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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
Belarus
170.46
2
Ukraine
126.01
3
Kazakhstan
107.46
4
Kyrgyzstan
104.88
5
Poland
100.41
6
Bolivia
99.99
7
Romania
99.59
8
Netherlands
93.38
9
Peru
92.10
10
Bosnia and Herzegovina
91.81
11
Belgium
89.20
12
Russian Federation
87.16
13
Uzbekistan
86.16
14
Nepal
86.00
15
Latvia
83.46
16
Azerbaijan
82.14
17
Lebanon
74.25
18
Canada
68.19
19
Mongolia
67.84
20
Colombia
67.70
21
Germany
67.10
22
United Kingdom
66.23
23
Denmark
64.48
24
Algeria
64.18
25
Rwanda
63.52
26
Finland
63.23
27
Lesotho
61.99
28
Estonia
61.86
29
Armenia
61.12
30
Ireland
60.68
31
North Macedonia
60.53
32
Czech Republic
59.36
33
Portugal
58.49
34
Spain
58.44
35
Sweden
56.76
36
Austria
56.03
37
Chile
55.06
38
Norway
54.90
39
Bangladesh
54.43
40
Slovakia
51.28
41
Turkiye
51.23
42
France
50.97
43
Lithuania
50.96
44
Greece
49.55
45
New Zealand
48.87
46
United States
48.57
47
China
48.16
48
Switzerland
46.84
49
Georgia
46.63
50
Albania
46.03
51
Slovenia
45.90
52
Iran
45.61
53
Moldova
45.20
54
Australia
44.71
55
Argentina
44.63
56
Serbia
43.57
57
Tajikistan
41.10
58
Croatia
39.83
59
Italy
37.44
60
Morocco
37.34
61
Kuwait
37.12
62
Barbados
36.40
63
Malawi
34.50
64
Hungary
33.50
65
South Africa
32.52
66
Syrian Arab Republic
31.80
67
Luxembourg
31.54
68
Turkmenistan
31.26
69
Israel
31.23
70
Montenegro
30.60
71
Egypt
29.73
72
Kenya
29.41
73
Iceland
29.09
74
Tunisia
28.97
75
Trinidad and Tobago
28.94
76
Qatar
28.72
77
Malta
28.41
78
Uruguay
27.82
79
Guatemala
27.40
80
Libya
25.56
81
Bulgaria
25.55
82
India
24.95
83
Fiji
24.47
84
Bhutan
24.11
85
French Polynesia
23.54
86
Iraq
23.50
87
Oman
23.47
88
Ecuador
23.09
89
Bahrain
22.92
90
Mauritius
22.76
91
Afghanistan
21.57
92
Cape Verde
20.97
93
Seychelles
20.30
94
New Caledonia
19.70
95
Brazil
19.66
96
Saudi Arabia
19.14
97
Jordan
18.08
98
Japan
17.73
99
United Arab Emirates
17.68
100
Belize
15.64
101
Pakistan
15.40
102
Mexico
15.10
103
Malaysia
14.98
104
Guyana
14.95
105
Eswatini
14.67
106
St. Kitts and Nevis
14.65
107
Cyprus
14.50
108
Burundi
14.41
109
Djibouti
14.02
110
Namibia
13.97
111
North Korea
13.57
112
Venezuela
13.48
113
Tanzania
13.26
114
Republic of Korea
12.76
115
Botswana
12.64
116
Suriname
12.63
117
St. Lucia
12.47
118
Costa Rica
11.80
118
El Salvador
11.80
120
Cuba
11.54
121
Grenada
11.14
122
Macao, China
10.61
123
Maldives
10.31
124
Dominican Republic
10.29
125
Panama
10.08
126
Sri Lanka
10.05
127
Antigua and Barbuda
9.89
128
Angola
9.74
129
Dominica
9.38
130
Mozambique
9.32
131
Mauritania
8.64
132
Mali
8.54
133
Samoa
8.38
134
Nicaragua
7.89
135
Bahamas
7.78
136
Myanmar (Burma)
7.72
136
St. Vincent and the Grenadines
7.72
138
Ethiopia
7.70
139
Cameroon
7.49
140
Senegal
7.31
141
Paraguay
7.22
142
Hong Kong, China
6.95
143
Jamaica
6.94
144
Yemen
6.48
145
Nauru
6.07
146
Taiwan
5.40
147
Madagascar
5.30
148
Guinea
5.29
149
Sudan
5.07
150
Honduras
4.83
151
Nigeria
4.52
152
Zambia
4.35
153
Indonesia
4.30
154
Uganda
3.83
155
Viet Nam
3.61
156
Thailand
3.54
157
Niger
3.44
158
Philippines
3.20
159
Haiti
3.13
160
Vanuatu
2.74
161
Burkina Faso
2.25
162
Chad
2.01
162
Timor-Leste
2.01
164
Comoros
1.68
165
Sao Tome and Principe
1.66
166
Republic of Congo
1.48
167
Gambia
1.38
168
Zimbabwe
1.30
169
Gabon
1.26
170
Kiribati
1.08
171
Democratic Republic of Congo
0.95
172
Papua New Guinea
0.74
173
Laos
0.65
174
Cote dIvoire
0.47
175
Guinea-Bissau
0.41
176
Togo
0.40
177
Liberia
0.39
178
Benin
0.36
179
Sierra Leone
0.30
180
Ghana
0.17
181
Cambodia
0.16
181
Solomon Islands
0.16
183
Central African Republic
0.14
184
South Sudan
0.08
185
Micronesia, Federated States of
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 = 0.014823 X +
5.007
Correlation coefficient (r)
0.378
Coefficient of determination (R2)
0.143
GDP per capita (current US$)
No. of data
178
Regression equation
Y = 194.983925 X +
10184.133
Correlation coefficient (r)
0.266
Coefficient of determination (R2)
0.071
Life expectancy at birth - Both sexes (years)
No. of data
184
Regression equation
Y = 0.097457 X +
68.365
Correlation coefficient (r)
0.383
Coefficient of determination (R2)
0.147
Fertility rate, total (births per woman)
No. of data
184
Regression equation
Y = -0.018171 X +
3.103
Correlation coefficient (r)
-0.438
Coefficient of determination (R2)
0.192
Suicide, age-standardized (per 100 000 population)
No. of data
177
Regression equation
Y = 0.009612 X +
9.771
Correlation coefficient (r)
0.033
Coefficient of determination (R2)
0.001