Unilever
Per-product safety scores across 138 indexed Unilever items — combining FDA SAFFA status, CSPI Chemical Cuisine ratings, and state-level ingredient bans.
| Signal | Unilever | Notes |
|---|---|---|
| Avg safety score | 76.9/100 | Mid-range |
| Products tracked | 138 | OpenFoodFacts US index |
| Flagged ingredients | 46.4% | FDA SAFFA + CSPI flag overlap |
| Public dye pledge | Yes | Per FDA Dye Tracker disclosures |
What the Data Says About
Unilever: 138 products tracked, avg safety score 76.9/100, 46.4% of catalog has at least one flagged ingredient. Dye pledge: Yes.
Score <85 indicates a meaningful share of the Unilever catalog contains FDA/CSPI flagged additives — review individual product pages for specifics. Scoring methodology + dye-pledge context →
Safety scores weigh each product's ingredient list against FDA additive guidance and Center for Science in the Public Interest (CSPI) concern ratings, then average across the brand's tracked catalog. A flagged ingredient is not a recall or a ban — it marks an additive that one of these authorities lists for caution, such as a synthetic dye, a nitrite preservative, or a high-intensity sweetener. Scores shift as brands reformulate and as the underlying datasets refresh, so a brand-level average is a starting point, not a verdict — open the individual product pages for the detail behind any number.
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Sorted by concern level (most flagged first)
Frequently Asked Questions
Is Unilever food safe? ▼
Unilever has an average safety score of 77/100 across 138 tracked products. 46.4% of products contain flagged ingredients.
How many Unilever products are tracked? ▼
Our database tracks 138 Unilever products, with safety scores based on ingredient analysis from FDA and CSPI data.
Does Unilever use artificial dyes? ▼
Unilever has made a public commitment to remove artificial dyes from their products.
Learn More
Sources & related
Disclaimer: Informational purposes only; not professional advice. A flagged ingredient is not a recall or a ban. Consult a qualified professional before making decisions based on this data.