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>

data/jurisdictions/us/states/wv/districts/01.md

@@ -0,0 +1,59 @@
+---
+type: Jurisdiction
+title: "WV-01"
+classification: congressional-district
+state: "WV"
+district: "WV-01"
+demographics:
+  population: 861893
+  population_under_18: 191603
+  population_18_64: 248596
+  population_65_plus: 421694
+  median_household_income: 56624
+  poverty_rate: 17.67
+  homeownership_rate: 76.0
+  unemployment_rate: 4.57
+  median_home_value: 145100
+  gini_index: 0.4716
+  vacancy_rate: 17.4
+  race_white: 777031
+  race_black: 30214
+  race_asian: 4046
+  hispanic: 11288
+  bachelors_plus: 138163
+sources:
+  - field: demographics
+    source: Census ACS 2023
+confidence: official
+tags: [jurisdiction, congressional-district, wv]
+timestamp: "2026-07-03"
+---
+
+# WV-01
+
+Congressional district WV-01.
+
+## Demographics (ACS 2023)
+
+| Measure | Value |
+| --- | --- |
+| Population | 861893 |
+| Under 18 | 191603 |
+| 18–64 | 248596 |
+| 65+ | 421694 |
+| Median household income | 56624 |
+| Poverty rate | 17.67 |
+| Homeownership rate | 76.0 |
+| Unemployment rate | 4.57 |
+| Median home value | 145100 |
+| Gini index | 0.4716 |
+| Vacancy rate | 17.4 |
+| White | 777031 |
+| Black | 30214 |
+| Asian | 4046 |
+| Hispanic/Latino | 11288 |
+| Bachelor's or higher | 138163 |
+
+## Source
+
+- demographics: Census ACS 2023

data/jurisdictions/us/states/wv/districts/02.md

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+---
+type: Jurisdiction
+title: "WV-02"
+classification: congressional-district
+state: "WV"
+district: "WV-02"
+demographics:
+  population: 908086
+  population_under_18: 201172
+  population_18_64: 288999
+  population_65_plus: 417915
+  median_household_income: 64861
+  poverty_rate: 15.85
+  homeownership_rate: 75.05
+  unemployment_rate: 4.69
+  median_home_value: 206500
+  gini_index: 0.4603
+  vacancy_rate: 11.53
+  race_white: 805247
+  race_black: 26735
+  race_asian: 8455
+  hispanic: 29714
+  bachelors_plus: 171118
+sources:
+  - field: demographics
+    source: Census ACS 2023
+confidence: official
+tags: [jurisdiction, congressional-district, wv]
+timestamp: "2026-07-03"
+---
+
+# WV-02
+
+Congressional district WV-02.
+
+## Demographics (ACS 2023)
+
+| Measure | Value |
+| --- | --- |
+| Population | 908086 |
+| Under 18 | 201172 |
+| 18–64 | 288999 |
+| 65+ | 417915 |
+| Median household income | 64861 |
+| Poverty rate | 15.85 |
+| Homeownership rate | 75.05 |
+| Unemployment rate | 4.69 |
+| Median home value | 206500 |
+| Gini index | 0.4603 |
+| Vacancy rate | 11.53 |
+| White | 805247 |
+| Black | 26735 |
+| Asian | 8455 |
+| Hispanic/Latino | 29714 |
+| Bachelor's or higher | 171118 |
+
+## Source
+
+- demographics: Census ACS 2023