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Demersal Fish — Stock Variation in Botswana

Botswana: Demersal Fish — Stock Variation was 0 1000 t in 2019. ▬ Flat

Latest (2019)
0 1000 t
World rank
1st
of 93 countries
All-time high
0 1000 t
in 2010
All-time low
0 1000 t
in 2010
Years of data
10
2010–2019

Demersal Fish — Stock Variation in Botswana, 2010–2019

00.20.40.60.812010201420192010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: 0 1000 t2014: 0 1000 t2015: 0 1000 t2016: 0 1000 t2017: 0 1000 t2018: 0 1000 t2019: 0 1000 t

Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.

Analysis

Botswana recorded 0 1000 t for demersal fish — stock variation in 2019. That is the highest value across all 10 years on record.

Over the whole period, demersal fish — stock variation in Botswana peaked at 0 1000 t in 2010 and was at its lowest, 0 1000 t, in 2010.

That places Botswana 1st out of 93 countries with data for 2019, putting it in the top 10%.

Countries ranked near Botswana

  1. 1 Tonga 0 1000 t
  2. 1 Qatar 0 1000 t
  3. 1 Bahrain 0 1000 t
  4. 1 Kiribati 0 1000 t compare
  5. 1 Guinea-Bissau 0 1000 t compare
  6. 1 Micronesia 0 1000 t compare
  7. 1 China, Macao SAR 0 1000 t compare
  8. 1 Mauritania 0 1000 t compare
  9. 1 Mongolia 0 1000 t compare
  10. 1 Saint Kitts and Nevis 0 1000 t compare
  11. 1 Libya 0 1000 t compare
  12. 1 Solomon Islands 0 1000 t compare
  13. 1 Albania 0 1000 t compare
  14. 1 Suriname 0 1000 t compare
  15. 1 Kuwait 0 1000 t compare
  16. 1 Maldives 0 1000 t compare
  17. 1 Vanuatu 0 1000 t compare
  18. 1 Gabon 0 1000 t compare
  19. 1 Saint Vincent and the Grenadines 0 1000 t compare
  20. 1 Cabo Verde 0 1000 t compare
  21. 1 Guyana 0 1000 t compare
  22. 1 Congo 0 1000 t compare
  23. 1 Azerbaijan 0 1000 t compare
  24. 1 Oman 0 1000 t compare
  25. 1 Seychelles 0 1000 t compare
  26. 1 Iceland 0 1000 t compare
  27. 1 Namibia 0 1000 t compare
  28. 1 Estonia 0 1000 t compare
  29. 1 New Caledonia 0 1000 t compare
  30. 1 Bahamas 0 1000 t compare
  31. 1 Lithuania 0 1000 t compare
  32. 1 Finland 0 1000 t compare
  33. 1 Uruguay 0 1000 t compare
  34. 1 Belarus 0 1000 t compare
  35. 1 Myanmar 0 1000 t compare
  36. 1 Chile 0 1000 t compare
  37. 1 Tunisia 0 1000 t compare
  38. 1 Latvia 0 1000 t compare
  39. 1 Antigua and Barbuda 0 1000 t compare
  40. 1 Norway 0 1000 t compare
  41. 1 Malawi 0 1000 t compare
  42. 1 Argentina 0 1000 t compare
  43. 1 Panama 0 1000 t compare
  44. 1 Bulgaria 0 1000 t compare
  45. 1 Ireland 0 1000 t compare
  46. 1 Switzerland 0 1000 t compare
  47. 1 El Salvador 0 1000 t compare
  48. 1 Belize 0 1000 t compare
  49. 1 Mauritius 0 1000 t compare
  50. 1 Belgium 0 1000 t compare
  51. 1 United Arab Emirates 0 1000 t compare
  52. 1 Jamaica 0 1000 t compare
  53. 1 Russian Federation 0 1000 t compare
  54. 1 Canada 0 1000 t compare
  55. 1 Portugal 0 1000 t compare
  56. 1 Poland 0 1000 t compare
  57. 1 Senegal 0 1000 t compare
  58. 1 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  59. 1 Türkiye 0 1000 t compare
  60. 1 New Zealand 0 1000 t compare
  61. 1 Malta 0 1000 t compare
  62. 1 Trinidad and Tobago 0 1000 t compare
  63. 1 Sweden 0 1000 t compare
  64. 1 Malaysia 0 1000 t compare
  65. 1 Ecuador 0 1000 t compare
  66. 1 Kazakhstan 0 1000 t compare
  67. 1 China, Taiwan Province of 0 1000 t compare
  68. 1 France 0 1000 t compare
  69. 1 Nigeria 0 1000 t compare
  70. 1 Polynesia 0 1000 t
  71. 1 Republic of Korea 0 1000 t compare
  72. 1 Pakistan 0 1000 t compare
  73. 1 Germany 0 1000 t compare
  74. 1 Italy 0 1000 t compare
  75. 1 India 0 1000 t compare
  76. 1 Costa Rica 0 1000 t compare
  77. 1 Brazil 0 1000 t compare
  78. 1 Honduras 0 1000 t compare
  79. 1 Spain 0 1000 t compare
  80. 1 Peru 0 1000 t compare
  81. 1 United Republic of Tanzania 0 1000 t compare
  82. 1 Thailand 0 1000 t compare
  83. 1 Mexico 0 1000 t compare
  84. 1 China, mainland 0 1000 t compare
  85. 1 Australia and New Zealand 0 1000 t compare
  86. 1 Guatemala 0 1000 t compare
  87. 1 Indonesia 0 1000 t compare
  88. 1 Melanesia 0 1000 t compare
  89. 1 China 0 1000 t compare
  90. 1 Caribbean 0 1000 t compare

See the full ranking of 124 places →

More agriculture & rural data for Botswana

All data for Botswana →

Frequently asked questions

What is demersal fish — stock variation in Botswana?
Demersal fish — stock variation in Botswana was 0 1000 t in 2019, according to Food and Agriculture Organization of the United Nations.
What is the highest demersal fish — stock variation recorded in Botswana?
The highest recorded value was 0 1000 t in 2010.
What is the lowest demersal fish — stock variation recorded in Botswana?
The lowest recorded value was 0 1000 t in 2010.
How does Botswana rank for demersal fish — stock variation?
Botswana ranks 1st out of 93 countries with data for 2019.
Where does this Botswana data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Demersal Fish — Stock Variation. Statizoid updates them automatically from the source API.

Download this data

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About this data

Indicator
Demersal Fish — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
124 places, 1,685 data points, 2010–2023
Last refreshed

A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.