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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

Grant County, WA

County jurisdiction.

Demographics (ACS 2023)

Measure	Value
Population	101799
Under 18	28798
18–64	58179
65+	14822
Median household income	73267
Poverty rate	15.85
Homeownership rate	66.28
Unemployment rate	6.51
Median home value	299500
Gini index	0.4421
Vacancy rate	11.98
White	56828
Black	1345
Asian	1066
Native	1589
Hispanic/Latino	44645
Bachelor's or higher	15153

Source

demographics: Census ACS 2023

1.2 KiB Raw Blame History Unescape Escape

Grant County, WA

Demographics (ACS 2023)

Source

1.2 KiB

Raw Blame History