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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
Belgium
33.90
2
Denmark
29.85
3
Estonia
25.61
4
Slovakia
18.61
5
Latvia
18.31
6
Iceland
18.24
7
Austria
17.26
8
Czech Republic
17.07
9
France
16.36
10
Finland
15.98
11
Bahrain
15.00
12
Sweden
14.49
13
Poland
13.47
14
New Zealand
12.86
15
Canada
12.64
16
Germany
12.63
17
Croatia
12.31
18
Slovenia
11.60
19
Ireland
11.36
20
Norway
10.58
21
Portugal
10.45
22
Fiji
8.65
23
Switzerland
8.34
24
Netherlands
8.31
25
Hungary
8.23
26
Belarus
8.04
27
Mongolia
7.86
28
French Polynesia
7.55
29
Romania
7.30
30
Italy
7.22
31
Lithuania
7.19
32
Pakistan
6.51
33
New Caledonia
6.45
34
Luxembourg
6.41
34
Uruguay
6.41
36
Azerbaijan
6.34
37
Australia
6.10
38
Samoa
5.34
39
Kazakhstan
5.24
40
Belize
5.07
41
Russian Federation
4.93
42
North Macedonia
4.82
43
Greece
4.76
44
United Kingdom
4.71
45
Oman
4.64
46
Republic of Korea
4.63
47
Spain
4.58
48
Saudi Arabia
4.55
49
Argentina
4.46
50
Panama
4.25
51
Cyprus
4.22
51
Malta
4.22
53
Armenia
3.99
54
Moldova
3.89
55
Uzbekistan
3.78
56
Montenegro
3.70
57
Bulgaria
3.64
58
United Arab Emirates
3.62
59
United States
3.58
60
India
3.55
61
Serbia
3.27
62
Bhutan
3.23
63
Turkmenistan
3.22
64
Barbados
3.16
64
Brazil
3.16
66
Turkiye
3.09
67
Trinidad and Tobago
2.98
68
Israel
2.89
69
Kuwait
2.81
70
Jamaica
2.78
71
Bahamas
2.76
72
Iran
2.73
73
Albania
2.72
74
Myanmar (Burma)
2.70
74
Philippines
2.70
76
Qatar
2.69
77
St. Kitts and Nevis
2.68
78
Chile
2.67
79
Taiwan
2.58
80
Georgia
2.57
81
Ukraine
2.52
82
Honduras
2.47
83
Botswana
2.46
83
Tunisia
2.46
85
Grenada
2.42
86
Ecuador
2.41
87
Hong Kong, China
2.39
88
Antigua and Barbuda
2.37
88
Nepal
2.37
90
Bosnia and Herzegovina
2.35
91
Macao, China
2.34
91
Mauritius
2.34
93
Viet Nam
2.33
94
Laos
2.29
95
Libya
2.26
96
Kyrgyzstan
2.24
97
Costa Rica
2.21
98
Morocco
2.20
99
Seychelles
2.09
100
Mexico
2.07
101
Burkina Faso
1.96
102
Nauru
1.91
103
Bolivia
1.87
104
Malaysia
1.86
105
Syrian Arab Republic
1.80
106
Paraguay
1.75
107
Namibia
1.74
108
China
1.67
109
Jordan
1.59
109
Maldives
1.59
111
St. Vincent and the Grenadines
1.51
112
Egypt
1.49
113
Dominican Republic
1.42
114
Micronesia, Federated States of
1.37
115
Afghanistan
1.35
116
Solomon Islands
1.34
117
Guyana
1.29
118
Colombia
1.28
119
Lebanon
1.27
120
Eswatini
1.26
121
Chad
1.23
122
Mauritania
1.21
123
Cuba
1.13
123
Nicaragua
1.13
125
Niger
1.11
126
Tanzania
1.10
127
Central African Republic
1.01
128
Kenya
1.00
129
Thailand
0.99
129
Vanuatu
0.99
131
Cambodia
0.98
132
Papua New Guinea
0.95
133
Guatemala
0.94
133
Suriname
0.94
135
Japan
0.93
136
Malawi
0.84
137
Timor-Leste
0.82
138
Dominica
0.75
139
Sao Tome and Principe
0.70
140
Djibouti
0.68
141
St. Lucia
0.67
142
El Salvador
0.64
143
Peru
0.61
144
South Africa
0.59
145
Sudan
0.58
146
Algeria
0.57
147
Zambia
0.51
148
Cape Verde
0.48
149
Iraq
0.47
150
Gabon
0.45
150
Kiribati
0.45
152
Ethiopia
0.44
152
Yemen
0.44
154
Haiti
0.42
155
South Sudan
0.39
155
Zimbabwe
0.39
157
Angola
0.38
157
Uganda
0.38
159
Senegal
0.37
160
Venezuela
0.36
161
Togo
0.35
162
Guinea-Bissau
0.34
163
Bangladesh
0.33
164
Mozambique
0.32
164
North Korea
0.32
164
Rwanda
0.32
167
Comoros
0.31
167
Guinea
0.31
169
Lesotho
0.30
170
Liberia
0.25
171
Nigeria
0.24
172
Indonesia
0.23
173
Benin
0.21
174
Cameroon
0.18
175
Gambia
0.17
175
Ghana
0.17
177
Cote dIvoire
0.16
178
Burundi
0.15
179
Mali
0.13
179
Sri Lanka
0.13
181
Republic of Congo
0.11
182
Madagascar
0.09
183
Sierra Leone
0.07
184
Democratic Republic of Congo
0.05
185
Tajikistan
0.03
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 = 0.111906 X +
5.009
Correlation coefficient (r)
0.565
Coefficient of determination (R2)
0.319
GDP per capita (current US$)
No. of data
178
Regression equation
Y = 2280.495890 X +
7026.190
Correlation coefficient (r)
0.556
Coefficient of determination (R2)
0.309
Life expectancy at birth - Both sexes (years)
No. of data
184
Regression equation
Y = 0.741539 X +
68.378
Correlation coefficient (r)
0.523
Coefficient of determination (R2)
0.274
Fertility rate, total (births per woman)
No. of data
184
Regression equation
Y = -0.094109 X +
2.925
Correlation coefficient (r)
-0.407
Coefficient of determination (R2)
0.166
Suicide, age-standardized (per 100 000 population)
No. of data
177
Regression equation
Y = -0.005122 X +
10.091
Correlation coefficient (r)
-0.003
Coefficient of determination (R2)
0.000