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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
Cambodia
33.12
2
Myanmar (Burma)
31.88
3
Laos
24.04
4
Bangladesh
22.41
5
Indonesia
19.72
6
Viet Nam
17.82
7
Finland
17.60
8
China
17.48
9
Macao, China
17.01
10
Egypt
14.98
11
Uganda
14.20
12
Israel
13.18
13
Hong Kong, China
12.89
14
Norway
10.60
15
Iceland
9.95
16
Malawi
9.68
17
Thailand
9.10
18
Sweden
8.72
19
Zambia
8.04
20
Philippines
7.45
21
Luxembourg
7.32
21
Republic of Congo
7.32
23
Taiwan
6.80
24
Belgium
6.73
25
Benin
6.59
26
Costa Rica
6.55
27
Chad
6.51
28
United Arab Emirates
6.39
29
Malaysia
6.36
30
Central African Republic
6.32
31
Russian Federation
6.28
32
India
6.25
33
Iran
6.23
34
Qatar
5.82
35
Switzerland
5.73
36
Togo
5.67
37
Mali
5.64
38
Gabon
5.43
39
Cyprus
5.40
40
United States
5.34
41
Canada
5.23
42
Tanzania
5.13
43
Japan
5.11
44
Ghana
4.67
45
Colombia
4.61
46
Germany
4.36
47
Sri Lanka
4.34
48
Mexico
4.32
49
France
4.29
50
Armenia
4.28
51
Brazil
4.27
52
Austria
4.26
53
Australia
4.22
54
Malta
4.15
55
Portugal
4.01
56
Moldova
3.98
57
Italy
3.88
58
Mozambique
3.82
59
Uzbekistan
3.71
60
Cote dIvoire
3.58
61
Ireland
3.55
62
Paraguay
3.46
63
Czech Republic
3.41
64
Nepal
3.25
65
Mauritania
3.23
66
Bahrain
3.22
67
United Kingdom
3.16
68
Hungary
3.12
69
Spain
3.03
70
South Sudan
2.89
71
Slovakia
2.83
72
New Zealand
2.70
73
Democratic Republic of Congo
2.69
74
Saudi Arabia
2.66
75
Greece
2.58
76
Zimbabwe
2.57
77
Bhutan
2.52
78
Kuwait
2.51
78
Turkmenistan
2.51
80
Slovenia
2.47
81
Peru
2.42
82
Ukraine
2.39
83
Iraq
2.36
83
Montenegro
2.36
85
Romania
2.25
86
Cameroon
2.15
86
Denmark
2.15
88
Rwanda
2.13
89
Serbia
2.06
90
Guinea
2.04
91
Kenya
2.03
92
Republic of Korea
2.01
93
Bulgaria
1.99
94
Cuba
1.93
95
Burundi
1.85
95
Latvia
1.85
97
Senegal
1.80
98
Dominica
1.71
99
Lithuania
1.67
100
Georgia
1.62
101
Niger
1.58
102
Bahamas
1.54
103
Papua New Guinea
1.53
104
Poland
1.51
104
Uruguay
1.51
106
Jamaica
1.49
107
Trinidad and Tobago
1.46
108
French Polynesia
1.42
109
Namibia
1.39
110
Estonia
1.36
110
Honduras
1.36
112
Guyana
1.35
113
El Salvador
1.34
114
Lebanon
1.33
114
Panama
1.33
116
Belarus
1.32
117
Croatia
1.31
117
Ecuador
1.31
117
Turkiye
1.31
120
Nigeria
1.28
121
Burkina Faso
1.22
121
Sierra Leone
1.22
123
Lesotho
1.21
123
Mauritius
1.21
125
Pakistan
1.20
126
Antigua and Barbuda
1.15
126
Bosnia and Herzegovina
1.15
128
Angola
1.14
129
North Macedonia
1.12
130
Chile
1.10
130
Dominican Republic
1.10
130
Gambia
1.10
133
Sudan
1.05
134
Bolivia
0.99
135
Netherlands
0.98
136
St. Lucia
0.97
137
Barbados
0.95
137
St. Kitts and Nevis
0.95
139
New Caledonia
0.94
140
Venezuela
0.93
141
Suriname
0.91
142
Guatemala
0.78
143
Azerbaijan
0.76
144
Kazakhstan
0.70
145
Grenada
0.67
146
Albania
0.57
147
Madagascar
0.56
147
Morocco
0.56
147
North Korea
0.56
150
Jordan
0.55
151
Maldives
0.52
152
Ethiopia
0.51
153
Kyrgyzstan
0.50
153
Seychelles
0.50
155
Cape Verde
0.46
155
Oman
0.46
157
Samoa
0.45
158
Fiji
0.42
159
Nicaragua
0.40
160
Syrian Arab Republic
0.37
161
South Africa
0.30
162
Afghanistan
0.26
162
Tajikistan
0.26
162
Tunisia
0.26
165
Eswatini
0.25
166
Argentina
0.22
166
Belize
0.22
166
Liberia
0.22
169
Haiti
0.19
170
Algeria
0.18
171
Timor-Leste
0.16
172
Botswana
0.14
173
Guinea-Bissau
0.09
174
Vanuatu
0.08
175
Micronesia, Federated States of
0.05
176
Comoros
0.04
176
Libya
0.04
176
St. Vincent and the Grenadines
0.04
179
Kiribati
0.03
179
Nauru
0.03
181
Djibouti
0.02
181
Mongolia
0.02
183
Solomon Islands
0.01
184
Sao Tome and Principe
0.00
184
Yemen
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 = 0.003005 X +
5.504
Correlation coefficient (r)
0.014
Coefficient of determination (R2)
0.000
GDP per capita (current US$)
No. of data
178
Regression equation
Y = 612.346410 X +
13821.998
Correlation coefficient (r)
0.145
Coefficient of determination (R2)
0.021
Life expectancy at birth - Both sexes (years)
No. of data
184
Regression equation
Y = 0.179116 X +
70.662
Correlation coefficient (r)
0.123
Coefficient of determination (R2)
0.015
Fertility rate, total (births per woman)
No. of data
184
Regression equation
Y = -0.023704 X +
2.638
Correlation coefficient (r)
-0.100
Coefficient of determination (R2)
0.010
Suicide, age-standardized (per 100 000 population)
No. of data
177
Regression equation
Y = -0.201108 X +
10.811
Correlation coefficient (r)
-0.119
Coefficient of determination (R2)
0.014