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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
182 countries/ areas
Highlight:
(No highlight)
Japan
Nordic and Japan
----------
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
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
Republic of Korea
6.74
2
Portugal
4.23
3
Cyprus
4.11
4
Italy
3.71
5
Greece
3.44
6
Spain
3.40
7
Thailand
3.27
8
Hong Kong, China
3.21
8
Viet Nam
3.21
10
Japan
3.15
11
Croatia
2.99
12
Macao, China
2.84
13
Seychelles
2.58
14
Malaysia
2.34
15
Taiwan
2.05
16
Slovenia
2.00
17
New Zealand
1.82
18
Mauritius
1.49
19
Montenegro
1.45
20
Panama
1.35
21
Malta
1.30
22
Australia
1.18
23
Peru
1.12
24
Namibia
0.92
25
France
0.86
26
Maldives
0.73
27
Albania
0.72
28
Philippines
0.69
29
Russian Federation
0.64
29
United Arab Emirates
0.64
31
China
0.56
32
Tunisia
0.52
33
United States
0.51
34
Barbados
0.45
34
Luxembourg
0.45
36
Mexico
0.43
36
Sri Lanka
0.43
38
Switzerland
0.41
39
Indonesia
0.39
40
Morocco
0.36
41
Costa Rica
0.35
42
Cambodia
0.34
43
Libya
0.33
44
Lithuania
0.30
44
St. Kitts and Nevis
0.30
46
Argentina
0.29
46
Madagascar
0.29
48
Belgium
0.28
48
North Korea
0.28
50
Austria
0.27
50
New Caledonia
0.27
50
Uruguay
0.27
50
Vanuatu
0.27
54
Germany
0.26
55
Antigua and Barbuda
0.25
55
Bulgaria
0.25
57
Latvia
0.23
58
Chile
0.22
58
Gambia
0.22
58
United Kingdom
0.22
61
Israel
0.21
61
Netherlands
0.21
63
Fiji
0.20
63
Samoa
0.20
65
Jamaica
0.19
65
Micronesia, Federated States of
0.19
67
Bahamas
0.18
67
Grenada
0.18
69
French Polynesia
0.16
69
Gabon
0.16
71
Cape Verde
0.15
71
Estonia
0.15
71
Oman
0.15
71
St. Lucia
0.15
75
Lebanon
0.14
75
Senegal
0.14
77
Mauritania
0.13
77
Qatar
0.13
77
Serbia
0.13
77
South Africa
0.13
81
Bahrain
0.12
81
Ireland
0.12
81
Trinidad and Tobago
0.12
84
Mozambique
0.11
85
Belarus
0.10
85
Colombia
0.10
85
Dominican Republic
0.10
85
Kiribati
0.10
85
Romania
0.10
90
Egypt
0.09
90
Ukraine
0.09
92
Bosnia and Herzegovina
0.08
92
Sweden
0.08
92
Timor-Leste
0.08
95
Ecuador
0.07
95
Sao Tome and Principe
0.07
95
Saudi Arabia
0.07
98
Belize
0.06
98
Canada
0.06
98
Denmark
0.06
98
El Salvador
0.06
98
North Macedonia
0.06
98
Norway
0.06
98
Turkiye
0.06
105
Czech Republic
0.05
105
Finland
0.05
105
Hungary
0.05
108
Brazil
0.04
108
Cuba
0.04
108
Kuwait
0.04
108
Liberia
0.04
108
Pakistan
0.04
108
St. Vincent and the Grenadines
0.04
114
Algeria
0.03
114
Moldova
0.03
114
Poland
0.03
117
Georgia
0.02
117
Ghana
0.02
117
Honduras
0.02
117
Kenya
0.02
117
Slovakia
0.02
117
Tanzania
0.02
117
Venezuela
0.02
124
Eswatini
0.01
124
Guatemala
0.01
124
Iran
0.01
124
Jordan
0.01
124
Kazakhstan
0.01
124
Nicaragua
0.01
124
Papua New Guinea
0.01
124
Paraguay
0.01
124
Republic of Congo
0.01
124
Sierra Leone
0.01
124
Solomon Islands
0.01
135
Angola
0.00
135
Armenia
0.00
135
Azerbaijan
0.00
135
Bangladesh
0.00
135
Benin
0.00
135
Bhutan
0.00
135
Bolivia
0.00
135
Botswana
0.00
135
Burkina Faso
0.00
135
Cameroon
0.00
135
Central African Republic
0.00
135
Chad
0.00
135
Comoros
0.00
135
Cote dIvoire
0.00
135
Democratic Republic of Congo
0.00
135
Djibouti
0.00
135
Dominica
0.00
135
Ethiopia
0.00
135
Guinea
0.00
135
Guinea-Bissau
0.00
135
Guyana
0.00
135
Haiti
0.00
135
Iceland
0.00
135
India
0.00
135
Iraq
0.00
135
Kyrgyzstan
0.00
135
Laos
0.00
135
Lesotho
0.00
135
Malawi
0.00
135
Mali
0.00
135
Mongolia
0.00
135
Myanmar (Burma)
0.00
135
Nepal
0.00
135
Niger
0.00
135
Nigeria
0.00
135
Rwanda
0.00
135
South Sudan
0.00
135
Sudan
0.00
135
Suriname
0.00
135
Syrian Arab Republic
0.00
135
Tajikistan
0.00
135
Togo
0.00
135
Turkmenistan
0.00
135
Uganda
0.00
135
Uzbekistan
0.00
135
Yemen
0.00
135
Zambia
0.00
135
Zimbabwe
0.00
No data for 56 countries.
Afghanistan/ American Samoa/ Andorra/ Anguilla/ Aruba/ Bermuda/ British Virgin Islands/ Brunei Darussalam/ Burundi/ 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
139
Regression equation
Y = 0.237344 X +
5.419
Correlation coefficient (r)
0.227
Coefficient of determination (R2)
0.052
GDP per capita (current US$)
No. of data
176
Regression equation
Y = 4412.361854 X +
14216.123
Correlation coefficient (r)
0.199
Coefficient of determination (R2)
0.040
Life expectancy at birth - Both sexes (years)
No. of data
181
Regression equation
Y = 3.368924 X +
69.949
Correlation coefficient (r)
0.439
Coefficient of determination (R2)
0.193
Fertility rate, total (births per woman)
No. of data
181
Regression equation
Y = -0.438944 X +
2.718
Correlation coefficient (r)
-0.354
Coefficient of determination (R2)
0.125
Suicide, age-standardized (per 100 000 population)
No. of data
175
Regression equation
Y = -0.495221 X +
10.295
Correlation coefficient (r)
-0.054
Coefficient of determination (R2)
0.003