Appendix C — Food Composition Quick Reference

⚠️ Figures are per 100 g unless stated, rounded, and illustrative. ⚠️ Composition varies with variety, growing conditions, processing and preparation, and national food composition databases differ from each other for the same food.

⚠️ Use these for ORIENTATION — for seeing which foods are in which league — not for arithmetic that matters. For that, use your national food composition database, which is free.


⚠️ How to use this

⚠️ The purpose of this table is comparison, not accounting.

⚠️ It answers "is this a good source of protein?" and "which of these has more fibre?" — which are the questions Chapter 37's plate actually requires. ⚠️ It does not answer "exactly how much did I eat today," and Chapter 3 explains why that question is harder than it looks even with perfect tables.

⚠️ Three columns are marked because they are the ones this book kept returning to:

⚠️ FIBRE (Ch 11 — the largest gap) · ⚠️ PROTEIN per unit cost (Ch 8, Ch 32) · ⚠️ ENERGY DENSITY (Ch 22, Ch 30).


Pulses and legumes

⚠️ Cooked unless noted. The category Chapters 11, 32, 36 and 37 all independently arrive at.**

⚠️ Food kcal Protein g ⚠️ Fibre g ⚠️ Notes
⚠️ Lentils ~115 ~9 ⚠️ ~8 ⚠️ No soaking, ~25 min. The book's best-value single food
Chickpeas ~165 ~9 ~8
Black beans ~130 ~9 ~9
Kidney beans ~125 ~9 ~7
⚠️ Baked beans ~95 ~5 ~4 ⚠️ Group 3, and perfectly reasonable (Ch 22)
Peas, frozen ~80 ~5 ~5 ⚠️ Nutritionally comparable to fresh (Ch 20)
Tofu, firm ~145 ~15 ~2
Peanuts ~570 ~26 ~8 ⚠️ Energy dense and recommended

Grains and starchy staples

⚠️ Food kcal Protein g ⚠️ Fibre g ⚠️ Notes
⚠️ Oats, dry ~380 ~13 ⚠️ ~10 ⚠️ ~4 g fibre per typical serving
Brown rice, cooked ~110 ~2.5 ~1.8
White rice, cooked ~130 ~2.7 ~0.4 ⚠️ The fibre difference is the point (Ch 7)
Wholemeal bread ~250 ~10 ~7
White bread ~265 ~9 ~2.5
Wholewheat pasta, cooked ~125 ~5 ~4
Pasta, cooked ~130 ~5 ~2
⚠️ Potato, with skin ~85 ~2 ~2 ⚠️ Ch 7: not the villain it is made
Quinoa, cooked ~120 ~4.5 ~3

⚠️ Intact vs refined is the useful distinction, not "simple vs complex" (Ch 7). ⚠️ The fibre column above is what that distinction actually consists of.

Vegetables

⚠️ Food kcal ⚠️ Fibre g ⚠️ Notes
Broccoli ~35 ~2.6
⚠️ Cabbage ~25 ~2.5 ⚠️ Keeps for weeks; the cheapest vegetable in most shops (Ch 32)
Carrots ~40 ~2.8
Onions ~40 ~1.7 ⚠️ The base of most cooking, and the food-parcel transformer (Ch 32 §32.9)
Spinach ~25 ~2.2 ⚠️ Frozen is cheaper and wastes less
Tomatoes, tinned ~20 ~1 ⚠️ Group 3; a store-cupboard staple
Frozen mixed vegetables ~50 ~3 ⚠️ Nutritionally comparable to fresh (Ch 20 §20.15)
Mushrooms ~22 ~1

⚠️ Note how low the kcal column is. ⚠️ This is why vegetables look terrible in a per-calorie environmental comparison and why that comparison is an artefact (Ch 36 §36.3b).

Fruit

⚠️ Food kcal ⚠️ Fibre g ⚠️ Notes
Apple, with skin ~52 ~2.4
Banana ~90 ~2.6
Berries ~40–60 ~3–6 ⚠️ Frozen is cheaper and equivalent
Orange ~47 ~2.4
⚠️ Fruit juice ~45 ⚠️ ~0.2 ⚠️ The fibre is what was removed (Ch 18)
Dried fruit ~250–300 ~4–7 ⚠️ Energy dense; sugars concentrated, not "added" (Ch 18)

⚠️ The juice row is Chapter 18's argument in one line: the same sugars, the fibre gone, and the satiety with it.

