Files
republic-os/data/jurisdictions/us/states/sc/counties/spartanburg/index.md
T
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

4.2 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 Spartanburg County, SC county 45083 SC
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
347852 81285 209892 56675 66234 14.5 72.98 4.33 233300 0.4492 8.67 231820 67447 8385 660 32322 81731
to rel area_weight
us/states/sc/districts/04 in-district 0.7879
to rel area_weight
us/states/sc/districts/05 in-district 0.2097
to rel area_weight
us/states/sc/districts/senate/13 in-district 0.4448
to rel area_weight
us/states/sc/districts/senate/11 in-district 0.2191
to rel area_weight
us/states/sc/districts/senate/12 in-district 0.1587
to rel area_weight
us/states/sc/districts/senate/5 in-district 0.0968
to rel area_weight
us/states/sc/districts/senate/14 in-district 0.0804
to rel area_weight
us/states/sc/districts/house/33 in-district 0.3038
to rel area_weight
us/states/sc/districts/house/38 in-district 0.2023
to rel area_weight
us/states/sc/districts/house/35 in-district 0.1105
to rel area_weight
us/states/sc/districts/house/36 in-district 0.0879
to rel area_weight
us/states/sc/districts/house/32 in-district 0.0778
to rel area_weight
us/states/sc/districts/house/34 in-district 0.0755
to rel area_weight
us/states/sc/districts/house/37 in-district 0.0471
to rel area_weight
us/states/sc/districts/house/30 in-district 0.0359
to rel area_weight
us/states/sc/districts/house/31 in-district 0.0299
to rel area_weight
us/states/sc/districts/house/29 in-district 0.029
field source
demographics Census ACS 2023
field source
districts PostGIS area-intersection over Census TIGER 2024 boundaries
official
jurisdiction
county
sc
2026-07-03

Spartanburg County, SC

County jurisdiction — 1 officeholders mapped.

Demographics (ACS 2023)

Measure Value
Population 347852
Under 18 81285
1864 209892
65+ 56675
Median household income 66234
Poverty rate 14.5
Homeownership rate 72.98
Unemployment rate 4.33
Median home value 233300
Gini index 0.4492
Vacancy rate 8.67
White 231820
Black 67447
Asian 8385
Native 660
Hispanic/Latino 32322
Bachelor's or higher 81731

Districts

Source

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