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.

CES: $50 to 69.999 Th: AAE: Entertain: Other Supplies, Eqpt & Svcs data was reported at 470.000 USD in 2016. This records an increase from the previous number of 302.000 USD for 2015. CES: $50 to 69.999 Th: AAE: Entertain: Other Supplies, Eqpt & Svcs data is updated yearly, averaging 562.000 USD from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 797.000 USD in 1992 and a record low of 302.000 USD in 2015. CES: $50 to 69.999 Th: AAE: Entertain: Other Supplies, Eqpt & Svcs data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.

Abstract

The Consumer Expenditure Survey (CE) program provides a continuous and comprehensive flow of data on the buying habits of American consumers. These data are used widely in economic research and analysis, and in support of revisions of the Consumer Price Index. To meet the needs of users, the Bureau of Labor Statistics (BLS) produces population estimates for consumer units (CUs) of average expenditures in news releases, reports, issues, and articles in the Monthly Labor Review. Tabulated CE data are also available on the Internet and by facsimile transmission (See Section XV. APPENDIX 4). The microdata are available online at http://www/bls.gov/cex/pumdhome.htm. These microdata files present detailed expenditure and income data from the Interview component of the CE for 2003 and the first quarter of 2004. The Interview survey collects data on up to 95 percent of total household expenditures. In addition to the FMLI, MEMI, MTBI, and ITBI files, the microdata include files created directly from the expenditure sections of the Interview survey (EXPN files). 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. Estimates of average expenditures in 2003 from the Interview Survey, integrated with data from the Diary Survey, will be published in the report Consumer Expenditures in 2003. A list of recent publications containing data from the CE appears at the end of this documentation. The microdata files are in the public domain and, with appropriate credit, may be reproduced without permission. A suggested citation is: "U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, Interview Survey, 2003."

Analysis unit

Consumer Units

Kind of data

Sample survey data [ssd]

Sampling procedure

Samples for the CE are national probability samples of households designed to be representative of the total U. S. civilian population. Eligible population includes all civilian non-institutionalized persons. The first step in sampling is the selection of primary sampling units (PSUs), which consist of counties (or parts thereof) or groups of counties. The set of sample PSUs used for the 2003 and 2004 samples is composed of 105 areas. The design classifies the PSUs into four categories: • 31 "A" certainty PSUs are Metropolitan Statistical Areas (MSA's) with a population greater than 1.5 million. • 46 "B" PSUs, are medium-sized MSA's. • 10 "C" PSUs are nonmetropolitan areas that are included in the CPI. • 18 "D" PSUs are nonmetropolitan areas where only the urban population data will be included in the CPI.

The sampling frame (that is, the list from which housing units were chosen) for the 2003 and 2004 surveys is generated from the 1990 Census of Population 100-percent-detail file. The sampling frame is augmented by new construction permits and by techniques used to eliminate recognized deficiencies in census coverage. All Enumeration Districts (EDs) from the Census that fail to meet the criterion for good addresses for new construction, and all EDs in non-permit-issuing areas are grouped into the area segment frame. Interviewers are then assigned to list these areas before a sample is drawn. To the extent possible, an unclustered sample of units is selected within each PSU. This lack of clustering is desirable because the sample size of the Diary Survey is small relative to other surveys, while the intraclass correlations for expenditure characteristics are relatively large. This suggests that any clustering of the sample units could result in an unacceptable increase in the within-PSU variance and, as a result, the total variance. The Interview Survey is a panel rotation survey. Each panel is interviewed for five consecutive quarters and then dropped from the survey. As one panel leaves the survey, a new panel is introduced. Approximately 20 percent of the addresses are new to the survey each month.

WEIGHTING Each CU included in the CE represents a given number of CUs in the U.S. population, which is considered to be the universe. The translation of sample families into the universe of families is known as weighting. However, since the unit of analysis for the CE is a CU, the weighting is performed at the CU level. Several factors are involved in determining the weight for each CU for which an interview is obtained. There are four steps in the weighting procedure: 1) The basic weight is assigned to an address and is the inverse of the probability of selection of the housing unit. 2) A weight control factor is applied to each interview if subsampling is performed in the field. 3) A noninterview adjustment is made for units where data could not be collected from occupied housing units. The adjustment is performed as a function of region, housing tenure, family size and race. 4) A final adjustment is performed to adjust the sample estimates to national population controls derived from the Current Population Survey. The adjustments are made based on both the CU's Member composition and the CU as a whole. The weight for the CU is adjusted for individuals within the CU to meet the controls for 14 age/race categories, 4 regions, and 4 region/urban categories. The CU weight is also adjusted to meet the control for total number of CUs and total number of CUs who own their living quarters. The weighting procedure uses an iterative process to ensure that the sample estimates meet all the population controls. NOTE: The weight for a consumer unit (CU) can be different for each quarter in which the CU participates in the survey, as the CU may represent a different number of CUs with similar characteristics.

