USDA ERS · DISASTER-HEAVY · HEAVY · ND
North Dakota farm subsidy data
Disaster-weighted ERS profile for FY2023; county NASS tables below are a separate 2022 Census population.
- Total payments
- $313M
- Conservation
- $120M
- Disaster aid
- $190M
- Net farm income (2023)
- $4.2B
Disaster share inside North Dakota's $313M ERS total
Exclusive partition of this state's fiscal-year 2023 USDA ERS total (DISASTER-HEAVY). Conservation and disaster are published line items; the residual is commodity / ARC-PLC / MFP and other program families in the same extract.
North Dakota: disaster aid dominates a heavy ERS book
North Dakota stamps DISASTER-HEAVY · HEAVY on USDA ERS FY2023: disaster aid $190M of $313M total (#13 of 50 by total).
Crop-insurance loss ratio 156% ($781M indemnities on $500M premiums) sits beside the disaster line; read them together, not as substitutes. A ratio above 100% means claims exceeded premiums in this reporting period; it is not, by itself, a measure of a state’s agricultural risk.
County farm-count and sales tables below are the separate 2022 NASS Census population and do not sum to this ERS state total. Figures follow USDA Economic Research Service Farm Income and Wealth Statistics.
Payment history behind North Dakota's disaster stamp
Latest release change: -6.1% · North Dakota's total government payments moved from $313M in FY2023 to $294M in FY2024, the change between the two most recent finalized USDA ERS years. USDA publishes each release on its own; the movement between them is computed here.
| Year | Total |
|---|---|
| 2024 | $294M |
| 2023 | $313M |
| 2022 | $1.5B |
| 2021 | $1.5B |
| 2020 | $1.8B |
| 2019 | $1.1B |
| 2018 | $739M |
| 2017 | $588M |
| 2016 | $622M |
| 2015 | $363M |
Crop insurance beside North Dakota's disaster stamp
Loss ratio = indemnities ÷ premiums. A ratio above 100% means claims exceeded premiums in this reporting period; it is not, by itself, a measure of a state’s agricultural risk.
North Dakota vs. every rankable state: what goes into crop insurance isn't what comes out
Each dot is a state that clears the $1M premiums floor, placed by what it pays IN (premiums, left to right) against what its indemnities return relative to that (loss ratio, bottom to top). Paying more into the program is not the same as getting more out of it, a state can sit in the small-payer / outsized-payout quadrant just as easily as the reverse.
47-state rankable cohort, national medians at the crosshair
Top counties in North Dakota by commodity sales
Counties in North Dakota (53)
| County | Farms |
|---|---|
| Cass | 801 |
| Richland | 894 |
| Walsh | 850 |
| Pembina | 482 |
| Grand Forks | 956 |
| Stutsman | 829 |
| Cavalier | 527 |
| Bottineau | 719 |
| Traill | 465 |
| Ward | 634 |
| Mclean | 742 |
| Barnes | 739 |
| Wells | 438 |
| LA Moure | 543 |
| Dickey | 423 |
| Williams | 539 |
| Emmons | 510 |
| Mchenry | 664 |
| Morton | 688 |
| Ramsey | 512 |
| Mountrail | 512 |
| Benson | 369 |
| Towner | 377 |
| Sargent | 470 |
| Kidder | 356 |
Showing 1-25 of 53 counties, ranked by commodity sales.
Source: USDA Economic Research Service, Farm Income and Wealth Statistics (1995-2024) County data: USDA NASS 2022 Census of Agriculture
Income beside disaster stamp
Gross cash $13.8B · net cash $4.2B · net farm $4.2B · ARC $1M / PLC $0M
Nearest ERS payment peer (DISASTER-HEAVY · HEAVY): Montana · DISASTER-HEAVY · How disaster and program payments stack · Cass County NASS table
What to do with North Dakota's numbers
North Dakota ranks #13 of 50 states by total ERS farm payments. Three places to take that further:
- See how North Dakota compares against the 4 closest Midwest states by payment volume. Compare states
- Drill into Cass County, North Dakota's top county by commodity sales in the 2022 NASS Census. County detail
- How disaster and program payments stack for the program-level context behind these totals. Learn more
State payment totals (USDA ERS) and county figures (2022 NASS Census of Agriculture) are separate populations and must not be summed together.
Read our methodology - how this data is sourced, computed, and verified.