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The Big Climate Database

Learn more about the climate impact of food consumption with The Big Climate Database. The most consistent, detailed and transparent data collection to date on the climate footprint of food.

Climate footprint calculated in kg. Click on column titles to sort.
Category Food CO2e pr kg Agriculture ILUC Processing Packaging Transport Retail
Cereals and cereal products Barley groats 1,35 0,77 0,35 -0,08 0,20 0,10 0,01
Cereals and cereal products Breakfast cereal, müsli, average values 1,97 0,83 0,34 0,14 0,58 0,07 0,01
Cereals and cereal products Breakfast cereal, oat puffs 1,88 0,58 0,26 0,36 0,58 0,10 0,01
Cereals and cereal products Breakfast cereal, sugar pops 2,41 0,87 0,24 0,52 0,58 0,20 0,01
Cereals and cereal products Bulgur, parboiled 1,54 0,82 0,29 0,14 0,20 0,09 0,01
Cereals and cereal products Corn flakes, average values 2,00 0,76 0,27 0,26 0,58 0,13 0,01
Cereals and cereal products Corn flour 1,19 0,73 0,23 -0,08 0,20 0,10 0,01
Cereals and cereal products Dumplings, average values 1,33 0,25 0,14 0,59 0,26 0,08 0,00
Cereals and cereal products Dumplings, frozen 1,37 0,25 0,14 0,61 0,26 0,08 0,02
Cereals and cereal products Food grain, kamut 1,54 0,82 0,29 0,14 0,20 0,09 0,01
Cereals and cereal products Fresh pasta, fettucine spinach 1,28 0,60 0,22 0,14 0,23 0,09 0,00
Cereals and cereal products Granola bar 4,08 1,57 1,24 0,30 0,67 0,29 0,01
Cereals and cereal products Microwave popcorn 1,84 0,33 0,19 0,99 0,26 0,06 0,01
Cereals and cereal products Muesli bar, chocolate 2,82 0,98 0,41 0,70 0,58 0,14 0,01
Cereals and cereal products Noodles, eggs 1,43 0,72 0,25 0,14 0,23 0,09 0,01
Cereals and cereal products Oats, rolled, not enriched 1,48 0,84 0,40 -0,08 0,20 0,10 0,01
Cereals and cereal products Pasta 1,73 0,74 0,25 0,15 0,23 0,36 0,01
Cereals and cereal products Pop corn, oil and salt added, traditional 1,49 0,37 0,19 0,60 0,26 0,06 0,01
Cereals and cereal products Quinoa, black 3,65 1,55 1,65 0,00 0,20 0,24 0,01
Cereals and cereal products Rice flour 4,74 3,64 0,55 -0,02 0,20 0,38 0,01
Cereals and cereal products Rice groats 4,72 3,64 0,55 -0,05 0,20 0,38 0,01
Cereals and cereal products Rice noodles 4,59 3,32 0,51 0,16 0,23 0,36 0,01
Cereals and cereal products Rice pancakes 4,21 2,57 0,44 0,26 0,67 0,26 0,01
Cereals and cereal products Rice, parboiled 4,70 3,47 0,53 0,14 0,20 0,36 0,01
Cereals and cereal products Rye flour, dark, whole meal 1,01 0,43 0,27 0,03 0,20 0,07 0,01
Cereals and cereal products Rye kernels, whole/cracked 1,01 0,43 0,27 0,03 0,20 0,07 0,01
Cereals and cereal products Stuffed fresh pasta 1,86 0,73 0,24 0,54 0,23 0,12 0,00
Cereals and cereal products Taco shells 2,19 0,57 0,22 1,05 0,26 0,08 0,01
Cereals and cereal products Tortilla chips, cheese 2,27 0,62 0,23 1,06 0,26 0,09 0,01
Cereals and cereal products Wheat, flour, wholemeal 1,06 0,53 0,22 0,03 0,20 0,06 0,01
Cereals and cereal products Wheat, kernels, whole/cracked 1,06 0,53 0,22 0,03 0,20 0,06 0,01
Ready meals Chicken, grilled, ready meal 4,70 1,67 1,23 0,04 1,18 0,59 0,00
