Potato flour is dried, ground potato, energy-dense with concentrated carbohydrate and some potassium. Vitamin C is largely lost in processing, so nutritionally it is a starchy ingredient rather than a vegetable serving.
Processed ingredient; use small amounts as a thickener or to bind in gluten-free baking.
Where Flour, potato Stands Out
Macronutrients per 100g
Glycemic Index & Load
Low GI food — causes a slow, steady rise in blood sugar. Ideal for sustained energy, blood glucose control, and reducing insulin demand.
Glycemic Load (GL = GI × carbs ÷ 100) accounts for portion size. A low GL means this food has minimal real-world blood sugar impact.
Vitamins & Minerals
| Nutrient | Per 100g | % Daily Value* | Level |
|---|---|---|---|
| Potassium | 1,269 mg | 63% | |
| Phosphorus | 197 mg | 28% | |
| Magnesium | 73.7 mg | 20% | |
| Calcium | 44.1 mg | 6% | |
| Folate | 41.2 µg | 21% | |
| Molybdenum | 18.9 µg | 38% | |
| Iron | 12.0 mg | 86% | |
| Niacin (B3) | 5.63 mg | 35% | |
| Selenium | 1.43 µg | 3% | |
| Zinc | 0.900 mg | 9% | |
| Manganese | 0.676 mg | 34% | |
| Vitamin B6 | 0.582 mg | 42% | |
| Copper | 0.231 mg | 23% | |
| Thiamin (B1) | 0.198 mg | 18% | |
| Riboflavin (B2) | 0.115 mg | 8% | |
| Biotin (Vitamin B7) | 0.976 µg | 2% |
* % 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 →