Datasets:

CommunityOne
/

one-jurisdiction-mapping-analysis

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.

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