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[Agriculture] Food self-sufficiency ratio (calorie-based)
[Agriculture] Agriculture, forestry and fishing, value added per worker (constant 2015 US$)
[Agriculture] Agriculture, forestry, and fishing, value added (million US$)
[Agriculture] Agriculture, forestry, and fishing, value added (% of GDP)
[Agriculture] Employment in agriculture (% of total employment)
[Agriculture] Producer support estimates, as % of gross farm receipts
[Cereal, Starchy Roots, Sugar & Sweeteners] Cereals - Excluding Beer, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Wheat and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Rice and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Barley and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Maize and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Oat, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Millet and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Starchy Roots, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Potatoes and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Sweet Potatoes, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Sugar & Sweeteners, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Sugar (Raw Equivalent), food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Honey, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Pulses, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Beans, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Peas, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Soyabeans, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Nuts and products, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Groundnuts, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Coconuts - Incl Copra, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Sesame seed, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Olives (including preserved), food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Vegetable Oils, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Soyabean Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Groundnut Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Sunflowerseed Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Rape and Mustard Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Palm Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Coconut Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Olive Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Maize Germ Oil, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Vegetables, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Tomatoes and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Onions, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Fruits - Excluding Wine, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Oranges, Mandarines, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Lemons, Limes and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Grapefruit and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Bananas, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Apples and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Pineapples and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Dates, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Grapes and products (excl wine), food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Spices, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Pepper, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Pimento, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Stimulants, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Coffee and products, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Tea (including mate), food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Alcoholic Beverages, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Total alcohol per capita (??15 years of age) consumptionl (litres of pure alcohol)
[Stimulants, Alcoholic Beverages] % of those who often drink 4 or more alcoholic drinks on the same day
[Stimulants, Alcoholic Beverages] Wine, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Beer, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Fermented beverages, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Meat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Bovine Meat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Mutton & Goat Meat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Pigmeat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Poultry Meat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Offals, Edible, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Butter, Ghee, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Animal Fats, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Eggs, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Milk (Excluding Butter), food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Fish, Seafood, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Freshwater Fish, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Demersal Fish, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Pelagic Fish, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Crustaceans, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Cephalopods, food supply quantity (kg/capita/year)
[Eating behaviors] % of those who eat fresh fruit or vegetables every day
[Eating behaviors] % of those who refuse to eat meat for moral or environmental reasons at least sometimes
[Eating behaviors] % of those who often try to buy fruits and vegetables grown without pesticides or chemicals
[Eating behaviors] % of people who take special food on their business trip
Period:
2019
Area:
World
\n
Major advanced countries
\n
Nordic and major advanced countries
\n
OECD members
\n
EU27
\n
EU+Japan
\n
Europe
\n
ASIA
\n
TPP
\n
Latin America
\n
Africa
\n
74 countries/ areas
Highlight:
(No highlight)
Japan
Nordic and Japan
----------
Afghanistan
Angola
Antigua and Barbuda
Bangladesh
Benin
Bolivia
Botswana
Burkina Faso
Burundi
Cambodia
Cameroon
Central African Republic
Chad
China
Democratic Republic of Congo
Cote dIvoire
Djibouti
Egypt
Ethiopia
Gambia
Germany
Ghana
Guinea
Guinea-Bissau
Honduras
India
Indonesia
Jamaica
Japan
Kazakhstan
Kenya
North Korea
Republic of Korea
Lesotho
Liberia
Macao, China
Madagascar
Malawi
Maldives
Mali
Mauritania
Montenegro
Morocco
Mozambique
Myanmar (Burma)
Namibia
Nepal
New Caledonia
Niger
Nigeria
Pakistan
Papua New Guinea
Paraguay
Portugal
Russian Federation
Rwanda
Saudi Arabia
Senegal
Sierra Leone
South Africa
Sri Lanka
Sudan
Switzerland
Syrian Arab Republic
Taiwan
Tanzania
Togo
Tunisia
Uganda
Ukraine
Vanuatu
Yemen
Zambia
Zimbabwe
1
Niger
100.10
2
Mali
63.31
3
Burkina Faso
43.93
4
Chad
37.88
5
Senegal
24.55
6
Sudan
19.46
7
Namibia
18.40
8
Gambia
11.30
9
Nepal
10.08
10
Ethiopia
7.98
11
Guinea-Bissau
7.66
12
India
6.61
13
Nigeria
6.03
14
Ghana
4.73
15
Sierra Leone
4.23
16
Cameroon
3.62
17
Uganda
2.94
18
Tanzania
2.77
19
Togo
2.50
20
Central African Republic
1.89
21
North Korea
1.80
22
Malawi
1.65
23
Yemen
1.60
24
Kenya
1.57
25
Cote dIvoire
1.51
26
Benin
1.34
27
Zimbabwe
1.23
28
Angola
1.22
29
Russian Federation
1.10
30
Mozambique
0.89
31
Guinea
0.76
31
Pakistan
0.76
33
China
0.73
34
Saudi Arabia
0.50
35
Mauritania
0.49
36
Rwanda
0.41
37
Kazakhstan
0.39
38
Zambia
0.37
39
Botswana
0.35
40
Myanmar (Burma)
0.33
41
Democratic Republic of Congo
0.32
42
New Caledonia
0.31
43
Sri Lanka
0.21
44
Burundi
0.17
44
Republic of Korea
0.17
46
Afghanistan
0.16
47
Morocco
0.15
48
Taiwan
0.14
49
Germany
0.12
50
Maldives
0.11
51
Syrian Arab Republic
0.08
52
Indonesia
0.06
52
South Africa
0.06
54
Bangladesh
0.05
54
Japan
0.05
56
Tunisia
0.04
57
Liberia
0.02
58
Montenegro
0.01
59
Antigua and Barbuda
0.00
59
Bolivia
0.00
59
Cambodia
0.00
59
Djibouti
0.00
59
Egypt
0.00
59
Honduras
0.00
59
Jamaica
0.00
59
Lesotho
0.00
59
Macao, China
0.00
59
Madagascar
0.00
59
Papua New Guinea
0.00
59
Paraguay
0.00
59
Portugal
0.00
59
Switzerland
0.00
59
Ukraine
0.00
59
Vanuatu
0.00
No data for 164 countries.
