Two things decide whether a septic system is likely to fail: the soil it drains into and the age of the system. We combined USDA soil-suitability ratings with Census housing-age data to score 2,390 counties across 31 states. The single riskiest place in America for a septic system is Pawnee County, Nebraska (risk 94/100) — and the highest-risk counties cluster where poor clay soils meet aging farmhouses: the rural Great Plains and Midwest.
The headline numbers
Pawnee County, Nebraska has the highest septic failure risk in the nation (score 94/100): 94.8% poorly-suited soil and a median home built in 1945.
Iowa has the highest average county risk score (76.9/100) of any well-covered state.
Texas has the lowest average county risk (34.4/100) of the well-covered states — better soil and newer housing.
The average scored county has a septic failure risk of 59 out of 100 — a reminder that challenging conditions are the norm, not the exception.
Septic failure risk by state
Average county risk score, for the 31 states with county-level soil coverage. Darker = higher risk.
The 100 highest-risk counties
Ranked by risk score. “Soil” = % of the county's soils rated “Very Limited” for septic; “Built” = median year homes were built. Search for your state's abbreviation.
| # | County | State | Risk /100 ▼ | Soil % | Built |
|---|---|---|---|---|---|
| 1 | Pawnee County | NE | 94 | 94.8% | 1,945 |
| 2 | Republic County | KS | 93 | 89.2% | 1,941 |
| 3 | Lincoln County | KS | 90 | 83.8% | 1,938 |
| 4 | Stafford County | KS | 90 | 96.5% | 1,952 |
| 5 | Edwards County | KS | 90 | 89.3% | 1,945 |
| 6 | Richardson County | NE | 90 | 89.1% | 1,945 |
| 7 | Taylor County | IA | 89 | 95.5% | 1,952 |
| 8 | Elk County | KS | 89 | 98.3% | 1,955 |
| 9 | Boyd County | NE | 89 | 92.1% | 1,950 |
| 10 | Jefferson County | NE | 89 | 91.1% | 1,949 |
| 11 | Worth County | IA | 88 | 89.9% | 1,949 |
| 12 | Audubon County | IA | 88 | 90.9% | 1,950 |
| 13 | Morris County | KS | 88 | 96.1% | 1,955 |
| 14 | Gogebic County | MI | 87 | 93.1% | 1,954 |
| 15 | Schuylkill County | PA | 87 | 83.3% | 1,944 |
| 16 | Lackawanna County | PA | 87 | 94.6% | 1,955 |
| 17 | Page County | IA | 87 | 90.6% | 1,951 |
| 18 | Greenwood County | KS | 87 | 97.5% | 1,958 |
| 19 | Montgomery County | KS | 87 | 95.5% | 1,956 |
| 20 | Jewell County | KS | 87 | 78.5% | 1,938 |
| 21 | Pratt County | KS | 87 | 94.3% | 1,955 |
| 22 | Rice County | KS | 87 | 94.3% | 1,955 |
| 23 | Johnson County | NE | 87 | 93.5% | 1,953 |
| 24 | Sanborn County | SD | 87 | 92% | 1,952 |
| 25 | Worth County | MO | 86 | 97.5% | 1,959 |
| 26 | Montgomery County | IA | 86 | 93.1% | 1,955 |
| 27 | Keokuk County | IA | 86 | 91.5% | 1,953 |
| 28 | Fayette County | IA | 86 | 91% | 1,953 |
| 29 | Adams County | IA | 86 | 92.8% | 1,954 |
| 30 | Chase County | KS | 86 | 95.9% | 1,958 |
| 31 | Kingman County | KS | 86 | 95.5% | 1,957 |
| 32 | Nuckolls County | NE | 86 | 83.8% | 1,947 |
| 33 | Cortland County | NY | 85 | 97.6% | 1,961 |
| 34 | Houghton County | MI | 85 | 96.3% | 1,959 |
| 35 | Venango County | PA | 85 | 96.5% | 1,959 |
| 36 | Cambria County | PA | 85 | 92.9% | 1,956 |
| 37 | Passaic County | NJ | 85 | 93.1% | 1,956 |
| 38 | Howard County | IA | 85 | 90.8% | 1,954 |
| 39 | Lee County | IA | 85 | 95.3% | 1,959 |
| 40 | Cass County | IA | 85 | 90.9% | 1,954 |
| 41 | Wapello County | IA | 85 | 94.5% | 1,958 |
| 42 | Woodson County | KS | 85 | 97.8% | 1,960 |
| 43 | Bourbon County | KS | 85 | 94.5% | 1,958 |
| 44 | Marion County | KS | 85 | 93.1% | 1,957 |
| 45 | Neosho County | KS | 85 | 96.7% | 1,960 |
| 46 | Washington County | KS | 85 | 91.3% | 1,954 |
| 47 | Nemaha County | NE | 85 | 91.9% | 1,955 |
| 48 | McPherson County | NE | 85 | 93.9% | 1,957 |
| 49 | Kings County | NY | 84 | 76.2% | 1,943 |
| 50 | Fayette County | PA | 84 | 94% | 1,958 |
| 51 | Lincoln County | MN | 84 | 94.7% | 1,960 |
| 52 | Pipestone County | MN | 84 | 93.8% | 1,958 |
| 53 | Grundy County | MO | 84 | 98.3% | 1,962 |
| 54 | Washington County | IA | 84 | 97.7% | 1,962 |
| 55 | Adair County | IA | 84 | 93.4% | 1,958 |
| 56 | Tama County | IA | 84 | 91.8% | 1,956 |
| 57 | Cloud County | KS | 84 | 87.7% | 1,953 |
| 58 | Labette County | KS | 84 | 95% | 1,959 |
| 59 | Dickinson County | KS | 84 | 90.9% | 1,956 |
| 60 | Thomas County | NE | 84 | 91.5% | 1,957 |
| 61 | Thayer County | NE | 84 | 85.9% | 1,952 |
| 62 | Hooker County | NE | 84 | 93.8% | 1,959 |
