Datadory notebook
Arms Farm Financial Survey Data: Dataset Structure and Field Coverage
Datadory delivers arms farm financial survey data covering comprehensive field definitions, entity mappings, and historical time series — structured for direct analytics and delivered on demand.
1,744 datasets. Pick your catch.
What is ARMS farm financial survey data?
ARMS stands for the Agricultural Resource Management Survey, and USDA describes it plainly as its primary source on the production practices, resource use and economic well-being of America's farms and ranches. The USDA Economic Research Service publishes the estimates, organized into two streams that move on different clocks.
Within Datadory's catalog the record matters for what it combines: of the 10 USDA Economic Research Service datasets we catalog, ARMS is the only one that ties farm-business finances, operator household economics and production practices together in a single survey product. It scores 8 out of 10 on Datadory's quality rubric, above the mean of 7.81 across all 1,744 datasets.
What sits inside a single ARMS estimate?
Every ARMS row is an aggregate estimate, never a raw survey return, and 25 documented fields make that explicit - field definitions were verified against ERS documentation during research on August 21, 2026. Four fields carry the analytical weight: estimate and median hold the values, rse reports the relative standard error, and the flags unreliable_estimate and variable_is_invalid mark weak numbers before they reach your model. publication_date stamps each row individually.
Dimensions arrive as pairs: report names the tailored report (Farm Business Income Statement), category and category_value carry the first slice (NASS Region / South region), category2 and category2_value the second (Production Specialty / General Cash Grains), and farmtype adds the typology layer (Farm Operator Households).
One published sample ties the schema together: 3,444 farms (kount, unit Number) in the General Cash Grains specialty of the South region's Farm Business Income Statement, statistic TOTAL, published March 20, 2026. Because precision travels with every number, you can drop flagged estimates programmatically instead of discovering them at peer review.
Which questions do the eight tailored reports answer?
The finance stream ships as eight tailored reports, and they divide cleanly into a business half and a household half. The split matters because the two halves answer different commercial questions: one prices a sector, the other prices the families running it.
The business half covers the balance sheet, income statement, financial ratios, structural characteristics, debt repayment capacity and government payments - six reports that together read like a lender's underwriting file for US production agriculture. The household half covers operator household income and the operator household balance sheet - the two reports that USDA ERS Farm Income and Wealth Statistics does not offer alongside its sector accounts, along with the farm-typology and production-specialty dimensions.
Every report can be sliced by the same seven dimensions: state, NASS region, farm resource region, economic sales class, farm typology, operator age and production specialty. That fixed grid is what makes ARMS usable for credit screening and market segmentation without any re-keying between reports.
How do you pull ARMS farm financial survey data, step by step?
Three routes exist - a bulk file, a documented API and the Tailored Reports web tool - and the API is the only one that carries complete state-level data.
Delivery formats span CSV, ZIP, JSON and XLSX, and the Tailored Reports tool at my.data.ers.usda.gov/arms/tailored-reports charts the same estimates interactively.
When should ARMS be paired with another dataset?
Pick the companion by the gap it fills.
Long-run income series. USDA ERS Farm Income and Wealth Statistics releases quarterly with about 460,000 rows per full-release CSV, cash receipts condensed back to 1910 and 2025-2026 forecasts - stronger for time series, but it lacks ARMS's operator household reports and typology dimension.
Physical volumes. USDA NASS Quick Stats (quality 10) answers how much was produced where, with records back to 1850 and up to 50,000 rows per API request; ARMS explains the finances and practice choices behind those counts.
Sub-state sizing. The USDA Census of Agriculture publishes county-resolved tables every five years (1840-2022), with 2022 and 2017 flat files around 138 MB gzipped each.
All three companions are free public-domain USDA sources, as ARMS is. If you would rather browse the wider ERS shelf than commit to one survey, the ERS Data Products Portal indexes about 98 products, and the trade-offs are laid out in our ARMS vs ERS Data Products Portal comparison.
Where to go next
ARMS is the finance layer of a wider stack - the agricultural products services data guide scores all 23 records in the slice, and two neighboring workflows extend what ARMS starts: farm income by state data for the quarterly sector accounts and county level farm data for sub-state sizing. The dataset-level record behind every fact here lives at USDA ERS ARMS - Farm Financial and Crop Production Practices, and the agricultural-products-services data hub indexes the rest of the slice.
| # | Tailored report | Focus |
|---|---|---|
| 1 | Farm Business Balance Sheet | Farm business |
| 2 | Income Statement | Farm business |
| 3 | Financial Ratios | Farm business |
| 4 | Structural Characteristics | Farm business |
| 5 | Debt Repayment Capacity | Farm business |
| 6 | Government Payments | Farm business |
| 7 | Operator Household Income | Operator household |
| 8 | Operator Household Balance Sheet | Operator household |
Pick up where this leaves off
Every one of these ships with sample rows before you commit to anything.
USDA ERS ARMS - Farm Financial and Crop Production Practices
variable_id · variable_name · variable_unit …+4 more
USDA ERS Farm Income and Wealth Statistics
Year · State · artificialKey …+8 more
USDA Census of Agriculture
PRODN_PRACTICE_DESC · UTIL_PRACTICE_DESC · DOMAIN_DESC …+1 more
USDA NASS Quick Stats
LOAD_TIME · DOMAIN_DESC
Want rows instead of a pitch? Name the datasets.
API, files, or your warehouse. Daily, weekly, or hourly.
Get a sampleQuestions worth asking
Does ARMS include individual farm records?
No. Individual farm records are never published - ARMS releases aggregated estimates only, cut by farm type, economic sales class, region, operator age and production specialty at state and national level. The finest geography available is the state, served through the API, so no response can be traced to an identifiable operation.
Can you get ARMS data at county level?
No. Geographic coverage runs to United States survey states through the API, with national summaries in the bulk ZIP file. For county-resolved farm figures, use the USDA Census of Agriculture's county tables or NASS Quick Stats, which reach ZIP-code level with records back to 1850.
What file formats does ARMS deliver?
Four: CSV, ZIP, JSON and XLSX. The bulk route is 2024-arms.zip (about 108 MB), containing the national-summary CSV; the API returns JSON over REST and GraphQL; and the Tailored Reports web tool charts the same estimates interactively. Historical years outside the current extract must be requested from the ERS ARMS Team.