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:
@@ -0,0 +1,61 @@
|
||||
---
|
||||
type: Jurisdiction
|
||||
title: "Tazewell County, VA"
|
||||
classification: county
|
||||
fips: "51185"
|
||||
state: "VA"
|
||||
demographics:
|
||||
population: 39624
|
||||
population_under_18: 8764
|
||||
population_18_64: 11045
|
||||
population_65_plus: 19815
|
||||
median_household_income: 47313
|
||||
poverty_rate: 18.52
|
||||
homeownership_rate: 74.42
|
||||
unemployment_rate: 3.83
|
||||
median_home_value: 118300
|
||||
gini_index: 0.4733
|
||||
vacancy_rate: 17.59
|
||||
race_white: 36879
|
||||
race_black: 1268
|
||||
race_asian: 244
|
||||
race_native: 14
|
||||
hispanic: 535
|
||||
bachelors_plus: 6415
|
||||
sources:
|
||||
- field: demographics
|
||||
source: Census ACS 2023
|
||||
confidence: official
|
||||
tags: [jurisdiction, county, va]
|
||||
timestamp: "2026-07-03"
|
||||
---
|
||||
|
||||
# Tazewell County, VA
|
||||
|
||||
County jurisdiction.
|
||||
|
||||
## Demographics (ACS 2023)
|
||||
|
||||
| Measure | Value |
|
||||
| --- | --- |
|
||||
| Population | 39624 |
|
||||
| Under 18 | 8764 |
|
||||
| 18–64 | 11045 |
|
||||
| 65+ | 19815 |
|
||||
| Median household income | 47313 |
|
||||
| Poverty rate | 18.52 |
|
||||
| Homeownership rate | 74.42 |
|
||||
| Unemployment rate | 3.83 |
|
||||
| Median home value | 118300 |
|
||||
| Gini index | 0.4733 |
|
||||
| Vacancy rate | 17.59 |
|
||||
| White | 36879 |
|
||||
| Black | 1268 |
|
||||
| Asian | 244 |
|
||||
| Native | 14 |
|
||||
| Hispanic/Latino | 535 |
|
||||
| Bachelor's or higher | 6415 |
|
||||
|
||||
## Source
|
||||
|
||||
- demographics: Census ACS 2023
|
||||
Reference in New Issue
Block a user