Files
republic-os/data/jurisdictions/us/states/la/counties/jefferson-parish/index.md
T
Fabio 1beeaab2db Graph: national county↔district↔legislator authority layer
The first edges in the repo. Every US county now links to the districts it
sits in, weighted by area overlap, and every legislator links to the district
they represent — county → district → representative, traversable.

Data (PostGIS, no Atlas dependency — computed directly from geometry):
- data/county_district_edges.jsonl — 16,328 weighted edges. area_weight =
  ST_Area(ST_Intersection(county, district))/ST_Area(county) over ST_MakeValid
  Census TIGER 2024 geometries, overlaps <0.5% dropped. Uses area-intersection,
  NOT centroid-in-polygon, so urban districts that carve through counties
  (e.g. GA CD-5 / Atlanta across Clayton+DeKalb+Fulton) are captured, not
  silently dropped. Per-county weights sum to ~1.0 per district type.

build.py:
- ~6,896 new district nodes: 435 CD (ACS demographics where available; sparse
  for the 8 states missing from acs_cd) + 4,927 state-house + 1,897 state-senate
  (geometry-only). GEOID/number-keyed, stable.
- county index.md gains a `districts:` block (frontmatter) + a ## Districts
  section (body links, so link-integrity checks them).
- legislators + US House members gain `represents:` pointing at their district
  node; edge stored once on the person, inverse left to the view.
- schemas/jurisdiction: classification enum + chamber/districts fields.

Honest gaps (logged, not hidden): ID + NH have no state-house geometry, so
their house districts get nodes (represents resolves) but no county edges;
CD nodes for acs_cd-missing states are demographically sparse.

Deterministic (byte-identical rebuild); validate.py passes 26,617 records,
link-integrity clean (every district/represents link resolves).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-04 22:28:08 -04:00

4.5 KiB
Raw Blame History

type, title, classification, fips, state, demographics, districts, sources, confidence, tags, timestamp
type title classification fips state demographics districts sources confidence tags timestamp
Jurisdiction Jefferson Parish, LA county 22051 LA
population population_under_18 population_18_64 population_65_plus median_household_income poverty_rate homeownership_rate unemployment_rate median_home_value gini_index vacancy_rate race_white race_black race_asian race_native hispanic bachelors_plus
430920 96631 254163 80126 65252 16.59 62.63 6.16 251400 0.4887 8.96 214484 109899 18338 4868 81368 125759
to rel area_weight
us/states/la/districts/01 in-district 0.712
to rel area_weight
us/states/la/districts/02 in-district 0.1719
to rel area_weight
us/states/la/districts/senate/8 in-district 0.5065
to rel area_weight
us/states/la/districts/senate/10 in-district 0.0429
to rel area_weight
us/states/la/districts/senate/7 in-district 0.0347
to rel area_weight
us/states/la/districts/senate/9 in-district 0.0267
to rel area_weight
us/states/la/districts/senate/5 in-district 0.0183
to rel area_weight
us/states/la/districts/senate/19 in-district 0.0179
to rel area_weight
us/states/la/districts/house/84 in-district 0.4181
to rel area_weight
us/states/la/districts/house/94 in-district 0.1528
to rel area_weight
us/states/la/districts/house/83 in-district 0.0895
to rel area_weight
us/states/la/districts/house/87 in-district 0.0297
to rel area_weight
us/states/la/districts/house/82 in-district 0.0217
to rel area_weight
us/states/la/districts/house/92 in-district 0.019
to rel area_weight
us/states/la/districts/house/78 in-district 0.0149
to rel area_weight
us/states/la/districts/house/85 in-district 0.0133
to rel area_weight
us/states/la/districts/house/79 in-district 0.0118
to rel area_weight
us/states/la/districts/house/54 in-district 0.0107
to rel area_weight
us/states/la/districts/house/80 in-district 0.0097
field source
demographics Census ACS 2023
field source
districts PostGIS area-intersection over Census TIGER 2024 boundaries
official
jurisdiction
county
la
2026-07-03

Jefferson Parish, LA

County jurisdiction — 1 officeholders mapped.

Demographics (ACS 2023)

Measure Value
Population 430920
Under 18 96631
1864 254163
65+ 80126
Median household income 65252
Poverty rate 16.59
Homeownership rate 62.63
Unemployment rate 6.16
Median home value 251400
Gini index 0.4887
Vacancy rate 8.96
White 214484
Black 109899
Asian 18338
Native 4868
Hispanic/Latino 81368
Bachelor's or higher 125759

Districts

Source

  • demographics: Census ACS 2023
  • districts: PostGIS area-intersection over Census TIGER 2024 boundaries