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[Agriculture] Food self-sufficiency ratio (calorie-based)
[Agriculture] Food self-sufficiency ratio (production value-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] Average days of eating beef, lamb, or their products in a week
[Meat, Diary, Fish] % of those who do not eat beef, lamb, or their products
[Meat, Diary, Fish] % of those who eat beef, lamb, or their products every day
[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:
2020
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
183 countries/ areas
Highlight:
(No highlight)
Japan
Nordic and Japan
----------
Afghanistan
Albania
Algeria
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bhutan
Bolivia
Bosnia and Herzegovina
Botswana
Brazil
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comoros
Democratic Republic of Congo
Republic of Congo
Costa Rica
Cote dIvoire
Croatia
Cuba
Cyprus
Czech Republic
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Estonia
Eswatini
Ethiopia
Fiji
Finland
France
French Polynesia
Gabon
Gambia
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hong Kong, China
Hungary
Iceland
India
Indonesia
Iran
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
North Korea
Republic of Korea
Kuwait
Kyrgyzstan
Laos
Latvia
Lebanon
Lesotho
Liberia
Libya
Lithuania
Luxembourg
Macao, China
North Macedonia
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Mauritania
Mauritius
Mexico
Micronesia, Federated States of
Moldova
Mongolia
Montenegro
Morocco
Mozambique
Myanmar (Burma)
Namibia
Nepal
Netherlands
New Caledonia
New Zealand
Nicaragua
Niger
Nigeria
Norway
Oman
Pakistan
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatar
Romania
Russian Federation
Rwanda
St. Kitts and Nevis
St. Lucia
St. Vincent and the Grenadines
Samoa
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Slovakia
Slovenia
South Africa
South Sudan
Spain
Sri Lanka
Sudan
Suriname
Sweden
Switzerland
Syrian Arab Republic
Taiwan
Tajikistan
Tanzania
Thailand
Timor-Leste
Togo
Trinidad and Tobago
Tunisia
Turkiye
Turkmenistan
Uganda
Ukraine
United Arab Emirates
United Kingdom
United States
Uruguay
Uzbekistan
Vanuatu
Venezuela
Viet Nam
Yemen
Zambia
Zimbabwe
1
Belarus
11.09
2
Germany
6.86
3
Denmark
6.64
4
Estonia
6.29
5
United Kingdom
6.26
6
United States
6.17
7
Ireland
5.70
8
Norway
4.91
9
Mongolia
4.82
10
Brazil
3.84
11
Jamaica
3.63
12
Ukraine
3.37
13
Ecuador
3.16
14
Latvia
3.05
15
Iceland
2.86
16
Austria
2.68
16
Guatemala
2.68
18
Netherlands
2.64
19
Sweden
2.52
20
Switzerland
2.38
21
Bolivia
2.33
22
Poland
2.28
23
New Zealand
2.27
24
Czech Republic
2.22
25
Barbados
2.04
26
Portugal
2.03
27
Belize
1.98
27
Slovakia
1.98
29
Colombia
1.89
30
Dominican Republic
1.84
31
Dominica
1.76
32
Uruguay
1.69
33
St. Lucia
1.68
34
Luxembourg
1.60
35
Peru
1.45
35
Russian Federation
1.45
37
Malaysia
1.44
38
Grenada
1.40
39
Trinidad and Tobago
1.38
40
Costa Rica
1.33
40
Israel
1.33
42
Hong Kong, China
1.29
43
Venezuela
1.28
44
Djibouti
1.27
45
South Africa
1.25
46
Georgia
1.24
47
Panama
1.23
48
Moldova
1.17
49
Argentina
1.13
50
North Macedonia
1.09
51
France
1.06
52
Bahamas
1.02
53
Kazakhstan
0.96
54
Taiwan
0.95
55
Spain
0.86
56
Hungary
0.84
57
Antigua and Barbuda
0.82
58
Honduras
0.74
58
Slovenia
0.74
60
Finland
0.72
61
Macao, China
0.67
62
Mauritius
0.65
63
El Salvador
0.64
63
Saudi Arabia
0.64
65
Armenia
0.61
66
Greece
0.58
67
Qatar
0.57
68
Malta
0.56
69
Nicaragua
0.52
70
Croatia
0.49
70
Mexico
0.49
72
Suriname
0.47
73
Fiji
0.46
73
Serbia
0.46
75
Guyana
0.45
76
Australia
0.44
76
St. Kitts and Nevis
0.44
78
Bahrain
0.40
78
Oman
0.40
80
Morocco
