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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

3.1 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

Virginia Beach city, VA

county

51810

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
456349	99859	283975	72515	92968	8.59	65.15	3.96	382500	0.4361	5.98	277439	85740	33022	1042	41512	179504

to	rel	area_weight
us/states/va/districts/02	in-district	0.6153

to	rel	area_weight
us/states/va/districts/senate/19	in-district	0.4076

to	rel	area_weight
us/states/va/districts/senate/20	in-district	0.1243

to	rel	area_weight
us/states/va/districts/senate/22	in-district	0.0844

to	rel	area_weight
us/states/va/districts/house/98	in-district	0.3985

to	rel	area_weight
us/states/va/districts/house/99	in-district	0.0809

to	rel	area_weight
us/states/va/districts/house/97	in-district	0.0395

to	rel	area_weight
us/states/va/districts/house/100	in-district	0.0347

to	rel	area_weight
us/states/va/districts/house/95	in-district	0.0314

to	rel	area_weight
us/states/va/districts/house/96	in-district	0.031

field	source
demographics	Census ACS 2023

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

official

jurisdiction

county

2026-07-03

Virginia Beach city, VA

County jurisdiction.

Demographics (ACS 2023)

Measure	Value
Population	456349
Under 18	99859
18–64	283975
65+	72515
Median household income	92968
Poverty rate	8.59
Homeownership rate	65.15
Unemployment rate	3.96
Median home value	382500
Gini index	0.4361
Vacancy rate	5.98
White	277439
Black	85740
Asian	33022
Native	1042
Hispanic/Latino	41512
Bachelor's or higher	179504

Districts

VA-02 — 62% (congressional)
VA Senate District 19 — 41% (state senate)
VA Senate District 20 — 12% (state senate)
VA Senate District 22 — 8% (state senate)
VA House District 98 — 40% (state house)
VA House District 99 — 8% (state house)
VA House District 97 — 4% (state house)
VA House District 100 — 3% (state house)
VA House District 95 — 3% (state house)
VA House District 96 — 3% (state house)

Source

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

3.1 KiB Raw Blame History Unescape Escape

Virginia Beach city, VA

Demographics (ACS 2023)

Districts

Source

3.1 KiB

Raw Blame History