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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, state, district, demographics, sources, confidence, tags, timestamp

type

title

classification

state

district

demographics

sources

confidence

KY-04

Congressional district KY-04.

Demographics (ACS 2023)

Measure	Value
Population	776082
Under 18	196316
18–64	244685
65+	335081
Median household income	81874
Poverty rate	11.67
Homeownership rate	76.37
Unemployment rate	4.47
Median home value	280600
Gini index	0.4594
Vacancy rate	6.7
White	676142
Black	17788
Asian	10305
Hispanic/Latino	37068
Bachelor's or higher	169584

Source

demographics: Census ACS 2023

1.2 KiB Raw Blame History Unescape Escape

KY-04

Demographics (ACS 2023)

Source

1.2 KiB

Raw Blame History