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>
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---
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type: Jurisdiction
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title: "CA-16"
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classification: congressional-district
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state: "CA"
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district: "CA-16"
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demographics:
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population: 751938
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population_under_18: 171202
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population_18_64: 250451
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population_65_plus: 330285
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median_household_income: 181659
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poverty_rate: 6.61
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homeownership_rate: 60.2
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unemployment_rate: 4.37
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median_home_value: 1956300
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gini_index: 0.5048
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vacancy_rate: 7.27
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race_white: 316035
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race_black: 10814
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race_asian: 251073
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hispanic: 148658
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bachelors_plus: 347827
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sources:
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- field: demographics
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source: Census ACS 2023
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confidence: official
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tags: [jurisdiction, congressional-district, ca]
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timestamp: "2026-07-03"
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---
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# CA-16
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Congressional district CA-16.
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## Demographics (ACS 2023)
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| Measure | Value |
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| --- | --- |
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| Population | 751938 |
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| Under 18 | 171202 |
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| 18–64 | 250451 |
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| 65+ | 330285 |
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| Median household income | 181659 |
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| Poverty rate | 6.61 |
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| Homeownership rate | 60.2 |
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| Unemployment rate | 4.37 |
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| Median home value | 1956300 |
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| Gini index | 0.5048 |
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| Vacancy rate | 7.27 |
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| White | 316035 |
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| Black | 10814 |
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| Asian | 251073 |
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| Hispanic/Latino | 148658 |
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| Bachelor's or higher | 347827 |
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## Source
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- demographics: Census ACS 2023
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