Streit's
Per-product safety scores across 65 indexed Streit's items — combining FDA SAFFA status, CSPI Chemical Cuisine ratings, and state-level ingredient bans.
| Signal | Streit's | Notes |
|---|---|---|
| Avg safety score | 98.3/100 | Above-average |
| Products tracked | 65 | OpenFoodFacts US index |
| Flagged ingredients | 4.6% | FDA SAFFA + CSPI flag overlap |
| Public dye pledge | No | Per FDA Dye Tracker disclosures |
What the Data Says About
Streit's: 65 products tracked, avg safety score 98.3/100, 4.6% of catalog has at least one flagged ingredient. Dye pledge: No.
Score ≥95 places Streit's in the top-decile safety tier — ingredient profiles dominated by FDA/CSPI low-concern items. 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.
Products by
Sorted by concern level (most flagged first)
Frequently Asked Questions
Is Streit's food safe? ▼
Streit's has an average safety score of 98/100 across 65 tracked products. 4.6% of products contain flagged ingredients.
How many Streit's products are tracked? ▼
Our database tracks 65 Streit's products, with safety scores based on ingredient analysis from FDA and CSPI data.
Does Streit's use artificial dyes? ▼
Streit's has not publicly committed to removing artificial dyes. Check individual product pages for specific dye ingredients.
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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.