Mode of data collection

Computer Assisted Personal Interview [capi]

CES: $50 to 69.999 Th: AAE: HG: HF: Furniture data was reported at 333.000 USD in 2016. This records a decrease from the previous number of 504.000 USD for 2015. CES: $50 to 69.999 Th: AAE: HG: HF: Furniture data is updated yearly, averaging 426.000 USD from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 580.000 USD in 1997 and a record low of 310.000 USD in 2011. CES: $50 to 69.999 Th: AAE: HG: HF: Furniture data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.

This web map displays a ratio of the average annual household expenditure on "food at home" to "food away from home." Some of the patterns are quite interesting.Red area households spend noticeably more at home, blue area households spend noticeably more away from home. Households in an "average" area tend to spend $1.38 on food at home for every $1.00 on food away from home. Red areas are above this average, and blue areas are below this average. Yellow areas are average.Data is shown at the county, tract and block group levels using consistent colors and classifications. Put this map in your web browser or Esri iPhone/iPad app.There's a very nice visual of consumer expenditures data here.These are just two of the hundreds of variables available in the Esri Consumer Spending database. Esri combined the 2005-2006 Consumer Expenditure Surveys from the Bureau of Labor Statistics to estimate current spending patterns. The continuing surveys include a Diary Survey for daily purchases and an Interview Survey for general purchases. The Diary Survey represents record keeping by consumer units for two consecutive weeklong periods. This component collects data on small daily purchases that could be overlooked by the quarterly Interview Survey. The Interview Survey collects expenditure data from consumers in five interviews conducted every three months. Esri integrates data from both surveys to provide a comprehensive database on all consumer expenditures. To compensate for the relatively small survey bases and the variability of single-year data, expenditures are averaged from the 2005–2006 surveys.Esri's 2010 Consumer Spending database details which products and services area consumers buy. Updated annually, the Consumer Spending database contains more than 760 items in 15 categories such as apparel, food, and financial. The database includes information about total dollars spent, the average amount spent by household, and a Spending Potential Index that compares local average product expenditures to the national average.

CES: $50 to 69.999 Th: AAE: HG: HO: Personal Services data was reported at 269.000 USD in 2016. This records a decrease from the previous number of 399.000 USD for 2015. CES: $50 to 69.999 Th: AAE: HG: HO: Personal Services data is updated yearly, averaging 359.000 USD from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 479.000 USD in 2000 and a record low of 212.000 USD in 2012. CES: $50 to 69.999 Th: AAE: HG: HO: Personal Services data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

The Household Income, Expenditure and Consumption Survey (HIECS) is of great importance among other household surveys conducted by statistical agencies in various countries around the world. This survey provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation.

The First Survey that covered all the country governorates was carried out in 1958/1959 followed by a long series of similar surveys. The current survey, HIECS 2015, is the twelfth in this long series. Starting 2008/2009, Household Income, Expenditure and Consumption Surveys were conducted each two years instead of five years. this would enable better tracking of the rapid changes in the level of the living standards of the Egyptian households.

CAPMAS started in 2010/2011 to follow a panel sample of around 40% of the total household sample size. The current survey is the second one to follow a panel sample. This procedure will provide the necessary data to extract accurate indicators on the status of the society. The CAPMAS also is pleased to disseminate the results of this survey to policy makers, researchers and scholarly to help in policy making and conducting development related researches and studies

The survey main objectives are:

• To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials.

• To measure average household and per-capita expenditure for various expenditure items along with socio-economic correlates.

• To Measure the change in living standards and expenditure patterns and behavior for the individuals and households in the panel sample, previously surveyed in 2008/2009, for the first time during 12 months representing the survey period.

• To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation.

• To estimate the quantities, values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is important to predict future demands.

• To define average household and per-capita income from different sources.

