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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
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
North Macedonia
70.70
2
Albania
68.63
3
Slovenia
40.13
4
Uzbekistan
38.11
5
Armenia
35.13
6
Turkmenistan
26.34
7
Romania
24.61
8
Tajikistan
22.69
9
Moldova
22.31
10
Turkiye
22.21
11
Greece
21.85
12
Azerbaijan
17.11
13
Afghanistan
16.89
14
Croatia
16.20
15
Iran
15.23
16
Georgia
14.31
17
Germany
14.12
18
Czech Republic
14.05
19
Serbia
13.96
20
Chile
13.02
21
Egypt
12.81
22
Algeria
12.44
23
Bosnia and Herzegovina
11.73
24
Iraq
11.64
25
Spain
11.36
26
Syrian Arab Republic
10.94
27
Morocco
10.28
28
Barbados
10.05
29
Italy
9.84
30
Tunisia
9.82
31
Kazakhstan
8.89
32
Montenegro
8.40
33
Israel
8.30
34
Slovakia
8.23
35
Canada
8.07
36
China
7.82
37
France
7.48
38
United States
7.22
39
Denmark
7.04
40
Bulgaria
6.20
41
Belgium
5.91
42
Saudi Arabia
5.76
43
Norway
5.58
44
Hungary
5.40
45
Libya
5.31
46
Brazil
5.21
47
United Kingdom
5.15
48
Taiwan
5.09
49
Grenada
5.05
50
Seychelles
4.74
51
Australia
4.66
52
Ukraine
4.64
53
Cyprus
4.59
54
Finland
4.50
55
Iceland
4.48
56
Yemen
4.47
57
Republic of Korea
4.28
58
Estonia
3.96
59
Austria
3.85
60
Jordan
3.79
60
Malta
3.79
62
Kuwait
3.71
63
Netherlands
3.53
64
Bahrain
3.51
65
Macao, China
3.50
66
Poland
3.47
67
Switzerland
3.46
68
Ireland
3.43
69
Luxembourg
3.42
70
Argentina
3.28
71
Thailand
3.26
72
Oman
3.21
73
Qatar
2.90
74
Sweden
2.86
75
Russian Federation
2.61
76
Bahamas
2.49
77
Latvia
2.43
78
Peru
2.41
79
Costa Rica
2.37
80
Mexico
2.28
81
Belarus
2.06
82
Lithuania
1.96
83
India
1.93
84
Malaysia
1.86
85
South Africa
1.84
86
Colombia
1.82
87
New Caledonia
1.81
88
Antigua and Barbuda
1.76
89
Kyrgyzstan
1.74
90
Trinidad and Tobago
1.73
91
Guatemala
1.72
92
Hong Kong, China
1.66
93
Panama
1.64
94
United Arab Emirates
1.58
95
Namibia
1.52
96
Botswana
1.40
96
French Polynesia
1.40
98
Ecuador
1.30
99
Lebanon
1.25
100
Dominican Republic
1.23
101
New Zealand
1.22
102
El Salvador
1.18
103
Japan
1.14
104
Suriname
1.08
105
Dominica
1.03
106
St. Kitts and Nevis
1.02
107
Eswatini
1.01
108
Bolivia
0.98
109
Mauritius
0.93
110
Cape Verde
0.91
111
Maldives
0.89
112
Fiji
0.87
112
Philippines
0.87
114
Venezuela
0.83
115
Pakistan
0.77
115
St. Vincent and the Grenadines
0.77
117
Belize
0.76
118
Djibouti
0.70
119
Portugal
0.69
120
Nepal
0.68
121
Viet Nam
0.65
122
Sri Lanka
0.61
123
St. Lucia
0.56
124
Bangladesh
0.52
125
Guyana
0.51
126
Jamaica
0.48
127
Madagascar
0.45
127
Mongolia
0.45
129
Gabon
0.42
129
Honduras
0.42
131
Indonesia
0.34
132
Lesotho
0.32
133
Uruguay
0.29
134
Nicaragua
0.26
135
Ghana
0.21
136
Senegal
0.16
137
Zambia
0.15
138
Paraguay
0.12
139
Myanmar (Burma)
0.11
140
Zimbabwe
0.10
141
Samoa
0.09
141
South Sudan
0.09
141
Tanzania
0.09
144
Sudan
0.08
145
Kenya
0.07
146
Mauritania
0.06
147
Cambodia
0.05
147
Cote dIvoire
0.05
147
Ethiopia
0.05
147
Kiribati
0.05
147
Sao Tome and Principe
0.05
147
Vanuatu
0.05
153
Burkina Faso
0.04
153
Comoros
0.04
153
Liberia
0.04
153
Timor-Leste
0.04
157
Mali
0.03
157
Nauru
0.03
157
Nigeria
0.03
160
Benin
0.02
160
Bhutan
0.02
160
Cameroon
0.02
160
Guinea
0.02
160
Laos
0.02
160
Malawi
0.02
160
Niger
0.02
160
North Korea
0.02
160
Republic of Congo
0.02
160
Solomon Islands
0.02
160
Togo
0.02
160
Uganda
0.02
172
Angola
0.01
172
Cuba
0.01
172
Democratic Republic of Congo
0.01
172
Gambia
0.01
172
Guinea-Bissau
0.01
172
Haiti
0.01
172
Micronesia, Federated States of
0.01
172
Mozambique
0.01
172
Papua New Guinea
0.01
172
Sierra Leone
0.01
182
Burundi
0.00
182
Central African Republic
0.00
182
Chad
0.00
182
Rwanda
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 = 0.013755 X +
5.435
Correlation coefficient (r)
0.125
Coefficient of determination (R2)
0.016
GDP per capita (current US$)
No. of data
178
Regression equation
Y = 115.640177 X +
15603.251
Correlation coefficient (r)
0.051
Coefficient of determination (R2)
0.003
Life expectancy at birth - Both sexes (years)
No. of data
184
Regression equation
Y = 0.197996 X +
70.331
Correlation coefficient (r)
0.251
Coefficient of determination (R2)
0.063
Fertility rate, total (births per woman)
No. of data
184
Regression equation
Y = -0.031983 X +
2.712
Correlation coefficient (r)
-0.249
Coefficient of determination (R2)
0.062
Suicide, age-standardized (per 100 000 population)
No. of data
177
Regression equation
Y = -0.145276 X +
10.824
Correlation coefficient (r)
-0.163
Coefficient of determination (R2)
0.027