| 63 | Franklin County | NE | 84 | 77.2% | 1,943 |
| 64 | Grant County | NE | 84 | 96.9% | 1,961 |
| 65 | Douglas County | SD | 84 | 92.5% | 1,957 |
| 66 | Jerauld County | SD | 84 | 89.3% | 1,955 |
| 67 | Allegany County | NY | 83 | 98.9% | 1,965 |
| 68 | Iron County | MI | 83 | 95.9% | 1,962 |
| 69 | Calhoun County | MI | 83 | 95.1% | 1,961 |
| 70 | Ontonagon County | MI | 83 | 95.7% | 1,962 |
| 71 | Beaver County | PA | 83 | 91.8% | 1,958 |
| 72 | Allegheny County | PA | 83 | 90.3% | 1,957 |
| 73 | Lawrence County | PA | 83 | 90.5% | 1,957 |
| 74 | Northumberland County | PA | 83 | 88% | 1,955 |
| 75 | Luzerne County | PA | 83 | 93.4% | 1,959 |
| 76 | Mower County | MN | 83 | 90.1% | 1,957 |
| 77 | Knox County | MO | 83 | 98% | 1,964 |
| 78 | Schuyler County | MO | 83 | 97.6% | 1,963 |
| 79 | Cass County | IN | 83 | 88.9% | 1,955 |
| 80 | Des Moines County | IA | 83 | 91.8% | 1,958 |
| 81 | Butler County | IA | 83 | 89.5% | 1,956 |
| 82 | Union County | IA | 83 | 94.3% | 1,961 |
| 83 | Mitchell County | IA | 83 | 90% | 1,956 |
| 84 | Louisa County | IA | 83 | 95.6% | 1,962 |
| 85 | Clinton County | IA | 83 | 91.1% | 1,958 |
| 86 | Anderson County | KS | 83 | 95.8% | 1,962 |
| 87 | Chautauqua County | KS | 83 | 94.5% | 1,960 |
| 88 | Blaine County | NE | 83 | 93.2% | 1,959 |
| 89 | Brown County | NE | 83 | 95.7% | 1,962 |
| 90 | Bay County | MI | 82 | 93.8% | 1,962 |
| 91 | Crawford County | PA | 82 | 98.4% | 1,966 |
| 92 | Somerset County | PA | 82 | 94.9% | 1,963 |
| 93 | Armstrong County | PA | 82 | 92.4% | 1,960 |
| 94 | Jefferson County | PA | 82 | 94% | 1,962 |
| 95 | Linn County | MO | 82 | 97.7% | 1,965 |
| 96 | Sullivan County | MO | 82 | 98.2% | 1,965 |
| 97 | Franklin County | MA | 82 | 93.1% | 1,961 |
| 98 | Rush County | IN | 82 | 85.1% | 1,954 |
| 99 | Union County | NJ | 82 | 87% | 1,956 |
| 100 | Cherokee County | IA | 82 | 87% | 1,956 |
100 of 100 rows · click a column to sort · click a row name to link it
Showing the 100 highest-risk counties of 2,390 scored. Full dataset available on request.
How the score works
The risk score is 60% soil + 40% system age. Soil comes from USDA's septic soil-suitability rating — the share of a county's soils that are “Very Limited” for a conventional drain field. Age comes from the Census median year homes were built, on the logic that an older housing stock means older septic systems installed under weaker codes. Neither factor alone predicts failure, but together they map where conditions stack the deck. What you control — regular pumping and maintenance — still matters most for your specific system.
SepticTankHub Research. “The U.S. Septic Failure Risk Index” (Report #1), 2026, from USDA SSURGO + Census ACS data. https://www.septictankhub.com/blog/septic-failure-risk-map/. Free to republish with attribution and a link.
Methodology & sources
Methodology & Sources — data as of 2026-07-08
Risk score (0–100) = 0.6 × (% of county soils rated 'Very Limited' for septic, USDA SSURGO) + 0.4 × ageRisk, where ageRisk = clamp((2000 − median year built) / 60 × 100, 0, 100) from Census ACS B25035.
Rationale: septic failure risk rises with poorly-suited soil (drain fields struggle) and with older housing (older systems, pre-modern-code installs). Both are county-level federal data.
Counties are included only where BOTH inputs are available; soil and Census counties are joined on the 3-digit county FIPS code within each state.
This is a risk INDICATOR from landscape + housing data, not a prediction for any individual property. It excludes system-density/reliance (no clean county-level septic-reliance source) and local maintenance behavior.
- A risk INDICATOR from landscape + housing data — not a prediction for any individual property.
- Excludes system density/reliance (no clean county-level septic-reliance source) and maintenance behavior.
- Covers 2,390 counties in 31 states; several western/island states use non-county soil survey areas and aren't yet included.
- State averages are shown only where at least half a state's counties are scored.
- USDA NRCS SSURGO — 'ENG - Septic Tank Absorption Fields' (soil suitability) (accessed 2026-07-08)
- U.S. Census Bureau ACS 5-Year (2023) table B25035 — median year structure built (accessed 2026-07-08)
Frequently asked questions
This is Report #1, published 2026. Media & data inquiries: [email protected] · see our press page. Related: Soil Suitability · Cost of Neglect.
