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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

3.7 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

Wyandotte County, KS

county

20209

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
167654	45938	99382	22334	63631	15.76	61.97	5.75	172300	0.4251	10.52	69718	30971	8846	2911	57135	30969

to	rel	area_weight
us/states/ks/districts/02	in-district	0.5982

to	rel	area_weight
us/states/ks/districts/03	in-district	0.3994

to	rel	area_weight
us/states/ks/districts/senate/6	in-district	0.3045

to	rel	area_weight
us/states/ks/districts/senate/5	in-district	0.2647

to	rel	area_weight
us/states/ks/districts/senate/4	in-district	0.2544

to	rel	area_weight
us/states/ks/districts/senate/9	in-district	0.1755

to	rel	area_weight
us/states/ks/districts/house/33	in-district	0.2913

to	rel	area_weight
us/states/ks/districts/house/36	in-district	0.1992

to	rel	area_weight
us/states/ks/districts/house/37	in-district	0.1762

to	rel	area_weight
us/states/ks/districts/house/35	in-district	0.12

to	rel	area_weight
us/states/ks/districts/house/38	in-district	0.0795

to	rel	area_weight
us/states/ks/districts/house/31	in-district	0.0546

to	rel	area_weight
us/states/ks/districts/house/34	in-district	0.0448

to	rel	area_weight
us/states/ks/districts/house/32	in-district	0.0335

field	source
demographics	Census ACS 2023

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

official

jurisdiction

county

2026-07-03

Wyandotte County, KS

County jurisdiction — 1 officeholders mapped.

Demographics (ACS 2023)

Measure	Value
Population	167654
Under 18	45938
18–64	99382
65+	22334
Median household income	63631
Poverty rate	15.76
Homeownership rate	61.97
Unemployment rate	5.75
Median home value	172300
Gini index	0.4251
Vacancy rate	10.52
White	69718
Black	30971
Asian	8846
Native	2911
Hispanic/Latino	57135
Bachelor's or higher	30969

Districts

KS-02 — 60% (congressional)
KS-03 — 40% (congressional)
KS Senate District 6 — 30% (state senate)
KS Senate District 5 — 26% (state senate)
KS Senate District 4 — 25% (state senate)
KS Senate District 9 — 18% (state senate)
KS House District 33 — 29% (state house)
KS House District 36 — 20% (state house)
KS House District 37 — 18% (state house)
KS House District 35 — 12% (state house)
KS House District 38 — 8% (state house)
KS House District 31 — 5% (state house)
KS House District 34 — 4% (state house)
KS House District 32 — 3% (state house)

Source

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

3.7 KiB Raw Blame History Unescape Escape

Wyandotte County, KS

Demographics (ACS 2023)

Districts

Source

3.7 KiB

Raw Blame History