County cash rent
Ohio Farmland Cash Rent: County Rates and Trends
USDA NASS reported 81 Ohio county cash-rent figures for non-irrigated cropland in 2025. The 2026 state average is USD 188/ac, up USD 4/ac from 2025.
The five highest reported Ohio counties in 2025 are Darke (USD 287/ac), Mercer (USD 280/ac), Shelby (USD 259/ac), Madison (USD 240/ac), Hardin (USD 238/ac).
The five lowest reported counties are Belmont (USD 24/ac), Jefferson (USD 38/ac), Harrison (USD 44/ac), Guernsey (USD 52/ac), Meigs (USD 55/ac), which shows why a statewide average is a weak substitute for county data.
For broader state soil, parcel, energy, and CRP context, use the Ohio farmland analysis hub. This page stays focused on rent queries.
| County or fallback | Year | $/acre | Data level |
|---|---|---|---|
| Adams | 2025 | USD 144/ac | NASS county figure |
| Allen | 2025 | USD 229/ac | NASS county figure |
| Ashland | 2025 | USD 128/ac | NASS county figure |
| Ashtabula | 2025 | USD 57/ac | NASS county figure |
| Auglaize | 2025 | USD 228/ac | NASS county figure |
| Belmont | 2025 | USD 24/ac | NASS county figure |
| Brown | 2025 | USD 163/ac | NASS county figure |
| Butler | 2025 | USD 158/ac | NASS county figure |
| Carroll | 2025 | USD 59/ac | NASS county figure |
| Champaign | 2025 | USD 204/ac | NASS county figure |
| Clark | 2025 | USD 235/ac | NASS county figure |
| Clermont | 2025 | USD 132/ac | NASS county figure |
| Clinton | 2025 | USD 180/ac | NASS county figure |
| Columbiana | 2025 | USD 91/ac | NASS county figure |
| Coshocton | 2025 | USD 96/ac | NASS county figure |
| Crawford | 2025 | USD 204/ac | NASS county figure |
| Darke | 2025 | USD 287/ac | NASS county figure |
| Defiance | 2025 | USD 165/ac | NASS county figure |
| Delaware | 2025 | USD 197/ac | NASS county figure |
| Erie | 2025 | USD 186/ac | NASS county figure |
| Fairfield | 2025 | USD 173/ac | NASS county figure |
| Fayette | 2025 | USD 237/ac | NASS county figure |
| Franklin | 2025 | USD 209/ac | NASS county figure |
| Fulton | 2025 | USD 209/ac | NASS county figure |
| Gallia | 2025 | USD 69/ac | NASS county figure |
| Geauga | 2025 | USD 62/ac | NASS county figure |
| Greene | 2025 | USD 223/ac | NASS county figure |
| Guernsey | 2025 | USD 52/ac | NASS county figure |
| Hamilton | 2025 | USD 167/ac | NASS county figure |
| Hancock | 2025 | USD 210/ac | NASS county figure |
| Hardin | 2025 | USD 238/ac | NASS county figure |
| Harrison | 2025 | USD 44/ac | NASS county figure |
| Henry | 2025 | USD 200/ac | NASS county figure |
| Highland | 2025 | USD 181/ac | NASS county figure |
| Hocking | 2025 | USD 101/ac | NASS county figure |
| Holmes | 2025 | USD 119/ac | NASS county figure |
| Huron | 2025 | USD 190/ac | NASS county figure |
| Jefferson | 2025 | USD 38/ac | NASS county figure |
| Knox | 2025 | USD 149/ac | NASS county figure |
| Lake | 2025 | USD 116/ac | NASS county figure |
| Lawrence | 2025 | USD 60/ac | NASS county figure |
| Licking | 2025 | USD 134/ac | NASS county figure |
| Logan | 2025 | USD 209/ac | NASS county figure |
| Lorain | 2025 | USD 141/ac | NASS county figure |
| Lucas | 2025 | USD 179/ac | NASS county figure |
| Madison | 2025 | USD 240/ac | NASS county figure |
| Mahoning | 2025 | USD 91/ac | NASS county figure |
| Marion | 2025 | USD 195/ac | NASS county figure |
| Medina | 2025 | USD 108/ac | NASS county figure |
| Meigs | 2025 | USD 55/ac | NASS county figure |
| Mercer | 2025 | USD 280/ac | NASS county figure |
| Miami | 2025 | USD 198/ac | NASS county figure |
| Montgomery | 2025 | USD 198/ac | NASS county figure |
| Morgan | 2025 | USD 55/ac | NASS county figure |
| Morrow | 2025 | USD 180/ac | NASS county figure |
| Muskingum | 2025 | USD 100/ac | NASS county figure |
| Ottawa | 2025 | USD 185/ac | NASS county figure |
| Paulding | 2025 | USD 188/ac | NASS county figure |
| Perry | 2025 | USD 94/ac | NASS county figure |
| Pickaway | 2025 | USD 218/ac | NASS county figure |
| Pike | 2025 | USD 137/ac | NASS county figure |
| Portage | 2025 | USD 86/ac | NASS county figure |
| Preble | 2025 | USD 225/ac | NASS county figure |
| Richland | 2025 | USD 171/ac | NASS county figure |
| Ross | 2025 | USD 165/ac | NASS county figure |
| Sandusky | 2025 | USD 197/ac | NASS county figure |
| Scioto | 2025 | USD 97/ac | NASS county figure |
| Shelby | 2025 | USD 259/ac | NASS county figure |
| Stark | 2025 | USD 89/ac | NASS county figure |
| Summit | 2025 | USD 89/ac | NASS county figure |
| Trumbull | 2025 | USD 88/ac | NASS county figure |
| Tuscarawas | 2025 | USD 111/ac | NASS county figure |
| Union | 2025 | USD 190/ac | NASS county figure |
| Van Wert | 2025 | USD 232/ac | NASS county figure |
| Vinton | 2025 | USD 56/ac | NASS county figure |
| Warren | 2025 | USD 150/ac | NASS county figure |
| Washington | 2025 | USD 67/ac | NASS county figure |
| Wayne | 2025 | USD 179/ac | NASS county figure |
| Williams | 2025 | USD 194/ac | NASS county figure |
| Wood | 2025 | USD 198/ac | NASS county figure |
| Wyandot | 2025 | USD 210/ac | NASS county figure |
| Counties not separately reported by NASS | 2026 | USD 188/ac | State-level fallback, not county-specific |
County averages, not medians. The final fallback row shows the Ohio state figure explicitly labeled as state-level for counties NASS does not separately report.
Five-year Ohio trend
The 2026 state average is USD 188/ac, up USD 4/ac from 2025. The trend line below uses NASS state rows so it stays stable even when individual county suppression changes year to year.
From county average to parcel read
A county average tells you what surveyed non-irrigated cropland rented for in that county. It does not see whether your acres are high-PI prairie soil, a wet corner, a small irregular field, or ground with better access and drainage than the county average.
Scout reads the parcel's SSURGO soil profile, starts from the county NASS rent when it exists, and applies AgriTerra's PI-based soil band around that benchmark. If the county is unavailable, Scout uses the state figure and labels the downgrade.
Check the parcel, not just the county.
Start with the Ohio county benchmark, then let Scout read the parcel's soils, acreage, flood, wetlands, CRP fit, and energy context.