PantryPath Research · Rural & Persistent Poverty Atlas
Rural poverty in New York
1 persistent-poverty countyNew York has 1 persistent-poverty counties and 25 nonmetro counties — home to 1,419,250 residents living in counties with 30+ years of 20%-or-higher poverty. The state's all-ages poverty rate is 13.7% and child poverty is 18.2%.
1
Persistent-poverty counties
25
Nonmetro counties (RUCC 4–9)
1.4M
Residents in PPCs
62
Total counties
New York 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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New York at a glance
Poverty rate
13.7%
All ages, ACS S1701
Child poverty
18.2%
Under 18
PPC share
1.6%
Of counties in state
Nonmetro share
40.3%
RUCC 4–9
Pantries / 100K
2.73
PantryPath verified
Risk score (mean)
0.15
Composite 0–1
"Pantries / 100K" divides New York's 542 verified PantryPath pantries by the state population — a minimum-density indicator, not a saturated census. See methodology.
County-level hotspots
Top five counties across 62 in New York.
Highest rural hunger risk
Composite 0–1 score
- 1 Bronx 0.41
- 2 Schuyler 0.32
- 3 Delaware 0.32
- 4 Lewis 0.31
- 5 Wyoming 0.30
Highest poverty rate
ACS all-ages
- 1 Bronx 26.9%
- 2 Broome 18.9%
- 3 Kings 18.9%
- 4 Cattaraugus 17.6%
- 5 St. Lawrence 17.4%
Persistent-poverty counties
PPCs ranked by current poverty
- 1 Bronx 26.9%
Every county in New York
All 62 counties with RUCC, typology flags, and ACS poverty data.
| County | RUCC | PPC | Flags | Poverty | Child poverty | Population | Risk |
|---|---|---|---|---|---|---|---|
| Albany | 2 | — | Housing | 12.9% | 15.7% | 315,374 | 0.09 |
| Allegany | 7 | — | Pop. loss | 16.8% | 22.7% | 47,027 | 0.29 |
| Bronx | 1 | Yes | Housing | 26.9% | 34.8% | 1,419,250 | 0.41 |
| Broome | 3 | — | — | 18.9% | 23.8% | 197,738 | 0.15 |
| Cattaraugus | 4 | — | Pop. loss | 17.6% | 24.2% | 76,479 | 0.18 |
| Cayuga | 4 | — | Pop. loss | 13.8% | 18.7% | 75,464 | 0.17 |
| Chautauqua | 4 | — | Pop. loss | 17.0% | 23.1% | 126,329 | 0.18 |
| Chemung | 3 | — | Pop. loss | 15.8% | 21.4% | 82,805 | 0.14 |
| Chenango | 6 | — | Pop. loss | 12.2% | 15.2% | 46,685 | 0.24 |
| Clinton | 4 | — | — | 13.8% | 16.1% | 78,961 | 0.17 |
| Columbia | 6 | — | — | 11.4% | 16.5% | 61,245 | 0.23 |
| Cortland | 4 | — | — | 12.8% | 11.7% | 46,401 | 0.16 |
| Delaware | 8 | — | Pop. loss | 14.9% | 17.9% | 44,551 | 0.32 |
| Dutchess | 2 | — | Housing | 8.3% | 8.1% | 297,144 | 0.07 |
| Erie | 1 | — | — | 14.0% | 19.6% | 950,044 | 0.06 |
| Essex | 6 | — | — | 11.8% | 15.6% | 37,077 | 0.23 |
| Franklin | 7 | — | — | 16.5% | 23.2% | 47,066 | 0.29 |
| Fulton | 4 | — | — | 14.5% | 19.2% | 52,787 | 0.17 |
| Genesee | 4 | — | Pop. loss | 10.6% | 10.2% | 57,943 | 0.15 |
| Greene | 6 | — | Housing | 11.0% | 12.5% | 47,554 | 0.23 |
| Hamilton | 8 | — | Retire. | 10.0% | 6.9% | 5,102 | 0.30 |
| Herkimer | 2 | — | — | 13.3% | 16.7% | 59,932 | 0.09 |
