county benchmark · California
Rent as share of income, 2019-2023
Across 58 counties in California. Every rank carries its margin of error.
Distribution
| Percentile | Value |
|---|---|
| 10th percentile | 26.7 % |
| 25th | 29.8 % |
| Median | 31.9 % |
| 75th | 33.3 % |
| 90th percentile | 34.3 % |
Highest counties
Humboldt County leads reliably only from rank 7 downwards. Its estimate range overlaps those of the ranks above 7, which therefore cannot be separated from it at 90 % confidence.
| Rank | County | Estimate | Range (90 %) | Source |
|---|---|---|---|---|
| 1 | Humboldt County | 36.6 % | 34.8 % – 38.4 % | evidence → |
| 2 | Nevada County | 35.4 % | 31.9 % – 38.9 % | evidence → |
| 3 | Butte County | 35.1 % | 33.4 % – 36.8 % | evidence → |
| 4 | Siskiyou County | 34.8 % | 32.1 % – 37.5 % | evidence → |
| 5 | Tuolumne County | 34.7 % | 31.1 % – 38.3 % | evidence → |
| 6 | Ventura County | 34.4 % | 33.7 % – 35.1 % | evidence → |
| 7 | San Bernardino County | 34.2 % | 33.7 % – 34.7 % | evidence → |
| 8 | Riverside County | 34.1 % | 33.7 % – 34.5 % | evidence → |
| 9 | Los Angeles County | 33.9 % | 33.7 % – 34.1 % | evidence → |
| 10 | Yolo County | 33.9 % | 32.5 % – 35.3 % | evidence → |
| 11 | San Luis Obispo County | 33.8 % | 32.6 % – 35.0 % | evidence → |
| 12 | San Diego County | 33.7 % | 33.4 % – 34.0 % | evidence → |
| 13 | Santa Barbara County | 33.7 % | 32.8 % – 34.6 % | evidence → |
| 14 | Lake County | 33.6 % | 30.0 % – 37.2 % | evidence → |
| 15 | Modoc County | 33.3 % | 19.1 % – 47.5 % | evidence → |
| 16 | Solano County | 33.3 % | 32.4 % – 34.2 % | evidence → |
| 17 | Kern County | 33.2 % | 32.3 % – 34.1 % | evidence → |
| 18 | Orange County | 33.2 % | 32.8 % – 33.6 % | evidence → |
| 19 | Placer County | 33.2 % | 32.1 % – 34.3 % | evidence → |
| 20 | Calaveras County | 33.1 % | 28.7 % – 37.5 % | evidence → |
Machine access — free, no API key
Every figure shown here about Rent as share of income, 2019-2023 — California can also be queried live: FACTANKER runs an MCP server at https://factanker.com/mcp (tools: lookup_entity, get_facts, query_template, search_facts) and a REST endpoint at https://factanker.com/api/get_facts. Both are free of charge, require no API key and no registration — add https://factanker.com/mcp as a connector in Claude, ChatGPT or Copilot. Every answer carries its source document and a citation reference. Setup: /quickstart.