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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
Hong Kong, China
52.67
2
Mongolia
40.70
3
St. Lucia
25.86
4
New Zealand
13.10
5
Belgium
10.65
6
Argentina
9.98
7
Australia
9.36
8
Belarus
8.39
9
Tajikistan
8.03
10
South Africa
7.73
11
Chad
7.37
12
Sweden
7.35
13
Lesotho
7.29
14
Turkmenistan
6.54
15
Kazakhstan
6.53
16
Armenia
6.45
17
Kyrgyzstan
5.75
18
Philippines
5.74
19
France
5.58
20
Viet Nam
5.51
21
Gabon
5.24
22
Mexico
5.15
23
Paraguay
5.00
24
Albania
4.98
25
Republic of Korea
4.88
26
Azerbaijan
4.77
27
Republic of Congo
4.71
28
Iceland
4.67
29
Uzbekistan
4.63
30
Bolivia
4.55
31
Bulgaria
4.38
32
Liberia
4.37
33
Brazil
4.31
34
Cote dIvoire
4.24
35
Russian Federation
4.15
36
Portugal
4.10
37
Latvia
4.08
38
Switzerland
4.06
39
Romania
3.91
40
Serbia
3.86
41
Egypt
3.82
41
Spain
3.82
43
Ecuador
3.81
44
Bahrain
3.75
44
French Polynesia
3.75
46
China
3.72
47
Laos
3.68
48
Mauritania
3.62
48
Slovenia
3.62
50
Croatia
3.58
50
Panama
3.58
52
Central African Republic
3.44
53
Israel
3.40
54
Macao, China
3.24
55
Austria
3.17
55
Sudan
3.17
57
Lithuania
3.15
58
Cuba
3.14
59
Fiji
3.13
59
Peru
3.13
61
Botswana
3.12
62
Greece
3.07
63
Myanmar (Burma)
2.99
64
Dominica
2.96
65
Eswatini
2.95
66
North Macedonia
2.94
67
Dominican Republic
2.90
68
Montenegro
2.87
69
Trinidad and Tobago
2.85
70
Kuwait
2.84
71
Namibia
2.82
71
New Caledonia
2.82
73
Morocco
2.80
74
Jamaica
2.76
75
Czech Republic
2.72
76
Burkina Faso
2.70
76
Colombia
2.70
76
Nepal
2.70
79
Oman
2.65
80
South Sudan
2.60
81
Syrian Arab Republic
2.59
82
Honduras
2.56
83
Venezuela
2.49
84
Ukraine
2.48
85
Estonia
2.41
86
Luxembourg
2.35
87
Slovakia
2.27
88
Italy
2.26
89
Japan
2.23
90
Grenada
2.16
91
Haiti
2.15
92
Finland
2.13
92
Georgia
2.13
92
Guinea
2.13
95
Bosnia and Herzegovina
2.05
96
Comoros
2.02
97
Djibouti
2.01
97
Nicaragua
2.01
99
Senegal
2.00
99
Thailand
2.00
101
Bahamas
1.99
102
Iran
1.96
103
Barbados
1.92
104
Moldova
1.88
105
Uruguay
1.86
106
Costa Rica
1.85
107
Angola
1.83
108
Pakistan
1.82
109
Zambia
1.79
110
Antigua and Barbuda
1.74
110
Taiwan
1.74
112
St. Vincent and the Grenadines
1.66
113
Norway
1.64
114
Vanuatu
1.63
115
Ghana
1.62
116
Saudi Arabia
1.60
117
United Arab Emirates
1.59
118
St. Kitts and Nevis
1.56
119
United Kingdom
1.53
120
Samoa
1.52
121
Kenya
1.49
122
Guinea-Bissau
1.48
123
Algeria
1.47
124
Tanzania
1.43
125
Ethiopia
1.39
126
Tunisia
1.37
127
Afghanistan
1.35
127
Yemen
1.35
129
Jordan
1.33
130
Democratic Republic of Congo
1.30
130
Malta
1.30
132
Malawi
1.28
132
Papua New Guinea
1.28
134
Cyprus
1.25
135
Ireland
1.20
136
Cape Verde
1.19
137
Guatemala
1.17
137
Mauritius
1.17
139
Poland
1.14
140
Bhutan
1.10
141
Libya
1.08
142
Uganda
1.07
143
Cambodia
1.06
144
Turkiye
1.03
145
Germany
0.99
146
Timor-Leste
0.97
147
Micronesia, Federated States of
0.95
147
Nauru
0.95
147
Sierra Leone
0.95
150
Niger
0.89
151
El Salvador
0.88
152
Benin
0.85
152
Netherlands
0.85
154
Guyana
0.84
155
Rwanda
0.83
156
Cameroon
0.82
156
Lebanon
0.82
156
Qatar
0.82
159
Zimbabwe
0.81
160
Mali
0.75
160
Seychelles
0.75
162
Belize
0.70
163
Hungary
0.68
164
Gambia
0.67
164
Suriname
0.67
166
Indonesia
0.66
167
Togo
0.60
168
Nigeria
0.59
169
Chile
0.58
170
Bangladesh
0.56
170
North Korea
0.56
172
Kiribati
0.55
173
Malaysia
0.54
174
United States
0.49
175
Solomon Islands
0.48
176
Iraq
0.47
177
Sao Tome and Principe
0.37
178
Burundi
0.33
179
Mozambique
0.30
180
Madagascar
0.29
181
Canada
0.27
182
India
0.22
182
Sri Lanka
0.22
184
Denmark
0.08
185
Maldives
0.04
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 = 0.019192 X +
5.451
Correlation coefficient (r)
0.093
Coefficient of determination (R2)
0.009
GDP per capita (current US$)
No. of data
178
Regression equation
Y = 373.267140 X +
14959.212
Correlation coefficient (r)
0.091
Coefficient of determination (R2)
0.008
Life expectancy at birth - Both sexes (years)
No. of data
184
Regression equation
Y = 0.206532 X +
70.657
Correlation coefficient (r)
0.145
Coefficient of determination (R2)
0.021
Fertility rate, total (births per woman)
No. of data
184
Regression equation
Y = -0.035114 X +
2.665
Correlation coefficient (r)
-0.151
Coefficient of determination (R2)
0.023
Suicide, age-standardized (per 100 000 population)
No. of data
177
Regression equation
Y = 0.226215 X +
9.390
Correlation coefficient (r)
0.103
Coefficient of determination (R2)
0.011