1992 Survey of Consumer Finances
Summary Results
Three types of summary output are available on this page: a Federal Reserve Bulletin article; two sets of tables, in Excel format, that provide estimates comparable to the tables included in the Bulletin article, one using the internal SCF data and another using the public SCF data; and an Interactive Chart that includes time series charts using triennial SCF data covering the period 1989 to the most recent survey year.
Changes in Family Finances from 1989 to 1992: Evidence from the Survey of Consumer Finances
Arthur B. Kennickell and Martha Starr-McCluer
Federal Reserve Bulletin, vol. 80 (October 1994), pp. 861-82.
Article (108 KB PDF) | Article (506 KB Postscript)
Documentation
Four types of technical documentation for the 1992 SCF are available: the 1992 codebook, a questionnaire-style summary of the survey variables, the household enumeration folder (HEF), and the survey questionnaire. In addition, technical working papers on the survey methodology are available.
Codebook for the 1992 Survey of Consumer Finances
The codebook contains the text, variable names, and responses for the questions asked in the survey. Also provided are a brief summary of the technical aspects of the survey design, guidelines used in editing, and a list of the variables included in the public data set.
Codebook (619 KB ASCII)
Last updated 7/3/2012
Questionnaire-Style Summary of the 1992 SCF Variables
This document is based on the questionnaire for the 1992 SCF. The questionnaire has been altered to include the SCF X-variable names of the final variables. The codes available in this document do not always include the full range used in the data set. The codebook is the appropriate place to turn for the fine details of the structure of the data. At key points during the administration of the interview, interviewers show the respondents a series of cards containing information relevant to framing or answering a question. Most of this information is displayed as part of the question text or response categories, but some is more general.
Questionnaire-style summary (6.2 MB PDF)
Showcards (307 KB PDF)
Last updated March 1, 2001
Household Enumeration Folder (HEF)
The 1992 HEF contains forms used for the non-interview reports, the household listing, the first contact with the household, and the record of calls made on the household.
HEF (785 KB PDF)
Last updated February 17, 1998
Survey Questionnaire for the 1992 Survey of Consumer Finances
The 1992 survey data were collected using a paper questionnaire.
Questionnaire (488 KB PDF)
Questionnaire (6.4 MB Postscript)
Survey Data
Two general types of data set are provided:
Full Public Data: Full data sets of all SCF variables
Summary Extract Public Data: Extract data set of summary variables used in the Federal Reserve Bulletin article – all dollar variables inflation-adjusted to 2022 dollars
All of the versions of the full and summary extract public data sets are provided in compressed form as WINZIP files. (See PKWARE website for software to uncompress WINZIP files.)
Special note to R users: An outside programmer has created scripts for converting and working with SCF data. These scripts are available for download from: https://guilhermejacob.github.io/context/1.6-survey-of-consumer-finances-scf.html#survey-of-consumer-finances-scf
Missing data have been imputed five times with a multiple imputation technique. The information is stored in five separate and internally coherent imputation replicates (implicates). Thus, for the 3,906 families interviewed for the survey, there are 19,530 records in the data set. The codebook provides more detail on the structure of the data set.
Full Public Data Set: SAS format
The full final survey data are available to the public in two SAS transport formats that may be used with the current version of SAS. (Help is available for importing these files as SAS data sets.) One version is created using PROC CPORT; this is the smaller of the two files. The second one is created using PROC COPY with the EXPORT option; this file may be particularly convenient for users who do not have access to SAS, but who do have some means of translating the data set to another form using a software package that does not support CPORT files.
WARNING: Some browser versions will download these files in unzipped form; the resulting PROC CPORT transport file will require about 200 MB of disk space and the resulting PROC COPY transport file will require about 400 MB of disk space. When uncompressed and imported as a V9.1.3 engine SAS data set, these files require about 400 MB of disk space.