0.39
81
Namibia
0.37
82
Kuwait
0.36
83
Cote dIvoire
0.33
84
Ethiopia
0.32
85
North Korea
0.31
86
Romania
0.29
87
Bulgaria
0.28
87
St. Vincent and the Grenadines
0.28
89
Lesotho
0.26
90
Italy
0.25
91
Senegal
0.23
92
Ghana
0.22
92
Philippines
0.22
94
Japan
0.21
94
Maldives
0.21
96
Lebanon
0.20
96
Liberia
0.20
96
Seychelles
0.20
99
Bosnia and Herzegovina
0.18
100
Republic of Congo
0.17
101
Azerbaijan
0.16
101
Cyprus
0.16
103
Chile
0.15
104
Montenegro
0.14
104
Paraguay
0.14
106
Cape Verde
0.13
106
China
0.13
108
Eswatini
0.11
108
Gabon
0.11
108
Tunisia
0.11
108
Uzbekistan
0.11
112
Belgium
0.10
112
Canada
0.10
114
Angola
0.09
114
Iraq
0.09
114
South Sudan
0.09
117
Jordan
0.08
117
Kenya
0.08
117
Turkmenistan
0.08
120
Albania
0.06
120
Algeria
0.06
120
Indonesia
0.06
120
Tajikistan
0.06
124
India
0.05
124
Kyrgyzstan
0.05
124
Libya
0.05
124
Thailand
0.05
128
Bhutan
0.04
128
Gambia
0.04
128
Haiti
0.04
128
Nepal
0.04
128
Turkiye
0.04
128
Viet Nam
0.04
128
Zambia
0.04
135
Mozambique
0.03
135
Republic of Korea
0.03
137
Iran
0.02
137
Samoa
0.02
137
Sierra Leone
0.02
137
Yemen
0.02
141
Botswana
0.01
141
Egypt
0.01
141
French Polynesia
0.01
141
Guinea
0.01
141
Kiribati
0.01
141
Malawi
0.01
141
Mauritania
0.01
141
New Caledonia
0.01
141
Nigeria
0.01
141
Pakistan
0.01
141
Rwanda
0.01
141
Sao Tome and Principe
0.01
141
Syrian Arab Republic
0.01
141
Togo
0.01
141
Zimbabwe
0.01
156
Afghanistan
0.00
156
Bangladesh
0.00
156
Benin
0.00
156
Burkina Faso
0.00
156
Burundi
0.00
156
Cambodia
0.00
156
Cameroon
0.00
156
Central African Republic
0.00
156
Chad
0.00
156
Comoros
0.00
156
Cuba
0.00
156
Democratic Republic of Congo
0.00
156
Guinea-Bissau
0.00
156
Laos
0.00
156
Lithuania
0.00
156
Madagascar
0.00
156
Mali
0.00
156
Micronesia, Federated States of
0.00
156
Myanmar (Burma)
0.00
156
Niger
0.00
156
Papua New Guinea
0.00
156
Sri Lanka
0.00
156
Sudan
0.00
156
Tanzania
0.00
156
Timor-Leste
0.00
156
Uganda
0.00
156
United Arab Emirates
0.00
156
Vanuatu
0.00
No data for 55 countries.
American Samoa/ Andorra/ Anguilla/ Aruba/ Bermuda/ British Virgin Islands/ Brunei Darussalam/ Cayman Islands/ Channel Islands/ Cook Islands/ Curacao/ Equatorial Guinea/ Eritrea/ Faeroe Islands/ Falkland Islands (Malvinas)/ French Guiana/ Gibraltar/ Greenland/ Guadeloupe/ Guam/ Guernsey/ Holy See (Vatican City)/ Jersey/ Kosovo/ Liechtenstein/ Man, Isle of/ Marshall Islands/ Martinique/ Mayotte/ Monaco/ Montserrat/ Nauru/ Netherlands Antilles/ Niue/ Northern Mariana Islands/ Palau/ Palestinian Territory/ Pitcairn/ Puerto Rico/ Reunion/ St. Helena/ St. Martin (French part)/ St. Pierre et Miquelon/ San Marino/ Singapore/ Sint Maarten (Dutch part)/ Solomon Islands/ Somalia/ Tokelau/ Tonga/ Turks and Caicos Islands/ Tuvalu/ 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
140
Regression equation
Y = 0.375811 X +
5.148
Correlation coefficient (r)
0.490
Coefficient of determination (R2)
0.240
GDP per capita (current US$)
No. of data
176
Regression equation
Y = 6242.882372 X +
10375.346
Correlation coefficient (r)
0.446
Coefficient of determination (R2)
0.199
Life expectancy at birth - Both sexes (years)
No. of data
182
Regression equation
Y = 1.628829 X +
69.892
Correlation coefficient (r)
0.338
Coefficient of determination (R2)
0.114
Fertility rate, total (births per woman)
No. of data
182
Regression equation
Y = -0.274289 X +
2.787
Correlation coefficient (r)
-0.349
Coefficient of determination (R2)
0.122
Suicide, age-standardized (per 100 000 population)
No. of data
176
Regression equation
Y = -0.020062 X +
10.047
Correlation coefficient (r)
-0.004
Coefficient of determination (R2)
0.000