Introduction
This paper gives the values of the yield of edible tissue and the protein and fat contents of the world's commercially more important fish and shellfish species, derived from a survey of published, and some unpublished, material. The information is intended to assist FAO in estimating the contribution of fish to the nutrition of individual countries from their data on catches, landings and disposal. Much of the data collected is insufficiently comprehensive, especially in relation to yield, to allow definitive estimates to be made: many of the selected values are considered provisional, or tentative.
Data of the yield and composition (as a percentage of the edible portion) of the species surveyed are presented in Table 1. Much of the published data on which Table 1 is based is of less value than it could be, because of the universal failure of authors to appreciate the many factors that can affect yield and composition. A high proportion of the individual measurements in the literature are from a small number a fish, sometimes only one, caught on a single occasion. The possible effects on both yield and composition of the date of catching, the location, the size of the fish and natural variability have selfom, if ever, been fully taken into account. Yield measurements are particularly variable: it is not impossible to find published yields for a species that vary by a factor of 2. Apart from the factors already mentioned as causing variability, all authors have failed to define exactly terms such as “fillet” and “edible portion”.
The separate yields of skinless fillets and total edible flesh allow some flexibility in assessing the actual amount of fish tissue consumed in particular countries. In many developed countries a high proportion of fish is eaten in the filleted condition, with no bones or with pinbones only present, and often without skin. The remaining edible tissue is consigned with the bones, offal and possibly skin to fish meal manufacture, when it may contribute only indirectly to human nutrition. The extent to which skin is eaten is not addressed here since reliable information is lacking. In other countries, including most developing countries, fish is sold to the consumer either in the whole, gutted condition, or in some dressed or split form. In these circumstances nearly all the muscle tissue will be eaten and the “edible flesh” column in Table 1 is an estimate of such consumption. In any particular case a decision will need to be made on which yield figure is most suitable. (An intermediate figure could be appropriate.)
Yields are given to the nearest whole number, protein and fat contents to the first decimal place and energy values to the nearest whole number.
Energy values have been calculated using the factors:
| Protein | 4.27 kcal/g |
| Fat | 9.02 kcal/g |
| Glycogen | 4.11 kcal/g |
1 kcal = 4.185 kJ
General notes on Table 1:
Because of the inadequacy of the collected data many of the selected values of yield and some values of composition are considered tentative or provisional: these figures are in square brackets.
For each listed species, the Monograph giving fuller details will be found in Part 3, either under the English name of the species or as indicated in a numbered footnote.
The species or groups listed include, with a few exceptions such as species used mostly for reduction to fish meal, almost all those with an annual world catch exceeding 100,000 metric tons (MT) per year (together with some additional species that were considered at the same time.)
Selected values of yields are given as percentages of the whole weight of the fish.
Selected values of proteins and fat content are given as percentages of the edible tissue, muscle in the case of finfish, but including other organs in many shellfish.
Where two or more figures are given in a single column, this is explained in a numbered footnote.
The separate yields of skinless fillets and total edible flesh allow some flexibility in assessing the actual amount of fish tissue consumed in particular countries. In many developed countries a high proportion of fish is eaten in the filleted condition, with no bones or with pinbones only present, and often without skin. The remaining edible tissue is consigned with the bones, offal and possibly skin to fish meal manufacture, when it may contribute only indirectly to human nutrition. The extent to which skin is eaten is not addressed here since reliable information is lacking. In other countries, including most developing countries, fish is sold to the consumer either in the whole, gutted condition, or in some dressed or split form. In these circumstances nearly all the muscle tissue will be eaten and the ‘edible flesh’ column in Table 1 is an estimate of such consumption. In any particular case a decision will need to be made on which yield figure is most suitable. (An intermediate figure could be appropriate.)
Yields are given to the nearest whole number, protein and fat contents to the first decimal place and energy values to the nearest whole number.
Energy values have been calculated using the factors:
| Protein | 4.27 kcal/g |
| Fat | 9.02 kcal/g |
| Glycogen | 4.11 kcal/g |
1 kcal = 4.184 kJ
Comment on the exercise:
Much of the published data on which Table 1 is based, is of less value than it could be, because of the universal failure of authors to appreciate the many factors that can affect yield and consumption. A high portion of the individual measurements in the literature are from a small number of fish, sometimes only one, caught on a single occasion. The possible effects on both yield and composition of the date of catching, the location, the size of the fish and natural variability have seldom, if ever, been fully taken into account. Yield measurements are particularly variable: it is not impossible to find published yields for a species that vary by a factor of 2. Apart from the factors already mentioned as causing variability, all authors have failed to define exactly terms such as ‘fillet’ and ‘edible portion’.
