{"id": 1007613, "name": "Estimated number of farmed fish (upper bound)", "unit": "fish", "createdAt": "2025-01-23T09:23:20.000Z", "updatedAt": "2025-03-14T15:14:41.000Z", "coverage": "", "timespan": "1990-2022", "datasetId": 6906, "shortUnit": "", "columnOrder": 0, "shortName": "n_farmed_fish_high", "catalogPath": "grapher/animal_welfare/2024-12-12/number_of_farmed_fish/number_of_farmed_fish#n_farmed_fish_high", "descriptionShort": "Upper bound estimate of the annual number of farmed fish slaughtered for food.", "licenses": "[{\"url\": \"https://s100.copyright.com/AppDispatchServlet?publisherName=CUP&publication=AWF&title=Estimating%20global%20numbers%20of%20farmed%20fishes%20killed%20for%20food%20annually%20from%201990%20to%202019&publicationDate=06%20February%202023&author=Alison%20Mood%2C%20Elena%20Lara%2C%20Natasha%20K%20Boyland%2C%20Phil%20Brooke&copyright=%C2%A9%20The%20Author(s)%2C%202023.%20Published%20by%20Cambridge%20University%20Press%20on%20behalf%20of%20The%20Universities%20Federation%20for%20Animal%20Welfare&contentID=10.1017%2Fawf.2023.4&startPage=&endPage=&orderBeanReset=True&volumeNum=32&issueNum=&oa=CC-BY\", \"name\": \"CC BY\"}, {\"url\": \"https://fishcount.org.uk/estimates/farmedfishes/data01/fishcount_global_farmed_fish_estimate.php\", \"name\": \"CC BY 4.0\"}]", "type": "int", "grapherConfigIdETL": "01949279-2411-7559-94a7-611ac28857c1", "dataChecksum": "2380732264610007812", "metadataChecksum": "1868105919607982480", "datasetName": "Number of farmed fish killed for food", "datasetVersion": "2024-12-12", "nonRedistributable": false, "display": {"name": "Upper estimate", "unit": "fish", "numSignificantFigures": 2}, "schemaVersion": 2, "processingLevel": "minor", "presentation": {"titlePublic": "Estimated number of farmed fish (upper bound)", "attribution": "Fishcount (2024)", "topicTagsLinks": ["Animal Welfare", "Fish & Overfishing"]}, "descriptionKey": ["This indicator uses data on aquaculture production tonnages and mean weights estimated from available fish size data.", "Note that this study does not include:\n- Non-fish species, e.g. lobsters.\n- Fish deaths arising in fish farms prior to harvest, in the capture of wild fish for feed or re-stocking, or from environmental impacts on surrounding wildlife.\n- Fish farmed for use as bait, whose small production tonnages may comprise large numbers of fish due to their very small size of just a few grams.\n"], "dimensions": {"years": {"values": [{"id": 2020}, {"id": 2021}, {"id": 2022}, {"id": 1990}, {"id": 1991}, {"id": 1992}, {"id": 1993}, {"id": 1994}, {"id": 1995}, {"id": 1996}, {"id": 1997}, {"id": 1998}, {"id": 1999}, {"id": 2000}, {"id": 2001}, {"id": 2002}, {"id": 2003}, {"id": 2004}, {"id": 2005}, {"id": 2006}, {"id": 2007}, {"id": 2008}, {"id": 2009}, {"id": 2010}, {"id": 2011}, {"id": 2012}, {"id": 2013}, {"id": 2014}, {"id": 2015}, {"id": 2016}, {"id": 2017}, {"id": 2018}, {"id": 2019}]}, "entities": {"values": [{"id": 15, "name": "Afghanistan", "code": "AFG"}, {"id": 273, "name": "Africa", "code": null}, {"id": 16, "name": "Albania", "code": "ALB"}, {"id": 17, "name": "Algeria", "code": "DZA"}, {"id": 246, "name": "American