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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.
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
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
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