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nmtc-eligibilitylisted

Check whether a U.S. address or census tract is New Markets Tax Credit (NMTC) eligible as a Low-Income Community, and screen a project's NMTC feasibility. Use when the user asks "is this address/tract NMTC eligible", about "distress criteria", "severe distress", "deep distress", "low-income community" / "LIC" status, or wants a first-pass NMTC deal feasibility score. Backed by the audited PyPI packages nmtc-mapper and nmtc-screener — never estimate eligibility from general knowledge.
Jaypatel1511/cdfi-superpowers · ★ 0 · Data & Documents · score 70
Install: claude install-skill Jaypatel1511/cdfi-superpowers
# NMTC Eligibility Grounds NMTC eligibility answers in two published, audited packages instead of guessing. **nmtc-mapper** geocodes an address to a census tract and looks the tract up in the CDFI Fund's NMTC Low-Income Community (LIC) eligibility table. **nmtc-screener** runs a structured first-pass feasibility score on a project. ## When to use - "Is 2400 Grand Concourse, Bronx NY NMTC eligible?" - "Is census tract 36005023702 a low-income community?" - "Does this tract qualify for severe distress / the 85% investment commitment?" - "Screen this $8.5M grocery project for NMTC feasibility." ## When NOT to use - Anything requiring the *official* CDFI Fund allocation decision — this is a screening/eligibility lookup, not an allocation award or legal determination. - Historic Tax Credit, LIHTC, or Opportunity Zone *investment* structuring (OZ *flag* is reported by the mapper, but OZ deal mechanics are `oz-tracker`). - NMTC transaction / credit / capital-stack modeling beyond the screener's first-pass estimate — that depth lives in `nmtc-calc`. ## Install ``` pip install "nmtc-mapper>=0.4.1" nmtc-screener ``` Verified this session (PyPI): **nmtc-mapper 0.4.1**, **nmtc-screener 0.1.0** (`nmtc-calc 0.2.1` is pulled in as a dependency). The `>=0.4.1` floor is not cosmetic — 0.4.0 is where `nmtc_eligible` became tri-state (see below), and 0.4.1 binds the geocoder vintage to the eligibility table's 2020 tract basis (see Data dependencies & fragility). A reader on 0.3.x