Samoa", "code": "ASM"}, {"id": 19, "name": "Angola", "code": "AGO"}, {"id": 20, "name": "Antigua and Barbuda", "code": "ATG"}, {"id": 21, "name": "Argentina", "code": "ARG"}, {"id": 22, "name": "Armenia", "code": "ARM"}, {"id": 219, "name": "Aruba", "code": "ABW"}, {"id": 275, "name": "Asia", "code": null}, {"id": 23, "name": "Australia", "code": "AUS"}, {"id": 24, "name": "Austria", "code": "AUT"}, {"id": 25, "name": "Azerbaijan", "code": "AZE"}, {"id": 26, "name": "Bahamas", "code": "BHS"}, {"id": 27, "name": "Bahrain", "code": "BHR"}, {"id": 28, "name": "Bangladesh", "code": "BGD"}, {"id": 29, "name": "Barbados", "code": "BRB"}, {"id": 30, "name": "Belarus", "code": "BLR"}, {"id": 4, "name": "Belgium", "code": "BEL"}, {"id": 31, "name": "Belize", "code": "BLZ"}, {"id": 32, "name": "Benin", "code": "BEN"}, {"id": 33, "name": "Bhutan", "code": "BTN"}, {"id": 34, "name": "Bolivia", "code": "BOL"}, {"id": 348, "name": "Bonaire Sint Eustatius and Saba", "code": "BES"}, {"id": 35, "name": "Bosnia and Herzegovina", "code": "BIH"}, {"id": 36, "name": "Botswana", "code": "BWA"}, {"id": 37, "name": "Brazil", "code": "BRA"}, {"id": 38, "name": "Brunei", "code": "BRN"}, {"id": 39, "name": "Bulgaria", "code": "BGR"}, {"id": 40, "name": "Burkina Faso", "code": "BFA"}, {"id": 41, "name": "Burundi", "code": "BDI"}, {"id": 42, "name": "Cambodia", "code": "KHM"}, {"id": 43, "name": "Cameroon", "code": "CMR"}, {"id": 44, "name": "Canada", "code": "CAN"}, {"id": 174, "name": "Central African Republic", "code": "CAF"}, {"id": 173, "name": "Chad", "code": "TCD"}, {"id": 172, "name": "Chile", "code": "CHL"}, {"id": 171, "name": "China", "code": "CHN"}, {"id": 170, "name": "Colombia", "code": "COL"}, {"id": 168, "name": "Congo", "code": "COG"}, {"id": 199, "name": "Cook Islands", "code": "COK"}, {"id": 166, "name": "Costa Rica", "code": "CRI"}, {"id": 143, "name": "Cote d'Ivoire", "code": "CIV"}, {"id": 165, "name": "Croatia", "code": "HRV"}, {"id": 164, "name": "Cuba", "code": "CUB"}, {"id": 163, "name": "Cyprus", "code": "CYP"}, {"id": 162, "name": "Czechia", "code": "CZE"}, {"id": 167, "name": "Democratic Republic of Congo", "code": "COD"}, {"id": 161, "name": "Denmark", "code": "DNK"}, {"id": 160, "name": "Dominican Republic", "code": "DOM"}, {"id": 225, "name": "East Timor", "code": "TLS"}, {"id": 201, "name": "Ecuador", "code": "ECU"}, {"id": 65, "name": "Egypt", "code": "EGY"}, {"id": 259, "name": "El Salvador", "code": "SLV"}, {"id": 159, "name": "Equatorial Guinea", "code": "GNQ"}, {"id": 157, "name": "Eritrea", "code": "ERI"}, {"id": 156, "name": "Estonia", "code": "EST"}, {"id": 78, "name": "Eswatini", "code": "SWZ"}, {"id": 158, "name": "Ethiopia", "code": "ETH"}, {"id": 276, "name": "Europe", "code": null}, {"id": 115117, "name": "European Union (27)", "code": null}, {"id": 250, "name": "Faroe Islands", "code": "FRO"}, {"id": 202, "name": "Fiji", "code": "FJI"}, {"id": 155, "name": "Finland", "code": "FIN"}, {"id": 3, "name": "France", "code": "FRA"}, {"id": 253, "name": "French Guiana", "code": "GUF"}, {"id": 203, "name": "French Polynesia", "code": "PYF"}, {"id": 153, "name": "Gabon", "code": "GAB"}, {"id": 