The 2022 Survey of Consumer Finances (SCF) is the most recent survey conducted. Below are links to the report, interactive chartbook, historical report tables, full public dataset, extract dataset, replicate weight files, and technical documents.
Summary Results
Changes in U.S. Family Finances from 2019 to 2022: Evidence from the Survey of Consumer Finances
HTML | PDF
October 18, 2023
Greater Wealth, Greater Uncertainty: Changes in Racial Inequality in Survey of Consumer Finances
U.S. Families' Experiences of the COVID-19 Pandemic: Evidence from the Survey of Consumer Finances
SCF Interactive Chart
See description of files and technical documentation for more information
Historic Tables
The following tables are based on those that have historically appeared in the main article. Estimates for all survey years from 1989 to the most recent survey year are included in both nominal and real terms.
Tables Based on Internal and External Data
File Type | File | Documentation | Last Updated |
---|---|---|---|
Excel Based on Internal Data | Estimates in nominal dollars (2 MB Excel) Estimates inflation-adjusted to 2022 dollars (3 MB Excel) |
11/21/2023 | |
Excel Based on Public Data | Estimates in nominal dollars (3 MB Excel) Estimates inflation-adjusted to 2022 dollars (3 MB Excel) |
10/24/2023 |
See description of files and technical documentation for more information
Survey Data and Replicate Weight Files
Full Public Data Set - Full data sets of all SCF variables.
File Type | Main Survey Data | Replicate Weight File (X42001) | Documentation | Last Updated |
---|---|---|---|---|
SAS | CPORT version (10 MB ZIP) COPY/EXPORT version (15 MB ZIP) |
CPORT version (27 MB ZIP) COPY/EXPORT version (27 MB ZIP) |
10/18/2023 | |
STATA | Stata version (9 MB ZIP) | Stata version (26 MB ZIP) | 10/18/2023 | |
ASCII | ASCII (38 MB ZIP) Variable Map: Excel (Excel) Variable Map: Tab-delimited (ASCII) |
10/18/2023 |
WARNING: Please review the following PDF for instructions on how to calculate correct standard errors. As a result of multiple imputation, the dataset you are downloading contains five times the number of actual observations. Failure to account for the imputations and the complex sample design will result in incorrect estimation of standard errors.
See description of files and technical documentation and recent changes for more information
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
Summary Extract Public Data - Summary variables used in the Federal Reserve Report – all dollar variables inflation-adjusted to 2022 dollars.
File Type | File | Documentation | Last Updated |
---|---|---|---|
SDA online analysis | SDA analysis tool |
Creating SCF Bulletin Tables in SDA (DOC) SAS macro - Variable Definitions (TXT)
|
4/4/2024 |
SAS | SAS extract data (3 MB ZIP) | 4/3/2024 | |
STATA | Stata extract data (3 MB ZIP) | 4/3/2024 | |
CSV | CSV extract data (2 MB ZIP) | 4/3/2024 |
See description of files and technical documentation for more information
Technical Documents
File | Last Updated |
---|---|
Codebook (2.7 MB ASCII) | 4/3/2024 |
Showcards (PDF) | 10/18/2023 |
Questionnaire Outline (PDF) | 10/18/2023 |
Simulation of MR Interview Program (1 MB DOCX) | 10/18/2023 |
Changes for 2022 (TXT) | 10/18/2023 |
Net Worth Flowchart (PDF) | 10/18/2023 |
See description of files and technical documentation for more information
Missing Data
Missing data in the survey have been imputed five times using a multiple imputation technique. The information is stored in five separate imputation replicates (implicates). Thus, for the 4,602 families interviewed for the survey, there are 23,010 records in the data set. Seven observations were deleted for the public version of the data set for purposes of disclosure avoidance; thus, there are 22,975 records in the public data set for 4,595 families. The codebook provides more detail on the structure of the data set and the steps taken for disclosure avoidance.
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