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>
This commit is contained in:
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---
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type: Jurisdiction
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title: "MT-01"
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classification: congressional-district
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state: "MT"
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district: "MT-01"
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demographics:
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population: 579075
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population_under_18: 124007
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population_18_64: 196426
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population_65_plus: 258642
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median_household_income: 77017
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poverty_rate: 10.16
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homeownership_rate: 66.5
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unemployment_rate: 2.53
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median_home_value: 539300
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gini_index: 0.4675
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vacancy_rate: 13.88
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race_white: 500915
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race_black: 1009
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race_asian: 5852
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hispanic: 27593
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bachelors_plus: 168028
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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, mt]
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timestamp: "2026-07-03"
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---
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# MT-01
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Congressional district MT-01.
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## Demographics (ACS 2023)
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| Measure | Value |
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| --- | --- |
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| Population | 579075 |
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| Under 18 | 124007 |
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| 18–64 | 196426 |
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| 65+ | 258642 |
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| Median household income | 77017 |
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| Poverty rate | 10.16 |
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| Homeownership rate | 66.5 |
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| Unemployment rate | 2.53 |
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| Median home value | 539300 |
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| Gini index | 0.4675 |
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| Vacancy rate | 13.88 |
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| White | 500915 |
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| Black | 1009 |
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| Asian | 5852 |
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| Hispanic/Latino | 27593 |
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| Bachelor's or higher | 168028 |
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## Source
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- demographics: Census ACS 2023
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---
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type: Jurisdiction
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title: "MT-02"
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classification: congressional-district
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state: "MT"
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district: "MT-02"
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demographics:
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population: 558158
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population_under_18: 135661
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population_18_64: 171137
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population_65_plus: 251360
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median_household_income: 73599
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poverty_rate: 10.29
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homeownership_rate: 70.8
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unemployment_rate: 3.43
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median_home_value: 349600
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gini_index: 0.4471
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vacancy_rate: 12.25
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race_white: 461493
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race_black: 2506
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race_asian: 3553
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hispanic: 27913
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bachelors_plus: 124016
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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, mt]
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timestamp: "2026-07-03"
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---
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# MT-02
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Congressional district MT-02.
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## Demographics (ACS 2023)
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| Measure | Value |
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| --- | --- |
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| Population | 558158 |
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| Under 18 | 135661 |
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| 18–64 | 171137 |
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| 65+ | 251360 |
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| Median household income | 73599 |
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| Poverty rate | 10.29 |
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| Homeownership rate | 70.8 |
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| Unemployment rate | 3.43 |
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| Median home value | 349600 |
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| Gini index | 0.4471 |
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| Vacancy rate | 12.25 |
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| White | 461493 |
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| Black | 2506 |
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| Asian | 3553 |
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| Hispanic/Latino | 27913 |
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| Bachelor's or higher | 124016 |
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## Source
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- demographics: Census ACS 2023
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