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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

Knox County, ME

county

23013

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
41003	6902	22642	11459	74096	8.18	78.72	3.88	324900	0.4474	24.75	38422	118	202	53	768	17373

to	rel	area_weight
us/states/me/districts/01	in-district	0.4059

to	rel	area_weight
us/states/me/districts/senate/12	in-district	0.3144

to	rel	area_weight
us/states/me/districts/senate/13	in-district	0.0348

to	rel	area_weight
us/states/me/districts/senate/7	in-district	0.0123

to	rel	area_weight
us/states/me/districts/house/44	in-district	0.0949

to	rel	area_weight
us/states/me/districts/house/43	in-district	0.0749

to	rel	area_weight
us/states/me/districts/house/45	in-district	0.05

to	rel	area_weight
us/states/me/districts/house/15	in-district	0.04

to	rel	area_weight
us/states/me/districts/house/41	in-district	0.0377

to	rel	area_weight
us/states/me/districts/house/42	in-district	0.0344

to	rel	area_weight
us/states/me/districts/house/40	in-district	0.0297

field	source
demographics	Census ACS 2023

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

official

jurisdiction

county

2026-07-03

Knox County, ME

County jurisdiction.

Demographics (ACS 2023)

Measure	Value
Population	41003
Under 18	6902
18–64	22642
65+	11459
Median household income	74096
Poverty rate	8.18
Homeownership rate	78.72
Unemployment rate	3.88
Median home value	324900
Gini index	0.4474
Vacancy rate	24.75
White	38422
Black	118
Asian	202
Native	53
Hispanic/Latino	768
Bachelor's or higher	17373

Districts

ME-01 — 41% (congressional)
ME Senate District 12 — 31% (state senate)
ME Senate District 13 — 3% (state senate)
ME Senate District 7 — 1% (state senate)
ME House District 44 — 9% (state house)
ME House District 43 — 7% (state house)
ME House District 45 — 5% (state house)
ME House District 15 — 4% (state house)
ME House District 41 — 4% (state house)
ME House District 42 — 3% (state house)
ME House District 40 — 3% (state house)

Source

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

3.2 KiB Raw Blame History Unescape Escape

Knox County, ME

Demographics (ACS 2023)

Districts

Source

3.2 KiB

Raw Blame History