• To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependent on the results of this survey.

• To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas.

• To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure.

• To study the relationships between demographic, geographical, housing characteristics of households and their income.

• To provide data necessary for national accounts especially in compiling inputs and outputs tables.

• To identify consumers behavior changes among socio-economic groups in urban and rural areas.

• To identify per capita food consumption and its main components of calories, proteins and fats according to its nutrition components and the levels of expenditure in both urban and rural areas.

• To identify the value of expenditure for food according to its sources, either from household production or not, in addition to household expenditure for non-food commodities and services.

• To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles ,…etc) in urban and rural areas that enables measuring household wealth index.

• To identify the percentage distribution of income earners according to some background variables such as housing conditions, size of household and characteristics of head of household.

• To provide a time series of the most important data related to dominant standard of living from economic and social perspective. This will enable conducting comparisons based on the results of these time series. In addition to, the possibility of performing geographical comparisons.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.

Geographic coverage

Covering a sample of urban and rural areas in all the governorates.

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

The sample of HIECS 2015 is a self-weighted two-stage stratified cluster sample. The main elements of the sampling design are described in the following.

1- Sample Size The sample size is around 25 thousand households. It was distributed between urban and rural with the percentages of 45% and 55%, respectively.

2- Cluster size The cluster size is 10 households in most governorates. It reached 20 households in Port-Said, Suez, Ismailiya, Damietta, Aswan and Frontier governorates, since the sample size in those governorates is smaller compared to others.

3- Sample allocation in different governorates 45% of the survey sample was allocated to urban areas (11260 households) and the other 55% was allocated to rural areas (13740 households). The sample was distributed on urban/rural areas in different governorates proportionally with the household size A sample size of a minimum of 1000 households was allocated to each governorate to ensure accuracy of poverty indicators. Therefore, the sample size was increased in Port-Said, Suez, Ismailiya, kafr el-Sheikh, Damietta, Bani Suef, Fayoum, Qena, Luxor and Aswan, by compensation from other governorates where the sample size exceeds a 1000 households. All Frontier governorates were considered as one governorate.

4- Core Sample The core sample is the master sample of any household sample required to be pulled for the purpose of studying the properties of individuals and families. It is a large sample and distributed on urban and rural areas of all governorates. It is a representative sample for the individual characteristics of the Egyptian society. This sample was implemented in January 2010 and its size reached more than 1 million household selected from 5024 enumeration areas distributed on all governorates (urban/rural) proportionally with the sample size (the enumeration area size is around 200 households). The core sample is the sampling frame from which the samples for the surveys conducted by CAPMAS are pulled, such as the Labor Force Surveys, Income, Expenditure And Consumption Survey, Household Urban Migration Survey, ...etc, in addition to other samples that may be required for outsources.

A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among external resources in Arabic.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three different questionnaires have been designed as following:

1- Expenditure and Consumption Questionnaire. 2- Assisting questionnaire. 3- Income Questionnaire.

In designing the questionnaires of expenditure, consumption and income, we were taking into our consideration the following: - Using the recent concepts and definitions of International Labor Organization approved in the International Convention of Labor Statisticians held in Geneva, 2003. - Using the recent Classification of Individual Consumption According to Purpose (COICOP). - Using more than one approach of expenditure measurement to serve many purposes of the survey.

A brief description of each questionnaire is given next:

----> 1- Expenditure and Consumption Questionnaire This questionnaire comprises 14 tables in addition to identification and geographic data of household on the cover page. The questionnaire is divided into two main sections.

Section one: Household schedule and other information, it includes: - Demographic characteristics and basic data for all household individuals consisting of 25 questions for every person. - Members of household who are currently working abroad. - The household ration card. - The main outlets that provide food and beverage. - Domestic and foreign tourism. - The housing conditions including 16 questions. - Household ownership of means of transportation, communication and domestic appliances. - Date of purchase, status at purchase, purchase value and

CES: $50 to 69.999 Th: AAE: Miscellaneous data was reported at 994.000 USD in 2016. This records an increase from the previous number of 720.000 USD for 2015. CES: $50 to 69.999 Th: AAE: Miscellaneous data is updated yearly, averaging 985.000 USD from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 1,224.000 USD in 1992 and a record low of 614.000 USD in 2013. CES: $50 to 69.999 Th: AAE: Miscellaneous data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.