As far as possible, the data have been obtained from original sources, not from other compilations or from abstracts.
Table 1
| Species | Yield (as % of whole fish or shellfish weight) | Composition (as % of edible portion) | Energy Value | |||||
|---|---|---|---|---|---|---|---|---|
| (see notes page 10) | Skinless Fillet | Edible Flesh | Meats | Protein | Fat | Glycogen | Kcal | Kjoules |
| Akiami paste shrimp | [100] | [16.2] | [1.3] | [81] | [338] | |||
| Alaska pollack | 36 | 41 | 16.6 | 0.6 | 76 | 319 | ||
| Albacore (1) | [30] | 58 | 23.7 | 4.6 | 143 | 597 | ||
| Amberjacks nei | [46] | [53] | 22.0 | 2.3 | 115 | 480 | ||
| American cupped oyster(2) | 10 | 8.5 | 1.8 | 2.7 | 64 | 266 | ||
| American plaice (3) | 34 | 49 | 17.6 | 1.6 | 90 | 375 | ||
| Anchoveta (4,28) | [51] | 62 | 18.0(20.2) | 2.8(4.2) | 102(124) | 427(519) | ||
| Anchovies nei (4,28) | [51] | 62 | 18.0(20.2) | 2.8(4.2) | 102(124) | 427(519) | ||
| Argentine hake (5) | 41 | 53 | 17.8 | 2.5 | 99 | 412 | ||
| Argentine shortfin squid (6) | 67 | 17.9 | 1.3 | 88 | 369 | |||
| Atka mackerel | [34] | [54] | [17.5] | [4.0] | [111] | [464] | ||
| Atlantic cod | 34 | 47 | 18.1 | 0.8 | 56 | 234 | ||
| Atlantic herring (29) | 46 | 61 | 17.8 | 13.8(14.2/6.1) | 200(204/131) | 839(854/548) | ||
| Atlantic horse mackerel (7) | [46] | 52 | 19.7 | 5.8 | 136 | 571 | ||
| Atlantic mackerel | 54 | 61 | 18.7 | 11.4 | 183 | 764 | ||
| Atlantic redfishes | 29 | 45 | 18.4 | 2.7 | 103 | 431 | ||
| Bali sardinella (8) | [53] | 65 | 20.2 | 4.5 | 127 | 531 | ||
| Banana prawn (9) | 57 | 20.5 | 1.3 | 99 | 415 | |||
| Bigeye tuna (1) | [30] | 58 | 23.7 | 4.6 | 143 | 597 | ||
| Black Sea sprat (10) | [50] | [56] | [17.1] | [8.1] | [146] | [611] | ||
| Blue mussel | 24 | 11.2 | 1.8 | 2.5 | 74 | 311 | ||
| Blue whiting | 28 | 49 | 18.4 | 0.3 | 81 | 340 | ||
| Bombay duck | - | [57] | [8.8] | [0.3] | [40] | [169] | ||
| Calico scallop (11,30) | [15],[6] | [16.0],15.8 | [0.8],0.6 | [2.9],2.4 | [87],83 | [366],346 | ||
| California pilchard (12) | 50 | 53 | 18.9 | 7.9 | 152 | 636 | ||
| Cape hakes (5) | 41 | 53 | 17.8 | 2.5 | 99 | 412 | ||
| Cape horse mackerel (7) | [46] | 52 | 19.7 | 5.8 | 136 | 571 | ||
| Capelin | [57] | [60] | 14.9 | 5.9 | 117 | 489 | ||
| Central Pacific anchoveta (4,28) | [51] | 62 | 18.0(20.2) | 2.8(4.2) | 102(124) | 427(519) | ||
| Characins | [38] | [57] | [17.6] | [10.5] | [170] | [711] | ||
| Chilean hake (5) | 41 | 53 | 17.8 | 2.5 | 99 | 412 | ||
| Chilean jack mackerel (7) | [46] | 52 | 19.7 | 5.8 | 136 | 571 | ||
| Chub mackerel | 46 | 57 | 20.4 | 9.5 | 173 | 723 | ||
| Chum salmon (13) | [50] | 62 | 20.5 | 6.3 | 144 | 604 | ||
| Chichlids nei (14) | [37] | 37 | 17.6 | 2.1 | 94 | 394 | ||
| Clams nei (15) | [18] | 10.8 | 1.1 | 3.9 | 72 | 302 | ||
| Coho salmon (13) | [50] | 62 | 20.5 | 6.3 | 144 | 604 | ||
