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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

3.4 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

Baltimore city, MD

county

24510

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
573243	119618	366023	87602	62177	19.75	47.51	6.54	229600	0.508	13.34	154160	339623	14895	2411	47018	217729

to	rel	area_weight
us/states/md/districts/07	in-district	0.8716

to	rel	area_weight
us/states/md/districts/02	in-district	0.0663

to	rel	area_weight
us/states/md/districts/senate/46	in-district	0.2872

to	rel	area_weight
us/states/md/districts/senate/41	in-district	0.2262

to	rel	area_weight
us/states/md/districts/senate/45	in-district	0.1765

to	rel	area_weight
us/states/md/districts/senate/40	in-district	0.1558

to	rel	area_weight
us/states/md/districts/senate/43	in-district	0.0928

to	rel	area_weight
us/states/md/districts/house/46	in-district	0.2872

to	rel	area_weight
us/states/md/districts/house/41	in-district	0.2262

to	rel	area_weight
us/states/md/districts/house/45	in-district	0.1765

to	rel	area_weight
us/states/md/districts/house/40	in-district	0.1558

to	rel	area_weight
us/states/md/districts/house/43a	in-district	0.0928

field	source
demographics	Census ACS 2023

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

official

jurisdiction

county

2026-07-03

Baltimore city, MD

County jurisdiction.

Demographics (ACS 2023)

Measure	Value
Population	573243
Under 18	119618
18–64	366023
65+	87602
Median household income	62177
Poverty rate	19.75
Homeownership rate	47.51
Unemployment rate	6.54
Median home value	229600
Gini index	0.508
Vacancy rate	13.34
White	154160
Black	339623
Asian	14895
Native	2411
Hispanic/Latino	47018
Bachelor's or higher	217729

Districts

MD-07 — 87% (congressional)
MD-02 — 7% (congressional)
MD Senate District 46 — 29% (state senate)
MD Senate District 41 — 23% (state senate)
MD Senate District 45 — 18% (state senate)
MD Senate District 40 — 16% (state senate)
MD Senate District 43 — 9% (state senate)
MD House District 46 — 29% (state house)
MD House District 41 — 23% (state house)
MD House District 45 — 18% (state house)
MD House District 40 — 16% (state house)
MD House District 43A — 9% (state house)

Source

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

3.4 KiB Raw Blame History Unescape Escape

Baltimore city, MD

Demographics (ACS 2023)

Districts

Source

3.4 KiB

Raw Blame History