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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
Luxembourg
149.49
2
Fiji
141.67
3
Montenegro
109.28
4
Lithuania
97.25
5
Macao, China
91.52
6
Iceland
89.41
7
Ireland
87.41
8
Bolivia
87.40
9
Nauru
87.16
10
Malta
86.47
11
Croatia
79.70
12
Ecuador
74.70
13
St. Vincent and the Grenadines
74.33
14
Slovakia
73.77
15
St. Kitts and Nevis
70.67
16
Trinidad and Tobago
68.40
17
Estonia
68.17
18
United States
65.06
19
Dominica
63.25
20
Latvia
62.49
21
Suriname
62.23
22
New Zealand
62.10
23
Ukraine
62.02
24
Russian Federation
61.31
25
Barbados
59.62
26
Denmark
59.21
27
St. Lucia
58.34
28
Honduras
57.85
29
Cyprus
57.11
30
Grenada
56.86
31
Mongolia
56.65
32
Cambodia
56.19
33
Gambia
55.97
34
Colombia
55.39
35
Hungary
55.29
36
Azerbaijan
54.35
37
Norway
53.94
38
Armenia
53.58
39
Guatemala
52.75
40
Hong Kong, China
51.80
41
Namibia
51.70
42
Belgium
51.09
43
Cuba
50.96
44
Kiribati
50.75
45
Costa Rica
50.54
46
Uruguay
50.30
47
Antigua and Barbuda
50.23
48
Jordan
49.96
49
Thailand
49.93
50
Canada
49.78
51
Finland
49.59
52
Bahamas
49.46
53
Bahrain
49.05
54
Republic of Korea
48.72
55
North Macedonia
47.93
56
Israel
47.36
57
Netherlands
47.28
58
Panama
47.18
59
Poland
47.11
60
Argentina
47.03
61
Switzerland
46.82
62
Guyana
46.71
63
Germany
45.76
64
Laos
44.99
65
Malaysia
44.98
66
Chile
44.88
67
Eswatini
44.51
68
Belize
44.49
69
Botswana
44.48
70
Lebanon
44.19
71
Dominican Republic
43.67
72
Belarus
43.58
73
Mexico
43.56
74
Libya
43.33
75
Kyrgyzstan
42.93
76
Brazil
42.79
77
Jamaica
42.65
78
Djibouti
42.35
79
Mauritius
41.91
80
Albania
41.24
81
Australia
41.19
82
South Africa
40.83
83
Nicaragua
40.81
84
Slovenia
40.67
85
New Caledonia
40.59
86
Seychelles
40.23
87
Mauritania
39.72
88
Georgia
38.86
89
Greece
38.29
90
Sweden
38.03
91
Bulgaria
37.68
92
French Polynesia
37.20
93
Bosnia and Herzegovina
36.85
94
Austria
36.77
95
France
36.22
96
Iran
35.96
97
Morocco
35.87
98
Czech Republic
35.48
99
United Kingdom
35.37
100
Tunisia
35.24
101
Qatar
35.02
102
Italy
34.57
103
Saudi Arabia
34.02
104
Portugal
34.00
105
Micronesia, Federated States of
33.95
106
Venezuela
33.58
107
Samoa
33.38
108
Kuwait
33.27
109
Algeria
32.65
110
Sri Lanka
32.48
111
Kazakhstan
32.35
112
Turkiye
31.60
113
Spain
31.22
114
Sao Tome and Principe
31.19
115
United Arab Emirates
30.99
116
Yemen
30.46
117
Taiwan
30.20
118
Timor-Leste
29.74
119
Romania
29.43
120
Japan
27.82
121
Sudan
27.49
122
Egypt
27.22
123
Moldova
27.03
124
Indonesia
26.96
125
Oman
26.40
126
Lesotho
26.29
127
Myanmar (Burma)
25.35
128
Maldives
25.30
129
Zimbabwe
24.97
130
El Salvador
24.82
131
Syrian Arab Republic
24.81
132
Haiti
24.56
133
Cape Verde
23.65
133
Philippines
23.65
135
Serbia
23.62
136
Pakistan
22.90
137
Iraq
22.80
138
Angola
21.82
139
Peru
21.72
140
India
21.48
141
Paraguay
21.16
142
Gabon
20.24
143
Kenya
20.14
144
Comoros
19.99
145
Turkmenistan
19.60
146
Viet Nam
19.30
147
Uzbekistan
18.28
148
Tajikistan
18.25
149
Senegal
18.24
150
Bhutan
17.77
151
Papua New Guinea
17.05
152
Solomon Islands
16.49
153
Guinea
15.82
154
Afghanistan
15.80
155
Ghana
15.62
156
Togo
14.94
157
Rwanda
14.24
158
Uganda
13.59
159
Republic of Congo
12.92
160
Vanuatu
12.26
161
Cote dIvoire
12.12
162
Benin
11.59
163
Cameroon
11.52
164
Mozambique
11.51
165
Nepal
11.14
166
Bangladesh
10.54
167
Tanzania
10.41
168
Zambia
10.33
169
Mali
10.25
170
Nigeria
10.18
171
Chad
9.79
172
Liberia
9.32
173
Central African Republic
9.10
174
Malawi
8.95
175
South Sudan
8.86
176
Sierra Leone
8.57
177
China
8.33
178
Madagascar
7.56
179
Guinea-Bissau
6.84
180
Ethiopia
6.49
181
Burkina Faso
6.09
182
Niger
5.70
183
North Korea
4.53
184
Burundi
4.26
185
Democratic Republic of Congo
3.12
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 = 0.025665 X +
4.529
Correlation coefficient (r)
0.495
Coefficient of determination (R2)
0.245
GDP per capita (current US$)
No. of data
178
Regression equation
Y = 422.666130 X
-392.349
Correlation coefficient (r)
0.453
Coefficient of determination (R2)
0.205
Life expectancy at birth - Both sexes (years)
No. of data
184
Regression equation
Y = 0.147008 X +
65.610
Correlation coefficient (r)
0.457
Coefficient of determination (R2)
0.209
Fertility rate, total (births per woman)
No. of data
184
Regression equation
Y = -0.028836 X +
3.672
Correlation coefficient (r)
-0.550
Coefficient of determination (R2)
0.303
Suicide, age-standardized (per 100 000 population)
No. of data
177
Regression equation
Y = -0.006437 X +
10.314
Correlation coefficient (r)
-0.017
Coefficient of determination (R2)
0.000