| Common carp | 36 | [54] | 17.5 | 4.7 | 117 | 490 | ||
| Common scallop (11,30) | [15],[6] | [16.0],15.8 | [0.8],0.6 | [2.9],2.4 | [87],83 | [366],346 | ||
| Common squids (6) | 67 | 17.9 | 1.3 | 88 | 369 | |||
| Cunene horse mackerel (7) | [46] | 52 | 19.7 | 5.8 | 136 | 571 | ||
| Cupped oysters nei (2) | 10 | 8.5 | 1.8 | 2.7 | 64 | 266 | ||
| Cuttlefishes, bobtail squids (6) | [63] | 17.9 | 1.3 | 88 | 369 | |||
| Cyprinids nei (16) | 36 | [54] | 17.5 | 4.7 | 117 | 490 | ||
| Dagaas | - | [63] | [16.2] | [3.1] | [97] | [406] | ||
| Dentex seabreams, etc nei | 40 | 54 | 19.9 | 2.2 | 105 | 439 | ||
| European anchovy (4,28) | [51] | 62 | 18.0(20.2) | 2.8(4.2) | 102(124) | 427(519) | ||
| European hake (5) | 41 | 53 | 17.8 | 2.5 | 99 | 412 | ||
| European pilchard | [50] | 62 | 20.0 | 8.1 | 158 | 663 | ||
| European plaice | 34 | 49 | 17.6 | 1.6 | 90 | 375 | ||
| European sprat | [50] | [56] | [17.1] | [8.1] | [146] | [611] | ||
| Filefishes (17) | [33] | [36] | 18.8 | 0.7 | 87 | 362 | ||
| Flathead mullet (18) | 34 | 50 | 19.8 | 4.0 | 121 | 505 | ||
| Freshwater bream (16) | 36 | [54] | 17.5 | 4.7 | 117 | 490 | ||
| Frigate and bullet tunas (1) | [30] | 58 | 23.7 | 4.6 | 143 | 597 | ||
| Goldstripe sardinella (8) | [53] | 65 | 20.2 | 4.5 | 127 | 531 | ||
| Green mussel (19) | 24 | 11.2 | 1.8 | 2.5 | 74 | 311 | ||
| Greenland halibut (3) | 34 | 49 | 13.0 | 13.7 | 179 | 749 | ||
| Haddock | 35 | 48 | 18.6 | 0.2 | 81 | 340 | ||
| Hairtails, cutlassfishes | 46 | 59 | 20.1 | 3.9 | 121 | 506 | ||
| Hard clam (15) | [18] | 10.8 | 1.1 | 3.9 | 72 | 302 | ||
| Indian mackerel (20) | [45] | 57 | 20.4 | 3.2 | 116 | 485 | ||
| Indian mackerels nei (20) | [45] | 57 | 20.4 | 3.2 | 116 | 485 | ||
| Indian oil sardine (8) | [53] | 65 | 20.2 | 4.5 | 127 | 531 | ||
| Indian scad (21) | [52] | [52] | 21.3 | 2.5 | 114 | 475 | ||
| Jack and horse mackerels nei (7) | [46] | 52 | 19.7 | 5.8 | 136 | 571 | ||
| Jacks, crevalles nei | [33] | 56 | [19.8] | [1.7] | [100] | [418] | ||
| Japanese amberjack (22,31) | [46] | [53] | 22.0 | 2.3(12.3) | 115(205) | 480(857) | ||
| Japanese anchovy (4,28) | [51] | 62 | 18.0(20.2) | 2.8(4.2) | 102(124) | 427(519) | ||
| Japanese Manila) clam ((15) | [18] | 10.8 | 1.1 | 3.9 | 72 | 302 | ||
| Japanese claim (15) | [18] | 10.8 | 1.1 | 3.9 | 72 | 302 | ||
| Japanese flying squid (6) | 67 | 17.9 | 1.3 | 88 | 369 | |||
| Japanese jack mackerel (7) | [46] | 52 | 19.7 | 5.8 | 136 | 571 | ||
| Japanese pilchard | 50 | 53 | 18.9 | 7.91 | 52 | 636 | ||
| Japanese scad (21) | [52] | [52] | 21.3 | 2.5 | 114 | 475 | ||
| Japanese scallop (11,30) | [15],[6] | [16.0],15.8 | [0.8],0.6 | [2.9],2.4 | [87],83 | [366],346 | ||
| Japanese Spanish mackerel (23) | 57 | 67 | 20.0 | [4.4] | [125] | [523] | ||
| Jellyfishes | - | - | [0.8] | [0.1] | [4] | 18] | ||
| Kawakawa (1) | [30] | 58 | 23.7 | 4.6 | 143 | 597 | ||
