes. The three processing files are: (1) an aggregation scheme file used in the published consumer expenditure tables (DSTUB), (2) a UCC file that contains UCCs and their abbreviated titles, identifying the expenditure, income, or demographic item represented by each UCC, and (3) a sample program file that contains the computer program used in Section VII "MICRODATA VERIFICATION AND ESTIMATION METHODOLOGY" of the Diary User Guide. The processing files are further explained in Section III.E.5. "PROCESSING FILES" of the same User Guide documentation. There is also a second user guide, User's Guide to Income Imputation in the CE, which 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, 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 was also collected.

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 questionnaire and independent sample), the quarterly Interview Survey and the Diary Survey (ICPSR 4415). This data collection contains the quarterly Interview Survey data, which was designed to collect data on major items of expense which respondents could be expected to recall for 3 months or longer. These included relatively large expenditures, such as those for property, automobiles, and major durable goods, and those that occurred on a regular basis, such as rent or utilities. The Interview Survey does not collect data on expenses for housekeeping supplies, personal care products, and nonprescription drugs, which contribute about 5 to 15 percent of total expenditures.

The microdata in this collection are available as SAS, SPSS, and STATA datasets or ASCII comma-delimited files. The 2004 Interview Survey release contains five groups of Interview data files (FMLY, MEMB, MTAB, ITAB, and ITAB_IMPUTE), 50 EXPN files, and four processing files.

The FMLY, MEMB, MTAB, ITAB, and ITAB_IMPUTE files are organized by the calendar quarter of the year in which the data were collected. There are five quarterly datasets for each of these files, running from the first quarter of 2004 through the first quarter of 2005. The FMLY file contains consumer unit (CU) characteristics, income, and summary level expenditures; the MEMB file contains member characteristics and income data; the MTAB file contains expenditures organized on a monthly basis at the Universal Classification Code (UCC) level; the ITAB file contains income data converted to a monthly time frame and assigned to UCCs; and the ITAB_IMPUTE file contains the five imputation variants of the income data converted to a monthly time frame and assigned to UCCs.

The EXPN files contain expenditure data and ancillary descriptive information, often not available on the FMLY or MTAB files, in a format similar to the Interview questionnaire. In addition to the extra information available on the EXPN files, users can identify distinct spending categories easily and reduce processing time due to the organization of the files by type of expenditure. Each of the 50 EXPN files contains five quarters of data, directly derived from their respective questionnaire sections.

The processing files enhance computer processing and tabulation of data, and provide descriptive information on item codes. The processing files are: (1) aggregation scheme files used in the published consumer expenditure survey interview tables and integrated tables (ISTUB and INTSTUB), (2) a UCC file that contains UCCs and their abbreviated titles, identifying the expenditure, income, or demographic item represented by each UCC, (3) two vehicle make and model files (VEHI and CAPIVEHI), and (4) files containing sample programs (See Section VII.A. SAMPLE PROGRAM). The processing files are further explained in the Interview User Guide, Section III.F.6. "PROCESSING FILES." There is also a second user guide, User's Guide to Income Imputation in the CE, which 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, 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 was also collected.

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys diverged from the Standard Eurobarometer measures and queried respondents on the following major areas of focus: (1) the European Parliament (EP), (2) energy supply, (3) data protection and electronic identity, (4) chemical labeling, and (5) rare diseases. For the first major area of focus, the European Parliament, respondents were asked about their knowledge and opinion of the EP, whether the EP should play a more important or less important role, which policies should be given priority by the EP, and which values should be defended by the EP. For the second major area of focus, energy supply, respondents were queried about what goals should be prioritized in energy policies, what energy policies should be adopted, and whether or not there should be a communal European Union (EU) energy policy. Additionally, respondents were asked whether they believed it was in their country's energy security interest to assist other EU member states facing energy supply problems, as well as whether they believed it was desirable that their country provide assistance to other EU member states in the name of European solidarity. For the third major area of focus, questions address activities one performs on the Internet, opinions about types of information and data considered to be personal, types of information disclosed on social networking and online shopping sites and the risks, and measures taken to protect one's identity. Opinions were also collected on how personal information and data are acquired, treated, stored and protected by public and private organizations. For the fourth major area of focus, chemical labeling, respondents were asked about their use and perception of chemical products in various circumstances, how they determine whether or not a chemical product is hazardous, what the proper handling of chemical products is, where respondents find information about the potential dangers of chemical products, who to trust for information about chemical product safety, and whether or not they could correctly identify chemical product warning labels. For the fifth major area of focus, rare diseases, respondents were interviewed about what they believe rare diseases are, whether or not they knew or heard of someone with a rare disease, what society should do about rare diseases, what specific policy responses to rare diseases should be implemented by national health services and the EU as a whole, as well as whether or not they had heard of certain rare diseases.

