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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
184 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
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
Bhutan
18.52
2
Maldives
13.45
3
Spain
12.98
4
Greece
11.61
5
Syrian Arab Republic
9.97
6
Iran
9.77
7
Turkiye
9.45
8
Italy
9.44
9
Australia
7.21
10
Bolivia
6.95
11
Kyrgyzstan
6.20
12
Portugal
6.09
13
Lebanon
6.04
14
United States
5.78
15
Albania
5.48
16
Austria
5.36
17
Tunisia
5.34
18
Libya
4.94
19
Morocco
4.89
20
Switzerland
4.79
21
Taiwan
4.61
22
Israel
4.42
23
North Macedonia
4.33
24
France
4.26
25
Germany
4.07
26
Guinea-Bissau
3.93
27
Mali
3.88
28
Georgia
3.71
29
Burkina Faso
3.56
30
Bahrain
3.53
31
Republic of Korea
3.35
32
Netherlands
3.29
33
Azerbaijan
3.28
34
Canada
3.16
35
Chile
3.08
36
Denmark
2.99
37
Benin
2.89
38
Croatia
2.88
39
Belgium
2.85
40
Kazakhstan
2.78
41
Cyprus
2.77
42
Belarus
2.63
43
Bosnia and Herzegovina
2.53
44
Romania
2.51
45
New Zealand
2.48
46
Qatar
2.47
47
Slovenia
2.43
48
Cote dIvoire
2.28
49
Kiribati
2.23
50
Estonia
2.22
51
Sri Lanka
2.18
52
Hong Kong, China
2.16
53
China
2.11
53
Kuwait
2.11
53
Uzbekistan
2.11
56
Montenegro
2.09
57
Bulgaria
2.06
57
Macao, China
2.06
59
Iceland
2.03
60
Oman
2.02
61
Myanmar (Burma)
1.96
62
Norway
1.94
63
Sweden
1.93
64
Jordan
1.92
65
Armenia
1.91
66
Serbia
1.80
67
Iraq
1.79
68
India
1.75
69
Latvia
1.73
70
Lithuania
1.72
71
Malta
1.71
72
Philippines
1.66
73
Cameroon
1.64
74
Algeria
1.60
75
Slovakia
1.54
76
Afghanistan
1.53
76
Mozambique
1.53
78
Ireland
1.50
79
Guatemala
1.49
80
Mexico
1.48
81
United Kingdom
1.46
82
Saudi Arabia
1.43
83
Ukraine
1.39
84
United Arab Emirates
1.33
85
Poland
1.32
86
Finland
1.26
87
Bangladesh
1.25
88
Czech Republic
1.16
88
Nepal
1.16
88
Seychelles
1.16
91
Viet Nam
1.09
92
Japan
1.01
93
St. Vincent and the Grenadines
0.99
94
Mongolia
0.94
95
Sierra Leone
0.92
95
Thailand
0.92
97
Yemen
0.90
98
Moldova
0.88
99
Luxembourg
0.87
100
Barbados
0.86
100
Malaysia
0.86
102
Eswatini
0.82
102
Trinidad and Tobago
0.82
104
Nigeria
0.79
105
Ghana
0.78
106
New Caledonia
0.69
107
Bahamas
0.67
108
Guyana
0.66
109
Costa Rica
0.62
110
Papua New Guinea
0.61
111
French Polynesia
0.59
112
Tajikistan
0.58
113
Brazil
0.57
113
Mauritius
0.57
113
North Korea
0.57
116
Liberia
0.56
117
Kenya
0.52
118
Ethiopia
0.51
118
St. Kitts and Nevis
0.51
120
Samoa
0.50
121
Indonesia
0.47
121
Tanzania
0.47
123
Argentina
0.45
124
Panama
0.43
125
Solomon Islands
0.42
125
Turkmenistan
0.42
127
Belize
0.40
128
Egypt
0.38
129
Grenada
0.37
130
Peru
0.36
131
Russian Federation
0.34
132
Senegal
0.33
133
Antigua and Barbuda
0.31
133
Colombia
0.31
133
Laos
0.31
136
Gambia
0.30
136
Honduras
0.30
136
Hungary
0.30
139
Ecuador
0.29
140
Uruguay
0.26
141
Pakistan
0.25
142
St. Lucia
0.22
143
Madagascar
0.20
144
El Salvador
0.19
144
Jamaica
0.19
146
Cambodia
0.18
146
Suriname
0.18
148
Dominican Republic
0.16
149
South Africa
0.15
150
Fiji
0.14
150
Togo
0.14
152
Zimbabwe
0.13
153
Botswana
0.11
153
Malawi
0.11
153
Namibia
0.11
156
Angola
0.07
156
Cape Verde
0.07
158
Lesotho
0.06
159
Micronesia, Federated States of
0.05
159
Niger
0.05
161
Djibouti
0.04
161
Nicaragua
0.04
161
Vanuatu
0.04
164
Gabon
0.03
164
Paraguay
0.03
164
Venezuela
0.03
167
Dominica
0.02
168
Comoros
0.01
168
Guinea
0.01
168
Sao Tome and Principe
0.01
168
Timor-Leste
0.01
168
Uganda
0.01
173
Burundi
0.00
173
Central African Republic
0.00
173
Chad
0.00
173
Cuba
0.00
173
Democratic Republic of Congo
0.00
173
Haiti
0.00
173
Mauritania
0.00
173
Republic of Congo
0.00
173
Rwanda
0.00
173
South Sudan
0.00
173
Sudan
0.00
173
Zambia
0.00
No data for 54 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/ Nauru/ 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 = 0.110652 X +
5.287
Correlation coefficient (r)
0.223
Coefficient of determination (R2)
0.050
GDP per capita (current US$)
No. of data
177
Regression equation
Y = 1730.378017 X +
12824.173
Correlation coefficient (r)
0.209
Coefficient of determination (R2)
0.044
Life expectancy at birth - Both sexes (years)
No. of data
183
Regression equation
Y = 1.000816 X +
69.429
Correlation coefficient (r)
0.357
Coefficient of determination (R2)
0.127
Fertility rate, total (births per woman)
No. of data
183
Regression equation
Y = -0.132072 X +
2.801
Correlation coefficient (r)
-0.289
Coefficient of determination (R2)
0.084
Suicide, age-standardized (per 100 000 population)
No. of data
177
Regression equation
Y = -0.593973 X +
11.243
Correlation coefficient (r)
-0.187
Coefficient of determination (R2)
0.035