Tweet
Period:
Area:
179 countries/ areas
Highlight:
1 China380.92
2 Albania331.48
3 Guyana319.04
4 Croatia287.80
5 Tunisia272.36
6 North Macedonia269.77
7 Uzbekistan263.09
8 Bosnia and Herzegovina253.58
9 Tajikistan240.03
10 Turkiye239.01
11 Kazakhstan230.14
12 Armenia210.30
13 Algeria206.72
14 Republic of Korea201.52
15 Libya196.50
16 Laos196.11
17 Azerbaijan184.94
18 Kyrgyzstan181.99
19 Ukraine180.70
20 Viet Nam172.26
21 Oman167.10
22 Kuwait158.44
23 Belarus 156.46
24 Malta155.43
25 Greece150.18
26 Egypt149.75
27 Israel148.97
28 Nepal142.95
29 Romania141.50
30 Iran138.74
31 Belgium135.89
32 Turkmenistan135.84
33 Portugal132.36
34 Senegal129.74
35 Poland124.20
36 North Korea122.12
37 Syrian Arab Republic120.99
38 Spain119.16
39 Niger117.83
40 Cameroon117.69
41 Mali115.81
42 Taiwan113.98
43 New Zealand112.58
44 Hong Kong, China111.99
45 Cuba109.40
46 Lebanon108.75
47 United States107.47
48 Iraq107.42
49 Dominican Republic105.64
50 Russian Federation103.68
51 Seychelles102.76
52 Canada101.86
53 Macao, China101.41
54 Bahamas101.34
55 Grenada100.55
56 Montenegro99.89
57 Italy99.64
58 Morocco99.18
59 Bulgaria97.20
60 Jamaica96.99
61 Japan96.73
62 Lithuania96.49
63 Denmark96.40
64 France96.26
65 Hungary92.79
66 Austria90.92
67 Luxembourg90.00
68 India89.15
69 Jordan89.01
70 Latvia88.90
71 Switzerland88.74
72 Germany88.48
73 Slovenia88.25
74 Dominica88.01
75 Myanmar (Burma)86.00
76 Australia85.74
77 Finland85.12
78 Sudan83.95
79 Sweden83.94
80 El Salvador83.37
81 Malawi82.61
82 Cyprus82.58
83 Serbia81.82
84 Estonia80.75
85 Ireland80.21
86 Moldova79.35
87 United Kingdom79.32
88 Cape Verde77.52
89 Czech Republic77.03
90 Djibouti76.78
91 Iceland76.53
92 Norway74.80
93 Nigeria72.83
94 Chile71.64
95 Mauritius71.48
96 Maldives71.31
97 Netherlands71.11
98 Saudi Arabia70.45
99 Barbados69.99
100 Malaysia69.10
101 Antigua and Barbuda67.72
102 Slovakia67.16
103 Fiji66.90
104 Mexico66.46
105 Argentina66.14
106 Philippines63.41
107 United Arab Emirates62.98
108 Peru62.38
109 Georgia61.43
110 New Caledonia61.20
111 Afghanistan59.93
112 St. Vincent and the Grenadines59.87
113 Costa Rica58.67
114 Suriname58.37
115 Papua New Guinea58.10
116 Uruguay57.77
117 Mongolia57.68
118 Tanzania56.56
119 Colombia54.92
120 Botswana54.81
121 Benin54.45
122 Guatemala53.80
123 Kenya51.23
124 Brazil50.68
125 Paraguay50.28
126 Sri Lanka49.68
127 Sierra Leone49.60
128 Vanuatu49.02
129 Guinea48.88
130 Kiribati47.54
131 Indonesia44.73
132 Belize44.60
133 St. Lucia44.58
134 Rwanda44.08
135 French Polynesia43.93
136 Venezuela43.45
137 Trinidad and Tobago40.13
138 Mozambique39.60
139 Mauritania39.49
140 Bangladesh39.02
141 South Africa38.43
142 Bolivia38.29
143 Burundi37.76
144 Cambodia37.60
145 Thailand37.31
146 Nicaragua36.02
147 Uganda34.00
148 Cote dIvoire33.94
149 Gabon31.86
150 Eswatini31.84
151 Honduras31.13
152 Namibia30.65
153 Panama30.26
154 Ghana29.55
155 Liberia28.47
156 Republic of Congo28.05
157 Timor-Leste27.34
158 Lesotho26.41
159 St. Kitts and Nevis25.96
160 Pakistan25.54
161 Angola25.15
162 Zambia24.34
163 Sao Tome and Principe22.82
164 Ecuador21.86
165 Yemen20.86
166 Guinea-Bissau20.84
167 Togo20.61
168 Samoa19.38
169 Central African Republic18.92
170 Madagascar17.01
171 Haiti16.56
172 Zimbabwe14.92
173 Burkina Faso14.43
174 Gambia14.14
175 Ethiopia14.12
176 Solomon Islands12.82
177 Comoros10.59
178 Democratic Republic of Congo6.51
179 Chad6.45

No data for 59 countries.
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 data141
Regression equation
Y = 0.002673 X +5.285
Correlation coefficient (r)0.169
Coefficient of determination (R2)0.029
GDP per capita (current US$)
No. of data172
Regression equation
Y = 31.919248 X +12475.451
Correlation coefficient (r)0.100
Coefficient of determination (R2)0.010
Life expectancy at birth - Both sexes (years)
No. of data176
Regression equation
Y = 0.037299 X +69.416
Correlation coefficient (r)0.350
Coefficient of determination (R2)0.122
Fertility rate, total (births per woman)
No. of data176
Regression equation
Y = -0.006651 X +3.193
Correlation coefficient (r)-0.367
Coefficient of determination (R2)0.135
Suicide - all ages (per 100,000 population)
No. of data172
Regression equation
Y = 0.005585 X +8.998
Correlation coefficient (r)0.047
Coefficient of determination (R2)0.002