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-09"
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classification: congressional-district
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state: "CA"
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district: "CA-09"
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demographics:
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population: 784710
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population_under_18: 217780
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population_18_64: 270483
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population_65_plus: 296447
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median_household_income: 92036
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poverty_rate: 13.09
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homeownership_rate: 61.64
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unemployment_rate: 8.02
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median_home_value: 561200
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gini_index: 0.4306
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vacancy_rate: 5.4
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race_white: 248109
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race_black: 53781
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race_asian: 149707
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hispanic: 334569
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bachelors_plus: 128955
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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-09
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Congressional district CA-09.
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## Demographics (ACS 2023)
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| Measure | Value |
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| --- | --- |
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| Population | 784710 |
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| Under 18 | 217780 |
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| 18–64 | 270483 |
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| 65+ | 296447 |
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| Median household income | 92036 |
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| Poverty rate | 13.09 |
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| Homeownership rate | 61.64 |
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| Unemployment rate | 8.02 |
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| Median home value | 561200 |
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| Gini index | 0.4306 |
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| Vacancy rate | 5.4 |
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| White | 248109 |
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| Black | 53781 |
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| Asian | 149707 |
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| Hispanic/Latino | 334569 |
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| Bachelor's or higher | 128955 |
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## Source
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- demographics: Census ACS 2023
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