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Period:
Area:
179 countries/ areas
Highlight:
1 Ghana459.30
2 Democratic Republic of Congo370.42
3 Cote dIvoire327.04
4 Solomon Islands306.49
5 Rwanda290.63
6 Republic of Congo289.28
7 Burundi284.78
8 Benin275.48
9 Nigeria274.58
10 Angola268.98
11 Central African Republic268.82
12 Sierra Leone201.85
13 Papua New Guinea199.78
14 Togo189.11
15 Malawi185.16
16 Guinea180.36
17 Belarus175.98
18 Paraguay171.73
19 Gabon164.78
20 Vanuatu158.30
21 Cameroon157.51
22 Tanzania157.47
23 Uganda146.64
24 Samoa146.03
25 Dominica138.90
26 Fiji138.89
27 Liberia134.64
28 Peru131.67
29 Zambia129.61
30 Madagascar127.86
31 Mozambique126.19
32 Cambodia126.11
33 Namibia125.97
34 Latvia112.20
35 Kazakhstan110.91
36 Cuba101.68
37 Poland99.43
38 Comoros97.43
39 Ukraine97.30
40 Romania96.77
41 Kyrgyzstan93.65
42 Nepal93.31
43 Russian Federation89.37
44 Belgium87.86
45 Bolivia 86.93
46 Uzbekistan85.80
47 Lithuania83.88
48 Canada83.74
49 Bosnia and Herzegovina81.28
50 Colombia80.14
51 United Kingdom77.03
52 Netherlands76.44
53 Azerbaijan72.80
54 Jamaica68.16
55 Indonesia68.07
56 Eswatini67.95
57 Ireland67.62
58 China67.39
59 Algeria66.91
60 North Macedonia66.64
61 Czech Republic66.09
62 Kenya66.00
63 Germany64.55
64 St. Vincent and the Grenadines64.28
65 Ethiopia62.85
66 Portugal61.75
67 Denmark60.97
68 Guinea-Bissau60.72
69 Greece60.22
70 Spain59.45
71 Austria58.78
72 Finland58.71
73 French Polynesia57.96
74 Estonia56.73
75 Lesotho56.45
76 Chile56.36
77 Haiti54.95
78 Sweden54.64
79 Bangladesh54.22
80 United States53.01
81 Botswana51.53
82 Slovakia51.17
83 Laos51.11
84 France50.62
85 Brazil50.50
86 Chad50.29
87 Australia49.71
88 Norway49.20
89 Albania46.90
90 Turkiye46.79
91 New Zealand46.62
92 Switzerland46.54
93 Uruguay46.25
94 Mongolia44.62
95 Moldova44.47
96 Argentina44.20
97 Serbia43.59
98 Iceland43.27
99 Barbados42.28
100 Georgia42.22
101 Lebanon41.96
102 Morocco41.55
103 Senegal41.11
104 Sao Tome and Principe40.70
105 Israel40.38
106 Kuwait39.06
107 Croatia39.02
108 Guyana38.83
109 Slovenia38.63
110 Malta37.73
111 Tajikistan37.35
112 Trinidad and Tobago36.64
113 Italy36.27
114 Cape Verde35.76
115 Hungary35.43
116 South Africa34.27
117 North Korea33.87
118 Luxembourg33.35
119 Dominican Republic32.80
120 Egypt32.26
121 Turkmenistan32.11
122 Grenada31.58
123 Timor-Leste31.46
124 Iran31.10
125 Venezuela30.71
126 India30.56
127 Tunisia29.09
128 St. Kitts and Nevis28.64
129 Mali27.98
130 St. Lucia27.61
131 Montenegro27.40
132 Suriname27.04
133 Syrian Arab Republic26.91
134 Bulgaria25.74
135 Afghanistan25.71
136 New Caledonia25.48
137 Libya25.21
138 Japan25.09
139 Ecuador24.95
140 Niger24.43
141 El Salvador23.72
142 Armenia23.27
143 Seychelles23.19
144 Oman21.72
145 Mauritius21.43
146 Jordan20.88
147 Cyprus20.63
148 Costa Rica20.32
149 Nicaragua19.91
150 Sri Lanka19.45
151 Sudan19.11
152 Zimbabwe18.63
153 Iraq18.08
154 Malaysia18.07
155 Antigua and Barbuda18.00
156 Philippines17.88
157 United Arab Emirates17.62
158 Maldives17.55
159 Republic of Korea17.43
160 Saudi Arabia17.28
161 Viet Nam16.95
162 Mexico16.90
163 Djibouti16.65
164 Pakistan16.38
165 Panama15.59
166 Myanmar (Burma)15.35
167 Kiribati14.97
168 Macao, China14.23
169 Bahamas13.02
170 Belize12.90
171 Thailand12.86
172 Guatemala11.45
173 Taiwan10.98
174 Hong Kong, China8.33
175 Honduras8.00
176 Mauritania7.22
177 Burkina Faso6.82
178 Gambia6.65
179 Yemen6.16

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 = -0.003646 X +5.798
Correlation coefficient (r)-0.232
Coefficient of determination (R2)0.054
GDP per capita (current US$)
No. of data172
Regression equation
Y = -59.101009 X +19765.734
Correlation coefficient (r)-0.210
Coefficient of determination (R2)0.044
Life expectancy at birth - Both sexes (years)
No. of data176
Regression equation
Y = -0.043523 X +75.994
Correlation coefficient (r)-0.464
Coefficient of determination (R2)0.215
Fertility rate, total (births per woman)
No. of data176
Regression equation
Y = 0.007721 X +2.023
Correlation coefficient (r)0.483
Coefficient of determination (R2)0.233
Suicide - all ages (per 100,000 population)
No. of data172
Regression equation
Y = -0.001429 X +9.610
Correlation coefficient (r)-0.014
Coefficient of determination (R2)0.000