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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
Guyana
19.70
2
Bhutan
12.80
3
Benin
8.42
4
Bosnia and Herzegovina
8.01
5
Nepal
7.18
6
Thailand
6.95
7
Jamaica
6.19
8
Qatar
6.08
9
Sri Lanka
5.69
10
Malaysia
5.47
11
Grenada
5.29
12
Ethiopia
4.77
13
Bahrain
4.04
14
St. Vincent and the Grenadines
3.89
15
Kuwait
3.80
16
Bangladesh
3.74
17
Saudi Arabia
3.50
18
India
3.48
19
Oman
3.44
20
Ghana
3.41
21
Nigeria
3.40
22
Burkina Faso
3.37
23
Cote dIvoire
3.31
24
Seychelles
2.91
25
Turkiye
2.70
26
Maldives
2.63
27
Cape Verde
2.58
28
Tunisia
2.54
29
Mauritius
2.47
30
Myanmar (Burma)
2.36
31
Djibouti
2.32
32
Denmark
2.27
33
North Macedonia
2.26
34
Botswana
2.25
35
Tajikistan
2.15
36
Cameroon
2.14
37
United Arab Emirates
2.07
38
Laos
2.05
39
Netherlands
2.04
40
Macao, China
2.02
41
Syrian Arab Republic
1.94
42
Morocco
1.88
43
Indonesia
1.78
43
Suriname
1.78
45
Luxembourg
1.73
46
Eswatini
1.70
47
Estonia
1.67
48
Dominica
1.66
49
Barbados
1.64
50
Pakistan
1.49
51
Trinidad and Tobago
1.46
52
Namibia
1.42
53
Canada
1.32
54
Taiwan
1.31
55
New Zealand
1.24
55
United Kingdom
1.24
57
Iceland
1.20
57
Viet Nam
1.20
59
Mali
1.18
60
Fiji
1.15
60
United States
1.15
62
Sweden
1.12
63
Belgium
1.11
64
Japan
1.10
65
Austria
1.07
66
Egypt
1.06
66
Mexico
1.06
68
Republic of Korea
1.03
69
Libya
0.99
70
Bahamas
0.95
70
Israel
0.95
72
Germany
0.93
73
St. Lucia
0.91
74
Lesotho
0.89
75
Switzerland
0.83
76
Ireland
0.82
76
Niger
0.82
78
Australia
0.78
78
Iran
0.78
80
Cyprus
0.77
80
Latvia
0.77
82
Mauritania
0.76
82
St. Kitts and Nevis
0.76
84
Hong Kong, China
0.75
84
Kazakhstan
0.75
84
Kyrgyzstan
0.75
87
Algeria
0.73
88
Sierra Leone
0.71
89
Malta
0.69
90
Jordan
0.65
91
Yemen
0.64
92
South Sudan
0.63
93
Cambodia
0.60
93
Norway
0.60
95
Slovenia
0.57
96
Poland
0.56
97
Slovakia
0.54
98
Togo
0.53
99
Lebanon
0.52
99
New Caledonia
0.52
99
Samoa
0.52
102
Finland
0.51
102
Lithuania
0.51
104
Dominican Republic
0.50
105
Portugal
0.49
106
Croatia
0.48
107
Antigua and Barbuda
0.47
107
Hungary
0.47
107
Senegal
0.47
110
Czech Republic
0.45
111
Belize
0.44
111
Democratic Republic of Congo
0.44
111
South Africa
0.44
114
Bulgaria
0.43
114
Greece
0.43
114
Philippines
0.43
117
Bolivia
0.41
117
Montenegro
0.41
117
Rwanda
0.41
120
France
0.40
120
Serbia
0.40
122
Vanuatu
0.39
123
Iraq
0.38
123
Timor-Leste
0.38
125
Argentina
0.36
125
Colombia
0.36
125
Sudan
0.36
128
Costa Rica
0.35
129
China
0.34
130
Comoros
0.33
130
Solomon Islands
0.33
132
Madagascar
0.31
132
Peru
0.31
134
Afghanistan
0.29
134
Chile
0.29
134
Ecuador
0.29
134
Georgia
0.29
134
Sao Tome and Principe
0.29
139
French Polynesia
0.28
140
Gambia
0.27
140
Panama
0.27
140
Spain
0.27
143
Romania
0.26
143
Russian Federation
0.26
143
Uruguay
0.26
146
Tanzania
0.25
147
Belarus
0.24
148
Armenia
0.23
149
Guatemala
0.22
149
Italy
0.22
149
Zambia
0.22
152
Ukraine
0.20
153
Paraguay
0.18
154
El Salvador
0.17
155
Honduras
0.16
156
Kenya
0.15
156
Zimbabwe
0.15
158
Azerbaijan
0.14
158
Brazil
0.14
158
Uzbekistan
0.14
161
Albania
0.12
161
Moldova
0.12
163
Malawi
0.11
163
Uganda
0.11
165
Cuba
0.10
166
Nauru
0.09
167
Papua New Guinea
0.07
167
Turkmenistan
0.07
169
Nicaragua
0.06
170
Mongolia
0.05
170
Mozambique
0.05
170
Republic of Congo
0.05
173
Haiti
0.04
173
Kiribati
0.04
175
Gabon
0.03
175
North Korea
0.03
175
Venezuela
0.03
178
Angola
0.02
178
Central African Republic
0.02
178
Liberia
0.02
181
Burundi
0.01
181
Chad
0.01
181
Guinea
0.01
184
Guinea-Bissau
0.00
184
Micronesia, Federated States of
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 = -0.048155 X +
5.579
Correlation coefficient (r)
-0.067
Coefficient of determination (R2)
0.004
GDP per capita (current US$)
No. of data
178
Regression equation
Y = 202.586031 X +
15899.099
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 = 0.055947 X +
71.253
Correlation coefficient (r)
0.017
Coefficient of determination (R2)
0.000
Fertility rate, total (births per woman)
No. of data
184
Regression equation
Y = -0.057177 X +
2.630
Correlation coefficient (r)
-0.103
Coefficient of determination (R2)
0.011
Suicide, age-standardized (per 100 000 population)
No. of data
177
Regression equation
Y = 0.288551 X +
9.660
Correlation coefficient (r)
0.075
Coefficient of determination (R2)
0.006