PantryPath Research · Rural & Persistent Poverty Atlas
Rural poverty in California
2 persistent-poverty countiesCalifornia has 2 persistent-poverty counties and 21 nonmetro counties — home to 1,191,471 residents living in counties with 30+ years of 20%-or-higher poverty. The state's all-ages poverty rate is 12.0% and child poverty is 15.1%.
2
Persistent-poverty counties
21
Nonmetro counties (RUCC 4–9)
1.2M
Residents in PPCs
58
Total counties
California by county
← Back to national atlasToggle between the rural hunger risk score, all-ages poverty, child poverty, the Rural-Urban Continuum Code, and the binary persistent-poverty flag. Hover a county for its ERS typology and ACS poverty rate.
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California at a glance
Poverty rate
12.0%
All ages, ACS S1701
Child poverty
15.1%
Under 18
PPC share
3.5%
Of counties in state
Nonmetro share
36.2%
RUCC 4–9
Pantries / 100K
1.53
PantryPath verified
Risk score (mean)
0.15
Composite 0–1
"Pantries / 100K" divides California's 602 verified PantryPath pantries by the state population — a minimum-density indicator, not a saturated census. See methodology.
County-level hotspots
Top five counties across 58 in California.
Highest rural hunger risk
Composite 0–1 score
- 1 Imperial 0.45
- 2 Fresno 0.37
- 3 Modoc 0.34
- 4 Plumas 0.34
- 5 Trinity 0.33
Highest poverty rate
ACS all-ages
- 1 Modoc 20.3%
- 2 Madera 19.9%
- 3 Imperial 19.6%
- 4 Kern 19.0%
- 5 Humboldt 18.9%
Persistent-poverty counties
PPCs ranked by current poverty
- 1 Imperial 19.6%
- 2 Fresno 18.7%
Every county in California
All 58 counties with RUCC, typology flags, and ACS poverty data.
| County | RUCC | PPC | Flags | Poverty | Child poverty | Population | Risk |
|---|---|---|---|---|---|---|---|
| Alameda | 1 | — | Housing | 9.2% | 9.1% | 1,651,949 | 0.04 |
| Alpine | 8 | — | — | 12.3% | 15.4% | 1,695 | 0.31 |
| Amador | 6 | — | Housing | 7.8% | 4.3% | 41,029 | 0.22 |
| Butte | 3 | — | Housing | 18.3% | 19.2% | 209,470 | 0.15 |
| Calaveras | 6 | — | Housing | 13.4% | 17.4% | 45,995 | 0.24 |
| Colusa | 6 | — | Housing | 10.8% | 13.5% | 21,895 | 0.23 |
| Contra Costa | 1 | — | Housing | 8.3% | 10.0% | 1,161,458 | 0.03 |
| Del Norte | 7 | — | Low emp., Housing | 11.6% | 13.4% | 27,293 | 0.27 |
| El Dorado | 1 | — | Housing | 8.3% | 9.1% | 192,299 | 0.03 |
| Fresno | 1 | Yes | Housing | 18.7% | 25.5% | 1,012,152 | 0.37 |
| Glenn | 6 | — | Housing | 12.4% | 15.2% | 28,623 | 0.24 |
| Humboldt | 5 | — | Housing | 18.9% | 18.2% | 135,418 | 0.23 |
| Imperial | 3 | Yes | Low emp., Housing | 19.6% | 25.4% | 179,319 | 0.45 |
| Inyo | 6 | — | Housing | 10.5% | 9.6% | 18,803 | 0.23 |
| Kern | 2 | — | Housing | 19.0% | 25.8% | 910,433 | 0.11 |
| Kings | 3 | — | Low emp., Housing | 16.8% | 23.6% | 152,830 | 0.14 |
| Lake | 4 | — | Housing | 16.7% | 20.1% | 68,139 | 0.18 |
| Lassen | 7 | — | Low emp., Housing | 13.7% | 15.7% | 31,177 | 0.28 |
| Los Angeles | 1 | — | Housing | 13.6% | 17.7% | 9,848,406 | 0.05 |
| Madera | 1 | — | Housing | 19.9% | 27.7% | 158,790 | 0.08 |
| Marin | 1 | — | Housing | 7.8% | 8.9% | 258,765 | 0.03 |
| Mariposa | 8 | — | Housing | 13.9% | 18.3% | 17,060 | 0.32 |