| Largehead hairtail (24) | 46 | 59 | 20.1 | 3.9 | 121 | 506 | ||
| Mediterranean horse mackerel (7) | [46] | 52 | 19.7 | 5.8 | 136 | 571 | ||
| Milkfish | [46] | 61 | 21.1 | 4.7 | 132 | 554 | ||
| Mullets nei | 34 | 50 | 19.8 | 4.0 | 121 | 505 | ||
| Narrow-barred spanish | ||||||||
| king) mackerel ((23) | 57 | 67 | 20.0 | [4.4] | [125] | [523] | ||
| Nile perch | [57] | [65] | [21.2] | [0.8] | [98] | [409] | ||
| North Pacific anchovy (4,28) | [51] | 62 | 18.0(20.2) | 2.8(4.2) | 102(124) | 427(519) | ||
| North Pacific hake (5) | 41 | 53 | 17.8 | 2.5 | 99 | 412 | ||
| Northern bluefin tuna (1) | [30] | 58 | 23.7 | 4.6 | 143 | 597 | ||
| Northern brown shrimp (9) | 57 | 20.5 | 1.3 | 99 | 415 | |||
| Northern prawn | [36] | 16.8 | 1.0 | 81 | 338 | |||
| Northern white strimp (9) | 57 | 20.5 | 1.3 | 99 | 415 | |||
| Ocean quahog (15) | [18] | 10.8 | 1.1 | 3.9 | 72 | 302 | ||
| Octopuses (6) | [79] | 17.9 | 1.3 | 88 | 369 | |||
| Pacific cod | 30 | 41 | 17.3 | 0.7 | 80 | 335 | ||
| Pacific cupped oyster | 10 | 8.5 | 1.8 | 2.7 | 64 | 266 | ||
| Pacific herring | [52] | 60 | 17.8 | 11.6 | 181 | 756 | ||
| Pacific saury | [52] | 64 | 21.8 | 8.6 | 171 | 714 | ||
| Penaeus shrimps nei | 57 | 20.5 | 1.3 | 99 | 415 | |||
| Pink salmon (13) | [50] | 62 | 20.5 | 6.3 | 144 | 604 | ||
| Ponyfishes (Slipmouths) nei | - | [36] | 17.9 | [1.0] | [85] | [358] | ||
| Round sardinella (8) | [53] | 65 | 20.2 | 4.5 | 127 | 531 | ||
| Saithe | 34 | 47 | 18.3 | 0.5 | 83 | 346 | ||
| Sardinellas nei (8) | [53] | 65 | 20.2 | 4.5 | 127 | 531 | ||
| Scads | [52] | [52] | 21.3 | 2.5 | 114 | 475 | ||
| Scallops nei (30) | [15],[6] | [16.0],15.8 | [0.8],0.6 | [2.9],2.4 | [87],83 | [366],346 | ||
| Scorpionfishes, etc nei (25) | 29 | 45 | 18.4 | 2.7 | 103 | 431 | ||
| Sea mussels nei (19) | 24 | 11.2 | 1.8 | 2.5 | 74 | 311 | ||
| Sea scallop (11,30) | [15],[6] | [16.0],15.8 | [0.8],0.6 | [2.9],2.4 | [87],83 | [366],346 | ||
| Seerfishes nei | 57 | 67 | 20.0 | [4.4] | [125] | [523] | ||
| Short neck clams (15) | [18] | 10.8 | 1.1 | 3.9 | 72 | 302 | ||
| Silver hake (5) | 41 | 53 | 17.8 | 2.5 | 99 | 412 | ||
| Silver seabream (26) | 40 | 54 | 19.9 | 2.2 | 1.5 | 439 | ||
| Skipjack tuna | [46] | 62 | 24.2 | 3.8 | 138 | 576 | ||
| Snoek (24) | 46 | 59 | 20.1 | 3.9 | 121 | 506 | ||
| Sockeye salmon (13) | [50] | 62 | 20.5 | 6.3 | 144 | 604 | ||
| South American pilchard (12) | 50 | 53 | 18.9 | 7.9 | 152 | 636 | ||
| Southern African anchovy (4,28) | [51] | 62 | 18.0(20.2) | 2.8(4.2) | 102(124) | 427(519) | ||
| Southern African pilchard (12) | 50 | 53 | 18.9 | 7.9 | 152 | 636 | ||
| Southern blue whiting (27) | 28 | 49 | 18.4 | 0.3 | 81 | 340 | ||
| Southern bluefin tuna (1) | [30] | 58 | 23.7 | 4.6 | 143 | 597 | ||
| Squids nei (6) | 67 | 17.9 | 1.3 | 88 | 369 | |||
