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Fabio 5b0712c31f Add elections + demographics layer: candidates and jurisdictions

Two new entity types, built deterministically from the raw exports:

  Candidate (2,494)     — 2026 federal candidates as files under
                          us/states/<st>/candidates/, with office,
                          district, party, incumbent/challenger stance,
                          campaign committee, FEC id.

  Jurisdiction (3,494)  — demographic nodes carrying ACS 2023 data:
                          3,131 counties (deduped from 3,231 mixed-format
                          fips keys) + 363 congressional districts.

This completes the county skeleton nationwide: every US county is now a
browsable node with population, income, poverty, race, education and
housing — even where no officeholders are mapped yet. In Florida the
county index.md merges into the existing dir and reports its officeholder
count alongside demographics (St. Lucie: 33 officeholders + ACS profile).

build.py now reads seven raw inputs in one deterministic pass
(byte-identical on rerun). The mirror now answers: who holds power, who
runs this institution, who is running, and what each place is made of.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

2026-07-03 23:35:00 -04:00

1.2 KiB

Raw Blame History

type, title, classification, fips, state, demographics, sources, confidence, tags, timestamp

type

title

classification

fips

state

demographics

sources

confidence

Charleston County, SC

County jurisdiction.

Demographics (ACS 2023)

Measure	Value
Population	420264
Under 18	81885
18–64	263351
65+	75028
Median household income	88494
Poverty rate	11.32
Homeownership rate	63.89
Unemployment rate	3.45
Median home value	489100
Gini index	0.5114
Vacancy rate	14.69
White	276973
Black	96255
Asian	7521
Native	1909
Hispanic/Latino	30143
Bachelor's or higher	213030

Source

demographics: Census ACS 2023

1.2 KiB Raw Blame History Unescape Escape

Charleston County, SC

Demographics (ACS 2023)

Source

1.2 KiB

Raw Blame History