Albania/ Algeria/ American Samoa/ Andorra/ Anguilla/ Argentina/ Armenia/ Aruba/ Australia/ Austria/ Azerbaijan/ Bahamas/ Bahrain/ Barbados/ Belarus/ Belgium/ Belize/ Bermuda/ Bhutan/ Bosnia and Herzegovina/ Brazil/ British Virgin Islands/ Brunei Darussalam/ Bulgaria/ Canada/ Cape Verde/ Cayman Islands/ Channel Islands/ Chile/ Colombia/ Comoros/ Republic of Congo/ Cook Islands/ Costa Rica/ Croatia/ Cuba/ Curacao/ Cyprus/ Czech Republic/ Denmark/ Dominica/ Dominican Republic/ Ecuador/ El Salvador/ Equatorial Guinea/ Eritrea/ Estonia/ Eswatini/ Faeroe Islands/ Falkland Islands (Malvinas)/ Fiji/ Finland/ France/ French Guiana/ French Polynesia/ Gabon/ Georgia/ Gibraltar/ Greece/ Greenland/ Grenada/ Guadeloupe/ Guam/ Guatemala/ Guernsey/ Guyana/ Haiti/ Holy See (Vatican City)/ Hong Kong, China/ Hungary/ Iceland/ Iran/ Iraq/ Ireland/ Israel/ Italy/ Jersey/ Jordan/ Kiribati/ Kosovo/ Kuwait/ Kyrgyzstan/ Laos/ Latvia/ Lebanon/ Libya/ Liechtenstein/ Lithuania/ Luxembourg/ North Macedonia/ Malaysia/ Malta/ Man, Isle of/ Marshall Islands/ Martinique/ Mauritius/ Mayotte/ Mexico/ Micronesia, Federated States of/ Moldova/ Monaco/ Mongolia/ Montserrat/ Nauru/ Netherlands/ Netherlands Antilles/ New Zealand/ Nicaragua/ Niue/ Northern Mariana Islands/ Norway/ Oman/ Palau/ Palestinian Territory/ Panama/ Peru/ Philippines/ Pitcairn/ Poland/ Puerto Rico/ Qatar/ Reunion/ Romania/ St. Helena/ St. Kitts and Nevis/ St. Lucia/ St. Martin (French part)/ St. Pierre et Miquelon/ St. Vincent and the Grenadines/ Samoa/ San Marino/ Sao Tome and Principe/ Serbia/ Seychelles/ Singapore/ Sint Maarten (Dutch part)/ Slovakia/ Slovenia/ Solomon Islands/ Somalia/ South Sudan/ Spain/ Suriname/ Sweden/ Tajikistan/ Thailand/ Timor-Leste/ Tokelau/ Tonga/ Trinidad and Tobago/ Turkiye/ Turkmenistan/ Turks and Caicos Islands/ Tuvalu/ United Arab Emirates/ United Kingdom/ United States/ Uruguay/ Uzbekistan/ Venezuela/ Viet Nam/ Virgin Islands/ Wallis and Futuna Islands/ Western Sahara
Source
Food and Agriculture Organization of the United Nations, 2020, Food Balance Sheet
Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data
59
Regression equation
Y = -0.003683 X +
4.873
Correlation coefficient (r)
-0.063
Coefficient of determination (R2)
0.004
GDP per capita (current US$)
No. of data
70
Regression equation
Y = -150.012187 X +
8502.348
Correlation coefficient (r)
-0.157
Coefficient of determination (R2)
0.025
Life expectancy at birth - Both sexes (years)
No. of data
73
Regression equation
Y = -0.143247 X +
69.117
Correlation coefficient (r)
-0.289
Coefficient of determination (R2)
0.084
Fertility rate, total (births per woman)
No. of data
73
Regression equation
Y = 0.043939 X +
3.076
Correlation coefficient (r)
0.492
Coefficient of determination (R2)
0.242
Suicide - all ages (per 100,000 population)
No. of data
71
Regression equation
Y = -0.074652 X +
9.731
Correlation coefficient (r)
-0.121
Coefficient of determination (R2)
0.015