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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
Taiwan
9.30
2
Japan
8.24
3
Republic of Korea
6.25
4
Benin
6.19
5
China
5.41
6
Macao, China
4.82
7
Viet Nam
4.23
8
Timor-Leste
3.10
9
Austria
3.03
10
Kiribati
2.84
11
Nauru
2.83
12
North Korea
2.71
13
Hong Kong, China
2.43
14
Seychelles
2.35
15
Cambodia
2.29
16
Samoa
2.24
17
Micronesia, Federated States of
2.07
18
Thailand
2.06
19
Malaysia
2.05
20
Rwanda
1.97
21
Malawi
1.96
22
Guyana
1.90
23
Panama
1.80
24
Belize
1.76
25
Zambia
1.70
26
Laos
1.68
27
Uganda
1.42
28
New Zealand
1.32
29
Belarus
1.29
30
Peru
1.26
31
Indonesia
1.24
31
Tunisia
1.24
33
New Caledonia
1.22
34
Canada
1.17
35
Burkina Faso
1.12
36
Botswana
1.09
37
Fiji
0.99
38
Cameroon
0.91
39
Germany
0.78
40
Bosnia and Herzegovina
0.77
41
Australia
0.76
42
El Salvador
0.73
43
Slovenia
0.70
44
Bangladesh
0.69
45
Ireland
0.58
46
Bolivia
0.57
47
Liberia
0.56
47
Myanmar (Burma)
0.56
49
St. Vincent and the Grenadines
0.55
50
Ethiopia
0.54
51
Cuba
0.52
51
Mauritius
0.52
53
Nigeria
0.50
54
Czech Republic
0.48
55
North Macedonia
0.44
56
Belgium
0.41
56
Colombia
0.41
58
South Africa
0.40
59
Sweden
0.37
59
Vanuatu
0.37
61
Iceland
0.36
62
Norway
0.35
63
Angola
0.34
63
United Kingdom
0.34
65
Qatar
0.33
66
Turkmenistan
0.31
67
United Arab Emirates
0.29
68
Solomon Islands
0.28
69
Israel
0.27
70
Chile
0.26
70
Zimbabwe
0.26
72
Eswatini
0.25
73
Barbados
0.24
73
Costa Rica
0.24
73
Democratic Republic of Congo
0.24
73
Guatemala
0.24
77
Bahrain
0.23
77
Estonia
0.23
77
Trinidad and Tobago
0.23
80
Switzerland
0.22
81
Denmark
0.20
81
France
0.20
81
French Polynesia
0.20
81
Kuwait
0.20
85
Burundi
0.19
85
Mali
0.19
85
Saudi Arabia
0.19
85
Suriname
0.19
89
Latvia
0.18
89
Maldives
0.18
89
Malta
0.18
92
Finland
0.17
92
Mongolia
0.17
94
India
0.16
94
Luxembourg
0.16
96
Spain
0.14
97
Papua New Guinea
0.13
97
Philippines
0.13
97
Russian Federation
0.13
100
Cyprus
0.12
101
Tanzania
0.11
101
United States
0.11
103
Bhutan
0.10
103
Kenya
0.10
103
Lesotho
0.10
103
Lithuania
0.10
103
Poland
0.10
103
St. Kitts and Nevis
0.10
109
Kazakhstan
0.09
110
Grenada
0.08
110
Italy
0.08
110
Portugal
0.08
113
Bahamas
0.07
114
Netherlands
0.06
114
Slovakia
0.06
116
Hungary
0.05
116
Jordan
0.05
116
Kyrgyzstan
0.05
116
Uruguay
0.05
120
Dominican Republic
0.04
120
Georgia
0.04
120
Namibia
0.04
120
Senegal
0.04
120
St. Lucia
0.04
120
Ukraine
0.04
126
Croatia
0.03
126
Ghana
0.03
126
Honduras
0.03
126
Lebanon
0.03
126
Libya
0.03
126
Moldova
0.03
126
Romania
0.03
133
Armenia
0.02
133
Bulgaria
0.02
133
Cape Verde
0.02
133
Greece
0.02
133
Jamaica
0.02
133
Montenegro
0.02
133
Nicaragua
0.02
133
Oman
0.02
133
Paraguay
0.02
133
Serbia
0.02
133
Syrian Arab Republic
0.02
144
Argentina
0.01
144
Azerbaijan
0.01
144
Comoros
0.01
144
Cote dIvoire
0.01
144
Gambia
0.01
144
Mauritania
0.01
144
Mexico
0.01
144
Morocco
0.01
144
Turkiye
0.01
153
Afghanistan
0.00
153
Albania
0.00
153
Algeria
0.00
153
Antigua and Barbuda
0.00
153
Brazil
0.00
153
Central African Republic
0.00
153
Chad
0.00
153
Djibouti
0.00
153
Dominica
0.00
153
Ecuador
0.00
153
Egypt
0.00
153
Gabon
0.00
153
Guinea
0.00
153
Guinea-Bissau
0.00
153
Haiti
0.00
153
Iran
0.00
153
Iraq
0.00
153
Madagascar
0.00
153
Mozambique
0.00
153
Nepal
0.00
153
Niger
0.00
153
Pakistan
0.00
153
Republic of Congo
0.00
153
Sao Tome and Principe
0.00
153
Sierra Leone
0.00
153
South Sudan
0.00
153
Sri Lanka
0.00
153
Sudan
0.00
153
Tajikistan
0.00
153
Togo
0.00
153
Uzbekistan
0.00
153
Venezuela
0.00
153
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 = 0.054129 X +
5.484
Correlation coefficient (r)
0.066
Coefficient of determination (R2)
0.004
GDP per capita (current US$)
No. of data
178
Regression equation
Y = 1147.534096 X +
15428.376
Correlation coefficient (r)
0.071
Coefficient of determination (R2)
0.005
Life expectancy at birth - Both sexes (years)
No. of data
184
Regression equation
Y = 0.959184 X +
70.728
Correlation coefficient (r)
0.153
Coefficient of determination (R2)
0.023
Fertility rate, total (births per woman)
No. of data
184
Regression equation
Y = -0.097700 X +
2.611
Correlation coefficient (r)
-0.095
Coefficient of determination (R2)
0.009
Suicide, age-standardized (per 100 000 population)
No. of data
177
Regression equation
Y = 0.694644 X +
9.662
Correlation coefficient (r)
0.093
Coefficient of determination (R2)
0.009