USDA NASS Quick Stats
- Coverage
- United States and territories - national, state…
Industry hub · Food distributors data provider
Datadory covers food distributors data provider with 2 datasets spanning USDA NASS Quick Stats , Open Food Facts - Open Database & API and USDA FoodData Central (Branded Foods + Foundation + SR Legacy + FNDDS) . Delivered daily, weekly, or hourly — your call.
Every catch in this slice, ranked by our quality rubric — depth of documentation, freshness, breadth. Pick one, sample it, ship it.
Plus 6 more in this slice — each with its field dictionary and sample rows on its own page.
Where food distributors data provider data actually comes from.
Food distribution data splits into two layers: the thin native layer and the deep borrowed one.
Both are cataloged here.
The native layer is association and platform data.
The IFDA Research Library is the only record built by foodservice distributors themselves - monthly economic updates for US broadline distribution, Technomic quarterly briefs, benchmarking and compensation studies, and an industry facts page carrying roughly 15 headline metrics with 2023 performance medians.
Dozens of reports span the archive. RangeMe is the supply-side counterweight: the product discovery network connecting 15,000-plus retail buyers with more than 200,000 CPG supplier brands across food, grocery, beverage and health categories in seven regions including the US, UK, Canada and Australia.
Everything else comes from neighbors, and it is overwhelmingly the federal wholesale spine.
The Monthly Wholesale Trade Survey reads month-to-month demand: US merchant-wholesaler sales, end-of-month inventories and inventories-to-sales ratios by NAICS 42 kind of business back to January 1992.
The Economic Census for Wholesale Trade sizes the market every five years - its sector 42 basic table alone runs 442,035 rows, with dedicated detail for grocery wholesalers (NAICS 4244) and beer, wine and spirits wholesalers (NAICS 4248) across nearly 21,000 geographic areas.
The Annual Integrated Economic Survey fills the between-years gap with annual revenues, e-commerce sales, operating expenses, inventories and payroll starting from reference year 2023, released February 26, 2026.
Around that spine sit the food-specific records.
Three to start with. The rest of the board is above.
SOURCE_DESC · SECTOR_DESC · GROUP_DESC …+13 more
code · creator · created_t …+40 more
fdcId · description · dataType …+13 more
GEO_ID · GEO_LABEL · SECTOR …+14 more
GEOTYPE · ST · GEO_ID …+19 more
Year · Type · Channel …+10 more
date · region · origin …+8 more
Area Code / Area Code (M49) / Area · Item Code / Item Code (CPC) / Item · Element Code / Element …+5 more
Month · Year · 42 …+2 more
report_title · publication_date · category …+6 more
brand_name · product_name · msrp …+6 more
GEO_ID · NAME · YEAR …+21 more
Distribution strategists read month-to-month demand cycles from MWTS sales and inventory ratios by kind of business, then size addressable markets with Economic Census grocery (4244) and beer, wine and spirits (4248) detail before committing to a territory - see strategy use cases.
Category managers and private-label buyers prospect supplier brands through RangeMe's network of 200,000-plus brands and 15,000-plus retail buyers, then enrich listings with Open Food Facts ingredients and Nutri-Score joined to FoodData Central nutrient records - see category management use cases.
Finance teams benchmark distributor revenue, e-commerce penetration and operating expenses against AIES annual results, and defend margin conversations with the Food Dollar Series' wholesale share - see finance use cases.
Operations leaders set pay and fleet benchmarks from IFDA's compensation studies and Technomic quarterly briefs - see operations use cases.
Match the record to the decision.
Monthly sales-and-inventory ratios suit forecasting and working capital; five-year census counts suit market sizing; lane-level truck rates suit freight budgeting; brand directories suit assortment sourcing.
Don't ask a sizing instrument to do a timing job.
Check the grain before you commit.
Industry-level association aggregates benchmark your own operation but cannot rank competitors - no company-level rows exist there.
Establishment-level census rows prove market structure; current-state platform records go stale the moment a buyer changes assortment.
Pair layers instead of picking sides.
The strongest work joins the federal spine to the native layer: MWTS momentum plus IFDA benchmarks explains both the market and your place in it.
And decide the cadence you actually need - delivery runs daily, weekly, or hourly either way.
The food distributor datasets list ranks the whole board when you want the short answer.
Any catch on this board, sampled against your own question. API, files, or your warehouse. Daily, weekly, or hourly..
Nothing in the tray. Hit “Sample it” on anything in the catalog.
0 datasets, real rows from each. We reply from a person, not a pipeline.
API number · Surface coordinates · Drilling start (approx.) …+47 more
UniqueCarrier / AirlineID · OriginAirportID / DestAirportID · Month / Class …+36 more
Record_ID · Change_Type · Covered_Recipient_Type …+36 more
MatchedObjectId · PositionID · PositionTitle …+62 more
X_Minimum · X_Maximum · Y_Minimum …+31 more
departure_airport · departure_iata · departure_icao …+30 more
0 datasets
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