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-33"
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classification: congressional-district
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state: "CA"
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district: "CA-33"
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demographics:
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population: 783103
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population_under_18: 229970
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population_18_64: 287750
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population_65_plus: 265383
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median_household_income: 90288
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poverty_rate: 14.62
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homeownership_rate: 61.37
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unemployment_rate: 4.71
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median_home_value: 556700
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gini_index: 0.4408
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vacancy_rate: 3.39
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race_white: 189069
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race_black: 68534
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race_asian: 54621
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hispanic: 502410
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bachelors_plus: 105611
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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-33
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Congressional district CA-33.
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## Demographics (ACS 2023)
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| Measure | Value |
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| --- | --- |
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| Population | 783103 |
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| Under 18 | 229970 |
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| 18–64 | 287750 |
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| 65+ | 265383 |
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| Median household income | 90288 |
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| Poverty rate | 14.62 |
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| Homeownership rate | 61.37 |
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| Unemployment rate | 4.71 |
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| Median home value | 556700 |
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| Gini index | 0.4408 |
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| Vacancy rate | 3.39 |
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| White | 189069 |
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| Black | 68534 |
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| Asian | 54621 |
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| Hispanic/Latino | 502410 |
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| Bachelor's or higher | 105611 |
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## Source
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- demographics: Census ACS 2023
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