---
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`