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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
Barbados
52.86
2
Guatemala
50.28
3
Cuba
49.94
4
Belgium
48.27
5
Kiribati
48.12
6
Costa Rica
46.27
7
Trinidad and Tobago
45.86
8
Poland
45.70
9
Bahrain
44.32
10
New Zealand
43.92
11
Malta
43.82
12
Lebanon
43.40
13
St. Lucia
41.80
14
Malaysia
41.63
15
Jamaica
41.31
16
Chile
40.59
17
Denmark
40.43
18
Suriname
40.14
19
Nauru
39.92
20
Netherlands
39.66
21
Honduras
39.58
22
Uruguay
39.56
23
Brazil
39.23
23
Dominican Republic
39.23
25
Argentina
39.18
26
Switzerland
38.78
27
Thailand
38.66
28
Djibouti
38.54
29
Gambia
38.26
30
Mauritania
38.18
31
Nicaragua
37.96
32
Dominica
37.88
33
Germany
37.67
34
Belize
37.64
35
St. Kitts and Nevis
37.23
36
Georgia
37.16
37
North Macedonia
36.72
38
Grenada
36.63
39
Canada
35.98
40
Israel
35.62
41
Morocco
34.54
42
Jordan
34.22
43
Russian Federation
34.18
44
Mexico
34.15
45
Croatia
33.81
46
France
33.74
47
Tunisia
33.61
48
Sweden
33.42
49
Australia
33.36
50
United States
33.17
51
Italy
32.90
52
Austria
32.84
53
St. Vincent and the Grenadines
32.48
54
Finland
32.23
55
Cambodia
32.21
56
Iran
32.03
57
Ukraine
31.79
58
Colombia
31.70
59
Greece
31.64
60
Czech Republic
31.20
61
Ireland
31.16
62
Latvia
31.12
62
Saudi Arabia
31.12
64
Kuwait
31.09
65
Venezuela
31.05
66
Turkiye
30.45
67
Mauritius
30.05
68
South Africa
29.98
69
Seychelles
29.57
70
Algeria
29.31
71
Iceland
29.30
72
Lithuania
29.27
73
Spain
29.18
74
Libya
29.03
75
Armenia
29.01
76
Bahamas
28.97
77
United Arab Emirates
28.93
78
Hungary
28.92
79
Sri Lanka
28.19
80
Republic of Korea
27.84
81
Bulgaria
27.51
82
Kazakhstan
27.46
83
Sudan
27.09
84
Eswatini
26.88
85
Norway
26.59
86
Guyana
26.53
87
Egypt
26.27
88
Taiwan
26.20
89
Yemen
26.15
90
Hong Kong, China
26.10
91
Indonesia
25.60
92
Romania
25.29
93
Samoa
25.22
94
Botswana
24.70
95
Namibia
24.53
96
New Caledonia
24.43
97
United Kingdom
24.09
98
Qatar
23.50
99
French Polynesia
23.42
100
Belarus
23.39
101
El Salvador
23.15
102
Portugal
22.68
103
Fiji
22.52
104
Panama
22.43
105
Serbia
22.38
106
Moldova
21.75
107
Antigua and Barbuda
21.64
108
Philippines
21.58
109
Haiti
21.47
110
Bolivia
21.42
111
Montenegro
21.24
112
Pakistan
20.93
113
Slovakia
20.69
114
Azerbaijan
20.65
115
Oman
20.51
116
Iraq
20.15
117
Estonia
19.88
118
Maldives
19.66
119
Peru
19.65
120
India
19.38
121
Slovenia
19.36
122
Kenya
18.80
123
Ecuador
18.72
124
Turkmenistan
18.67
125
Cape Verde
18.66
126
Albania
18.56
127
Bosnia and Herzegovina
18.30
128
Viet Nam
18.09
129
Uzbekistan
17.81
130
Cyprus
17.58
131
Japan
17.23
132
Macao, China
17.04
133
Gabon
16.95
134
Senegal
16.88
135
Timor-Leste
16.82
136
Tajikistan
16.75
137
Syrian Arab Republic
16.26
138
Zimbabwe
15.75
139
Afghanistan
15.24
140
Sao Tome and Principe
14.66
141
Paraguay
14.63
142
Guinea
14.38
143
Ghana
13.51
144
Bhutan
13.19
145
Kyrgyzstan
13.18
146
Solomon Islands
12.78
147
Republic of Congo
12.55
148
Angola
12.50
149
Comoros
12.17
150
Rwanda
11.95
151
Papua New Guinea
11.82
152
Mozambique
11.12
153
Uganda
10.99
154
Benin
10.90
155
Vanuatu
10.78
156
Luxembourg
10.75
157
Cote dIvoire
10.56
158
Lesotho
10.44
159
Micronesia, Federated States of
10.32
160
Cameroon
10.23
161
Mali
10.10
162
Tanzania
9.80
163
Laos
9.79
164
Nigeria
9.68
165
Togo
9.53
166
Zambia
9.34
167
Chad
9.30
168
Malawi
8.33
169
Mongolia
8.00
170
Nepal
7.86
171
China
7.30
172
Sierra Leone
7.12
173
Madagascar
6.97
174
Liberia
6.71
175
South Sudan
6.68
176
Bangladesh
6.33
177
Ethiopia
6.32
178
Central African Republic
5.72
179
Niger
5.60
180
Burkina Faso
4.92
181
North Korea
4.51
182
Burundi
4.03
183
Guinea-Bissau
3.74
184
Myanmar (Burma)
2.94
185
Democratic Republic of Congo
2.83
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 = 0.052036 X +
4.214
Correlation coefficient (r)
0.511
Coefficient of determination (R2)
0.261
GDP per capita (current US$)
No. of data
178
Regression equation
Y = 582.754575 X +
1616.061
Correlation coefficient (r)
0.309
Coefficient of determination (R2)
0.095
Life expectancy at birth - Both sexes (years)
No. of data
184
Regression equation
Y = 0.324970 X +
63.261
Correlation coefficient (r)
0.510
Coefficient of determination (R2)
0.260
Fertility rate, total (births per woman)
No. of data
184
Regression equation
Y = -0.058652 X +
4.007
Correlation coefficient (r)
-0.564
Coefficient of determination (R2)
0.318
Suicide, age-standardized (per 100 000 population)
No. of data
177
Regression equation
Y = -0.105017 X +
12.659
Correlation coefficient (r)
-0.144
Coefficient of determination (R2)
0.021