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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
185 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
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
Argentina
23.34
2
Paraguay
15.71
3
Uruguay
9.32
4
Turkiye
3.17
5
Mauritania
3.08
6
Syrian Arab Republic
2.27
7
Brazil
2.26
8
Ireland
2.04
9
Myanmar (Burma)
1.85
10
Morocco
1.81
11
Gambia
1.73
12
Macao, China
1.70
13
Hong Kong, China
1.68
14
Libya
1.65
15
United Kingdom
1.63
16
Iran
1.56
17
Chile
1.53
18
Taiwan
1.52
19
Qatar
1.49
20
Oman
1.44
21
Viet Nam
1.41
22
Kazakhstan
1.39
23
Kuwait
1.38
24
Azerbaijan
1.33
25
Seychelles
1.27
26
Bahrain
1.26
27
China
1.25
28
Saudi Arabia
1.20
29
Denmark
1.11
29
Kyrgyzstan
1.11
29
Malta
1.11
32
Mauritius
1.09
33
Laos
1.04
34
Mozambique
1.03
35
Uzbekistan
1.01
36
Iraq
0.94
37
Malaysia
0.93
37
Pakistan
0.93
39
Botswana
0.92
40
Russian Federation
0.91
41
Barbados
0.90
41
India
0.90
43
Thailand
0.87
44
Jordan
0.84
45
Egypt
0.72
45
Iceland
0.72
47
Georgia
0.71
47
New Zealand
0.71
49
Japan
0.70
50
Mongolia
0.67
50
Yemen
0.67
52
Cameroon
0.65
53
Fiji
0.64
54
Tajikistan
0.63
55
Belize
0.62
55
United Arab Emirates
0.62
57
Tunisia
0.60
58
Eswatini
0.57
58
Papua New Guinea
0.57
60
Maldives
0.56
61
Burundi
0.53
62
Lesotho
0.52
63
Australia
0.51
63
Bangladesh
0.51
63
Belarus
0.51
66
Belgium
0.50
66
Netherlands
0.50
68
Poland
0.48
69
Lebanon
0.47
70
Sudan
0.46
71
United States
0.45
72
Luxembourg
0.42
72
Mali
0.42
72
Namibia
0.42
72
Tanzania
0.42
76
Canada
0.40
77
Afghanistan
0.39
77
Senegal
0.39
77
Ukraine
0.39
80
Bhutan
0.38
81
Guyana
0.36
81
Indonesia
0.36
81
Latvia
0.36
81
Niger
0.36
85
Algeria
0.35
85
Sweden
0.35
85
Switzerland
0.35
88
South Africa
0.34
89
Nepal
0.33
90
Austria
0.32
90
Estonia
0.32
90
Guinea
0.32
93
Bahamas
0.31
94
Trinidad and Tobago
0.28
95
Nauru
0.27
95
North Macedonia
0.27
95
Solomon Islands
0.27
98
Burkina Faso
0.25
98
Germany
0.25
98
Norway
0.25
101
Bolivia
0.24
101
Czech Republic
0.24
101
France
0.24
101
Lithuania
0.24
101
New Caledonia
0.24
101
Suriname
0.24
107
Cyprus
0.23
107
Samoa
0.23
109
Moldova
0.22
110
Armenia
0.20
110
Grenada
0.20
112
French Polynesia
0.19
112
Greece
0.19
112
Timor-Leste
0.19
115
Finland
0.18
116
Turkmenistan
0.17
117
Israel
0.16
117
Portugal
0.16
117
Spain
0.16
120
Hungary
0.15
120
Montenegro
0.15
120
Sri Lanka
0.15
123
South Sudan
0.14
124
Bulgaria
0.13
124
Gabon
0.13
124
Romania
0.13
124
Slovakia
0.13
128
El Salvador
0.12
128
Vanuatu
0.12
130
Costa Rica
0.11
130
Slovenia
0.11
132
Cote dIvoire
0.10
132
Croatia
0.10
132
Italy
0.10
132
Zambia
0.10
136
Peru
0.09
137
Ethiopia
0.08
138
Albania
0.07
138
Panama
0.07
140
Cape Verde
0.06
140
Kiribati
0.06
140
Liberia
0.06
140
Philippines
0.06
140
Republic of Korea
0.06
140
Sierra Leone
0.06
146
Ecuador
0.05
146
Ghana
0.05
146
Micronesia, Federated States of
0.05
149
Democratic Republic of Congo
0.04
149
Republic of Congo
0.04
149
Togo
0.04
152
Antigua and Barbuda
0.03
152
Bosnia and Herzegovina
0.03
152
Cambodia
0.03
152
Chad
0.03
152
Colombia
0.03
152
Dominica
0.03
152
Guatemala
0.03
152
Malawi
0.03
152
Nicaragua
0.03
152
St. Kitts and Nevis
0.03
162
Angola
0.02
162
Dominican Republic
0.02
162
Guinea-Bissau
0.02
162
Haiti
0.02
162
Mexico
0.02
162
Nigeria
0.02
162
St. Lucia
0.02
169
Benin
0.01
169
Comoros
0.01
169
Honduras
0.01
169
Madagascar
0.01
169
Sao Tome and Principe
0.01
169
Serbia
0.01
169
St. Vincent and the Grenadines
0.01
176
Central African Republic
0.00
176
Cuba
0.00
176
Djibouti
0.00
176
Jamaica
0.00
176
Kenya
0.00
176
North Korea
0.00
176
Rwanda
0.00
176
Uganda
0.00
176
Venezuela
0.00
176
Zimbabwe
0.00
No data for 53 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/ 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 = 0.042145 X +
5.481
Correlation coefficient (r)
0.089
Coefficient of determination (R2)
0.008
GDP per capita (current US$)
No. of data
178
Regression equation
Y = 206.436383 X +
16031.531
Correlation coefficient (r)
0.021
Coefficient of determination (R2)
0.000
Life expectancy at birth - Both sexes (years)
No. of data
184
Regression equation
Y = 0.312238 X +
71.096
Correlation coefficient (r)
0.090
Coefficient of determination (R2)
0.008
Fertility rate, total (births per woman)
No. of data
184
Regression equation
Y = -0.048913 X +
2.587
Correlation coefficient (r)
-0.086
Coefficient of determination (R2)
0.007
Suicide, age-standardized (per 100 000 population)
No. of data
177
Regression equation
Y = -0.155305 X +
10.188
Correlation coefficient (r)
-0.039
Coefficient of determination (R2)
0.002