Tweet
Politics and government
Population and Family
Economy and industry
Work
Education and media
Science and technology
Environment and energy
International relations
Security
Health
Food
Leisure and Sports
Life
[Agriculture] Food self-sufficiency ratio (calorie-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] 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:
2019
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
178 countries/ areas
Highlight:
(No highlight)
Japan
Nordic and Japan
----------
Afghanistan
Albania
Algeria
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
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
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
Moldova
Mongolia
Montenegro
Morocco
Mozambique
Myanmar (Burma)
Namibia
Nepal
Netherlands
New Caledonia
New Zealand
Nicaragua
Niger
Nigeria
Norway
Oman
Pakistan
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
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
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
Paraguay
17.35
2
Uruguay
8.90
3
Argentina
6.08
4
Mauritania
4.25
5
Turkiye
3.42
6
Gambia
2.46
7
Myanmar (Burma)
2.30
8
Brazil
2.05
9
Libya
2.00
10
Morocco
1.88
11
Ireland
1.85
12
Iran
1.74
13
Kazakhstan
1.57
14
Taiwan
1.55
15
United Kingdom
1.54
16
Chile
1.53
16
Hong Kong, China
1.53
18
Macao, China
1.49
19
Azerbaijan
1.34
20
Seychelles
1.30
21
Mauritius
1.27
22
China
1.18
23
Viet Nam
1.14
24
Saudi Arabia
1.13
25
Syrian Arab Republic
1.10
26
Mozambique
1.09
27
Egypt
1.07
28
Iraq
1.06
29
Antigua and Barbuda
1.04
30
Malaysia
0.95
31
Uzbekistan
0.94
32
Botswana
0.92
33
Russian Federation
0.91
34
Thailand
0.86
35
India
0.83
35
Japan
0.83
35
Laos
0.83
38
Malta
0.82
39
Barbados
0.78
40
Kyrgyzstan
0.76
40
Pakistan
0.76
42
Denmark
0.70
43
Fiji
0.69
43
Tunisia
0.69
45
Suriname
0.68
45
Turkmenistan
0.68
47
Afghanistan
0.67
48
Jordan
0.62
49
Oman
0.61
50
Georgia
0.59
50
Iceland
0.59
50
Luxembourg
0.59
50
Mongolia
0.59
54
Netherlands
0.58
54
Samoa
0.58
56
Lebanon
0.56
56
New Zealand
0.56
58
Bangladesh
0.54
59
Australia
0.53
60
Greece
0.52
60
Kuwait
0.52
62
Sudan
0.51
63
Bahamas
0.50
63
United Arab Emirates
0.50
65
Eswatini
0.49
66
Kenya
0.48
67
Austria
0.47
67
Canada
0.47
67
Mali
0.47
70
Belarus
0.46
70
Sri Lanka
0.46
70
United States
0.46
73
Cameroon
0.45
74
Nepal
0.44
75
Namibia
0.43
76
Senegal
0.41
77
Poland
0.40
77
Tajikistan
0.40
79
Indonesia
0.39
79
St. Lucia
0.39
81
Germany
0.37
82
Algeria
0.36
82
Sweden
0.36
84
Czech Republic
0.35
84
New Caledonia
0.35
86
Yemen
0.34
87
Cyprus
0.33
87
Ukraine
0.33
89
Latvia
0.32
89
South Africa
0.32
91
Guyana
0.31
91
North Macedonia
0.31
93
Switzerland
0.29
94
Belgium
0.28
95
Burkina Faso
0.27
95
Estonia
0.27
95
Papua New Guinea
0.27
98
France
0.26
98
Lithuania
0.26
100
Guinea
0.25
101
Norway
0.24
102
Belize
0.23
102
Finland
0.23
102
Portugal
0.23
102
Trinidad and Tobago
0.23
106
Moldova
0.22
107
Bolivia
0.21
107
Maldives
0.21
107
Montenegro
0.21
107
Solomon Islands
0.21
107
St. Vincent and the Grenadines
0.21
112
Spain
0.19
113
Slovakia
0.18
113
Vanuatu
0.18
115
Lesotho
0.16
116
Albania
0.15
116
St. Kitts and Nevis
0.15
118
Armenia
0.14
118
Hungary
0.14
118
Slovenia
0.14
121
Costa Rica
0.13
121
Dominica
0.13
121
Gabon
0.13
121
Grenada
0.13
121
Guinea-Bissau
0.13
121
Zambia
0.13
127
Romania
0.12
128
Ethiopia
0.11
128
Kiribati
0.11
130
El Salvador
0.10
130
French Polynesia
0.10
130
Italy
0.10
130
Tanzania
0.10
134
Bulgaria
0.09
134
Panama
0.09
136
Cote dIvoire
0.08
136
Croatia
0.08
136
Peru
0.08
139
Republic of Korea
0.07
140
Burundi
0.06
140
Ghana
0.06
140
Philippines
0.06
140
Timor-Leste
0.06
144
Cape Verde
0.05
144
Dominican Republic
0.05
144
Ecuador
0.05
144
Israel
0.05
144
Republic of Congo
0.05
144
Sierra Leone
0.05
150
Chad
0.04
151
Benin
0.03
151
Bosnia and Herzegovina
0.03
151
Democratic Republic of Congo
0.03
151
Guatemala
0.03
151
Nicaragua
0.03
151
Nigeria
0.03
151
Togo
0.03
158
Angola
0.02
158
Cambodia
0.02
158
Colombia
0.02
158
Honduras
0.02
158
Mexico
0.02
158
Niger
0.02
164
Comoros
0.01
164
Djibouti
0.01
164
Liberia
0.01
164
Madagascar
0.01
164
Sao Tome and Principe
0.01
164
Serbia
0.01
170
Central African Republic
0.00
170
Cuba
0.00
170
Haiti
0.00
170
Jamaica
0.00
170
Malawi
0.00
170
Rwanda
0.00
170
Uganda
0.00
170
Venezuela
0.00
170
Zimbabwe
0.00
No data for 60 countries.
American Samoa/ Andorra/ Anguilla/ Aruba/ Bahrain/ Bermuda/ Bhutan/ 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/ North Korea/ Kosovo/ Liechtenstein/ Man, Isle of/ Marshall Islands/ Martinique/ Mayotte/ Micronesia, Federated States of/ Monaco/ Montserrat/ Nauru/ Netherlands Antilles/ Niue/ Northern Mariana Islands/ Palau/ Palestinian Territory/ Pitcairn/ Puerto Rico/ Qatar/ Reunion/ St. Helena/ St. Martin (French part)/ St. Pierre et Miquelon/ San Marino/ Singapore/ Sint Maarten (Dutch part)/ Somalia/ South Sudan/ 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
141
Regression equation
Y = 0.018419 X +
5.527
Correlation coefficient (r)
0.030
Coefficient of determination (R2)
0.001
GDP per capita (current US$)
No. of data
172
Regression equation
Y = 88.537018 X +
15286.721
Correlation coefficient (r)
0.007
Coefficient of determination (R2)
0.000
Life expectancy at birth - Both sexes (years)
No. of data
175
Regression equation
Y = 0.468408 X +
72.465
Correlation coefficient (r)
0.104
Coefficient of determination (R2)
0.011
Fertility rate, total (births per woman)
No. of data
175
Regression equation
Y = -0.059284 X +
2.637
Correlation coefficient (r)
-0.077
Coefficient of determination (R2)
0.006
Suicide - all ages (per 100,000 population)
No. of data
171
Regression equation
Y = -0.132422 X +
9.592
Correlation coefficient (r)
-0.026
Coefficient of determination (R2)
0.001