Divine Rice Traditional

Name: Divine Rice Traditional
Brand: Rachel's organic

Rachel's organic

5021638000434

Processing

Processed foods

Group 3 of 4 on the NOVA scale

Additives listed

None we have assessed

Counted from the label, not by quantity

Sugars per 100g

6.93g

Medium

UK FSA front of pack threshold

Three separate readings, kept apart on purpose. This is not a score, and none of it says this product is harmful.

Additives

No additives listed in the source data for this product. That can mean it genuinely has none, or that the entry is incomplete. The pack itself is the authority.

Ingredients

Organic _milk_, organic rice (10.4%), organic sugar. organic cream (6%) (from _milk_), organic pasteurised whole _egg_, organic rice starch, sea salt

As printed on the pack, in the producer's own order: ingredients are listed by weight, so what comes first is most of what is in it. E numbers link to their assessment where we have one.

Processing level

NOVA group 3: Processed foods

Foods made by adding salt, sugar or oil to group 1 or 2, such as tinned fish, cheese or fresh bread. Fine in normal amounts.

Nutrients per 100g

Fat

5.60g

Medium

Saturates

2.33g

Medium

Sugars

6.93g

Medium

Salt

0.20g

Low

Judged on the UK FSA front of pack thresholds for solid foods. A dash means the source has no figure, which is not the same as a low one.

Other packs of this product

Open Food Facts keeps a record for every barcode, so one product can appear several times. Each of these carries its own data, and may be fuller or thinner than this one.

Divine Rice Traditional
5021638001868 NOVA 3

Where this came from

Product data from Open Food Facts, which is crowd sourced and can be incomplete or out of date. Photograph from the same source, under the Creative Commons Attribution ShareAlike licence. Open Food Facts last changed this record on 20 July 2026, and our copy is from 20 August 2026. The source is checked every night, and a product is rewritten here only when its record there changes. Something wrong? Correcting it at the source fixes it here and everywhere else that uses the same data. If the problem is one of our additive assessments, tell us.

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