151, "name": "Gambia", "code": "GMB"}, {"id": 152, "name": "Georgia", "code": "GEO"}, {"id": 6, "name": "Germany", "code": "DEU"}, {"id": 150, "name": "Ghana", "code": "GHA"}, {"id": 149, "name": "Greece", "code": "GRC"}, {"id": 206, "name": "Grenada", "code": "GRD"}, {"id": 252, "name": "Guadeloupe", "code": "GLP"}, {"id": 254, "name": "Guam", "code": "GUM"}, {"id": 148, "name": "Guatemala", "code": "GTM"}, {"id": 147, "name": "Guinea", "code": "GIN"}, {"id": 94, "name": "Guinea-Bissau", "code": "GNB"}, {"id": 146, "name": "Guyana", "code": "GUY"}, {"id": 145, "name": "Haiti", "code": "HTI"}, {"id": 457, "name": "High-income countries", "code": null}, {"id": 139, "name": "Honduras", "code": "HND"}, {"id": 144, "name": "Hong Kong", "code": "HKG"}, {"id": 138, "name": "Hungary", "code": "HUN"}, {"id": 207, "name": "Iceland", "code": "ISL"}, {"id": 137, "name": "India", "code": "IND"}, {"id": 136, "name": "Indonesia", "code": "IDN"}, {"id": 135, "name": "Iran", "code": "IRN"}, {"id": 134, "name": "Iraq", "code": "IRQ"}, {"id": 2, "name": "Ireland", "code": "IRL"}, {"id": 133, "name": "Israel", "code": "ISR"}, {"id": 8, "name": "Italy", "code": "ITA"}, {"id": 132, "name": "Jamaica", "code": "JAM"}, {"id": 14, "name": "Japan", "code": "JPN"}, {"id": 130, "name": "Jordan", "code": "JOR"}, {"id": 131, "name": "Kazakhstan", "code": "KAZ"}, {"id": 129, "name": "Kenya", "code": "KEN"}, {"id": 204, "name": "Kiribati", "code": "KIR"}, {"id": 208, "name": "Kuwait", "code": "KWT"}, {"id": 126, "name": "Kyrgyzstan", "code": "KGZ"}, {"id": 125, "name": "Laos", "code": "LAO"}, {"id": 122, "name": "Latvia", "code": "LVA"}, {"id": 124, "name": "Lebanon", "code": "LBN"}, {"id": 123, "name": "Lesotho", "code": "LSO"}, {"id": 121, "name": "Liberia", "code": "LBR"}, {"id": 120, "name": "Libya", "code": "LBY"}, {"id": 119, "name": "Lithuania", "code": "LTU"}, {"id": 461, "name": "Low-income countries", "code": null}, {"id": 460, "name": "Lower-middle-income countries", "code": null}, {"id": 118, "name": "Madagascar", "code": "MDG"}, {"id": 117, "name": "Malawi", "code": "MWI"}, {"id": 116, "name": "Malaysia", "code": "MYS"}, {"id": 115, "name": "Mali", "code": "MLI"}, {"id": 212, "name": "Malta", "code": "MLT"}, {"id": 223, "name": "Marshall Islands", "code": "MHL"}, {"id": 284, "name": "Martinique", "code": "MTQ"}, {"id": 213, "name": "Mauritius", "code": "MUS"}, {"id": 113, "name": "Mexico", "code": "MEX"}, {"id": 111, "name": "Moldova", "code": "MDA"}, {"id": 215, "name": "Montenegro", "code": "MNE"}, {"id": 110, "name": "Morocco", "code": "MAR"}, {"id": 109, "name": "Mozambique", "code": "MOZ"}, {"id": 142, "name": "Myanmar", "code": "MMR"}, {"id": 108, "name": "Namibia", "code": "NAM"}, {"id": 218, "name": "Nauru", "code": "NRU"}, {"id": 107, "name": "Nepal", "code": "NPL"}, {"id": 5, "name": "Netherlands", "code": "NLD"}, {"id": 220, "name": "New Caledonia", "code": "NCL"}, {"id": 106, "name": "New Zealand", "code": "NZL"}, {"id": 105, "name": "Nicaragua", "code": "NIC"}, {"id": 104, "name": "Niger", "code": "NER"}, {"id": 103, "name": "Nigeria", "code": "NGA"}, {"id": 294, "name": "North America", "code": null}, {"id": 128, "name": "North