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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
178 countries/ areas
Highlight:
(No highlight)
Japan
Nordic and Japan
----------
Afghanistan
Albania
Algeria
Angola
Antigua and Barbuda
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
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Estonia
Eswatini
Ethiopia
Fiji
Finland
France
French Polynesia
Gabon
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hong Kong, China
Hungary
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
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
Turkmenistan
Uganda
Ukraine
United Kingdom
United States
Uruguay
Uzbekistan
Vanuatu
Venezuela
Viet Nam
Yemen
Zambia
Zimbabwe
1
Morocco
25.67
2
Libya
24.19
3
North Macedonia
23.88
4
Latvia
20.86
5
Ethiopia
16.72
6
Lithuania
14.41
7
Algeria
13.13
8
Cyprus
8.44
9
Finland
7.80
10
Tunisia
7.73
11
Georgia
7.33
12
Estonia
6.87
13
Thailand
6.77
14
Bahamas
6.74
15
Kazakhstan
6.55
16
Poland
5.91
17
Tajikistan
5.31
18
Sao Tome and Principe
5.30
19
Belarus
5.15
20
Ireland
5.10
21
Armenia
4.26
22
Peru
3.90
23
Bosnia and Herzegovina
3.50
24
Laos
3.44
25
Grenada
3.41
26
United Kingdom
3.05
27
Portugal
2.98
28
Uzbekistan
2.92
29
Netherlands
2.89
30
Slovenia
2.81
31
Ukraine
2.42
32
Trinidad and Tobago
2.40
33
Iraq
2.35
34
Costa Rica
2.31
35
Russian Federation
2.23
36
Luxembourg
2.00
37
Barbados
1.96
38
Slovakia
1.88
39
Sweden
1.70
40
Serbia
1.54
41
Uruguay
1.49
42
Switzerland
1.47
43
Colombia
1.46
44
Benin
1.38
45
Chile
1.34
46
Turkmenistan
1.27
47
Belgium
1.25
48
Romania
1.23
49
Croatia
1.12
50
Mauritania
1.11
51
Dominica
1.04
52
Gabon
1.00
53
Vanuatu
0.92
54
India
0.90
55
Republic of Korea
0.86
56
Mauritius
0.85
57
Taiwan
0.69
58
France
0.64
58
Nepal
0.64
60
Japan
0.63
60
New Zealand
0.63
62
Bulgaria
0.61
63
Austria
0.60
64
Yemen
0.59
65
Seychelles
0.55
65
Spain
0.55
67
Bahrain
0.54
68
North Korea
0.52
69
Czech Republic
0.44
69
Nauru
0.44
71
Canada
0.37
72
Namibia
0.36
73
Iran
0.33
74
Fiji
0.32
75
Lebanon
0.31
76
United States
0.29
77
China
0.27
77
Liberia
0.27
79
Albania
0.24
79
Israel
0.24
81
Paraguay
0.23
82
Italy
0.22
83
Germany
0.20
84
Lesotho
0.19
85
Pakistan
0.18
85
Qatar
0.18
87
Jordan
0.17
87
Zimbabwe
0.17
89
Mongolia
0.15
90
Hungary
0.14
90
Moldova
0.14
90
Philippines
0.14
93
Afghanistan
0.10
93
Egypt
0.10
93
French Polynesia
0.10
96
Denmark
0.08
96
Greece
0.08
96
Kiribati
0.08
96
Kyrgyzstan
0.08
96
New Caledonia
0.08
96
Uganda
0.08
102
Cameroon
0.06
102
Samoa
0.06
104
Timor-Leste
0.05
105
Montenegro
0.04
105
Saudi Arabia
0.04
107
Hong Kong, China
0.03
107
Mali
0.03
109
Bolivia
0.02
109
Ecuador
0.02
109
Indonesia
0.02
109
Jamaica
0.02
109
Maldives
0.02
109
Panama
0.02
109
Papua New Guinea
0.02
116
Comoros
0.01
116
Kenya
0.01
116
Kuwait
0.01
116
Malaysia
0.01
116
Malta
0.01
116
Myanmar (Burma)
0.01
116
Oman
0.01
116
Solomon Islands
0.01
116
St. Kitts and Nevis
0.01
125
Angola
0.00
125
Antigua and Barbuda
0.00
125
Australia
0.00
125
Azerbaijan
0.00
125
Bangladesh
0.00
125
Belize
0.00
125
Bhutan
0.00
125
Botswana
0.00
125
Brazil
0.00
125
Burkina Faso
0.00
125
Burundi
0.00
125
Cambodia
0.00
125
Cape Verde
0.00
125
Central African Republic
0.00
125
Chad
0.00
125
Cote dIvoire
0.00
125
Cuba
0.00
125
Democratic Republic of Congo
0.00
125
Dominican Republic
0.00
125
El Salvador
0.00
125
Eswatini
0.00
125
Ghana
0.00
125
Guatemala
0.00
125
Guinea
0.00
125
Guinea-Bissau
0.00
125
Guyana
0.00
125
Haiti
0.00
125
Honduras
0.00
125
Macao, China
0.00
125
Madagascar
0.00
125
Malawi
0.00
125
Mexico
0.00
125
Mozambique
0.00
125
Nicaragua
0.00
125
Niger
0.00
125
Nigeria
0.00
125
Norway
0.00
125
Republic of Congo
0.00
125
Rwanda
0.00
125
Senegal
0.00
125
Sierra Leone
0.00
125
South Africa
0.00
125
South Sudan
0.00
125
Sri Lanka
0.00
125
St. Lucia
0.00
125
St. Vincent and the Grenadines
0.00
125
Sudan
0.00
125
Suriname
0.00
125
Syrian Arab Republic
0.00
125
Tanzania
0.00
125
Togo
0.00
125
Venezuela
0.00
125
Viet Nam
0.00
125
Zambia
0.00
No data for 60 countries.
American Samoa/ Andorra/ Anguilla/ Argentina/ Aruba/ Bermuda/ British Virgin Islands/ Brunei Darussalam/ Cayman Islands/ Channel Islands/ Cook Islands/ Curacao/ Djibouti/ Equatorial Guinea/ Eritrea/ Faeroe Islands/ Falkland Islands (Malvinas)/ French Guiana/ Gambia/ Gibraltar/ Greenland/ Guadeloupe/ Guam/ Guernsey/ Holy See (Vatican City)/ Iceland/ Jersey/ Kosovo/ Liechtenstein/ Man, Isle of/ Marshall Islands/ Martinique/ Mayotte/ Micronesia, Federated States of/ 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/ Turkiye/ 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
135
Regression equation
Y = 0.022207 X +
5.454
Correlation coefficient (r)
0.089
Coefficient of determination (R2)
0.008
GDP per capita (current US$)
No. of data
172
Regression equation
Y = 65.861614 X +
15736.894
Correlation coefficient (r)
0.013
Coefficient of determination (R2)
0.000
Life expectancy at birth - Both sexes (years)
No. of data
177
Regression equation
Y = 0.267023 X +
70.812
Correlation coefficient (r)
0.147
Coefficient of determination (R2)
0.022
Fertility rate, total (births per woman)
No. of data
177
Regression equation
Y = -0.043979 X +
2.630
Correlation coefficient (r)
-0.148
Coefficient of determination (R2)
0.022
Suicide, age-standardized (per 100 000 population)
No. of data
170
Regression equation
Y = -0.114351 X +
10.237
Correlation coefficient (r)
-0.056
Coefficient of determination (R2)
0.003