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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

3.2 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

Berkeley County, WV

county

54003

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
129514	29910	79833	19771	80815	11.1	76.01	4.74	266300	0.4084	5.2	104505	9606	1251	151	8294	30467

to	rel	area_weight
us/states/wv/districts/02	in-district	0.9995

to	rel	area_weight
us/states/wv/districts/senate/15	in-district	0.6556

to	rel	area_weight
us/states/wv/districts/senate/16	in-district	0.3438

to	rel	area_weight
us/states/wv/districts/house/91	in-district	0.2434

to	rel	area_weight
us/states/wv/districts/house/90	in-district	0.1607

to	rel	area_weight
us/states/wv/districts/house/92	in-district	0.1573

to	rel	area_weight
us/states/wv/districts/house/97	in-district	0.1083

to	rel	area_weight
us/states/wv/districts/house/93	in-district	0.1054

to	rel	area_weight
us/states/wv/districts/house/96	in-district	0.0876

to	rel	area_weight
us/states/wv/districts/house/94	in-district	0.0686

to	rel	area_weight
us/states/wv/districts/house/95	in-district	0.0681

field	source
demographics	Census ACS 2023

field	source
districts	PostGIS area-intersection over Census TIGER 2024 boundaries

official

jurisdiction

county

2026-07-03

Berkeley County, WV

County jurisdiction — 1 officeholders mapped.

Demographics (ACS 2023)

Measure	Value
Population	129514
Under 18	29910
18–64	79833
65+	19771
Median household income	80815
Poverty rate	11.1
Homeownership rate	76.01
Unemployment rate	4.74
Median home value	266300
Gini index	0.4084
Vacancy rate	5.2
White	104505
Black	9606
Asian	1251
Native	151
Hispanic/Latino	8294
Bachelor's or higher	30467

Districts

WV-02 — 100% (congressional)
WV Senate District 15 — 66% (state senate)
WV Senate District 16 — 34% (state senate)
WV House District 91 — 24% (state house)
WV House District 90 — 16% (state house)
WV House District 92 — 16% (state house)
WV House District 97 — 11% (state house)
WV House District 93 — 11% (state house)
WV House District 96 — 9% (state house)
WV House District 94 — 7% (state house)
WV House District 95 — 7% (state house)

Source

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

3.2 KiB Raw Blame History Unescape Escape

Berkeley County, WV

Demographics (ACS 2023)

Districts

Source

3.2 KiB

Raw Blame History