| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-classification |
| language: |
| - en |
| tags: |
| - government |
| - jurisdictions |
| - open-data |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # Jurisdiction mapping analysis |
|
|
| One row per U.S. local-government jurisdiction (county, municipality, school district, state) with the |
| **primary website** chosen from NACO, USCM, NCES, GSA, league, and override sources — same logic as |
| ``dbt_project/models/marts/jurisdiction_mapping_analysis.sql`` in [open-navigator](https://github.com/getcommunityone/open-navigator). |
|
|
| ## Schema |
|
|
| | Column | Description | |
| |--------|-------------| |
| | `jurisdiction_id` | Stable id (e.g. `county_01125`) | |
| | `name`, `state_code`, `jurisdiction_type` | Identity | |
| | `primary_website_url`, `primary_website_source` | Winning portal URL and source | |
| | `has_*_source` | Directory coverage flags | |
| | `primary_url_syntax_ok`, `primary_url_passes_basic_checks` | Static URL QA (not HTTP reachability) | |
| | `acs_population_tier`, `acs_income_level` | ACS demographics when joined | |
|
|
| ## Load |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("CommunityOne/one-jurisdiction-mapping-analysis", split="jurisdiction_mapping_analysis") |
| # or |
| import pandas as pd |
| df = pd.read_parquet("hf://datasets/CommunityOne/one-jurisdiction-mapping-analysis/jurisdiction_mapping_analysis/0000.parquet") |
| ``` |
|
|
| ## Provenance |
|
|
| - **Rows:** 46,500 |
| - **Generated:** 2026-05-18T21:19:09.482402+00:00 |
| - **Source table:** `public.jurisdiction_mapping_analysis` |
|
|
