Tweet
Politics and government
Population and Family
Economy and industry
Work
Education and media
Science and technology
Environment and energy
International relations and national identity
Security
Health
Food
Leisure and Sports
Life
[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
Portugal
31.78
2
Norway
22.82
3
Iceland
20.87
4
Republic of Korea
17.42
5
Kiribati
15.40
6
Spain
13.11
7
Oman
12.26
8
Malaysia
11.89
9
France
11.83
10
Seychelles
10.60
11
New Zealand
10.36
12
Netherlands
9.23
13
Sweden
9.12
14
Republic of Congo
8.42
15
Luxembourg
8.35
16
Russian Federation
7.94
17
United Kingdom
7.69
18
Italy
7.65
19
Gabon
7.57
20
Belgium
7.55
21
Estonia
7.31
22
United Arab Emirates
7.17
23
Ireland
7.08
24
Greece
6.97
25
Gambia
6.95
26
Qatar
6.68
27
Japan
6.63
28
Sierra Leone
6.62
29
Denmark
6.29
30
Indonesia
5.80
31
Egypt
5.74
32
Hong Kong, China
5.65
33
Australia
5.52
34
Cyprus
5.48
35
Trinidad and Tobago
5.20
36
North Korea
5.13
37
Taiwan
4.97
38
Bahrain
4.96
39
Canada
4.60
40
United States
4.43
41
Poland
4.35
42
Tunisia
4.33
43
Cameroon
4.31
44
Croatia
4.27
45
Israel
4.19
46
Slovakia
3.97
47
Germany
3.90
48
Sao Tome and Principe
3.78
49
Antigua and Barbuda
3.74
50
Philippines
3.73
51
Cape Verde
3.71
52
Latvia
3.57
53
Malta
3.46
54
Argentina
3.42
55
Ecuador
3.26
56
China
3.24
57
Montenegro
3.19
58
Finland
3.12
59
Grenada
3.03
60
Belarus
3.01
61
Libya
3.00
62
Fiji
2.99
63
Czech Republic
2.96
64
Slovenia
2.93
65
St. Vincent and the Grenadines
2.91
66
Angola
2.83
67
Austria
2.76
68
Kuwait
2.73
69
Ukraine
2.66
70
South Africa
2.58
71
Senegal
2.55
72
Dominica
2.52
72
Uruguay
2.52
74
Switzerland
2.50
75
Peru
2.49
76
Dominican Republic
2.40
77
North Macedonia
2.36
77
St. Kitts and Nevis
2.36
79
Mauritius
2.31
80
Ghana
2.24
81
Benin
2.23
82
Brazil
2.22
83
Moldova
2.20
84
Sri Lanka
2.18
85
Nauru
2.12
86
Albania
2.09
87
Guyana
1.98
88
Nigeria
1.94
89
Namibia
1.91
90
Bahamas
1.90
90
Saudi Arabia
1.90
92
Liberia
1.84
93
Macao, China
1.81
94
Guinea
1.76
95
Mali
1.75
96
Chile
1.69
96
Morocco
1.69
98
Bosnia and Herzegovina
1.62
99
Cote dIvoire
1.51
100
New Caledonia
1.47
101
Mexico
1.45
102
Togo
1.44
103
Venezuela
1.41
104
Serbia
1.39
105
Lebanon
1.36
106
Barbados
1.35
107
Belize
1.34
108
Hungary
1.29
109
Thailand
1.28
110
Turkiye
1.22
111
French Polynesia
1.17
112
Georgia
1.12
113
Bulgaria
1.03
114
Suriname
1.00
115
Lithuania
0.99
116
Eswatini
0.96
117
Comoros
0.94
117
Iran
0.94
119
Romania
0.92
120
Djibouti
0.67
121
Tanzania
0.66
122
India
0.62
123
Cuba
0.61
124
Iraq
0.59
125
Bangladesh
0.57
126
Costa Rica
0.55
127
Haiti
0.54
128
Yemen
0.48
129
Maldives
0.47
130
St. Lucia
0.45
131
Vanuatu
0.43
132
Panama
0.41
133
Colombia
0.36
133
Nicaragua
0.36
135
Jordan
0.34
135
Viet Nam
0.34
137
Democratic Republic of Congo
0.32
137
Tajikistan
0.32
139
Algeria
0.31
140
Botswana
0.28
141
Mozambique
0.27
142
Azerbaijan
0.25
143
Papua New Guinea
0.24
144
Kenya
0.23
145
Kazakhstan
0.22
145
Samoa
0.22
147
Jamaica
0.21
148
Kyrgyzstan
0.15
149
Mauritania
0.14
150
Lesotho
0.13
151
Afghanistan
0.10
151
Niger
0.10
151
Syrian Arab Republic
0.10
154
Zambia
0.09
155
Guinea-Bissau
0.07
156
Pakistan
0.06
157
Armenia
0.05
157
Bhutan
0.05
157
El Salvador
0.05
157
Micronesia, Federated States of
0.05
161
Cambodia
0.04
162
Guatemala
0.02
162
South Sudan
0.02
162
Uzbekistan
0.02
162
Zimbabwe
0.02
166
Chad
0.01
166
Mongolia
0.01
166
Paraguay
0.01
166
Solomon Islands
0.01
166
Timor-Leste
0.01
166
Turkmenistan
0.01
172
Bolivia
0.00
172
Burkina Faso
0.00
172
Burundi
0.00
172
Central African Republic
0.00
172
Ethiopia
0.00
172
Honduras
0.00
172
Laos
0.00
172
Madagascar
0.00
172
Malawi
0.00
172
Myanmar (Burma)
0.00
172
Nepal
0.00
172
Rwanda
0.00
172
Sudan
0.00
172
Uganda
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 = 0.102225 X +
5.177
Correlation coefficient (r)
0.398
Coefficient of determination (R2)
0.158
GDP per capita (current US$)
No. of data
178
Regression equation
Y = 2673.366390 X +
7754.975
Correlation coefficient (r)
0.523
Coefficient of determination (R2)
0.274
Life expectancy at birth - Both sexes (years)
No. of data
184
Regression equation
Y = 0.780244 X +
68.934
Correlation coefficient (r)
0.442
Coefficient of determination (R2)
0.195
Fertility rate, total (births per woman)
No. of data
184
Regression equation
Y = -0.085655 X +
2.813
Correlation coefficient (r)
-0.297
Coefficient of determination (R2)
0.088
Suicide, age-standardized (per 100 000 population)
No. of data
177
Regression equation
Y = -0.006764 X +
10.091
Correlation coefficient (r)
-0.003
Coefficient of determination (R2)
0.000