TANF caseload (families and recipients)
HHS Administration for Children and Families, Office of Family Assistance
In a RepVector build, this dataset describes the built environment and residential stability of a territory.
| State | Fiscal year | Month | Families | Total recipients | Adult recipients |
|---|---|---|---|---|---|
| Pennsylvania | FY2025 | Oct 2024 | 22,553 | 55,922 | 13,690 |
| Pennsylvania | FY2025 | Nov 2024 | 21,725 | 53,723 | 12,970 |
| Pennsylvania | FY2025 | Dec 2024 | 21,124 | 52,200 | 12,499 |
| Pennsylvania | FY2025 | Jan 2025 | 20,989 | 52,052 | 12,562 |
| Pennsylvania | FY2025 | Feb 2025 | 20,270 | 50,046 | 11,945 |
| Pennsylvania | FY2025 | Mar 2025 | 19,845 | 48,718 | 11,576 |
| Pennsylvania | FY2025 | Apr 2025 | 19,764 | 48,435 | 11,566 |
| Pennsylvania | FY2025 | May 2025 | 19,445 | 47,841 | 11,440 |
What this dataset is
Monthly Temporary Assistance for Needy Families (TANF) caseload by state: number of assisted families and total, adult, and child recipients for each month of a federal fiscal year, with U.S. totals for comparison. Published by ACF as fiscal-year workbooks. It is published by HHS Administration for Children and Families, Office of Family Assistance and can be queried at state level, refreshed annual workbook, monthly observations. Each row is a period observation, so results show direction and rate of change rather than a single snapshot.
Why it is useful
- Signals growth corridors before service capacity catches up with them.
- Adds cost-of-living and tenure context that shapes access to services.
Questions it helps answer
- Which parts of this market are adding households fastest?
- Does housing cost pressure explain access gaps here?
How different verticals use it
RepVector is vertical-agnostic: this dataset is selected by what your question asks for, not by industry. These are common ways teams put it to work.
Quantifies unstable-housing pressure that drives service demand.
Reads supply and cost pressure at the geography you are underwriting.
Explains social drivers behind avoidable utilisation in a market.
Grounds affordability assumptions in published housing data.
How RepVector uses it
- You describe a market in plain language. The geography resolver turns the place you named into the exact identifiers this dataset needs — city to county to state, plus DMA where relevant — so a query at state runs without you knowing any codes.
- The planner selects TANF caseload (families and recipients) only when your question matches what it actually reports. It is never included to pad a result.
- Returned rows are normalised into the shared metric layer, so figures from HHS Administration for Children and Families, Office of Family Assistance line up with every other source in the same dashboard instead of sitting in an isolated table.
- Quality checks score coverage and recency. If HHS Administration for Children and Families, Office of Family Assistance suppresses or omits a value for your geography, the gap is reported as a gap — nothing is estimated or filled in.
- The result renders as charts, KPIs and, where the rows are entities, prioritised targets you can export to PDF, Excel, CSV or JSON.
What it does not tell you
- Describes structures and tenure, not service demand directly.
| Field | Key | Type |
|---|---|---|
| State | state | geo |
| Fiscal year | fiscalYear | string |
| Month | month | string |
| Families | families | number |
| Total recipients | recipients | number |
| Adult recipients | adults | number |
| Child recipients | children | number |
| Families — share of U.S. (%) | share_families | percent |
| Total recipients — share of U.S. (%) | share_recipients | percent |
| Adult recipients — share of U.S. (%) | share_adults | percent |
| Child recipients — share of U.S. (%) | share_children | percent |
| U.S. families | us_families | number |
| U.S. total recipients | us_recipients | number |
| U.S. adult recipients | us_adults | number |
| U.S. child recipients | us_children | number |
How it fits with the rest of the catalog
Housing growth is an early indicator; population and facility data confirm whether service followed. RepVector queries every selected dataset against the same resolved geography and time window, then normalises the results into one metric layer so they can be charted side by side. These datasets are the most common companions to TANF caseload (families and recipients):
Other housing datasets
Common questions
What does TANF caseload (families and recipients) contain?
Monthly Temporary Assistance for Needy Families (TANF) caseload by state: number of assisted families and total, adult, and child recipients for each month of a federal fiscal year, with U.S. totals for comparison. Published by ACF as fiscal-year workbooks. It is published by HHS Administration for Children and Families, Office of Family Assistance at state grain.
How often is it refreshed?
HHS Administration for Children and Families, Office of Family Assistance publishes on a annual workbook, monthly observations cycle. RepVector re-reads the source on that cadence and keeps every prior capture, so you can see what changed.
Do I need an account to use it?
No. Browsing the catalog and the free lookup tools needs no account. Running a full market build across every county in a territory is the paid product.
Build the list for one county and see whether the names are right.
Ask in plain language. RepVector finds the universe, enriches each target from its own website, scores it 0–100, and hands you a ranked call list with phones, addresses and named contacts.
3 free runs — no card required.