| Stolephorus anchovies (4,28) | [51] | 62 | 18.0(20.2) | 2.8(4.2) | 102(124) | 427(519) | ||
| Striped venus (15) | [18] | 10.8 | 1.1 | 3.9 | 72 | 302 | ||
| Surf clam (15) | [18] | 10.8 | 1.1 | 3.9 | 72 | 302 | ||
| Threadsail filefish (17) | [33] | [36] | 18.8 | 0.7 | 873 | 62 | ||
| Tilapias nei | [37] | 37 | 17.6 | 2.1 | 94 | 394 | ||
| Toli shad | [50] | [60] | 19.8 | [12.6] | [198] | [829] | ||
| Triggerfishes, durgons | [33] | [36] | 18.8 | 0.7 | 87 | 362 | ||
| Whiting | 32 | [49] | 18.2 | [0.4] | [81] | [340] | ||
| Yellowfin sole (3) | 34 | 49 | 17.6 | 1.6 | 90 | 375 | ||
| Yellowfin tuna (1) | [30] | 58 | 23.7 | 4.6 | 143 | 597 | ||
nei = not elsewhere included
Notes to Table 1
| 1 | Monograph | entitled | TUNAS | |
| 2 | " | " | PACIFIC CUPPED OYSTER | |
| 3 | " | " | EUROPEAN PLAICE | |
| 4 | " | " | ANCHOVIES | |
| 5 | " | " | HAKES | |
| 6 | " | " | SQUIDS, ETC | |
| 7 | " | " | JACK AND HORSE MACKERELS | |
| 8 | " | " | SARDINELLAS | |
| 9 | " | " | PENAEUS SHRIMPS NEI | |
| 10 | " | " | EUROPEAN SPRAT | |
| 11 | " | " | SCALLOPS NEI | |
| 12 | " | " | JAPANESE PILCHARD | |
| 13 | " | " | PACIFIC SALMON | |
| 14 | " | " | TILAPIAS NEI | |
| 15 | " | " | CLAMS | |
| 16 | " | " | COMMON CARP | |
| 17 | " | " | TRIGGERFISHES, DURGONS | |
| 18 | " | " | MULLETS NEI | |
| 19 | " | " | BLUE MUSSEL | |
| 20 | " | " | INDIAN MACKERELS | |
| 21 | " | " | SCADS | |
| 22 | " | " | AMBERJACKS NEI | |
| 23 | " | " | SEERFISHES NEI | |
| 24 | " | " | HAIRTAILS, CUTLASSFISHES | |
| 25 | " | " | ATLANTIC REDFISHES | |
| 26 | " | " | DENTEX, SEABREAMS, ETC, NEI | |
| 27 | " | " | BLUE WHITING | |
| 28 | First figure in composition and energy columns is for whole fish, figure in brackets for flesh | |||
| 29 | First figure in fat and energy columns is the weighted mean of the second and third figures; the second figure is for Atlantic-caught and third figure for Baltic-caught fish | |||
| 30 | First figure refers to meat including roe, second figure to meat excluding roe | |||
| 31 | First figure in fat and energy column is for wild, second figure for farmed fish | |||
Table 2
| Taxonomic Code | Scientific Name | English Name | 1985 catch (metric tons) |
|---|---|---|---|
| 1,21(05)xxx,xx | Stolothrissa, Limnothrissa spp | Dagaas | 116,397 |
| 1,21(05)001,05 | Clupea harengus | Atlantic herring | 1,519,202 |
| 1,21(05)001,07 | Clupea pallasi | Pacific herring | 292,723 |
| 1,21(05)012,xx | Sardinella spp | Sardinellas nei | 847,767 |
| 1,21(05)012,03 | Sardinella gibbosa | Goldstripe sardinella | 108,543 |
| 1,21(05)012,04 | Sardinella longiceps | Indian oil sardine | 290,229 |
| 1,21(05)012,10 | Sardinella aurita (= anchovia) | Round sardinella | 162,169 |
| 1,21(05)012,23 | Sardinella lemuru | Bali sardinella | 54,058 |
| 1,21(05)013,01 | Sardinops melanosticta (-us) | Japanese pilchard | 4,722,862 |