Demographic and other background information collected includes age, gender, nationality, marital status and parental relations, left-right political self-placement, occupation, age when stopped full-time education, household composition, ownership of a fixed or a mobile telephone, difficulties in paying bills, level in society, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries).

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys covers the special topic of consumer empowerment and includes the following major areas of focus: (1) Internet use and online shopping, (2) awareness of consumer legislation, (3) consumer skills and confidence, and (4) housing conditions. Questions in this survey pertain to respondent's Internet usage in the last 3 months, goods or services purchased by post, phone, or the Internet within the last 12 months, the rights of consumers to return goods, and knowledge of organizations or authorities representing and protecting consumers. Respondents were queried on their understanding of common consumer issues including intermediate numerical skills, interpreting nutritional information, identification of the "best before" date on products, and familiarity with brand logos. Finally, information was collected on respondent's household situation, dwelling, finances, and expenses.

Demographic and other background information collected includes age, gender, nationality, origin of birth (personal), marital status and parental relations, occupation and form of employment, age at completion of full-time education and level of education, household composition, ownership of a fixed or a mobile telephone and other durable goods, level in society, computer experience, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries).

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 questionnaire and independent sample), the quarterly Interview Survey and the Diary Survey (ICPSR 34442). This data collection contains the quarterly Interview Survey data, which was designed to collect data on major items of expense which respondents could be expected to recall for 3 months or longer. These included relatively large expenditures, such as those for property, automobiles, and major durable goods, and those that occurred on a regular basis, such as rent or utilities. The Interview Survey does not collect data on expenses for housekeeping supplies, personal care products, and nonprescription drugs, which contribute about 5 to 15 percent of total expenditures.

The microdata in this collection are available as SAS, SPSS, and STATA datasets or ASCII comma-delimited files. The 2011 Interview Survey release contains seven groups of Interview data files (FMLY, MEMB, MTBI, ITBI, ITII, FPAR, and MCHI), 50 EXPN files, and processing files.

The FMLY, MEMB, MTBI, ITBI, and ITII files are organized by the calendar quarter of the year in which the data were collected. There are five quarterly datasets for each of these files, running from the first quarter of 2011 through the first quarter of 2012. The FMLY file contains consumer unit (CU) characteristics, income, and summary level expenditures; the MEMB file contains member characteristics and income data; the MTBI file contains expenditures organized on a monthly basis at the Universal Classification Code (UCC) level; the ITBI file contains income data converted to a monthly time frame and assigned to UCCs; and the ITII file contains the five imputation variants of the income data converted to a monthly time frame and assigned to UCCs.

The FPAR and MCHI datasets are grouped as 2-year datasets (2010 and 2011), plus the first quarter of the 2012 and contain paradata about the Interview survey. The FPAR file contains CU level data about the Interview survey, including timing and record use. The MCHI file contains data about each interview contact attempt, including reasons for refusal and times of contact. Both FPAR and MCHI files contain five quarters of data.

The EXPN files contain expenditure data and ancillary descriptive information, often not available on the FMLY or MTBI files, in a format similar to the Interview questionnaire. In addition to the extra information available on the EXPN files, users can identify distinct spending categories easily and reduce processing time due to the organization of the files by type of expenditure. Each of the 50 EXPN files contains five quarters of data, directly derived from their respective questionnaire sections.

The processing files enhance computer processing and tabulation of data, and provide descriptive information on item codes. The processing files are: (1) aggregation scheme files used in the published consumer expenditure survey interview tables and integrated tables (ISTUB and INTSTUB), (2) a UCC file that contains UCCs and their abbreviated titles, identifying the expenditure, income, or demographic item represented by each UCC, (3) a vehicle make file (CAPIVEHI), and (4) files containing sample programs. The processing files are further explained in the Interview User Guide, Section III.G.8. "PROCESSING FILES." There is also a second user guide, User's Guide to Income Imputation in the CE, which 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, 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 was also collected.

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 34441). This data collection contains the Diary Survey data, which was designed to obtain data on frequently purchased smaller items, including food and beverages (both at home and in food establishments), gasoline, housekeeping supplies, tobacco, nonprescription drugs, and personal care products and services. 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 microdata in this collection are available as SAS, SPSS, and STATA datasets or ASCII comma-delimited files. The 2011 Diary release contains five sets of data files (FMLY, MEMB, EXPN, DTBD, DTID) and three processing files. The FMLY, MEMB, EXPN, 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 FMLY files contain CU characteristics, income, and summary level expenditures; the MEMB files contain member characteristics and income data; the EXPN files contain detailed weekly expenditures at the Universal Classification Code (UCC) level; the DTBD files contains 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 FMLY files permits the data user to link consumer spending, by general expenditure category, and household characteristics and demographics on one set of files.

