5b0712c31f
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>
60 lines
1.2 KiB
Markdown
60 lines
1.2 KiB
Markdown
---
|
||
type: Jurisdiction
|
||
title: "CA-49"
|
||
classification: congressional-district
|
||
state: "CA"
|
||
district: "CA-49"
|
||
demographics:
|
||
population: 748243
|
||
population_under_18: 167297
|
||
population_18_64: 234761
|
||
population_65_plus: 346185
|
||
median_household_income: 121511
|
||
poverty_rate: 7.05
|
||
homeownership_rate: 64.27
|
||
unemployment_rate: 3.85
|
||
median_home_value: 1133300
|
||
gini_index: 0.4725
|
||
vacancy_rate: 8.04
|
||
race_white: 457904
|
||
race_black: 17339
|
||
race_asian: 43639
|
||
hispanic: 200215
|
||
bachelors_plus: 271973
|
||
sources:
|
||
- field: demographics
|
||
source: Census ACS 2023
|
||
confidence: official
|
||
tags: [jurisdiction, congressional-district, ca]
|
||
timestamp: "2026-07-03"
|
||
---
|
||
|
||
# CA-49
|
||
|
||
Congressional district CA-49.
|
||
|
||
## Demographics (ACS 2023)
|
||
|
||
| Measure | Value |
|
||
| --- | --- |
|
||
| Population | 748243 |
|
||
| Under 18 | 167297 |
|
||
| 18–64 | 234761 |
|
||
| 65+ | 346185 |
|
||
| Median household income | 121511 |
|
||
| Poverty rate | 7.05 |
|
||
| Homeownership rate | 64.27 |
|
||
| Unemployment rate | 3.85 |
|
||
| Median home value | 1133300 |
|
||
| Gini index | 0.4725 |
|
||
| Vacancy rate | 8.04 |
|
||
| White | 457904 |
|
||
| Black | 17339 |
|
||
| Asian | 43639 |
|
||
| Hispanic/Latino | 200215 |
|
||
| Bachelor's or higher | 271973 |
|
||
|
||
## Source
|
||
|
||
- demographics: Census ACS 2023
|