Korea", "code": "PRK"}, {"id": 66, "name": "North Macedonia", "code": "MKD"}, {"id": 266, "name": "Northern Mariana Islands", "code": "MNP"}, {"id": 102, "name": "Norway", "code": "NOR"}, {"id": 277, "name": "Oceania", "code": null}, {"id": 217, "name": "Oman", "code": "OMN"}, {"id": 101, "name": "Pakistan", "code": "PAK"}, {"id": 224, "name": "Palau", "code": "PLW"}, {"id": 140, "name": "Palestine", "code": "PSE"}, {"id": 100, "name": "Panama", "code": "PAN"}, {"id": 99, "name": "Papua New Guinea", "code": "PNG"}, {"id": 98, "name": "Paraguay", "code": "PRY"}, {"id": 97, "name": "Peru", "code": "PER"}, {"id": 96, "name": "Philippines", "code": "PHL"}, {"id": 11, "name": "Poland", "code": "POL"}, {"id": 95, "name": "Portugal", "code": "PRT"}, {"id": 93, "name": "Puerto Rico", "code": "PRI"}, {"id": 226, "name": "Qatar", "code": "QAT"}, {"id": 245, "name": "Reunion", "code": "REU"}, {"id": 92, "name": "Romania", "code": "ROU"}, {"id": 12, "name": "Russia", "code": "RUS"}, {"id": 91, "name": "Rwanda", "code": "RWA"}, {"id": 227, "name": "Saint Kitts and Nevis", "code": "KNA"}, {"id": 229, "name": "Saint Lucia", "code": "LCA"}, {"id": 239, "name": "Samoa", "code": "WSM"}, {"id": 90, "name": "Saudi Arabia", "code": "SAU"}, {"id": 89, "name": "Senegal", "code": "SEN"}, {"id": 88, "name": "Serbia", "code": "SRB"}, {"id": 87, "name": "Sierra Leone", "code": "SLE"}, {"id": 86, "name": "Singapore", "code": "SGP"}, {"id": 85, "name": "Slovakia", "code": "SVK"}, {"id": 83, "name": "Slovenia", "code": "SVN"}, {"id": 195, "name": "Solomon Islands", "code": "SLB"}, {"id": 81, "name": "South Africa", "code": "ZAF"}, {"id": 295, "name": "South America", "code": null}, {"id": 127, "name": "South Korea", "code": "KOR"}, {"id": 258, "name": "South Sudan", "code": "SSD"}, {"id": 9, "name": "Spain", "code": "ESP"}, {"id": 141, "name": "Sri Lanka", "code": "LKA"}, {"id": 79, "name": "Sudan", "code": "SDN"}, {"id": 234, "name": "Suriname", "code": "SUR"}, {"id": 10, "name": "Sweden", "code": "SWE"}, {"id": 7, "name": "Switzerland", "code": "CHE"}, {"id": 77, "name": "Syria", "code": "SYR"}, {"id": 198, "name": "Taiwan", "code": "TWN"}, {"id": 76, "name": "Tajikistan", "code": "TJK"}, {"id": 64, "name": "Tanzania", "code": "TZA"}, {"id": 75, "name": "Thailand", "code": "THA"}, {"id": 74, "name": "Togo", "code": "TGO"}, {"id": 73, "name": "Trinidad and Tobago", "code": "TTO"}, {"id": 71, "name": "Tunisia", "code": "TUN"}, {"id": 70, "name": "Turkey", "code": "TUR"}, {"id": 69, "name": "Turkmenistan", "code": "TKM"}, {"id": 237, "name": "Tuvalu", "code": "TUV"}, {"id": 68, "name": "Uganda", "code": "UGA"}, {"id": 67, "name": "Ukraine", "code": "UKR"}, {"id": 72, "name": "United Arab Emirates", "code": "ARE"}, {"id": 1, "name": "United Kingdom", "code": "GBR"}, {"id": 13, "name": "United States", "code": "USA"}, {"id": 256, "name": "United States Virgin Islands", "code": "VIR"}, {"id": 459, "name": "Upper-middle-income countries", "code": null}, {"id": 63, "name": "Uruguay", "code": "URY"}, {"id": 62, "name": "Uzbekistan", "code": "UZB"}, {"id": 221, "name": "Vanuatu", "code": "VUT"}, {"id": 238, "name": "Venezuela", "code": "VEN"}, {"id": 