Consumer Expenditure Diary Survey 2013
United States, 2013
Reference ID
USA_2013_CE_DS_V01_M_BLS
Producer(s)
United State Census Bureau, United States Department of Labor
Collections
Created on
Aug 10, 2016
Last modified
May 17, 2017
Page views
13688
Downloads
1514
Identification
Survey ID Number
USA_2013_CE_DS_V01_M_BLS
Title
Consumer Expenditure Diary Survey 2013
Country
| Name | Country code |
|---|---|
| United States | USA |
Series Name
Income/Expenditure/Household Survey [hh/ies]
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 or CUs) of average expenditures in news releases, reports, and articles. Tabulated CE data are also available on the internet (see Section XV. Appendix 4). The microdata are available on the public BLS website for free download. These microdata files present detailed expenditure and income data for the Diary component of the CE. They include weekly expenditure (EXPD), annual income (DTBD), and imputed income (DTID) files. The data in EXPD, DTBD, and DTID files are categorized by a Universal Classification Code (UCC). The advantage of the EXPD and DTBD files is that with the data classified in a standardized format, the user may perform comparative expenditure (income) analysis with relative ease. The FMLD and MEMD files contain data on the characteristics and demographics of CUs and CU members. The summary level expenditure and income information on the FMLD files permits the data user to link consumer spending, by general expenditure category, to household characteristics and demographics on one set of files.
Estimates of average expenditures from the Diary survey, integrated with data from the Interview survey, are published online in the CE annual reports.. A number of recent publications containing data from the CE are available on the public website as well. The microdata files are in the public domain and, with appropriate credit, may be reproduced without permission. A suggested citation is: "U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, Diary Survey, 2012."
The Diary survey PUMD are organized into five major data files for each quarter:
1. FMLD - a file with characteristics, income, and summary level expenditures for the household
2. MEMD - a file with characteristics and income for each member in the household
3. EXPD - a detailed weekly expenditure file categorized by UCC
4. DTBD - a detailed annual income file categorized by UCC
5. DTID - a household imputed income file categorized by UCC
Estimates of average expenditures from the Diary survey, integrated with data from the Interview survey, are published online in the CE annual reports.. A number of recent publications containing data from the CE are available on the public website as well. The microdata files are in the public domain and, with appropriate credit, may be reproduced without permission. A suggested citation is: "U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, Diary Survey, 2012."
The Diary survey PUMD are organized into five major data files for each quarter:
1. FMLD - a file with characteristics, income, and summary level expenditures for the household
2. MEMD - a file with characteristics and income for each member in the household
3. EXPD - a detailed weekly expenditure file categorized by UCC
4. DTBD - a detailed annual income file categorized by UCC
5. DTID - a household imputed income file categorized by UCC
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Consumer Unit
Version
Version number
Version 01
Scope
Study notes
The scope of the study includes:
- Education- Hhealth
- Race
- Gasoline
- Food
- Education- Hhealth
- Race
- Gasoline
- Food
Topic Classification
| Topic | Vocabulary |
|---|---|
| Education | ILO |
| Health Insurance | ILO |
| Gender | ILO |
| Food (production, crisis) | ILO |
| Oil & Gas | ILO |
Keywords
| Keyword |
|---|
| Alcoholic beverages |
| Healthcare |
| Housing |
Coverage
Geographic Coverage
National
Universe
Eligible population includes all civilian non-institutional persons.
Producers and sponsors
Authoring entity/Primary investigators
| Agency Name | Affiliation |
|---|---|
| United State Census Bureau | Government of USA |
| United States Department of Labor | Bureau of Labor Statistics |
Sampling
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 2012 sample is composed of 91 areas. The design classifies the PSUs into four categories:
21 "A" certainty PSUs are Metropolitan Statistical Areas (MSA's) with a population greater than 1.5 million.
38 "X" PSUs, are medium-sized MSAs.
16 "Y" PSUs are nonmetropolitan areas that are included in the CPI.
16 "Z" 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 2012 survey is generated from the 2000 Population Census 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. 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. Each selected sample unit is requested to keep two 1-week diaries of expenditures over consecutive weeks. The earliest possible day for placing a diary with a household is predesignated with each day of the week having an equal chance to be the first of the reference week. The diaries are evenly spaced throughout the year.
21 "A" certainty PSUs are Metropolitan Statistical Areas (MSA's) with a population greater than 1.5 million.
38 "X" PSUs, are medium-sized MSAs.
16 "Y" PSUs are nonmetropolitan areas that are included in the CPI.
16 "Z" 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 2012 survey is generated from the 2000 Population Census 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. 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. Each selected sample unit is requested to keep two 1-week diaries of expenditures over consecutive weeks. The earliest possible day for placing a diary with a household is predesignated with each day of the week having an equal chance to be the first of the reference week. The diaries are evenly spaced throughout the year.
Weighting
The data are not weighted. However, the data files feature various weight variables that users may wish to apply during analyses. Please refer to the Diary Survey Users' Guide for a detailed explanation of the weighting procedures.NOTE: The weight for a consumer unit (CU) can be different for each week in which the CU participates in the survey as the CU may represent a different number of CUs with similar characteristics.
Data Collection
Dates of Data Collection (YYYY/MM/DD)
| Start date | End date |
|---|---|
| 2013 | 2013 |
Mode of data collection
Face-to-face [f2f]
Characteristics of Data Collection Situation - Notes on data collection
This collection has been minimally processed. ICPSR (Inter-University Consortium for Political and Social Research) has extracted variable label and value label information from the Interview Data Dictionary (contained within the ICPSR Codebook) and applied these labels to the corresponding data files. Additionally, UCC item codes have been applied for each UCC variable.
Data access
Contact
| Name | Affiliation | URI | |
|---|---|---|---|
| Bureau of Labor Statistics | Government of USA | cexinfo@bls.gov | www.bls.gov |
Citation requirement
United States Department of Labor. Bureau of Labor Statistics . Consumer Expenditure Survey, 2013: Diary Survey Files. ICPSR36275-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2015-10-19. http://doi.org/10.3886/ICPSR36275.v1.
Contact
| Name | Affiliation | URI | |
|---|---|---|---|
| Bureau of labor Statistics | Government of USA | mshukait@umich.edu | Link |
Metadata production
Document ID
DDI_USA_2013_CES_DS_V01_M_BLS
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Department of Statistics | ILO | International Labour Organization | Producer of DDI |
Date of Production
2016-08-10