The Medical Expenditure Panel Survey (MEPS) Household Component (HC) collects data from a sample of families and individuals in selected communities across the United States, drawn from a nationally representative subsample of households that participated in the prior year's National Health Interview Survey (conducted by the National Center for Health Statistics). During the household interviews, MEPS collects detailed information for each person in the household on the following: demographic characteristics, health conditions, health status, use of medical services, charges and source of payments, access to care, satisfaction with care, health insurance coverage, income, and employment. The panel design of the survey, which features several rounds of interviewing, makes it possible to determine how changes in respondents' health status, income, employment, eligibility for public and private insurance coverage, use of services, and payment for care are related. Public Use Files for Household data are available on the MEPS website.

CES: $100 to 119.999 Th: AAE: HG: HS: Other Household Products data was reported at 462.000 USD in 2015. This records a decrease from the previous number of 576.000 USD for 2014. CES: $100 to 119.999 Th: AAE: HG: HS: Other Household Products data is updated yearly, averaging 480.000 USD from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 735.000 USD in 2008 and a record low of 437.000 USD in 2004. CES: $100 to 119.999 Th: AAE: HG: HS: Other Household Products data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.

CES: $15 to 29.999 Th: AAE: HG: HH Furnishings & Equipments (HF) data was reported at 1,098.000 USD in 2023. This records a decrease from the previous number of 1,161.000 USD for 2022. CES: $15 to 29.999 Th: AAE: HG: HH Furnishings & Equipments (HF) data is updated yearly, averaging 995.000 USD from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 1,202.000 USD in 2021 and a record low of 844.000 USD in 2018. CES: $15 to 29.999 Th: AAE: HG: HH Furnishings & Equipments (HF) 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.

Abstract copyright UK Data Service and data collection copyright owner.

Background:
A household food consumption and expenditure survey has been conducted each year in Great Britain (excluding Northern Ireland) since 1940. At that time the National Food Survey (NFS) covered a sample drawn solely from urban working-class households, but this was extended to a fully demographically representative sample in 1950. From 1957 onwards the Family Expenditure Survey (FES) provided information on all household expenditure patterns including food expenditure, with the NFS providing more detailed information on food consumption and expenditure. The NFS was extended to cover Northern Ireland from 1996 onwards. In April 2001 these surveys were combined to form the Expenditure and Food Survey (EFS), which completely replaced both series. From January 2008, the EFS became known as the Living Costs and Food (LCF) module of the Integrated Household Survey (IHS). As a consequence of this change, the questionnaire was altered to accommodate the insertion of a core set of questions, common to all of the separate modules which together comprised the IHS. Some of these core questions are simply questions which were previously asked in the same or a similar format on all of the IHS component surveys. For further information on the LCF questionnaire, see Volume A of the LCF 2008 User Guide, held with SN 6385. Further information about the LCF, including links to published reports based on the survey, may be found by searching for 'Living Costs and Food Survey' on the ONS website. Further information on the NFS and Living Costs and Food Module of the IHS can be found by searching for 'Family Food' on the GOV.UK website.

History:
The LCF (then EFS) was the result of more than two years' development work to bring together the FES and NFS; both survey series were well-established and important sources of information for government and the wider community, and had charted changes and patterns in spending and food consumption since the 1950s. Whilst the NFS and FES series are now finished, users should note that previous data from both series are still available from the UK Data Archive, under GNs 33071 (NFS) and 33057 (FES).

Purpose of the LCF
The Office for National Statistics (ONS) has overall project management and financial responsibility for the LCF, while the Department for Environment, Food and Rural Affairs (DEFRA) sponsors the food data element. As with the FES and NFS, the LCF continues to be primarily used to provide information for the Retail Prices Index, National Accounts estimates of household expenditure, analysis of the effect of taxes and benefits, and trends in nutrition. The results are multi-purpose, however, providing an invaluable supply of economic and social data. The merger of the two surveys also brings benefits for users, as a single survey on food expenditure removes the difficulties of reconciling data from two sources.

