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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

5.1 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

Mecklenburg County, NC

county

37119

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
1154681	263733	753043	137905	87005	10.36	55.12	4.34	406800	0.4921	7.26	518746	346988	73448	5349	184569	526518

to	rel	area_weight
us/states/nc/districts/12	in-district	0.5022

to	rel	area_weight
us/states/nc/districts/14	in-district	0.3608

to	rel	area_weight
us/states/nc/districts/08	in-district	0.1364

to	rel	area_weight
us/states/nc/districts/senate/38	in-district	0.2475

to	rel	area_weight
us/states/nc/districts/senate/39	in-district	0.208

to	rel	area_weight
us/states/nc/districts/senate/42	in-district	0.1933

to	rel	area_weight
us/states/nc/districts/senate/41	in-district	0.1625

to	rel	area_weight
us/states/nc/districts/senate/40	in-district	0.1351

to	rel	area_weight
us/states/nc/districts/senate/37	in-district	0.0532

to	rel	area_weight
us/states/nc/districts/house/92	in-district	0.1314

to	rel	area_weight
us/states/nc/districts/house/101	in-district	0.127

to	rel	area_weight
us/states/nc/districts/house/98	in-district	0.1227

to	rel	area_weight
us/states/nc/districts/house/105	in-district	0.111

to	rel	area_weight
us/states/nc/districts/house/106	in-district	0.0739

to	rel	area_weight
us/states/nc/districts/house/107	in-district	0.0687

to	rel	area_weight
us/states/nc/districts/house/112	in-district	0.0652

to	rel	area_weight
us/states/nc/districts/house/103	in-district	0.0593

to	rel	area_weight
us/states/nc/districts/house/99	in-district	0.0525

to	rel	area_weight
us/states/nc/districts/house/100	in-district	0.0521

to	rel	area_weight
us/states/nc/districts/house/104	in-district	0.0499

to	rel	area_weight
us/states/nc/districts/house/88	in-district	0.0481

to	rel	area_weight
us/states/nc/districts/house/102	in-district	0.0377

field	source
demographics	Census ACS 2023

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

official

jurisdiction

county

2026-07-03

Mecklenburg County, NC

County jurisdiction — 3 officeholders mapped.

Demographics (ACS 2023)

Measure	Value
Population	1154681
Under 18	263733
18–64	753043
65+	137905
Median household income	87005
Poverty rate	10.36
Homeownership rate	55.12
Unemployment rate	4.34
Median home value	406800
Gini index	0.4921
Vacancy rate	7.26
White	518746
Black	346988
Asian	73448
Native	5349
Hispanic/Latino	184569
Bachelor's or higher	526518

Districts

NC-12 — 50% (congressional)
NC-14 — 36% (congressional)
NC-08 — 14% (congressional)
NC Senate District 38 — 25% (state senate)
NC Senate District 39 — 21% (state senate)
NC Senate District 42 — 19% (state senate)
NC Senate District 41 — 16% (state senate)
NC Senate District 40 — 14% (state senate)
NC Senate District 37 — 5% (state senate)
NC House District 92 — 13% (state house)
NC House District 101 — 13% (state house)
NC House District 98 — 12% (state house)
NC House District 105 — 11% (state house)
NC House District 106 — 7% (state house)
NC House District 107 — 7% (state house)
NC House District 112 — 7% (state house)
NC House District 103 — 6% (state house)
NC House District 99 — 5% (state house)
NC House District 100 — 5% (state house)
NC House District 104 — 5% (state house)
NC House District 88 — 5% (state house)
NC House District 102 — 4% (state house)

Source

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

5.1 KiB Raw Blame History Unescape Escape

Mecklenburg County, NC

Demographics (ACS 2023)

Districts

Source

5.1 KiB

Raw Blame History