The three processing files enhance computer processing and tabulation of data, and provide descriptive information on item codes. The three processing files are: (1) an aggregation scheme file used in the published consumer expenditure tables (DSTUB), (2) a UCC file that contains UCCs and their abbreviated titles, identifying the expenditure, income, or demographic item represented by each UCC, and (3) a sample program file that contains the computer program used in Section VII. "MICRODATA VERIFICATION AND ESTIMATION METHODOLOGY" of the Diary User Guide. The processing files are further explained in Section III.F.6. "PROCESSING FILES" of the same User Guide documentation. There is also a second user guide, User's Guide to Income Imputation in the CE, which 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, 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 was also collected.

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 32483). This data collection contains the Diary Survey data, which was designed to obtain data on frequently purchased smaller items, including food and beverages, both at home and in food establishments, gasoline, housekeeping supplies, tobacco, nonprescription drugs, and personal care products and services. 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 microdata in this collection are available as SAS, STATA, SPSS data sets or ASCII text and comma-delimited files. The 2010 Diary release contains five sets of data files (FMLY, MEMB, EXPN, DTAB, DTID) and three processing files. The FMLY, MEMB, EXPN, DTAB, 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 FMLY files contain CU characteristics, income, and summary level expenditures; the MEMB files contain member characteristics and income data; the EXPN files contain detailed weekly expenditures at the Universal Classification Code (UCC) level; the DTAB files contains 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. The summary level expenditure and income information on the FMLY files permits the data user to link consumer spending, by general expenditure category, and household characteristics and demographics on one set of files.

The three processing files enhance computer processing and tabulation of data, and provide descriptive information on item codes. The three processing files are: (1) an aggregation scheme file used in the published consumer expenditure tables (DSTUB), (2) a UCC file that contains UCCs and their abbreviated titles, identifying the expenditure, income, or demographic item represented by each UCC, and (3) a sample program file that contains the computer program used in Section VII.A. SAMPLE PROGRAM of the Diary User Guide. The processing files are further explained in Section III.E.5. PROCESSING FILES of the same User Guide documentation. There is also a second user guide, "User's Guide to Income Imputation in the CE", which 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, 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 was also collected.

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 questionnaire and independent sample), the quarterly Interview Survey and the Diary Survey (ICPSR 32482). This data collection contains the quarterly Interview Survey data, which was designed to collect data on major items of expense which respondents could be expected to recall for 3 months or longer. These included relatively large expenditures, such as those for property, automobiles, and major durable goods, and those that occurred on a regular basis, such as rent or utilities. The Interview Survey does not collect data on expenses for housekeeping supplies, personal care products, and nonprescription drugs, which contribute about 5 to 15 percent of total expenditures.

The microdata in this collection are available as SAS, STATA, SPSS data sets or ASCII text and comma-delimited files. The 2010 Interview Survey release contains seven groups of Interview data files (FMLY, MEMB, MTAB, ITAB, ITAB_IMPUTE, FPAR, and MCHI), 50 EXPN files, and processing files.

The FMLY, MEMB, MTAB, ITAB, and ITAB_IMPUTE files are organized by the calendar quarter of the year in which the data were collected. There are five quarterly data sets for each of these files, running from the first quarter of 2010 through the first quarter of 2011. The FMLY file contains consumer unit (CU) characteristics, income, and summary level expenditures; the MEMB file contains member characteristics and income data; the MTAB file contains expenditures organized on a monthly basis at the Universal Classification Code (UCC) level; the ITAB file contains income data converted to a monthly time frame and assigned to UCCs; and the ITAB_IMPUTE file contains the five imputation variants of the income data converted to a monthly time frame and assigned to UCCs.

The FPAR and MCHI datasets are grouped as 2-year datasets (2009 and 2010), plus the first quarter of the 2011. The FPAR file contains CU level data about the Interview survey, including paradata collected about the interview within the interview collection instrument (CAPI). This data includes information on the amount of time required to collect each interview and interview section, as well as other interviewer entered information about the resulting survey. The MCHI file contains data about each interview contact attempt, including reasons for refusal and times of contact. Both FPAR and MCHI files contain five quarters of data.

Each of the 50 EXPN files contains five quarters of data. The EXPN files contain data directly derived from their respective questionnaire sections.

The processing files enhance computer processing and tabulation of data, and provide descriptive information on item codes. The processing files are: (1) aggregation scheme files used in the published consumer expenditure survey interview tables and integrated tables (ISTUB and INTSTUB), (2) a UCC file that contains UCCs and their abbreviated titles, identifying the expenditure, income, or demographic item represented by each UCC, (3) a vehicle make file (CAPIVEHI), and (4) files containing sample programs. The processing files are further explained in the Interview User Guide, Section III.F.6. PROCESSING FILES. There is also a second user guide, "User's Guide to Income Imputation in the CE", which 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, 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 was also collected.

