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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

Pender County, NC

County jurisdiction.

Demographics (ACS 2023)

Measure	Value
Population	65550
Under 18	14710
18–64	38908
65+	11932
Median household income	80396
Poverty rate	9.73
Homeownership rate	82.7
Unemployment rate	4.82
Median home value	299000
Gini index	0.4317
Vacancy rate	20.58
White	49242
Black	7951
Asian	537
Native	193
Hispanic/Latino	5787
Bachelor's or higher	18869

Source

demographics: Census ACS 2023

1.2 KiB Raw Blame History Unescape Escape

Pender County, NC

Demographics (ACS 2023)

Source

1.2 KiB

Raw Blame History