Design and methodology The design of the LCF is based on the old FES, although the use of new processing software by the data creators has resulted in a dataset which differs from the previous structure. The most significant change in terms of reporting expenditure, however, is the introduction of the European Standard Classification of Individual Consumption by Purpose (COICOP), in place of the codes previously used. An additional level of hierarchy has been developed to improve the mapping to the previous codes. The LCF was conducted on a financial year basis from 2001, then moved to a calendar year basis from January 2006 (to complement the IHS) until 2015-16, when the financial year survey was reinstated at the request of users. Therefore, whilst SN 5688 covers April 2005 - March 2006, SN 5986 covers January-December 2006. Subsequent years cover January-December until 2014. SN 8210 returns to the financial year survey and currently covers April 2015 - March 2016.

Northern Ireland sample
Users should note that, due to funding constraints, from January 2010 the Northern Ireland (NI) sample used for the LCF was reduced to a sample proportionate to the NI population relative to the UK.

Family Food database:
'Family Food' is an annual publication which provides detailed statistical information on purchased quantities, expenditure and nutrient intakes derived from both household and eating out food and drink. Data is collected for a sample of households in the United Kingdom using self-reported diaries of all purchases, including food eaten out, over a two week period. Where possible quantities are recorded in the diaries but otherwise estimated. Energy and nutrient intakes are calculated using standard nutrient composition data for each of some 500 types of food. Current estimates are based on data collected in the Family Food...

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_a5523e2bf61e9719aa328984493c8247/view

CES: $70 to 79.999 Th: AAE: Food: Away From Home data was reported at 3,573.000 USD in 2015. This records an increase from the previous number of 3,303.000 USD for 2014. CES: $70 to 79.999 Th: AAE: Food: Away From Home data is updated yearly, averaging 3,259.000 USD from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 3,573.000 USD in 2015 and a record low of 3,112.000 USD in 2010. CES: $70 to 79.999 Th: AAE: Food: Away From Home data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.

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 ongoing Consumer Expenditure Survey (CES) 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 fifteen-month period, and (2) a Diary Survey completed by the sample consumer units for two consecutive one-week periods. The Diary Survey contains consumer information on small, frequently-purchased items such as food, beverages, food consumed away from home, gasoline, housekeeping supplies, nonprescription drugs and medical supplies, and personal care products and services. Participants are asked to maintain expense records, or diaries, of all purchases made each day for two consecutive one-week periods. The Consumer Unit Characteristics and Income (FMLY) files supply information on consumer unit characteristics, consumer unit income, and characteristics and earnings of the reference person and his or her spouse. A consumer unit (CU) consists of all members of a particular housing unit who are related by blood, marriage, adoption, or some other legal arrangement. Consumer unit determination for unrelated persons is based on financial independence. Member Characteristics (MEMB) files contain selected characteristics and earnings for each consumer unit member, including information on relationship to reference person. The Detailed Expenditures (EXPN) files present weekly data on expenditures at the Universal Classification Code (UCC) level, while Income (DTAB) files contain data on CU characteristics and income at the UCC level.

The ongoing Consumer Expenditure Survey (CES) 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 were created from all the major expenditure sections of the Interview Survey questionnaires and contain the most detailed expenditure data from the Interview Survey. Parts 71-75 contain processing files used by the Interview Survey Sample Program (Part 70).

CES: $50 to 69.999 Th: Income Before Taxes data was reported at 59,369.000 USD in 2016. This records an increase from the previous number of 59,293.000 USD for 2015. CES: $50 to 69.999 Th: Income Before Taxes data is updated yearly, averaging 59,009.000 USD from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 59,527.000 USD in 2007 and a record low of 58,249.000 USD in 1997. CES: $50 to 69.999 Th: Income Before Taxes data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.

CES: $50 to 69.999 Th: AAE: HG: HS: Laundry & Cleaning Supplie data was reported at 155.000 USD in 2016. This records an increase from the previous number of 141.000 USD for 2015. CES: $50 to 69.999 Th: AAE: HG: HS: Laundry & Cleaning Supplie data is updated yearly, averaging 156.000 USD from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 190.000 USD in 2001 and a record low of 140.000 USD in 2012. CES: $50 to 69.999 Th: AAE: HG: HS: Laundry & Cleaning Supplie data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.

CES: $50 to 69.999 Th: AAE: Transpo: Public data was reported at 452.000 USD in 2016. This records a decrease from the previous number of 513.000 USD for 2015. CES: $50 to 69.999 Th: AAE: Transpo: Public data is updated yearly, averaging 452.000 USD from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 566.000 USD in 1996 and a record low of 381.000 USD in 2005. CES: $50 to 69.999 Th: AAE: Transpo: Public data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.