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 consists of two surveys, the quarterly Interview Survey and the Diary Survey (ICPSR 29883). The quarterly Interview survey is designed to collect data on major items of expense which respondents can be expected to recall for 3 months or longer. These include relatively large expenditures, such as those for property, automobiles, and major durable goods, and those that occur on a regular basis, such as rent or utilities. The Interview survey does not collect data on expenses for housekeeping supplies, personal care products, and nonprescription drugs, which contribute about 5 to 15 percent of total expenditures.

The microdata in this collection are available as SAS, STATA, SPSS data sets or ASCII text and comma-delimited files. The 2009 Interview release contains seven groups of Interview data files (FMLY, MEMB, MTAB, ITAB, ITAB_IMPUTE, FPAR, and MCHI), 50 EXPN files, and processing files.

The FMLY, MEMB, MTAB, ITAB, and ITAB_IMPUTE files are organized by the calendar quarter of the year in which the data were collected. There are five quarterly data sets for each of these files, running from the first quarter of 2009 through the first quarter of 2010. The FMLY file contains consumer unit (CU) characteristics, income, and summary level expenditures; the MEMB file contains member characteristics and income data; the MTAB file contains expenditures organized on a monthly basis at the Universal Classification Code (UCC) level; the ITAB file contains income data converted to a monthly time frame and assigned to UCCs; and the ITAB_IMPUTE file contains the five imputation variants of the income data converted to a monthly time frame and assigned to UCCs.

The FPAR and MCHI datasets are grouped as 2-year datasets (2008 and 2009), plus the first quarter of the 2010. The FPAR file contains CU level data about the Interview survey, including paradata collected about the interview within the interview collection instrument (CAPI). This data includes information on the amount of time required to collect each interview and interview section, as well as other interviewer entered information about the resulting survey. The MCHI file contains data about each interview contact attempt, including reasons for refusal and times of contact. Both FPAR and MCHI files contain five quarters of data.

Each of the 50 EXPN files contains five quarters of data. The EXPN files contain data directly derived from their respective questionnaire sections.

The processing files enhance computer processing and tabulation of data, and provide descriptive information on item codes. The processing files are: (1) aggregation scheme files used in the published consumer expenditure survey interview tables and integrated tables (ISTUB and INTSTUB), (2) a UCC file that contains UCCs and their abbreviated titles, identifying the expenditure, income, or demographic item represented by each UCC, (3) a vehicle make file (CAPIVEHI), and (4) files containing sample programs. The processing files are further explained in the Interview User Guide, Section III.F.6. PROCESSING FILES. There is also a second user guide, "User's Guide to Income Imputation in the CE", which 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 each CU member. Income information, 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 was also collected.

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 consists of two surveys, the Diary Survey and the quarterly Interview Survey (ICPSR 29884). The Diary Survey is designed to obtain data on frequently purchased smaller items, including food and beverages, both at home and in food establishments, housekeeping supplies, tobacco, nonprescription drugs, and personal care products and services. Each consumer unit (CU) records 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 are asked to report all expenses (except overnight travel) that the CU incurs during the survey week.

The microdata in this collection are available as SAS, STATA, SPSS data sets or ASCII text and comma-delimited files. The 2009 Diary release contains five sets of data files (FMLY, MEMB, EXPN, DTAB, DTID) and three processing files. The FMLY, MEMB, EXPN, DTAB, and DTID files are organized by the quarter of the calendar year in which the data were collected. There are four quarterly data sets for each of these files.

The FMLY files contain CU characteristics, income, and summary level expenditures; the MEMB files contain member characteristics and income data; the EXPN files contain detailed weekly expenditures at the Universal Classification Code (UCC) level; the DTAB files contains 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. The summary level expenditure and income information on the FMLY files permits the data user to link consumer spending, by general expenditure category, and household characteristics and demographics on one set of files.

The three processing files enhance computer processing and tabulation of data, and provide descriptive information on item codes. The three processing files are: (1) an aggregation scheme file used in the published consumer expenditure tables (DSTUB), (2) a UCC file that contains UCCs and their abbreviated titles, identifying the expenditure, income, or demographic item represented by each UCC, and (3) a sample program file that contains the computer program used in Section VII.A. SAMPLE PROGRAM of the Diary User Guide. The processing files are further explained in Section III.E.5. PROCESSING FILES of the same User Guide documentation. There is also a second user guide, "User's Guide to Income Imputation in the CE", which 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 each CU member. Income information, 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 was also collected.