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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
184 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
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
Nauru
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
Solomon Islands
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
Micronesia, Federated States of
173.88
2
Vanuatu
133.49
3
Kiribati
128.09
4
Nauru
126.26
5
Samoa
67.77
6
Solomon Islands
61.19
7
Sri Lanka
60.93
8
Comoros
58.65
9
Papua New Guinea
45.27
10
Seychelles
32.52
11
French Polynesia
32.36
12
Dominican Republic
31.21
13
Fiji
24.66
14
Myanmar (Burma)
22.50
15
New Caledonia
19.65
16
Dominica
18.79
17
St. Kitts and Nevis
17.04
18
Grenada
16.60
19
Indonesia
13.21
20
St. Lucia
11.26
21
Brazil
10.15
22
Malaysia
7.99
23
El Salvador
7.98
24
Thailand
7.73
25
Cape Verde
7.68
26
Ghana
7.66
27
Philippines
7.46
28
India
6.89
29
Trinidad and Tobago
6.86
30
Bahamas
5.92
31
Barbados
5.80
32
Sao Tome and Principe
3.82
33
Panama
3.70
34
Jamaica
3.64
35
Tanzania
3.30
36
Belize
2.88
37
Colombia
2.86
38
Cuba
2.66
39
Haiti
2.64
40
Viet Nam
2.56
41
United Arab Emirates
2.20
42
Bahrain
1.95
43
Guyana
1.94
44
St. Vincent and the Grenadines
1.83
45
Suriname
1.81
46
Bangladesh
1.79
47
Guinea
1.72
48
Qatar
1.67
49
Senegal
1.55
50
Mauritius
1.50
51
Kenya
1.47
52
Guinea-Bissau
1.40
53
Liberia
1.27
54
Antigua and Barbuda
1.25
55
Oman
1.12
56
Uruguay
1.03
57
Peru
1.00
58
Niger
0.94
59
Madagascar
0.90
60
Netherlands
0.85
61
Taiwan
0.82
62
Honduras
0.81
63
Costa Rica
0.80
64
Kuwait
0.78
65
Nicaragua
0.67
66
New Zealand
0.65
67
Sierra Leone
0.63
68
Cambodia
0.62
68
Guatemala
0.62
70
Australia
0.57
71
Macao, China
0.55
72
China
0.54
72
Croatia
0.54
74
Mozambique
0.52
74
Venezuela
0.52
76
Belgium
0.51
77
Maldives
0.49
77
Nepal
0.49
77
Republic of Congo
0.49
80
Hong Kong, China
0.48
81
Iceland
0.47
82
Nigeria
0.45
83
Iraq
0.44
84
Canada
0.40
85
Togo
0.34
86
Denmark
0.31
86
Saudi Arabia
0.31
88
United Kingdom
0.30
89
Ecuador
0.26
89
Syrian Arab Republic
0.26
91
Burkina Faso
0.24
92
Poland
0.23
92
Spain
0.23
94
Israel
0.22
95
Ireland
0.21
95
Lebanon
0.21
95
Switzerland
0.21
98
Austria
0.20
98
United States
0.20
100
Jordan
0.19
100
Portugal
0.19
100
Turkiye
0.19
103
Germany
0.18
103
Pakistan
0.18
105
Czech Republic
0.17
105
Hungary
0.17
105
Mexico
0.17
105
Sweden
0.17
109
Kyrgyzstan
0.16
110
Benin
0.15
110
Slovakia
0.15
112
Bolivia
0.14
112
Cyprus
0.14
112
Malta
0.14
115
Chile
0.13
115
Russian Federation
0.13
117
Luxembourg
0.12
117
Norway
0.12
117
Republic of Korea
0.12
117
Slovenia
0.12
121
Lithuania
0.11
122
Argentina
0.10
122
France
0.10
122
Montenegro
0.10
122
North Macedonia
0.10
126
Iran
0.09
126
South Africa
0.09
128
Bulgaria
0.08
128
Italy
0.08
128
Libya
0.08
131
Morocco
0.07
131
Serbia
0.07
131
Timor-Leste
0.07
134
Egypt
0.06
134
Greece
0.06
134
Latvia
0.06
134
Ukraine
0.06
134
Yemen
0.06
139
Belarus
0.05
139
Cote dIvoire
0.05
139
Estonia
0.05
139
Romania
0.05
143
Armenia
0.04
143
Azerbaijan
0.04
143
Japan
0.04
143
Paraguay
0.04
147
Algeria
0.03
147
Angola
0.03
147
Finland
0.03
147
Moldova
0.03
147
Uzbekistan
0.03
152
Albania
0.02
152
Bhutan
0.02
152
Botswana
0.02
152
Georgia
0.02
152
Kazakhstan
0.02
152
Lesotho
0.02
152
Turkmenistan
0.02
152
Zambia
0.02
160
Bosnia and Herzegovina
0.01
160
Cameroon
0.01
160
Eswatini
0.01
160
Mali
0.01
160
Mauritania
0.01
160
Namibia
0.01
160
Sudan
0.01
160
Tunisia
0.01
160
Zimbabwe
0.01
169
Afghanistan
0.00
169
Burundi
0.00
169
Central African Republic
0.00
169
Chad
0.00
169
Democratic Republic of Congo
0.00
169
Djibouti
0.00
169
Ethiopia
0.00
169
Gabon
0.00
169
Gambia
0.00
169
Laos
0.00
169
Malawi
0.00
169
Mongolia
0.00
169
Rwanda
0.00
169
South Sudan
0.00
169
Tajikistan
0.00
169
Uganda
0.00
No data for 54 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/ North Korea/ Kosovo/ Liechtenstein/ Man, Isle of/ Marshall Islands/ Martinique/ Mayotte/ Monaco/ Montserrat/ 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)/ 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 = -0.024680 X +
5.570
Correlation coefficient (r)
-0.166
Coefficient of determination (R2)
0.028
GDP per capita (current US$)
No. of data
178
Regression equation
Y = -143.563945 X +
17020.053
Correlation coefficient (r)
-0.125
Coefficient of determination (R2)
0.016
Life expectancy at birth - Both sexes (years)
No. of data
183
Regression equation
Y = -0.017466 X +
71.440
Correlation coefficient (r)
-0.052
Coefficient of determination (R2)
0.003
Fertility rate, total (births per woman)
No. of data
183
Regression equation
Y = 0.005064 X +
2.519
Correlation coefficient (r)
0.093
Coefficient of determination (R2)
0.009
Suicide, age-standardized (per 100 000 population)
No. of data
176
Regression equation
Y = 0.085210 X +
9.576
Correlation coefficient (r)
0.207
Coefficient of determination (R2)
0.043