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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
176 countries/ areas
Highlight:
(No highlight)
Japan
Nordic and Japan
----------
Afghanistan
Albania
Algeria
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
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
Cyprus
Czech Republic
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Estonia
Eswatini
Ethiopia
Fiji
Finland
France
French Polynesia
Gabon
Gambia
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
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
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
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
Norway
10.66
2
Djibouti
10.12
3
Fiji
7.08
4
Nauru
5.08
5
Estonia
4.60
6
Ethiopia
4.29
7
Guyana
4.07
8
Australia
3.92
9
Belize
3.79
10
Finland
3.59
11
Trinidad and Tobago
3.23
12
Mauritius
3.22
13
Belgium
2.62
14
Suriname
2.58
15
Italy
2.48
16
United Arab Emirates
2.41
17
Peru
2.31
18
Turkmenistan
2.26
19
Montenegro
2.21
20
Russian Federation
2.06
21
Argentina
2.05
22
Bangladesh
1.99
23
Netherlands
1.92
24
Canada
1.87
25
Colombia
1.74
25
Mauritania
1.74
27
Sweden
1.72
28
Sri Lanka
1.67
29
Czech Republic
1.61
30
Lithuania
1.47
31
Kazakhstan
1.36
32
Slovakia
1.32
33
Ireland
1.18
34
Denmark
1.15
35
Qatar
1.09
36
Burundi
1.07
37
Tajikistan
1.05
38
Barbados
1.03
38
Switzerland
1.03
40
Nepal
1.01
40
Pakistan
1.01
40
Republic of Congo
1.01
40
Yemen
1.01
44
Malaysia
1.00
45
Rwanda
0.97
45
United Kingdom
0.97
47
Belarus
0.95
48
Morocco
0.94
49
Bahrain
0.93
50
Bhutan
0.90
51
Spain
0.87
52
Grenada
0.86
53
Poland
0.83
54
Luxembourg
0.80
55
Taiwan
0.78
56
North Macedonia
0.75
57
Oman
0.73
58
Bosnia and Herzegovina
0.71
59
Chile
0.70
60
Paraguay
0.67
61
Libya
0.66
61
South Sudan
0.66
63
Hungary
0.64
64
India
0.60
64
United States
0.60
66
Uruguay
0.59
67
Bulgaria
0.58
68
Lebanon
0.57
69
Lesotho
0.56
70
Madagascar
0.55
71
China
0.52
72
Greece
0.51
73
Israel
0.49
73
New Zealand
0.49
75
Portugal
0.48
76
Kenya
0.47
77
Myanmar (Burma)
0.46
77
Panama
0.46
79
Moldova
0.45
80
Malta
0.42
80
Slovenia
0.42
82
Ukraine
0.41
83
Algeria
0.40
83
Bolivia
0.40
85
Senegal
0.39
86
Iraq
0.37
87
Central African Republic
0.36
88
Liberia
0.35
88
Saudi Arabia
0.35
88
Tunisia
0.35
91
Philippines
0.34
92
Armenia
0.33
93
Sierra Leone
0.32
93
Zimbabwe
0.32
95
Jamaica
0.30
96
Dominican Republic
0.29
96
Uganda
0.29
98
Cameroon
0.27
99
Jordan
0.25
100
Ecuador
0.24
100
Kyrgyzstan
0.24
102
Egypt
0.23
102
Tanzania
0.23
102
Uzbekistan
0.23
105
South Africa
0.21
106
Cyprus
0.20
106
France
0.20
108
Brazil
0.18
108
Croatia
0.18
108
Serbia
0.18
111
Eswatini
0.17
111
Germany
0.17
111
Syrian Arab Republic
0.17
114
Romania
0.15
114
St. Lucia
0.15
114
Turkiye
0.15
117
Austria
0.14
117
Venezuela
0.14
119
Kuwait
0.13
119
Mexico
0.13
119
Namibia
0.13
122
Thailand
0.11
123
Haiti
0.10
124
Gambia
0.08
124
Republic of Korea
0.08
124
Sudan
0.08
127
Costa Rica
0.07
127
Japan
0.07
127
Malawi
0.07
127
St. Vincent and the Grenadines
0.07
131
New Caledonia
0.05
132
Niger
0.04
132
Seychelles
0.04
132
Zambia
0.04
135
Bahamas
0.03
135
Burkina Faso
0.03
135
Cambodia
0.03
135
Indonesia
0.03
135
Maldives
0.03
140
Chad
0.02
140
Cote dIvoire
0.02
140
Democratic Republic of Congo
0.02
140
Guinea
0.02
140
Mongolia
0.02
145
Guatemala
0.01
145
Hong Kong, China
0.01
145
Iceland
0.01
145
Iran
0.01
145
Macao, China
0.01
145
Mali
0.01
145
Nicaragua
0.01
145
Togo
0.01
145
Viet Nam
0.01
154
Afghanistan
0.00
154
Albania
0.00
154
Antigua and Barbuda
0.00
154
Benin
0.00
154
Botswana
0.00
154
Cape Verde
0.00
154
Comoros
0.00
154
Dominica
0.00
154
El Salvador
0.00
154
French Polynesia
0.00
154
Gabon
0.00
154
Ghana
0.00
154
Guinea-Bissau
0.00
154
Honduras
0.00
154
Kiribati
0.00
154
Mozambique
0.00
154
Nigeria
0.00
154
North Korea
0.00
154
Papua New Guinea
0.00
154
Sao Tome and Principe
0.00
154
Solomon Islands
0.00
154
St. Kitts and Nevis
0.00
154
Vanuatu
0.00
No data for 62 countries.
American Samoa/ Andorra/ Angola/ Anguilla/ Aruba/ Azerbaijan/ Bermuda/ British Virgin Islands/ Brunei Darussalam/ Cayman Islands/ Channel Islands/ Cook Islands/ Cuba/ Curacao/ Equatorial Guinea/ Eritrea/ Faeroe Islands/ Falkland Islands (Malvinas)/ French Guiana/ Georgia/ Gibraltar/ Greenland/ Guadeloupe/ Guam/ Guernsey/ Holy See (Vatican City)/ Jersey/ Kosovo/ Laos/ Latvia/ 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/ Samoa/ San Marino/ Singapore/ Sint Maarten (Dutch part)/ Somalia/ Timor-Leste/ 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
136
Regression equation
Y = 0.267096 X +
5.318
Correlation coefficient (r)
0.278
Coefficient of determination (R2)
0.077
GDP per capita (current US$)
No. of data
171
Regression equation
Y = 3853.925066 X +
13152.949
Correlation coefficient (r)
0.258
Coefficient of determination (R2)
0.067
Life expectancy at birth - Both sexes (years)
No. of data
175
Regression equation
Y = 0.617480 X +
70.873
Correlation coefficient (r)
0.120
Coefficient of determination (R2)
0.014
Fertility rate, total (births per woman)
No. of data
175
Regression equation
Y = -0.123001 X +
2.649
Correlation coefficient (r)
-0.149
Coefficient of determination (R2)
0.022
Suicide, age-standardized (per 100 000 population)
No. of data
168
Regression equation
Y = 0.373110 X +
9.664
Correlation coefficient (r)
0.063
Coefficient of determination (R2)
0.004