Foods

Protein In Fish And Seafood

Most cooked fish sits between 20g and 30g of protein per 100g. The real difference between species is fat, not protein — and that changes the calories dramatically.

Fish and seafood compared

Lean white fish versus oily fish

Cod, haddock, pollock and monkfish give you 22–24g of protein for roughly 100–110 calories per 100g. They are the leanest protein sources in the entire food supply.

Salmon, mackerel, sardines and herring deliver similar protein at 240–250 calories, but those extra calories come with omega-3 fats, vitamin D and a much stronger flavour. Neither is better; they answer different questions.

Practical portions

  • One salmon fillet (~170g cooked): about 43g protein.
  • One can of tuna in water (~142g drained): about 41g protein.
  • One cod fillet (~150g cooked): about 35g protein.
  • A portion of shrimp (~150g cooked): about 36g protein.
  • One tin of sardines (~90g): about 23g protein.

Add up your whole meal

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Common questions

Which fish has the most protein?

Among common fish, canned tuna and octopus lead at around 29–30g per 100g cooked, followed by halibut and swordfish at 26–27g.

Is canned fish as good as fresh?

Nutritionally, yes. Canned tuna, sardines and salmon keep their protein and, in the case of sardines, add calcium from the soft bones.

How often can I eat tuna?

Health agencies generally advise limiting large predatory fish such as albacore tuna and swordfish due to mercury, especially during pregnancy. Follow your local food safety guidance.

Keep reading

Protein in meatHow fish compares to red meat.Browse seafoodEvery fish in the database.Meal ScanScan a seafood plate or label.

What is Protein Hunter?

Protein Hunter is a protein and nutrition app with a database of 232 foods — from a leaf of kale to a wagyu steak — plus AI tools that answer protein questions, count a whole meal, build recipes to a macro target, and track what you actually eat.

  • Search any food
  • Count a full meal
  • Recipes to your macros
  • Scan a plate or label

Why it's different: the numbers are calculated from a fixed ingredient database rather than guessed, and when a target is not physically achievable the app says so instead of inventing a figure.

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