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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

Clayton County, GA

county

13063

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
298924	80080	186822	32022	59806	17.95	54.54	7.2	222300	0.4246	8.26	28917	207482	14751	1345	43419	57176

to	rel	area_weight
us/states/ga/districts/13	in-district	0.5325

to	rel	area_weight
us/states/ga/districts/05	in-district	0.4658

to	rel	area_weight
us/states/ga/districts/senate/34	in-district	0.4172

to	rel	area_weight
us/states/ga/districts/senate/17	in-district	0.3823

to	rel	area_weight
us/states/ga/districts/senate/44	in-district	0.2003

to	rel	area_weight
us/states/ga/districts/house/74	in-district	0.2438

to	rel	area_weight
us/states/ga/districts/house/77	in-district	0.2111

to	rel	area_weight
us/states/ga/districts/house/76	in-district	0.1911

to	rel	area_weight
us/states/ga/districts/house/75	in-district	0.1666

to	rel	area_weight
us/states/ga/districts/house/79	in-district	0.1191

to	rel	area_weight
us/states/ga/districts/house/78	in-district	0.068

field	source
demographics	Census ACS 2023

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

official

jurisdiction

county

2026-07-03

Clayton County, GA

County jurisdiction.

Demographics (ACS 2023)

Measure	Value
Population	298924
Under 18	80080
18–64	186822
65+	32022
Median household income	59806
Poverty rate	17.95
Homeownership rate	54.54
Unemployment rate	7.2
Median home value	222300
Gini index	0.4246
Vacancy rate	8.26
White	28917
Black	207482
Asian	14751
Native	1345
Hispanic/Latino	43419
Bachelor's or higher	57176

Districts

GA-13 — 53% (congressional)
GA-05 — 47% (congressional)
GA Senate District 34 — 42% (state senate)
GA Senate District 17 — 38% (state senate)
GA Senate District 44 — 20% (state senate)
GA House District 74 — 24% (state house)
GA House District 77 — 21% (state house)
GA House District 76 — 19% (state house)
GA House District 75 — 17% (state house)
GA House District 79 — 12% (state house)
GA House District 78 — 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

Clayton County, GA

Demographics (ACS 2023)

Districts

Source

3.2 KiB

Raw Blame History