| Mendocino | 4 | — | Housing | 15.2% | 17.4% | 90,709 | 0.17 |
| Merced | 2 | — | Housing | 18.4% | 25.0% | 285,597 | 0.11 |
| Modoc | 8 | — | — | 20.3% | 29.6% | 8,646 | 0.34 |
| Mono | 7 | — | Housing | 11.0% | 15.0% | 13,169 | 0.27 |
| Monterey | 2 | — | Housing | 12.6% | 18.0% | 435,834 | 0.09 |
| Napa | 3 | — | Housing | 8.4% | 9.8% | 136,070 | 0.11 |
| Nevada | 4 | — | Housing | 10.6% | 10.9% | 102,452 | 0.15 |
| Orange | 1 | — | Housing | 9.5% | 10.9% | 3,164,063 | 0.04 |
| Placer | 1 | — | Housing | 6.7% | 6.4% | 412,435 | 0.03 |
| Plumas | 9 | — | Pop. loss | 10.7% | 13.7% | 19,607 | 0.34 |
| Riverside | 1 | — | Housing | 11.1% | 14.1% | 2,449,909 | 0.04 |
| Sacramento | 1 | — | Housing | 12.6% | 16.1% | 1,584,047 | 0.05 |
| San Benito | 1 | — | Housing | 7.8% | 10.7% | 66,056 | 0.03 |
| San Bernardino | 1 | — | Housing | 13.6% | 18.2% | 2,187,816 | 0.05 |
| San Diego | 1 | — | Housing | 10.4% | 12.0% | 3,282,782 | 0.04 |
| San Francisco | 1 | — | Housing | 10.6% | 8.2% | 836,321 | 0.04 |
| San Joaquin | 2 | — | Housing | 12.6% | 16.5% | 787,416 | 0.09 |
| San Luis Obispo | 2 | — | Housing | 12.8% | 12.7% | 281,486 | 0.09 |
| San Mateo | 1 | — | Housing | 6.5% | 6.3% | 745,100 | 0.03 |
| Santa Barbara | 2 | — | Housing | 13.8% | 15.5% | 443,975 | 0.09 |
| Santa Clara | 1 | — | Housing | 6.9% | 6.4% | 1,903,297 | 0.03 |
| Santa Cruz | 2 | — | Housing | 11.2% | 11.0% | 266,021 | 0.08 |
| Shasta | 3 | — | Housing | 13.0% | 13.9% | 181,554 | 0.13 |
| Sierra | 8 | — | Pop. loss, Housing | 12.3% | 21.8% | 2,731 | 0.31 |
| Siskiyou | 7 | — | Housing | 16.6% | 20.1% | 43,834 | 0.29 |
| Solano | 2 | — | Housing | 9.7% | 12.2% | 450,824 | 0.08 |
| Sonoma | 2 | — | Housing | 8.6% | 9.3% | 485,642 | 0.07 |
| Stanislaus | 2 | — | Housing | 13.1% | 17.0% | 552,250 | 0.09 |
| Sutter | 3 | — | Housing | 14.8% | 19.8% | 98,971 | 0.13 |
| Tehama | 4 | — | Housing | 15.4% | 20.4% | 65,520 | 0.17 |
| Trinity | 8 | — | Low emp., Low ed., Housing, Retire. | 18.0% | 15.5% | 15,886 | 0.33 |
| Tulare | 2 | — | Housing | 17.8% | 24.1% | 475,774 | 0.11 |
| Tuolumne | 4 | — | Housing | 10.7% | 10.1% | 54,873 | 0.16 |
| Ventura | 2 | — | Housing | 9.0% | 12.3% | 838,259 | 0.07 |
| Yolo | 1 | — | Housing | 16.3% | 12.2% | 217,782 | 0.07 |
| Yuba | 3 | — | Housing | 15.3% | 20.7% | 83,079 | 0.14 |
Find a food pantry in California
Search California's 602 verified pantries, food banks, and meal programs — filtered by city, open-now status, and service type.
California pantry directoryCalifornia SNAP
Income limits, application steps, and EBT card details for residents of persistent-poverty counties and beyond.
California SNAP guideEmergency food help
National hotlines, 211 referrals, and same-day food options — critical in rural counties where the nearest pantry may be 30+ miles away.
Emergency foodFood deserts atlas
Rural poverty and low food access often overlap. Compare persistent-poverty counties to USDA's low-income / low-access food desert designations.
California food desertsMethodology
How we combined USDA ERS typology codes, the Rural-Urban Continuum, ACS poverty data, and PantryPath's own pantry directory — plus the risk-score formula.
Full methodology