| 1,21(05)013,02 | Sardinops caerulea (-us) | Californian pilchard | 372,344 |
| 1,21(05)013,03 | Sardinops sagax | South American pilchard | 5,814,448 |
| 1,21(05)013,05 | Sardinops ocellata (-us) | Southern African pilchard | 89,798 |
| 1,21(05)034,04 | Hilsa toli (= Tenualosa toli) | Toli shad | 146,754 |
| 1,21(05)059,01 | Clupeonella delicatula (= cultriventris) | Black Sea sprat (Clupeonella) | 402,889 |
| 1,21(05)064,01 | Sardina pilchardus | European pilchard | 921,061 |
| 1,21(05)066,01 | Sprattus sprattus | European sprat | 266,829 |
| 1,21(06)xxx,xx | Engraulidae | Anchovies | 183,902 |
| 1,21(06)002,01 | Engraulis encrasicolus | European anchovy | 598,798 |
| 1,21(06)002,02 | Engraulis japonicus | Japanese anchovy | 349,336 |
| 1,21(06)002,07 | Engraulis mordax | North Pacific anchovy | 153,723 |
| 1,21(06)002,08 | Engraulis ringens | Anchoveta (Peruvian anchovy) | 986,796 |
| 1,21(06)002,12 | Engraulis capensis | Southern African anchovy | 323,239 |
| 1,21(06)015,03 | Cetengraulis mysticetus | Central Pacific anchoveta | 245,264 |
| 1,21(06)050,xx | Stolephorus spp | Stolephorus anchovies | 244,181 |
| 1,22(02)001,01 | Chanos chanos | Milkfish | 336,518 |
| 1,23(01)009,02 | Oncorhynchus gorbuscha | Pink (Humback) salmon | 301,086 |
| 1,23(01)009,03 | Oncorhynchus keta | Chum (Keta, Dog) salmon | 267,612 |
| 1,23(01) 009,06 | Oncorhynchus nerka | Sockeye (Red) salmon | 150,794 |
| 1,23(01) 009,08 | Oncorhynchus kisutch | Coho (Silver) salmon | 48,185 |
| 1,23(04) 002,01 | Mallotus villosus | Capelin | 2,215,527 |
| 1,32(11) 001,02 | Harpadon nehereus | Bombay duck | 119,229 |
| 1,38(01) xxx,xx | Characidae | Characins | 154,452 |
| 1,40(02) xxx,xx | Cyprinidae | Cyprinids nei | 186,018 |
| 1,40(02) 001,02 | Abramis brama | Freshwater bream | 58,020 |
| 1,40(02) 002,01 | Cyprinus carpio | common carp | 490,438 |
| 1,47(02) 001,01 | Cololabis saira | Pacific saury | 273,760 |
| 1,48(04) 002,02 | Gadus morhua | Atlantic cod | 1,947,291 |
| 1,48(04) 002,11 | Gadus macrocephalus | Pacific cod | 409,598 |
| 1,48(04) 010,01 | Melanogrammus aeglefinus | Haddock | 377,548 |
| 1,48(04) 015,01 | Pollachius virens | Saithe (pollock) | 504,948 |
| 1,48(04) 016,01 | Theragra chalcogramma | Alaska pollak | 6,132,334 |
| 1,48(04) 033,01 | Micromesistius poutassou | Blue whiting | 660,619 |
| 1,48(04) 033,02 | Micromesistius australis | Southern blue whiting | 106,199 |
| 1,48(04) 034,01 | Merlangius merlangus | whiting | 157,049 |
| 1,48(05) 004,xx | Merluccius capensis, paradoxus | Cape hakes | 541,815 |
| 1,48(05) 004,01 | Merluccius merluccius | European hake | 131,774 |
| 1,48(05) 004,04 | Merluccius bilinearis | Silver hake | 99,135 |
| 1,48(05) 004,05 | Merluccius gayi | Chilean hake | 47,064 |
| 1,48(05) 004,06 | Merluccius hubbsi | Argentine hake | 371,690 |
