The Nutrition Facts Panel on packaged food describes a small set of macronutrients, a few vitamins and minerals, and a serving size. It is useful, but it does not describe how a food is actually made. WISEcode's NFP+™ data layer was built to fill that gap.
What NFP+™ adds
NFP+™ extends the nutrition panel with ingredient-level detail and processing context. The dataset captures information that is invisible in the panel itself but is essential for understanding food at the level needed to classify processing.
The scale of NFP+™
NFP+™ is the foundation of WISEcode's analysis. Public statistics include:
- 15,000+ food attributes tracked across the dataset
- 660 billion+ NFP+ gross attributes
- 130,000+ listed ingredients
- 8,629+ mapped ingredients per food on average
- 191 average attributes per food
- 943,000+ packaged foods analyzed
Why this scale matters
Ingredient-level processing classification cannot be done reliably at small scale. NFP+™ is what makes consistent, science-backed classification possible across the packaged-food landscape, and it is what powers both the Non-UPF Verified™ Program for brands and the UPF Detector™ App for consumers.
Who uses NFP+™
Researchers at the National Cancer Institute, USDA, and universities in the US and Canada rely on WISEcode's data to study links between food processing and health outcomes.
Want to put NFP+™ to work?
Brands and researchers can submit a request to learn how NFP+™ data can support your verification, reformulation, or research goals.
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