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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2026-07-03 23:35:00 -04:00
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---
type: Jurisdiction
title: "MT-01"
classification: congressional-district
state: "MT"
district: "MT-01"
demographics:
population: 579075
population_under_18: 124007
population_18_64: 196426
population_65_plus: 258642
median_household_income: 77017
poverty_rate: 10.16
homeownership_rate: 66.5
unemployment_rate: 2.53
median_home_value: 539300
gini_index: 0.4675
vacancy_rate: 13.88
race_white: 500915
race_black: 1009
race_asian: 5852
hispanic: 27593
bachelors_plus: 168028
sources:
- field: demographics
source: Census ACS 2023
confidence: official
tags: [jurisdiction, congressional-district, mt]
timestamp: "2026-07-03"
---
# MT-01
Congressional district MT-01.
## Demographics (ACS 2023)
| Measure | Value |
| --- | --- |
| Population | 579075 |
| Under 18 | 124007 |
| 1864 | 196426 |
| 65+ | 258642 |
| Median household income | 77017 |
| Poverty rate | 10.16 |
| Homeownership rate | 66.5 |
| Unemployment rate | 2.53 |
| Median home value | 539300 |
| Gini index | 0.4675 |
| Vacancy rate | 13.88 |
| White | 500915 |
| Black | 1009 |
| Asian | 5852 |
| Hispanic/Latino | 27593 |
| Bachelor's or higher | 168028 |
## Source
- demographics: Census ACS 2023
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---
type: Jurisdiction
title: "MT-02"
classification: congressional-district
state: "MT"
district: "MT-02"
demographics:
population: 558158
population_under_18: 135661
population_18_64: 171137
population_65_plus: 251360
median_household_income: 73599
poverty_rate: 10.29
homeownership_rate: 70.8
unemployment_rate: 3.43
median_home_value: 349600
gini_index: 0.4471
vacancy_rate: 12.25
race_white: 461493
race_black: 2506
race_asian: 3553
hispanic: 27913
bachelors_plus: 124016
sources:
- field: demographics
source: Census ACS 2023
confidence: official
tags: [jurisdiction, congressional-district, mt]
timestamp: "2026-07-03"
---
# MT-02
Congressional district MT-02.
## Demographics (ACS 2023)
| Measure | Value |
| --- | --- |
| Population | 558158 |
| Under 18 | 135661 |
| 1864 | 171137 |
| 65+ | 251360 |
| Median household income | 73599 |
| Poverty rate | 10.29 |
| Homeownership rate | 70.8 |
| Unemployment rate | 3.43 |
| Median home value | 349600 |
| Gini index | 0.4471 |
| Vacancy rate | 12.25 |
| White | 461493 |
| Black | 2506 |
| Asian | 3553 |
| Hispanic/Latino | 27913 |
| Bachelor's or higher | 124016 |
## Source
- demographics: Census ACS 2023