Ready meals Chili con carne, ready meals 25,05 19,51 4,48 -0,95 1,18 0,83 0,00
Ready meals Croque monsieur, ready meals 1,77 1,01 0,36 -0,07 0,26 0,21 0,00
Ready meals Cup noodles chicken 1,60 0,71 0,25 0,28 0,26 0,10 0,01
Ready meals Daal, ready meals 1,95 0,55 0,36 0,27 0,64 0,13 0,00
Ready meals Lasagne, beef, ready meals 10,17 7,58 1,79 -0,21 0,64 0,37 0,00
Ready meals Lasagne, vegan, ready meals 1,44 0,32 0,16 0,22 0,64 0,09 0,00
Ready meals Lasagne, vegetarian, ready meals 1,55 0,42 0,17 0,21 0,64 0,11 0,00
Ready meals Leek pie with bacon, ready meals 1,47 0,48 0,24 0,40 0,21 0,12 0,02
Ready meals Liver, pig, in cream sauce, frozen, ready meals 3,11 0,83 0,57 0,84 0,64 0,21 0,02
Ready meals Meatballs in curry with rice and curry sauce, ready meals 2,35 0,82 0,42 0,28 0,64 0,17 0,02
Ready meals Minced meat, spaghetti sauce type, average values, ready meals 16,27 12,68 2,94 -0,52 0,64 0,52 0,00
Ready meals Pancakes, ready meals 2,39 0,72 0,32 0,51 0,67 0,16 0,01
Ready meals Pizza Napolitana, frozen, ready meals 2,72 0,76 0,25 1,35 0,21 0,13 0,02
Ready meals Pizza Romana, frozen, ready meals 2,86 0,96 0,46 1,01 0,21 0,19 0,02
Ready meals Pizza with broccoli, frozen, ready meals 2,45 0,53 0,20 1,38 0,21 0,11 0,02
Ready meals Pizza with meat and seafood, tomato and cheese, ready meals 4,01 1,42 0,73 1,45 0,21 0,19 0,00
Ready meals Pizza with meat, tomato and cheese, ready meals 4,33 2,00 0,74 1,11 0,21 0,27 0,00
Ready meals Pizza with salami, tomato and cheese, ready meals 3,08 0,97 0,49 1,25 0,21 0,15 0,00
Ready meals Pizza with seafood, tomato and cheese, ready meals 3,69 0,85 0,72 1,79 0,21 0,12 0,00
Ready meals Pizza with tomato and cheese, ready meals 2,69 0,76 0,24 1,35 0,21 0,13 0,00
Ready meals Pizza with tuna, frozen, ready meals 2,53 0,39 0,25 1,56 0,21 0,10 0,02
Ready meals Pizza with vegetables, fruit, tomato and cheese, ready meals 2,42 0,53 0,20 1,38 0,21 0,11 0,00
Ready meals Pork in curry sauce, frozen, ready meals 4,72 2,22 1,35 -0,07 0,64 0,55 0,02
Ready meals Pork, minced and bound with flour and egg, boiled, frozen, ready meals 2,26 0,83 0,49 0,07 0,64 0,20 0,02
Ready meals Potato hotchpotch, beef, ready meals 15,70 11,94 2,74 0,22 0,26 0,51 0,02
Ready meals Potato hotchpotch, mixed meat, ready meals 10,89 6,92 1,70 1,59 0,26 0,40 0,02
Ready meals Samosa, vegetarian frost 1,27 0,36 0,17 0,39 0,24 0,09 0,02
Ready meals Soup, tomato, ready to eat 1,95 0,81 0,21 0,57 0,22 0,13 0,01
Ready meals Spring roll, deepfried, ready meals 2,97 1,19 0,26 0,73 0,64 0,15 0,00
Ready meals Spring roll, frozen, ready meals 2,97 1,19 0,26 0,73 0,64 0,15 0,00
Ready meals Spring rolls, beef, ready meals 4,64 2,52 0,67 0,61 0,64 0,17 0,02
Ready meals Spring rolls, chicken, ready meals 2,47 0,54 0,33 0,78 0,64 0,16 0,02
Ready meals Spring rolls, vegetables, ready meals 2,97 1,19 0,26 0,73 0,64 0,15 0,00
Ready meals Sushi, ready meals 2,30 0,76 0,35 0,44 0,64 0,11 0,00
Ready meals Thai meal panang curry chicken, ready meal 3,37 1,51 0,86 0,11 0,64 0,25 0,00
Ready meals Turtle, fake, average values, ready meals 21,74 17,07 3,96 -0,63 0,63 0,71 0,01
Use * or ? as wildcard

Goods category