Welcome to the FFCWS Metadata Explorer!
This website houses the metadata for over 25,000 variables from the Future of Families and Child Wellbeing Study Public Data and Restricted-Use Contract Data. Please note that not all variables displayed on this site are available through the OPR Archive. Access to data and files with the '(RES)' prefix in the 'survey' field or 'restricted' in the 'source' field require a restricted-use contract data license; See this link for more information.
The Fragile Families and Child Wellbeing Study changed its name to The Future of Families and Child Wellbeing Study (FFCWS) in January 2023. Note that some contents in the metadata - such as the API script and code in the R and Python packages - may contain the study's former name. Any further references to FFCWS should kindly observe this name change.
What you can do on this website
This resource is great for getting started with exploring the FFCWS variables.
Perform more detailed queries and/or text searches in the FFCWS metadata.
|Download Full Metadata
Download the full metadata as a CSV file.
|Column in CSV
|The name of the variable in the current public data
|The name of the variable in the data before the 2018 re-release
|A short description of the variable
|The exact wording of the question from the questionnaire
|The exact wording of the lead-in question from the questionnaire, where applicable
|A categorical variable, defining where the data stored in the variable was generated from; if source is listed as restricted, access to data requires a restricted-use contract data license
|The subject of the survey that the variable was from; (RES) indicates where access to data requires a restricted-use contract data license
|The round of data collection that this variable was in (1-6)
|The person that provided the information for this variable
|The subjects of the variable
|The broader concept(s) that are measured by this variable (contains up to two potential topics -- e.g. demographics, employment)
|The specific concept(s) that are measured by this variable (contains up to two potential sub-topics, e.g. race/ethnicity, work stress)
|Asked in (N) Cities
|The number of cities in which this question was asked
|The way that the data is stored in the variable, e.g binary, categorical, continuous
|A code to alert the user that this variable may have an unexpected way to store response codes
|A flag for whether this variable was included in the data file for the Fragile Families Challenge (yes/no)
|Denotes a group of similar variables across waves and/or surveys
|Number of variables in the given variable group
|List of all variable names in the given variable group
|Indicates if the question originates from one of a list of pre-established scales
|Response codes +
|Lists all possible response options for categorical and binary variables (string)
|Lists descriptions of all potential response options for categorical and binary variables (string)
|Lists the frequency that response[n] appears in the data files
|Lists the percentage of all values that freq[n] represents
|Parsed from the variable name, indicates the section of the survey in which the question was asked
|Parsed from the variable name, indicates the question number if from a survey or pneumonic for the substance of non-survey variables
|For ordered variables, displays the number of non-missing observations
|For ordered variables, displays the minimum non-missing value
|For ordered variables, displays the maximum non-missing value
|For ordered variables, displays the average of non-missing values
|For ordered variables, displays the standard deviation of non-missing values
+ Variables from the Opportunity Insights and SEDA Contract Data files contain response codes using Stata's extended missing values. These may display as system missing in other programs.
* Not included on Explorer website
Other API resources to help you use the metadata
|FFCWS Metadata API
|Instructions on how to directly access the Web API without using the website interface.
|This package allows R users to retrieve metadata within R via the FFCWS Metadata API. Users can select, filter, and search metadata for relevant variables. More information is available on github.
|This Python package provides convenient wrrappers to interface with the FFCWS Metadata API in Python. By downloading and importing the single ff.py module, users can query the metadata variables.