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
179 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
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
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
New Zealand
9.17
2
Belgium
7.88
3
France
7.30
4
Iceland
6.93
5
Germany
6.05
6
Netherlands
5.99
7
Austria
5.46
8
Lithuania
5.35
9
Pakistan
5.21
10
Belarus
5.16
11
Sweden
5.08
12
Finland
5.02
13
Switzerland
4.97
14
Estonia
4.19
15
Czech Republic
4.17
16
French Polynesia
3.91
17
Australia
3.81
18
Poland
3.73
19
Canada
3.72
20
Mongolia
3.71
21
Azerbaijan
3.61
22
Denmark
3.46
23
Slovakia
3.45
24
Latvia
3.35
25
India
3.30
26
Norway
3.10
27
Uzbekistan
3.01
28
United Kingdom
2.89
29
Turkiye
2.85
30
North Macedonia
2.80
31
Iran
2.70
32
Russian Federation
2.66
33
Luxembourg
2.60
34
Fiji
2.59
35
United States
2.43
36
Portugal
2.37
37
Panama
2.26
38
Ireland
2.23
39
Slovenia
2.20
40
Samoa
2.19
41
Kuwait
2.08
42
Nepal
2.02
43
Montenegro
1.98
44
Italy
1.92
44
New Caledonia
1.92
46
Bahamas
1.84
47
Uruguay
1.75
48
Cyprus
1.73
49
Croatia
1.69
50
Chile
1.61
51
Costa Rica
1.57
51
Moldova
1.57
53
Albania
1.52
54
Macao, China
1.44
55
Morocco
1.42
55
Republic of Korea
1.42
57
Seychelles
1.40
58
Ukraine
1.34
59
Armenia
1.33
59
Hong Kong, China
1.33
61
Egypt
1.31
61
Israel
1.31
63
Bulgaria
1.30
64
Malta
1.29
65
Romania
1.28
66
Antigua and Barbuda
1.25
66
Spain
1.25
68
Hungary
1.24
69
Kazakhstan
1.19
69
Saudi Arabia
1.19
71
Georgia
1.18
72
Maldives
1.15
73
Afghanistan
1.06
74
United Arab Emirates
1.05
75
Greece
1.00
75
Mauritius
1.00
77
Myanmar (Burma)
0.96
78
Barbados
0.95
78
St. Lucia
0.95
78
Taiwan
0.95
81
Niger
0.92
82
Oman
0.90
83
Tunisia
0.82
84
Lebanon
0.76
85
Trinidad and Tobago
0.74
86
Tanzania
0.71
87
Honduras
0.69
88
Botswana
0.66
88
Namibia
0.66
90
Japan
0.65
91
Belize
0.59
92
Bosnia and Herzegovina
0.56
93
Brazil
0.54
94
Serbia
0.53
95
Malaysia
0.52
96
Dominican Republic
0.50
96
Syrian Arab Republic
0.50
96
Turkmenistan
0.50
99
Argentina
0.48
100
South Africa
0.45
101
Colombia
0.43
101
Jamaica
0.43
103
Grenada
0.41
104
Algeria
0.40
105
St. Kitts and Nevis
0.38
106
Kenya
0.34
107
Cape Verde
0.33
107
St. Vincent and the Grenadines
0.33
109
Kyrgyzstan
0.30
109
Libya
0.30
111
Mauritania
0.29
112
Eswatini
0.28
112
Jordan
0.28
114
Guyana
0.27
115
Iraq
0.24
116
Mexico
0.22
117
Thailand
0.21
118
Bangladesh
0.20
118
Peru
0.20
120
Vanuatu
0.19
121
Ecuador
0.17
122
Djibouti
0.15
122
Guatemala
0.15
122
Rwanda
0.15
122
Zimbabwe
0.15
126
China
0.14
126
Ethiopia
0.14
126
Suriname
0.14
129
Bolivia
0.13
130
Burkina Faso
0.12
131
Nicaragua
0.11
131
Viet Nam
0.11
133
Cuba
0.10
133
El Salvador
0.10
133
Gabon
0.10
133
Gambia
0.10
133
Sao Tome and Principe
0.10
133
Senegal
0.10
133
Zambia
0.10
140
Solomon Islands
0.08
140
Sri Lanka
0.08
142
Dominica
0.07
142
Ghana
0.07
142
Nigeria
0.07
145
Indonesia
0.06
145
Kiribati
0.06
145
Philippines
0.06
148
Angola
0.05
148
Guinea
0.05
148
Uganda
0.05
151
Cambodia
0.04
151
Papua New Guinea
0.04
151
Yemen
0.04
154
Burundi
0.03
154
Chad
0.03
154
Cote dIvoire
0.03
154
Republic of Congo
0.03
154
Togo
0.03
159
Comoros
0.02
159
Lesotho
0.02
159
Timor-Leste
0.02
162
Benin
0.01
162
Cameroon
0.01
162
Central African Republic
0.01
162
Haiti
0.01
162
Liberia
0.01
162
Madagascar
0.01
162
Mali
0.01
162
Mozambique
0.01
162
North Korea
0.01
162
Sudan
0.01
162
Tajikistan
0.01
162
Venezuela
0.01
174
Democratic Republic of Congo
0.00
174
Guinea-Bissau
0.00
174
Laos
0.00
174
Malawi
0.00
174
Paraguay
0.00
174
Sierra Leone
0.00
No data for 59 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/ 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 = 0.334406 X +
5.029
Correlation coefficient (r)
0.574
Coefficient of determination (R2)
0.329
GDP per capita (current US$)
No. of data
172
Regression equation
Y = 7570.131712 X +
5111.594
Correlation coefficient (r)
0.612
Coefficient of determination (R2)
0.375
Life expectancy at birth - Both sexes (years)
No. of data
176
Regression equation
Y = 2.150787 X +
69.854
Correlation coefficient (r)
0.526
Coefficient of determination (R2)
0.277
Fertility rate, total (births per woman)
No. of data
176
Regression equation
Y = -0.325189 X +
3.035
Correlation coefficient (r)
-0.467
Coefficient of determination (R2)
0.218
Suicide - all ages (per 100,000 population)
No. of data
172
Regression equation
Y = 1.013182 X +
8.143
Correlation coefficient (r)
0.222
Coefficient of determination (R2)
0.049