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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
183 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
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 Kingdom
United States
Uruguay
Uzbekistan
Vanuatu
Venezuela
Viet Nam
Yemen
Zambia
Zimbabwe
1
Hong Kong, China
55.24
2
Poland
54.95
3
Spain
52.56
4
Lithuania
50.69
5
Croatia
49.63
6
Hungary
48.30
7
Macao, China
46.89
8
Austria
45.03
9
Czech Republic
44.54
10
Germany
44.01
11
Montenegro
43.24
12
Belarus
39.18
13
Slovakia
38.82
14
Latvia
38.44
15
Republic of Korea
38.40
16
Taiwan
38.35
17
Viet Nam
38.18
18
Portugal
38.09
19
Estonia
37.73
20
Serbia
37.33
21
Cyprus
36.78
22
China
35.34
23
Romania
34.50
24
Luxembourg
33.14
25
Italy
32.88
26
Belgium
32.80
27
Ireland
31.11
28
France
30.97
29
Finland
30.80
30
United States
30.64
31
Bulgaria
30.04
32
Sweden
28.61
33
Russian Federation
28.20
34
Nauru
28.17
35
Switzerland
27.78
36
Netherlands
27.71
37
Malta
25.84
38
Slovenia
25.79
39
New Zealand
25.15
40
Greece
25.03
41
Australia
24.24
42
United Kingdom
24.04
43
Bahamas
23.77
44
Norway
23.65
45
Chile
22.05
46
Iceland
21.80
47
Cuba
21.61
48
Canada
21.39
49
Japan
21.33
50
Belize
20.81
51
Myanmar (Burma)
20.10
52
Moldova
19.17
53
Mexico
19.08
54
New Caledonia
17.35
55
Ukraine
16.73
56
Micronesia, Federated States of
16.15
57
Panama
15.91
58
St. Kitts and Nevis
15.52
59
Burkina Faso
15.21
60
St. Lucia
14.94
61
Grenada
14.61
62
Philippines
14.51
63
Argentina
14.42
64
French Polynesia
14.32
65
Antigua and Barbuda
14.31
66
Brazil
14.19
67
Uruguay
14.12
68
Seychelles
13.72
69
Laos
13.52
70
Denmark
13.47
71
Thailand
13.14
72
Ecuador
12.89
73
Costa Rica
12.74
74
North Macedonia
12.62
75
Vanuatu
12.38
76
Barbados
12.32
77
Samoa
12.25
78
Malawi
11.84
79
Timor-Leste
11.49
80
Dominica
11.44
81
St. Vincent and the Grenadines
11.26
82
Colombia
10.52
83
Kiribati
10.34
84
Papua New Guinea
9.91
85
Dominican Republic
9.85
86
Bolivia
9.73
87
Bosnia and Herzegovina
9.29
88
Georgia
9.28
89
Paraguay
8.83
90
Gabon
8.29
91
Kazakhstan
8.21
92
Armenia
8.13
93
Suriname
7.97
94
Malaysia
7.44
95
Cape Verde
7.30
96
Guinea-Bissau
7.23
97
Angola
7.04
98
Republic of Congo
6.78
99
Cambodia
5.92
100
Trinidad and Tobago
5.61
101
Nicaragua
5.30
102
Liberia
5.29
103
Albania
5.25
104
Honduras
5.04
105
Guyana
5.02
106
El Salvador
4.72
107
Sao Tome and Principe
4.69
108
Peru
4.53
109
Namibia
4.45
110
Venezuela
4.43
111
Solomon Islands
4.40
112
North Korea
4.28
113
South Africa
4.15
114
Central African Republic
4.12
115
Haiti
4.03
116
Lesotho
3.79
117
Fiji
3.69
118
Guatemala
3.64
119
Mauritius
3.18
120
Mozambique
3.09
121
Jamaica
3.05
122
Uganda
2.87
123
Togo
2.32
124
Kyrgyzstan
2.12
125
Eswatini
2.02
126
Bhutan
1.89
127
Israel
1.55
128
Zambia
1.54
129
Nigeria
1.47
130
Cameroon
1.24
131
Ghana
1.17
131
Qatar
1.17
131
Senegal
1.17
134
Cote dIvoire
1.01
134
Nepal
1.01
136
Sierra Leone
1.00
137
Madagascar
0.98
138
Rwanda
0.97
139
Indonesia
0.89
140
Burundi
0.85
141
Bahrain
0.75
142
Benin
0.74
143
Zimbabwe
0.68
144
Mongolia
0.61
145
Azerbaijan
0.58
146
Lebanon
0.55
147
Democratic Republic of Congo
0.51
148
Botswana
0.48
149
Kenya
0.41
150
Maldives
0.36
150
Oman
0.36
152
Gambia
0.28
153
Tanzania
0.25
154
India
0.24
155
Guinea
0.22
156
Uzbekistan
0.16
157
Chad
0.15
158
Djibouti
0.13
159
Comoros
0.12
160
Tajikistan
0.09
160
Turkmenistan
0.09
162
Niger
0.06
162
Sri Lanka
0.06
164
Mali
0.05
165
Algeria
0.02
165
Ethiopia
0.02
165
Libya
0.02
165
Morocco
0.02
169
Egypt
0.01
169
Jordan
0.01
169
Mauritania
0.01
169
South Sudan
0.01
169
Tunisia
0.01
174
Afghanistan
0.00
174
Bangladesh
0.00
174
Iran
0.00
174
Iraq
0.00
174
Kuwait
0.00
174
Pakistan
0.00
174
Sudan
0.00
174
Syrian Arab Republic
0.00
174
Turkiye
0.00
174
Yemen
0.00
No data for 55 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/ Saudi Arabia/ Singapore/ Sint Maarten (Dutch part)/ Somalia/ 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
138
Regression equation
Y = 0.044824 X +
4.861
Correlation coefficient (r)
0.598
Coefficient of determination (R2)
0.358
GDP per capita (current US$)
No. of data
176
Regression equation
Y = 768.256852 X +
5581.805
Correlation coefficient (r)
0.510
Coefficient of determination (R2)
0.260
Life expectancy at birth - Both sexes (years)
No. of data
182
Regression equation
Y = 0.307016 X +
67.218
Correlation coefficient (r)
0.583
Coefficient of determination (R2)
0.340
Fertility rate, total (births per woman)
No. of data
182
Regression equation
Y = -0.048438 X +
3.194
Correlation coefficient (r)
-0.563
Coefficient of determination (R2)
0.317
Suicide, age-standardized (per 100 000 population)
No. of data
175
Regression equation
Y = 0.014184 X +
9.945
Correlation coefficient (r)
0.023
Coefficient of determination (R2)
0.001