Temporary Assistance for Needy Families (TANF) Data Innovation Project

2017 - 2024

The TANF Data Innovation (TDI) project supported innovation and efficiency within the TANF program through enhanced use of administrative data from TANF and related human services programs. OPRE’s Division of Data and Improvement oversaw this project with support from the Division of Economic Independence and ACF’s Office of Family Assistance (OFA). 

Launched in 2017, TDI was led by MDRC in partnership with Chapin Hall at the University of Chicago, the Coleridge Initiative, and Actionable Intelligence for Social Policy at the University of Pennsylvania. The project’s aim was to provide timely, actionable, and relevant technical assistance to federal, state, and local TANF agencies on a variety of issues related to TANF data.

The TDI project included the following key tasks:

  • Assessment of the needs of states and territories regarding the collection, sharing, and use of TANF data;
  • Support to states and localities through the TANF Data Collaborative, including wide-ranging training and technical assistance for states and localities on a variety of topics related to TANF data use;
  • Federal capacity building through support to OFA on data-related tasks.

In 2019, TDI was expanded to include the TANF Employment Project (TEP). TEP represented ACF’s continued investment in using existing agency data to understand and manage the TANF program.

TEP supported:

  • the transformation of state-reported TANF data into a longitudinal format;
  • expanded matching of TANF data with wage and unemployment insurance information from the National Directory of New Hires; and
  • hosting the resulting data sets in a secure cloud environment to allow collaborative analysis between TDI researchers and ACF staff.

In 2022, ACF funded a two-year TDI Dissemination Supplement, designed to make toolkits and lessons learned from the project available to states, federal agencies, and external researchers.

Materials based on this contract’s activities include:

Materials from the 2019 TDI Needs Assessment

Toolkits for planning data sharing, TANF data linkage, and analysis capacity

Products about the TANF Data Collaborative

Products about the TANF Employment Project

Point(s) of contact: Nicole Deterding and Siri Warkentien (TDI Dissemination Supplement)

Related Resources

This brief describes TDI’s efforts to transform federal TANF and employment data into an integrated resource for program management and evidence building.

The Temporary Assistance for Needy Families (TANF) Data Collaborative Pilot Initiative is a component of the TANF Data Innovation project. The 30-month pilot offered technical assistance and training to support cross-disciplinary teams of staff at eight state and county TANF programs in the routine use of TANF and other administrative data to inform policy and practice.

Included in this collection are eight profiles summarizing the data analytics projects undertaken by participating agencies.

This brief describes the TANF Data Collaborative (TDC), an innovative approach to increasing data analytics capacity at state Temporary Assistance for Needy Families (TANF) agencies.

Explore findings from an analysis of patterns of data use by state TANF agencies and understand what characterizes exemplary data use.

The Temporary Assistance for Needy Families (TANF) Data Innovation project and the TANF Data Collaborative (TDC) Pilot were established to expand the routine use, integration, and analysis of TANF and employment data by agency staff to improve program services and outcomes for families with low incomes. The 30-month TDC Pilot offered technical assistance and training to support cross-disciplinary teams of staff at eight state and county TANF programs.

Explore tools and resources used to leverage administrative data for program improvement in the TANF Data Collaborative Pilot Initiative via a “learning by doing” approach to data analytics.

This toolkit offers strategies and tools to help agencies build the culture and infrastructure needed to apply data analysis routinely, effectively, and accurately — referred to in this publication as “sustainable data use.”

Explore this toolkit filled with practical guidance for state and local TANF agencies on how to access, link, and analyze employment data from unemployment insurance (UI) systems for program monitoring, reporting, and evaluation.

Learn how state TANF agencies use data to monitor and improve programs and build evidence in the TANF Data Innovation Needs Assessment Brief.