Farm Subsidy Rankings

Compare states by USDA payment categories

How PlainFarmData Rankings Are Compiled

Our rankings are computed directly from the upstream dataset — not editorially curated and not influenced by advertisers. Each ranking surfaces a clear, reproducible metric (for example, count of records per jurisdiction, share of records within a category, or rate per capita), and the underlying numbers are visible on the associated record pages so you can verify them. We recompute rankings whenever the upstream data refreshes, and we publish the refresh cadence on the methodology page.

What Rankings Mean (and What They Do Not)

A ranking is a useful lens — it tells you where to start looking — but it is not a judgment about quality, safety, or reputation. Being at the top of a count-based ranking typically reflects scale: more records in a jurisdiction, more entities in a category. It does not mean "better" or "worse." Whenever a ranking could be misread as a quality claim, we include an explanatory note on the page. When a ranking is rate-based (per capita, per thousand, share), we describe the denominator so you can sanity-check whether the normalization fits your question.

Why We Publish These Rankings

Rankings make large public datasets navigable. Most visitors arrive with a question ("Which jurisdiction has the most records?" or "Where is this category concentrated?") and benefit from seeing a ranked list with direct links to the full records. Publishing ranked views of public data is a long-established practice in civic journalism; we are careful to surface the raw numbers, link to the official source, and avoid editorial spin. If a ranking ever implies a value judgment not supported by the data, please email us at the address on the contact page and we will review the wording.

Methodology, Sources, and Corrections

Every ranking is derived from the source dataset linked on the methodology page. We do not blend proprietary signals; we do not substitute editor opinion for data. If you believe a ranking is miscomputed or that a record is misclassified, please contact us with the specific record ID and the expected correction, and we will investigate within the next refresh cycle. Corrections that affect the published ranking are rolled forward immediately; minor formatting fixes go out with the next scheduled refresh.

Understanding USDA Farm Subsidy Categories

The U.S. Department of Agriculture (USDA) administers farm subsidy programs through multiple agencies — primarily the Farm Service Agency (FSA), the Risk Management Agency (RMA), and the Natural Resources Conservation Service (NRCS). The rankings on this page draw from the consolidated payment records published by the USDA Economic Research Service (ERS) and the Environmental Working Group's (EWG) public-records-based farm subsidy database, both of which trace their underlying figures back to Freedom of Information Act (FOIA) releases of FSA payment files. Understanding which agency administers a given program matters when interpreting the ranking: commodity-program payments (Direct, Counter-Cyclical, PLC, ARC, MFP, CFAP) come from FSA; crop insurance indemnities come from RMA-approved private insurers reinsured by the federal government; conservation payments come from NRCS or jointly from FSA (for CRP) and NRCS (for EQIP, CSP, ACEP).

Top Subsidy States — What the Cumulative Totals Reveal

The "Top Subsidy States" ranking sums all categories of USDA farm payments from 1995 through the most recent year present in the source dataset. The cumulative-since-1995 framing is the standard EWG/USDA framing because it captures the full sweep of farm-bill cycles (1996, 2002, 2008, 2014, 2018, 2024) and lets readers compare states on a common multi-decade denominator. States with large acreages of program-eligible commodity crops (corn, soybeans, wheat, cotton, rice, sorghum, peanuts) dominate the top of this ranking. Iowa, Illinois, Texas, Kansas, Nebraska, Minnesota, and North Dakota typically rank highest. Specialty-crop states (California, Florida, Washington) rank lower in this cumulative subsidy view because most fruit, vegetable, and tree-nut production does not participate in the commodity-program structure.

Conservation Leaders — A Different Lens

The "Conservation Leaders" ranking surfaces a different geography. The Conservation Reserve Program (CRP), the Environmental Quality Incentives Program (EQIP), and the Conservation Stewardship Program (CSP) compensate landowners for taking environmentally sensitive land out of production or for adopting working-lands conservation practices. CRP enrollment is concentrated in the Great Plains and Upper Midwest (Texas, Iowa, Kansas, Colorado, North Dakota, South Dakota, Minnesota, Montana); EQIP and CSP have broader geographic distribution because they fund working-lands conservation practices on land that remains in production. A state can rank low on commodity subsidies but high on conservation payments if its agricultural mix tilts toward grazing land enrolled in CRP, irrigation efficiency upgrades funded by EQIP, or rotational-grazing systems funded by CSP. The ranking is a useful cross-check on the "subsidy" framing — federal payments to agriculture are not all production support.

Disaster Assistance and Crop Insurance Loss Ratio

The "Disaster Assistance" ranking aggregates ad-hoc disaster programs (CFAP-1, CFAP-2, MFP-1, MFP-2, ERP, LFP, WHIP+, and predecessors) plus the standing disaster framework. Disaster payments are episodic and event-driven; the cumulative state ranking reflects the underlying disaster history of each state — drought regions, hurricane corridors, persistent freeze-event corridors — more than it reflects "policy choice". Separately, the "Crop Insurance Loss Ratio" ranking divides RMA indemnities paid in a state by RMA premiums collected from policyholders in that state. A loss ratio above 1.00 means indemnities exceeded premiums (the state was a net beneficiary from the federal crop-insurance subsidy in that year); below 1.00 means premiums exceeded indemnities. Loss ratios swing year to year with weather, but the multi-year average tends to be a stable indicator of relative risk exposure. The Plains corridor and the South tend to run consistently above 1.00; the Pacific Northwest and parts of the Northeast tend to run below 1.00. The ranking is widely used by RMA actuaries to support premium-rate revisions and by congressional committees during farm-bill markups.