PolicyEngine / PolicyEngine/policyengine-scorecard
US population-statistic adapters (mode 1)
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 0
- Forks
- 0
- Avg merge
- 6d 12h
- Merged PRs (30d)
- 32
Description
Claimable checklist; one adapter lane each (source × area), independent — parallelize. Adapter contract: emit the interchange schema (docs/SCHEMA_NOTES.md), fail loudly on unparsed columns, independent-recompute QC before publishing (see RECONCILIATION.md). Facts come from the Ledger comparator catalog (#6) once landed; until then, adapters may ingest directly with provenance recorded for backfill.
- Urban SotSN (built — instance #1)
- FNS official SNAP state participation rates
- SNAP QC caseload composition (also future subgroup take-up targets)
- ASPE Welfare Indicators (TANF/SSI rates — our TANF seed's source)
- IRS/NTA EITC participation by children
- Census SPM state poverty reports
- KFF Medicaid enrollment/eligibility
- HUD Picture of Subsidized Households
- TRIM3 published tables
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Choose one unchecked source lane and first read docs/SCHEMA_NOTES.md and RECONCILIATION.md, then check issue #6 for the Ledger comparator catalog status. Done means the adapter emits the interchange schema, fails loudly on unparsed columns, performs independent-recompute QC before publishing, and records provenance for any direct ingestion.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-engineering
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100