Black rice (also called forbidden rice) is a whole grain rice with deep purple-black bran rich in anthocyanin pigments — the same antioxidants found in blueberries. It provides fibre, iron, vitamin E, and a range of polyphenols at levels that meaningfully exceed those of white or brown rice. It has a nutty, slightly sweet flavour.
Rinse then soak 30-60 minutes; cook in 2 parts water for 30-35 minutes. The cooking water turns purple — it can be used as a natural food colouring or drunk as a beverage.
Where Rice, black, unenriched, raw Stands Out
Macronutrients per 100g
Glycemic Index & Load
High GI food — causes a rapid rise in blood sugar. Best eaten in small portions combined with lower-GI foods, protein, or fat.
Glycemic Load (GL = GI × carbs ÷ 100) accounts for portion size. A high GL — keep portions modest.
Vitamins & Minerals
| Nutrient | Per 100g | % Daily Value* | Level |
|---|---|---|---|
| Phosphorus | 307 mg | 44% | |
| Potassium | 256 mg | 13% | |
| Magnesium | 113 mg | 30% | |
| Calcium | 14.4 mg | 2% | |
| Niacin (B3) | 8.28 mg | 52% | |
| Manganese | 3.91 mg | 195% | |
| Zinc | 1.72 mg | 17% | |
| Iron | 1.12 mg | 8% | |
| Thiamin (B1) | 0.319 mg | 29% | |
| Copper | 0.210 mg | 21% | |
| Vitamin B6 | 0.202 mg | 14% | |
| Biotin (Vitamin B7) | 4.88 µg | 10% |
* % Daily Value is the proportion of an adult
EU Nutrient Reference Value (NRV) supplied by 100g of this food.
NRVs are the labelling standard — the same basis as the “%RI” figures printed on
food packaging — so these percentages are directly comparable with a shop label.
They are a single adult figure and do not vary by age or sex, which is why they
sometimes differ from UK dietary reference values: the NRV for vitamin C is 80mg
where the UK RNI is 40mg. When Nutriofia assesses your own intake in the
reports and trackers, it uses the age- and sex-specific UK values instead.
Fibre is shown without a percentage. Our fibre values use the UK
Englyst NSP method, while the published 30g daily goal is an AOAC figure — the two
are measured differently and a single percentage would mislead.
How we source and normalise our data →