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
177 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
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 Kingdom
United States
Uruguay
Uzbekistan
Vanuatu
Venezuela
Viet Nam
Yemen
Zambia
Zimbabwe
1
Spain
55.21
2
Poland
54.15
3
Macao, China
53.02
4
Croatia
52.96
5
Hungary
51.93
6
Hong Kong, China
50.92
7
Lithuania
47.81
8
Austria
46.69
9
Czech Republic
45.00
10
Montenegro
44.72
11
Germany
42.21
12
Latvia
41.56
13
Republic of Korea
40.49
14
Portugal
40.46
15
China
39.17
16
Taiwan
38.61
17
Cyprus
38.59
18
Belarus
38.28
19
Viet Nam
38.22
20
Serbia
38.00
21
Italy
37.82
22
Romania
37.48
23
Estonia
36.99
24
Slovakia
35.71
25
Finland
32.71
26
Belgium
32.39
27
Luxembourg
32.19
28
France
31.92
29
Bulgaria
31.61
30
United States
30.84
31
Ireland
30.72
32
Switzerland
29.97
33
Sweden
29.50
34
Greece
28.87
35
Australia
28.52
36
Slovenia
28.18
37
Russian Federation
27.09
38
New Zealand
26.66
39
Netherlands
26.15
40
Denmark
25.85
41
Bahamas
25.75
42
Canada
24.97
43
Malta
24.95
44
Norway
24.55
45
United Kingdom
23.95
46
Chile
23.78
47
Japan
21.85
48
Iceland
21.28
49
St. Lucia
21.21
50
Belize
21.04
51
Myanmar (Burma)
18.46
52
Mexico
18.28
53
Philippines
18.18
54
Cuba
18.14
55
Samoa
17.88
56
Ukraine
17.36
57
Moldova
17.25
58
New Caledonia
17.20
59
Panama
17.00
60
French Polynesia
15.59
61
Ecuador
15.07
62
Uruguay
14.65
63
Argentina
14.49
63
Malawi
14.49
65
Brazil
14.35
66
Vanuatu
13.86
67
St. Kitts and Nevis
13.74
68
Thailand
13.58
69
Seychelles
13.48
70
Costa Rica
13.04
71
Laos
12.16
72
Dominica
12.08
73
Armenia
11.53
74
Timor-Leste
11.34
75
Colombia
11.31
76
Kiribati
11.15
77
Dominican Republic
11.01
78
St. Vincent and the Grenadines
10.80
79
Cape Verde
10.48
80
Papua New Guinea
10.15
81
Georgia
9.83
82
Bosnia and Herzegovina
9.80
83
Bolivia
9.74
84
Grenada
9.35
85
Barbados
9.05
86
North Macedonia
8.88
87
Malaysia
7.98
88
Paraguay
7.95
89
Angola
7.76
90
Suriname
7.74
91
Kazakhstan
7.55
92
Trinidad and Tobago
7.32
93
Cambodia
6.66
94
Albania
6.56
94
Gabon
6.56
96
Antigua and Barbuda
6.37
97
Republic of Congo
6.31
98
Guinea-Bissau
6.23
99
Solomon Islands
5.63
100
Lesotho
5.44
101
Nicaragua
5.16
102
Honduras
4.98
103
Liberia
4.85
104
Venezuela
4.79
105
Peru
4.78
106
South Africa
4.75
107
Guatemala
4.69
108
Sao Tome and Principe
4.58
109
North Korea
4.47
110
Guyana
4.45
111
Central African Republic
4.34
112
Fiji
4.24
113
Mauritius
4.19
114
El Salvador
3.82
115
Namibia
3.63
116
Mozambique
3.60
117
Haiti
3.59
118
Kyrgyzstan
3.18
119
Jamaica
3.08
120
Uganda
2.98
121
Togo
2.57
122
Madagascar
2.30
123
Eswatini
2.15
124
Burkina Faso
2.02
125
Zambia
1.95
126
Israel
1.54
127
Nigeria
1.50
128
Cameroon
1.25
129
Cote dIvoire
1.15
130
Sierra Leone
1.07
131
Rwanda
1.06
132
Senegal
1.05
133
Nepal
1.00
134
Ghana
0.91
134
Lebanon
0.91
136
Mongolia
0.90
137
Indonesia
0.83
138
Benin
0.82
139
Botswana
0.67
140
Democratic Republic of Congo
0.62
141
Zimbabwe
0.60
142
Burundi
0.58
143
Azerbaijan
0.57
144
Oman
0.55
145
Maldives
0.50
146
Kenya
0.38
147
Gambia
0.32
147
Kuwait
0.32
149
India
0.26
149
Tanzania
0.26
151
Guinea
0.20
152
Uzbekistan
0.15
153
Mali
0.14
154
Chad
0.12
154
Tajikistan
0.12
156
Djibouti
0.10
157
Niger
0.07
157
Turkmenistan
0.07
159
Sri Lanka
0.06
160
Libya
0.05
161
Comoros
0.03
162
Algeria
0.02
162
Ethiopia
0.02
162
Morocco
0.02
165
Afghanistan
0.01
165
Egypt
0.01
165
Iraq
0.01
165
Jordan
0.01
169
Bangladesh
0.00
169
Iran
0.00
169
Mauritania
0.00
169
Pakistan
0.00
169
Sudan
0.00
169
Syrian Arab Republic
0.00
169
Tunisia
0.00
169
Turkiye
0.00
169
Yemen
0.00
No data for 61 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/ Saudi Arabia/ Singapore/ Sint Maarten (Dutch part)/ Somalia/ South Sudan/ Tokelau/ Tonga/ Turks and Caicos Islands/ Tuvalu/ United Arab Emirates/ 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
139
Regression equation
Y = 0.042518 X +
4.895
Correlation coefficient (r)
0.627
Coefficient of determination (R2)
0.393
GDP per capita (current US$)
No. of data
170
Regression equation
Y = 812.260966 X +
3703.559
Correlation coefficient (r)
0.568
Coefficient of determination (R2)
0.323
Life expectancy at birth - Both sexes (years)
No. of data
174
Regression equation
Y = 0.284330 X +
68.838
Correlation coefficient (r)
0.595
Coefficient of determination (R2)
0.354
Fertility rate, total (births per woman)
No. of data
174
Regression equation
Y = -0.049839 X +
3.285
Correlation coefficient (r)
-0.614
Coefficient of determination (R2)
0.377
Suicide - all ages (per 100,000 population)
No. of data
170
Regression equation
Y = 0.162241 X +
7.396
Correlation coefficient (r)
0.294
Coefficient of determination (R2)
0.086