| 1,48(05) 004,07 | Merluccius productus | North Pacific hake | 99,297 |
| 1,65(01) xxx,xx | Mugilidae | Mullets nei | 162,348 |
| 1,65(01) 001,02 | Mugil cephalus | Flathead mullet | 47,734 |
| 1,70(01)167,07 | Lates niloticus | Nile perch | 152,568 |
| 1,70(23)004,xx | Trachurus spp | Jack and horse mackerels nei | 390,374 |
| 1,70(23)004,01 | Trachurus trachurus | Atlantic horse mackerel | 209,440 |
| 1,70(23)004,03 | Trachurus japonicus | Japanese jack mackerel | 173,775 |
| 1,70(23)004,05 | Trachurus murphyi | Chilean jack mackerel | 2,148,841 |
| 1,70(23)004,08 | Trachurus mediterraneus | Mediterranean horse mackerel | 120,319 |
| 1,70(23)004,13 | Trachurus capensis | Cape horse mackerel | 455,421 |
| 1,70(23)004,14 | Trachurus trecae | Cunene horse mackerel | 56,766 |
| 1,70(23)043,xx | Decapterus spp | Scads | 318,669 |
| 1,70(23)043,07 | Decapterus maruadsi | Japanese scad | 71,666 |
| 1,70(23)043,08 | Decapterus russelli | Indian (Russell's) scad | 55,201 |
| 1,70(23)044,xx | Caranx spp | Jacks, crevalles, nei | 102,318 |
| 1,70(23)048,xx | Seriola spp | Amberjacks nei | 42,035 |
| 1,70(23)048,02 | Seriola quinqueradiata | Japanese amberjack | 150,961 |
| 1,70(35)xxx,xx | Leiognathidae | Ponyfishes (slipmouths)nei | 159,471 |
| 1,70(39)xxx,xx | Sparidae | Dentex (Porgies), seabreams, etc nei | 102,866 |
| 1,70(39)121,08 | Chrysophrys major | silver seabream | 44,299 |
| 1,70(59)xxx,xx | Cichlidae | Cichlids nei | 101,805 |
| 1,70(59)052,xx | Sarotherodon, Tilapia spp | Tilapias nei | 278,837 |
| 1,74(03)001,01 | Thyrsites (= Leionura)atun | snoek | 57,669 |
| 1,74(04)xxx,xx | Trichiuridae | Hairtails, cutlassfishes | 119,796 |
| 1,74(04)003,02 | Trichiurus lepturus | Largehead hairtail | 710,280 |
| 1,75(01)002,01 | Scomber japonicus | chub mackerel | 1,739,889 |
| 1,75(01)002,05 | Scomber scombrus | Atlantic mackerel | 600,556 |
| 1,75(01)014,xx | Rastrelliger spp | Indian mackerels nei | 342,237 |
| 1,75(01)014,03 | Rastrelliger kanagurta | Indian mackerel | 176,824 |
| 1,75(01)015,xx | Scomberomorus spp | Seerfishes nei | 68,551 |
| 1,75(01)015,03 | Scomberomorus commerson | Narro-barred Spanish (king) mackerel | 114,316 |
| 1,75(01)015,12 | Scomberomorus niphonius | Japanes Spanish mackerel | 121,135 |
| 1,75(01)023,xx | Auxis thazard, rochei | Frigate and bullet tunas | 146,794 |
| 1,75(01)024,06 | Euthnnus affinis | Kawakawa | 92,597 |
| 1,75(01)025,01 | Katsuwonus pelamis | Skipjack tuna | 884,235 |
| 1,75(01)026,01 | Thunnus thynnus | Northern bluefin tuna | 36,993 |
| 1,75(01)026,05 | Thunnus alalunga | Albacore | 176,922 |
| 1,75(01)026,08 | Thunnus maccoyil | Southern bluefin tuna | 35,212 |
| 1,75(01)026,10 | Thunnus albacares | Yellowfin tuna | 713,293 |
| 1,75(01)026,12 | Thunnus obesus | Bigeye tuna | 243,653 |
| 1,78(01)xxx,xx | Scorpaenidae | Scorpionfishes, etc nei | 61,042 |
