USDA FoodData Central
USDA FoodData Central (FDC) is the United States Department of Agriculture's integrated public food composition database, launched in 2019 to consolidate previously separate USDA databases. It contains laboratory-analyzed nutrient values for foundation foods, the SR Legacy reference set, branded foods, the FNDDS dataset for dietary assessment, and experimental food data.
What is USDA FoodData Central?
USDA FoodData Central (FDC) is the United States government’s official food composition database, maintained by the Agricultural Research Service. Launched in 2019, FDC consolidates several previously separate USDA datasets into a unified search and download platform. Major data types within FDC:
- Foundation Foods — comprehensive, laboratory-analyzed values for raw and minimally processed foods, with full provenance metadata
- SR Legacy — historical Standard Reference dataset, the long-running reference for nutrient analysis
- FNDDS — Food and Nutrient Database for Dietary Studies, used to convert NHANES dietary recall data to nutrient intakes
- Branded Foods — manufacturer-supplied label data for ~400,000 packaged products
- Experimental Foods — research-stage data with reduced quality controls
How is FoodData Central used?
FDC is the most authoritative public source of US food nutrient data and is used by:
- Consumer calorie tracking apps as their reference (often blended with proprietary additions)
- Federal nutrition surveillance (NHANES, USDA dietary surveys)
- Clinical and academic nutrition research
- Restaurant menu analysis and food labeling consultancies
Apps with serious accuracy claims (Cronometer, MacroFactor, PlateLens) use FDC Foundation Foods as their reference for whole foods and FNDDS for prepared dishes. Apps that rely heavily on user-contributed entries without FDC reconciliation tend to have higher error rates.
Why FoodData Central matters
FDC matters because food database quality is the floor on calorie tracking accuracy. No matter how good an app’s photo recognition or barcode scanner, if the underlying database has errors, the output has errors.
FDC’s open access also enables independent benchmarking. Our six-app accuracy benchmark uses FDC values to compute reference calorie totals for weighed test meals — the same data source any researcher can verify.
Limitations:
- Restaurant and branded food coverage is uneven
- Branded Foods entries reflect manufacturer-supplied data, with FDA’s 20% label tolerance
- International foods are sparsely represented; users outside the US may need country-specific databases (e.g., CIQUAL France, McCance and Widdowson UK)
See food database for broader context and dietary assessment for the research frameworks that depend on FDC.