Animal proteins

⚠️ Food kcal Protein g ⚠️ Notes
Chicken breast ~165 ~31
⚠️ Chicken thigh ~180 ~26 ⚠️ Roughly a third the price; better in slow methods (Ch 32)
Eggs ~145 ~13 ⚠️ ~6 g protein per egg. Ch 9's cholesterol guidance was withdrawn
⚠️ Tinned sardines ~200 ~25 ⚠️ Oily fish, cheap, shelf-stable (Ch 19, 32)
⚠️ Tinned mackerel ~200 ~22 ⚠️ Same argument
Salmon ~200 ~22
White fish ~90 ~20
Beef mince, lean ~215 ~26 ⚠️ Highest environmental impact per unit protein (Ch 36)
Pork ~240 ~27
⚠️ Processed meats ~300–450 ~15–25 ⚠️ The category with the ✅ association (Ch 9, 26)

Dairy and alternatives

⚠️ Food kcal Protein g ⚠️ Notes
Milk, whole ~64 ~3.3
Milk, semi-skimmed ~47 ~3.4
Greek yoghurt, plain ~60–100 ~9–10 ⚠️ The plain tub is cheaper and lower in sugar than pots (Ch 32)
Cheddar ~400 ~25 ⚠️ Energy dense; flat glucose curve, which is not the same as good (Ch 35 §35.5)
⚠️ Fortified plant milks ~30–60 ~0.5–3.5 ⚠️ Check for added calcium, B12 and iodine — unfortified versions are not equivalent

Fats, oils and nuts

⚠️ Food kcal ⚠️ Notes
Olive oil ~880 ⚠️ All oils are ~880–900
Vegetable/seed oils ~880 ⚠️ Ch 19: the panic was unfounded
Butter ~720
Almonds ~580 ⚠️ ~13 g fibre, ~21 g protein per 100 g
Walnuts ~650 ⚠️ Plant omega-3 (ALA)
Peanut butter ~590 ⚠️ Ch 32's cheap-protein entry

⚠️ Cost per nutrient — the comparison that matters

From Chapter 32 §32.2. ⚠️ Ranks are robust; prices are illustrative and will be wrong for you.

⚠️ Cheapest per 100 kcal ⚠️ Cheapest per 10 g protein ⚠️ Cheapest per vegetable serving
Vegetable oil ⚠️ Dried lentils, beans ⚠️ Frozen mixed vegetables
Sugar ⚠️ Eggs Cabbage
White flour, rice, pasta ⚠️ Milk, milk powder Carrots, onions
Oats ⚠️ Tinned fish Tinned tomatoes
Potatoes Peanuts ⚠️ Frozen spinach
Bread ⚠️ Chicken thighs Root vegetables

⚠️ THE INTERSECTION — cheap in every column: ⚠️ dried pulses, eggs, milk, tinned fish, frozen vegetables, oats, cabbage, root vegetables, tinned tomatoes, onions, peanuts, cheap cuts.

⚠️ Chapter 32 called that "not a compromise list and not a poverty list." ⚠️ Chapter 37 called it close to what it would recommend to everybody.


⚠️ Three cautions about all food composition data

⚠️ 1. Variation is larger than the tables suggest. ⚠️ Nutrient content varies with variety, soil, season, ripeness and storage — often by tens of per cent.

⚠️ 2. Preparation changes everything. ⚠️ Cooked vs raw weights differ enormously; water absorption in grains and pulses roughly triples cooked weight; and fat added in cooking is not in the table.

⚠️ 3. And declared label values are not measurements. ⚠️ Chapter 30 §30.5b: they may be calculated from ingredient databases rather than analysed, with tolerances around 20%.

⚠️ Which is why this appendix is for seeing which league a food is in, and why Chapter 3 treats precise dietary assessment as the field's largest methodological weakness.


Where to get better data

⚠️ Your national food composition database — USDA FoodData Central, McCance & Widdowson (UK), and national equivalents. ⚠️ Free, searchable, vastly more complete than this page, and updated.

⚠️ Use them when the answer matters. Use this page when you want to know whether lentils or rice has more fibre, which is most of the time.