| 1,78(01)001,xx | Sebastes spp | Atlantic redfishes | 400,680 |
| 1,78(07)014,02 | Pleurogrammus azonus | Atka mackerel | 139,155 |
| 1,83(02)004,05 | Pleuronectes platessa | European plaice | 203,308 |
| 1,83(02)005,01 | Reinhardtius hippoglossoides | Greenland halibut | 80,236 |
| 1,83(02)014,01 | Hippoglossoides platessoides | American plaice (= Long rough dab) | 80,911 |
| 1,83(02)024,02 | Limanda aspera | Yellowfin sole | 203,149 |
| 1,89(03)xxx,xx | Balistidae | Triggerfishes, durgons | 39,746 |
| 1,89(03)004,xx | Cantherines (= Navodon) spp | Filefishes | 272,979 |
| 1,89(03)010,01 | Stephanolepis cirrhifer | Threadsail filefish | 256,529 |
| 2,28(01)001,xx | Penaeus spp | Penaeus shrimps nei | 412,879 |
| 2,28(01)001,01 | Penaeus aztecus | Northern brown shrimp | 70,858 |
| 2,28(01)001,03 | Penaeus merguiensis | Banana prawn | 61,421 |
| 2,28(01)001,22 | Penaeus setiferus | Northern white shrimp | 44,596 |
| 2,28(04)002,03 | Pandalus borealis | Northern prawn | 193,191 |
| 2,28(07)009,03 | Acetes japonicus | Akiami paste shrimp | 222,608 |
| 3,16(07)008,xx | Crassostrea spp | Cupped oysters nei | 168,024 |
| 3,16(07)008,01 | Crassostrea gigas | Pacific cupped oyster | 562,866 |
| 3,16(07)008,03 | Crassostrea virginica | American cupped oyster | 271,925 |
| 3,16(08)xxx,xx | Pectinidae | Scallops nei | 75,191 |
| 3,16(08)003,07 | Pecten yessoensis | Japanese scallop | 229,924 |
| 3,16(08)003,09 | Pecten maximus | Common scallop | 20,224 |
| 3,16(08)014,04 | Placopecten magellanicus | Sea scallop | 104,929 |
| 3,16(08)030,01 | Argopecten gibbus | Calico scallop | 125,609 |
| 3,16(10)xxx,xx | Mytilidae | Sea mussels nei | 135,454 |
| 3,16(10)001,05 | Mytilus edulis | Blue mussel | 554,756 |
| 3,16(10)001,10 | Mytilus smaragdinus | Green mussel | 61,623 |
| 3,17(04)045,01 | Arctica islandica | Ocean guahog | 195,173 |
| 3,17(10)020,01 | Spisula solidissima | Surf clam | 182,834 |
| 3,17(11)004,05 | Venus gallina | Striped venus | 27,348 |
| 3,17(11)018,01 | Venerupis japonica | Japanese(= Manila) clam | 166,134 |
| 3,17(11)041,xx | Paphia spp | Short neck clams | 86,060 |
| 3,17(11)075,01 | Mercenaria mercenaria | Hard clam | 32,460 |
| 3,17(21)025,02 | Corbicula japonica | Japanese clam | 53,873 |
| 3,21(02)xxx,xx | Sepia spp, Sepiola spp | Cuttlefishes, bobtail squids | 214,642 |
| 3,21(04)001,xx | Loligo spp | Common squide | 119,570 |
| 3,21(05)010,03 | Illex argentinus | Argentine shortfin squid | 43,706 |
| 3,21(05)058,03 | Todarodes pacificus | Japanese flying squid | 192,466 |
| 3,21(09)xxx,xx | Octopodiade | Octopuses | 210,102 |
| 3,21 | Loliginidae, Ommastrephidae | Squids nei | 852,553 |
| 3,99 | Bivalvia | Clams nei | 648,774 |
| 6,17(41)007,xx | Rhopilema spp | Jellyfishes | 63,700 |
Source: FAO Yearbook of Fishery Statistics, Catches and Landings, Volume 64
