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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
Maldives
75.80
2
Kiribati
53.56
3
Iceland
43.88
4
Nauru
39.63
5
Samoa
36.31
6
Seychelles
33.83
7
Lithuania
27.97
8
French Polynesia
25.67
9
Barbados
25.56
10
Grenada
21.46
11
Micronesia, Federated States of
20.94
12
Dominica
20.30
13
Sri Lanka
19.02
14
Malaysia
18.64
15
Vanuatu
18.47
16
Solomon Islands
18.06
17
Ghana
17.62
18
Fiji
17.00
19
St. Lucia
16.91
20
Sao Tome and Principe
16.45
21
Sierra Leone
16.14
22
Gambia
15.61
23
Morocco
14.87
24
Republic of Korea
14.83
25
Cote dIvoire
14.72
26
Peru
14.59
27
New Caledonia
14.08
28
Japan
13.98
29
Philippines
13.92
30
Gabon
13.27
31
Spain
12.12
32
Papua New Guinea
12.06
33
Mauritius
12.02
34
Comoros
11.67
35
Thailand
11.60
36
Indonesia
11.07
37
Ireland
10.59
38
Libya
10.57
39
Antigua and Barbuda
10.52
40
Denmark
9.91
41
Bahamas
9.82
42
Finland
9.65
43
Oman
9.35
44
United Arab Emirates
9.13
45
Angola
9.12
46
Panama
9.06
47
Croatia
8.98
48
Tunisia
8.45
49
Republic of Congo
8.24
50
Cameroon
8.09
51
Jamaica
8.05
52
Latvia
8.04
53
Costa Rica
7.98
54
Trinidad and Tobago
7.85
55
France
7.22
56
Chile
7.00
57
Netherlands
6.90
58
Senegal
6.82
59
Namibia
6.69
60
Ukraine
6.55
61
Venezuela
6.44
62
St. Vincent and the Grenadines
6.41
63
Belarus
6.39
63
Suriname
6.39
65
Poland
6.26
66
Belize
6.16
67
Malta
6.14
68
Israel
5.99
69
New Zealand
5.96
70
Portugal
5.87
71
Norway
5.76
72
Guinea
5.73
73
Burkina Faso
5.65
74
Montenegro
5.61
75
Georgia
5.52
76
Egypt
5.39
77
Russian Federation
5.35
78
Australia
5.33
79
Sweden
5.30
80
Kuwait
5.24
81
Qatar
5.19
82
Greece
5.11
83
Italy
5.06
84
Zambia
4.84
85
Luxembourg
4.51
86
El Salvador
4.48
87
Iran
4.45
88
Moldova
4.34
89
Cyprus
4.23
90
Mexico
4.19
91
Belgium
4.16
92
Saudi Arabia
4.12
93
Guyana
4.08
94
Romania
4.03
95
Dominican Republic
3.72
96
Nicaragua
3.68
97
Austria
3.65
98
Slovenia
3.59
99
Uruguay
3.48
100
Canada
3.40
101
Bosnia and Herzegovina
3.35
102
Colombia
3.33
103
Albania
3.32
104
Lebanon
3.31
105
Cape Verde
3.29
106
Mauritania
3.25
107
Jordan
3.21
108
Timor-Leste
3.20
109
Ecuador
3.12
110
Taiwan
3.08
111
Bulgaria
3.06
112
Hong Kong, China
2.94
113
Czech Republic
2.92
113
Togo
2.92
115
Haiti
2.90
116
Serbia
2.89
116
South Africa
2.89
116
United Kingdom
2.89
119
Nigeria
2.88
120
Slovakia
2.87
121
Viet Nam
2.82
122
Algeria
2.81
123
St. Kitts and Nevis
2.80
124
United States
2.69
125
Cuba
2.58
126
Switzerland
2.51
127
Djibouti
2.48
128
North Macedonia
2.47
128
Yemen
2.47
130
Germany
2.46
131
Turkiye
2.35
132
Macao, China
2.34
133
Eswatini
2.32
134
Estonia
2.29
135
Bahrain
2.28
136
Botswana
2.06
137
Syrian Arab Republic
1.68
138
Liberia
1.63
139
Lesotho
1.54
140
Hungary
1.42
141
Mozambique
1.41
142
Kazakhstan
1.38
143
Guatemala
1.36
144
Benin
1.20
145
Democratic Republic of Congo
1.13
145
Madagascar
1.13
147
Argentina
1.04
148
Guinea-Bissau
0.95
149
Azerbaijan
0.94
150
Honduras
0.91
151
Brazil
0.72
152
North Korea
0.61
153
Armenia
0.59
154
Bangladesh
0.53
155
Tanzania
0.51
156
Bolivia
0.49
157
Central African Republic
0.48
158
India
0.43
159
Mongolia
0.42
159
Paraguay
0.42
161
Cambodia
0.41
162
Iraq
0.40
163
Kyrgyzstan
0.36
164
Mali
0.35
164
Zimbabwe
0.35
166
Rwanda
0.34
167
Kenya
0.33
168
Pakistan
0.29
169
Turkmenistan
0.28
169
Uzbekistan
0.28
171
China
0.27
171
Myanmar (Burma)
0.27
173
Niger
0.13
174
Chad
0.07
174
Tajikistan
0.07
176
Malawi
0.06
177
Laos
0.05
178
Bhutan
0.04
178
Sudan
0.04
178
Uganda
0.04
181
Ethiopia
0.03
182
Burundi
0.02
183
Nepal
0.01
183
South Sudan
0.01
185
Afghanistan
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 = 0.044158 X +
5.282
Correlation coefficient (r)
0.221
Coefficient of determination (R2)
0.049
GDP per capita (current US$)
No. of data
178
Regression equation
Y = 161.848571 X +
15051.237
Correlation coefficient (r)
0.070
Coefficient of determination (R2)
0.005
Life expectancy at birth - Both sexes (years)
No. of data
184
Regression equation
Y = 0.134490 X +
70.370
Correlation coefficient (r)
0.171
Coefficient of determination (R2)
0.029
Fertility rate, total (births per woman)
No. of data
184
Regression equation
Y = -0.011856 X +
2.635
Correlation coefficient (r)
-0.092
Coefficient of determination (R2)
0.008
Suicide, age-standardized (per 100 000 population)
No. of data
177
Regression equation
Y = 0.030891 X +
9.859
Correlation coefficient (r)
0.033
Coefficient of determination (R2)
0.001