84, "name": "Vietnam", "code": "VNM"}, {"id": 355, "name": "World", "code": "OWID_WRL"}, {"id": 61, "name": "Yemen", "code": "YEM"}, {"id": 60, "name": "Zambia", "code": "ZMB"}, {"id": 80, "name": "Zimbabwe", "code": "ZWE"}]}}, "origins": [{"id": 2390, "title": "Number of farmed fish killed for food worldwide", "description": "Global farmed finfish production increased from 9 to 56 million tonnes between 1990 and 2019. Although finfishes are now widely recognised as sentient beings, production is still being quantified as biomass rather than number of individuals (in contrast to farmed mammals and birds). Here, we estimate the global number of farmed finfishes slaughtered using FAO aquaculture production tonnages (1990-2019 data) and estimates of individual weight at killing (determined from internet searches at species and country level where possible). We relate these numbers to knowledge on humane slaughter, animal welfare law, and certification schemes. Since 1990, farmed finfish numbers killed annually for food have increased nine-fold, to 124 billion (1.24 x 1011, range 78-171 billion) in 2019. This figure does not represent the total number farmed (due to mortalities during rearing and non-food production) and is expected to increase as aquaculture expands. Our estimates indicate that farmed finfishes now outnumber the 80 billion farmed birds and mammals killed globally each year for food. The majority are produced in Asia. Inhumane slaughter practices cause suffering for most farmed finfishes. Most, 70-72%, have no legal welfare protection, and less than 1% have any fish-specific legal protection, at slaughter. The main global certification schemes in 2013-2015 accounted for 2% of slaughtered farmed finfishes. Fishes for which species-specific parameters for automated humane stunning are published comprise 20-24%. As the dominant taxa of farmed vertebrates, finfishes would benefit from better welfare if species-specific humane slaughter was defined and incorporated into laws and certification schemes.", "producer": "Mood et al.", "citationFull": "Mood, A., Lara, E., Boyland, N., & Brooke, P. (2023). Estimating global numbers of farmed fishes killed for food annually from 1990 to 2019. Animal Welfare, 32, E12. doi:10.1017/awf.2023.4", "urlMain": "https://www.cambridge.org/core/journals/animal-welfare/article/estimating-global-numbers-of-farmed-fishes-killed-for-food-annually-from-1990-to-2019/765A7CCA23ADA0249EF37CFC5014D351", "urlDownload": "https://static.cambridge.org/content/id/urn:cambridge.org:id:article:S0962728623000040/resource/name/S0962728623000040sup001.zip", "dateAccessed": "2024-12-12", "datePublished": "2023-02-06"}, {"id": 2391, "titleSnapshot": "Estimated farmed finfish numbers (2020 onwards)", "title": "Estimated farmed finfish numbers", "descriptionSnapshot": "Estimated number of individual fish in annual aquaculture production from 2020.", "producer": "Fishcount", "citationFull": "Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. Estimated farmed finfish numbers from 2020 by A Mood & P Brooke (2024).", "urlMain": "http://fishcount.org.uk/", "dateAccessed": "2024-12-12", "datePublished": "2024"}]}