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State society-wide reports run on the sparse national dataset #3864
The deployed bundle is policyengine[models]==5.2.0 (pyproject.toml line 46), which uses policyengine-us 1.764.6 and data populace-us-2024-buildp-sparse-rmloss100-cae8640-20260728T011454Z. That matches what the app's report page shows ("Model version: 1.764.6 • Data version: populace-us-2024-buildp-sparse-rmloss100-cae8640-20260728T011454Z"). PolicyEngine.py 6.2.1 (PR #3855) moves to policyengine-us 2.2.1 and data populace-us-2024-spm-20260915. However, 6.2.1 also maps state regions to the national file, so state reports keep using national data after that bump.
Effect on a state report: Pennsylvania
With the deployed pair, the Pennsylvania slice has 1,999 household records and an effective sample of 314 (Kish ESS, 2026 baseline). Poor SPM units with children under 6 have an ESS of 5.2. A Pennsylvania refundable credit for children under 6 shows close to zero poverty impact at every amount up to $2,200 per child. The reason is that poor units with children under 6 whose poverty gap is at most $1,000 per child carry 0 weighted units, and at $2,200 per child they carry 2 (details in PolicyEngine/policyengine.py#551).
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