Population below the poverty line
The number of people below the poverty line. It is an estimate from a statistical model, not a direct count.
How it has moved
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Every state, every year
One row per state and one column per year, sorted by the latest value. It shows states, not counties: nobody can scan 3,222 rows, and the pattern only shows when it all fits on one screen.
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Where it comes from
Census SAIPE · Census SAIPE SAEPOVALL_PT
Combining areas: added up across areas.
Population makeup
How this measure varies with the racial and ethnic makeup of counties. Every group is shown, whatever its rank. These are links across counties: they describe places, not people. They say nothing about any person’s risk or behaviour based on their race. Counties with a larger share of one group also differ in much else, such as income, segregation, region and history. The adjusted figure only accounts for density, income and education.
| Share of residents | Unadjusted | Adjusted |
|---|---|---|
| Population below the poverty line and Share White, not HispanicNot an independent finding: one is modelled from the other. It is an estimate from a statistical model that uses the other as an input, so part of the match is built in. Share White, not Hispanic by US county | -0.28 | -0.24 |
| Population below the poverty line and Share Black, not HispanicNot an independent finding: one is modelled from the other. It is an estimate from a statistical model that uses the other as an input, so part of the match is built in. Share Black, not Hispanic by US county | +0.06 | +0.01 |
| Population below the poverty line and Share Hispanic or Latino, any raceNot an independent finding: one is modelled from the other. It is an estimate from a statistical model that uses the other as an input, so part of the match is built in. Share Hispanic or Latino, any race by US county | +0.21 | +0.26 |
| Population below the poverty line and Share Asian, not HispanicNot an independent finding: one is modelled from the other. It is an estimate from a statistical model that uses the other as an input, so part of the match is built in. Share Asian, not Hispanic by US county | +0.37 | +0.26 |
| Population below the poverty line and Share American Indian or Alaska Native, not HispanicNot an independent finding: one is modelled from the other. It is an estimate from a statistical model that uses the other as an input, so part of the match is built in. Share American Indian or Alaska Native, not Hispanic by US county | -0.09 | +0.09 |
Highest and lowest, per 1,000 residents
Of 3,141 counties reporting it. This is a count, so it is ranked per 1,000 residents, not as published. Ranked by raw totals, it would just list the largest counties in the country. Its link to population is 0.84, so the raw order would match almost every other count here. The published totals are in the table on each place page.
Highest
- Ziebach County, SD — 444.81 (1,072 total)
- Martin County, KY — 401.75 (4,492 total)
- Oglala Lakota County, SD — 355.27 (4,827 total)
- Buffalo County, SD — 353.44 (621 total)
- Bolivar County, MS — 350.86 (10,583 total)
Lowest
- Lincoln County, SD — 35.57 (2,429 total)
- Los Alamos County, NM — 38.20 (740 total)
- Douglas County, CO — 38.48 (14,173 total)
- Loudoun County, VA — 41.82 (17,860 total)
- Hinsdale County, CO — 42.60 (40 total)
The middle area reports 132.17. The middle half of counties falls between 103.45 and 168.37 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works