Main survey data: CPORT version (6.2 MB ZIP)
Main survey data: COPY/EXPORT version (9.7 MB ZIP)
Last updated 9/4/2014
Full Public Data Set: Stata format
A second version of the full public data set is given as a Stata data set. Because the data set contains approximately 4200 variables, users will need to use Stata SE if they wish to import all the variables. Users of standard Stata will need to specify a subset of variables when using the data set.
WARNING: Some browser versions will download these files in unzipped form; the resulting Stata file will require about 100 MB of disk space.
Main survey data: Stata (5.1 MB ZIP)
Last updated 9/4/2014
Full Public Data Set: ASCII format
A third version of the full public data set is given in ASCII format. The variables included have exactly the same values as those in the SAS and Stata data sets. The layout of the variables is given by a format file, which is provided in Excel and tab-delimited formats. Note that under certain operating systems the end of record marker will add one character to the record length listed in the format file.
WARNING: Some browser versions will download these files in unzipped form; the resulting ASCII file will require about 800 MB of disk space.
Main survey data: ASCII (20.3 MB ZIP)
Map of variables: Excel (584 KB Excel)
Map of variables: Tab-delimited (153 KB ASCII)
Last updated 9/4/2014
Summary Extract Data set: SDA On-line analysis tool
The SDA on-line analysis tool is a program provided by a third party for the on-line analysis of summary variables such as the statistics found in the Federal Reserve Bulletin article. SDA is developed and maintained by the Computer-assisted Survey Methods Program (CSM) at the University of California, Berkeley. The Help/FAQ file linked to at the top of the SDA page provides instructions on how to perform analysis of the data.
Summary Extract Data set: SAS format
The summary extract data set contains variables used in the Federal Reserve Bulletin article. All dollar variables have been inflation-adjusted to 2022 dollars. Definitions of the variables in the summary extract dataset can be found in the SAS program used to create the data set. The SAS version is created using PROC CPORT, a version using PROC COPY and the EXPORT option is not provided due to the limitation on the length of variable names when using the EXPORT option.
WARNING: Some browser versions will download these files in unzipped form; the resulting PROC CPORT transport file will require about 16 MB of disk space.
SAS extract data (2.2 MB ZIP)
Last updated 4/3/2024
Summary Extract Data set: Stata format
A second version of the extract data set is given as a Stata data file.
WARNING: Some browser versions will download these files in unzipped form; the resulting Stata file will require about 30 MB of disk space.
Stata extract data (2.2 MB ZIP)
Last updated 4/3/2024
Summary Extract Data set: CSV format
A third version of the extract data set is given as a CSV file. Due to column limitiations in versions of Excel prior to 2007, the full file can only be viewed in Excel 2007 and later versions.
WARNING: Some browser versions will download these files in unzipped form; the resulting file will require about 30 MB of disk space.
CSV extract data (2 MB ZIP)
Last updated 4/3/2024
Replicate Weight Files
For many purposes, one must consider the sampling error of SCF estimates. However, because detailed information on the sample design cannot be released, and because of the complexity of the SCF design, users cannot apply some of the standard procedures for variance estimation. A set of sample replicates has been created with bootstrap techniques and analysis weights have been computed independently for each replicate. Analysts may use these weights to make approximate estimates of sampling variance. Replicate weights corresponding to X42001 are available. See the codebook for more details. When uncompressed and restored to a V9.1.3 engine SAS data set, each file requires 42.9 MB of disk space.
WARNING: Some browser versions will download these files in unzipped form; the resulting PROC CPORT transport file will require 36.3 MB of disk space, the resulting PROC COPY transport file will require 41.2 MB of disk space, and the resulting Stata file will require 18.9 MB of disk space.
Replicate weights--X42001: CPORT version (20.9 MB ZIP)
Replicate weights--X42001: COPY/EXPORT version (21.3 MB ZIP)
Replicate weights--X42001: Stata version (20.5 MB ZIP)
Last updated 9/4/2014