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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

Greenlee County, AZ

County jurisdiction.

Demographics (ACS 2023)

Measure	Value
Population	9409
Under 18	2396
18–64	5684
65+	1329
Median household income	71164
Poverty rate	8.19
Homeownership rate	53.02
Unemployment rate	2.33
Median home value	158600
Gini index	0.4016
Vacancy rate	18.99
White	5409
Black	134
Asian	134
Native	196
Hispanic/Latino	4396
Bachelor's or higher	1802

Source

demographics: Census ACS 2023

1.2 KiB Raw Blame History Unescape Escape

Greenlee County, AZ

Demographics (ACS 2023)

Source

1.2 KiB

Raw Blame History