| Jefferson | 3 | — | Low emp., Housing | 13.4% | 18.3% | 116,130 | 0.13 |
| Kings | 1 | — | Housing | 18.9% | 25.7% | 2,646,306 | 0.08 |
| Lewis | 8 | — | — | 12.2% | 17.2% | 26,618 | 0.31 |
| Livingston | 1 | — | — | 11.6% | 14.8% | 61,588 | 0.05 |
| Madison | 2 | — | — | 9.7% | 12.7% | 67,572 | 0.08 |
| Monroe | 1 | — | Housing | 13.1% | 18.7% | 754,068 | 0.05 |
| Montgomery | 4 | — | Housing | 14.7% | 19.9% | 49,461 | 0.17 |
| Nassau | 1 | — | Housing | 5.3% | 5.6% | 1,388,138 | 0.02 |
| New York | 1 | — | Housing | 15.8% | 19.5% | 1,627,788 | 0.06 |
| Niagara | 1 | — | Pop. loss | 13.0% | 18.3% | 211,341 | 0.05 |
| Oneida | 2 | — | Pop. loss | 14.6% | 20.3% | 229,645 | 0.10 |
| Onondaga | 2 | — | — | 13.9% | 21.2% | 471,611 | 0.09 |
| Ontario | 1 | — | — | 9.2% | 11.1% | 112,405 | 0.04 |
| Orange | 2 | — | Housing | 13.0% | 19.2% | 403,840 | 0.09 |
| Orleans | 1 | — | Pop. loss | 13.0% | 16.6% | 39,686 | 0.05 |
| Oswego | 2 | — | Pop. loss | 16.5% | 25.7% | 117,945 | 0.10 |
| Otsego | 7 | — | — | 14.1% | 17.9% | 59,738 | 0.28 |
| Putnam | 1 | — | Housing | 6.5% | 5.3% | 97,988 | 0.03 |
| Queens | 1 | — | Housing | 12.2% | 15.2% | 2,330,124 | 0.05 |
| Rensselaer | 2 | — | — | 11.8% | 17.3% | 160,341 | 0.08 |
| Richmond | 1 | — | Housing | 10.9% | 14.8% | 492,734 | 0.04 |
| Rockland | 1 | — | Housing | 15.6% | 25.4% | 338,936 | 0.06 |
| Saratoga | 2 | — | — | 6.7% | 7.6% | 237,075 | 0.06 |
| Schenectady | 2 | — | — | 12.5% | 16.8% | 159,603 | 0.09 |
| Schoharie | 2 | — | — | 10.8% | 11.7% | 29,979 | 0.08 |
| Schuyler | 8 | — | Pop. loss | 15.1% | 20.6% | 17,749 | 0.32 |
| Seneca | 6 | — | — | 13.3% | 16.7% | 33,125 | 0.24 |
| St. Lawrence | 4 | — | — | 17.4% | 23.5% | 107,796 | 0.18 |
| Steuben | 4 | — | — | 13.7% | 18.4% | 93,034 | 0.17 |
| Suffolk | 1 | — | Housing | 6.4% | 7.3% | 1,525,680 | 0.03 |
| Sullivan | 6 | — | Housing | 15.2% | 22.0% | 79,147 | 0.25 |
| Tioga | 3 | — | Pop. loss | 12.2% | 16.7% | 48,106 | 0.12 |
| Tompkins | 3 | — | Housing | 15.3% | 10.7% | 102,879 | 0.14 |
| Ulster | 3 | — | Housing | 14.3% | 14.8% | 182,109 | 0.13 |
| Warren | 3 | — | — | 9.1% | 10.0% | 65,560 | 0.11 |
| Washington | 3 | — | — | 10.8% | 13.4% | 60,883 | 0.12 |
| Wayne | 1 | — | — | 11.3% | 13.5% | 91,128 | 0.05 |
| Westchester | 1 | — | Housing | 8.9% | 10.6% | 996,888 | 0.04 |
| Wyoming | 8 | — | Pop. loss | 10.6% | 14.6% | 39,980 | 0.30 |
| Yates | 6 | — | — | 14.1% | 23.0% | 24,637 | 0.24 |
Find a food pantry in New York
Search New York's 542 verified pantries, food banks, and meal programs — filtered by city, open-now status, and service type.
New York pantry directoryNew York SNAP
Income limits, application steps, and EBT card details for residents of persistent-poverty counties and beyond.
New York 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.
New York 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