Flicking back and forth between this and the least vaxxed countries list. I think I'm seeing some pretty high death counts in that column over here. And the population is pretty high in the list of the other countries. I guess you gotta go with the death % of pop.
Yeah, going back and forth.. lots more death count over this more vaxxed list.
You have Jun 20, 2022 and Aug 14, 2023... That's more than an year discrepancy...
What is the source of "Death from Covid" and "Death % of pop"? How do you verify your "data"? :D
Seems like an excel table made by a kid. I can sort in excel as well. :D I've seen your posts, seems like you spam more when you should think more before you post. Just food for thought.
This is your peak around spring 2022. You can go to "table" tab to see text data. That column where I get the dates and the percentage of that country which was vaccinated for covid.
I use notepad++ where you hold the alt key and can select text vertically. Then using "sheets" in google, where top right with the icons you scroll down to sheets and it's like a spreadsheet with boxes. Pasting vertical copied stuff it goes properly in the boxes going down.
For the death data from covid, got that from here.
This is where you have all kinds of subsets of the data you can choose from. Your "metric" on the top you click that drop-down menu and choose what data you want showing up. I went to "confirmed deaths". Then you choose your "interval" from that drop down menu at the top, beside it. Went to "cumulative", I guess that means total deaths from covid since they started gathering data. This 'll be a chart, but you go to the tab at the bottom of the chart for "table", where you get columns of text for that info. You can sort by country on the left.. This is "total deaths". Then I'd copy all the text in there and paste in notepad++. Then select just the column of total deaths up to Aug 16, 2023. Paste that column in the google "sheets" program window.
Then I'd get the data of countries populations. In sheets can sort columns, but I had this column where I put numbers from 1-218 so I could re-sort it back that way. It was sorted by most vaxxed for covid, percentage. Sorted the countries alphabetically, copied that order, pasted in chatGPT, got it to name the country and population. Double checked that those were correct. Made column of population. Then I got chatGPT to calculate the death percentage of population. I pasted those 3 columns of country name, population and deaths from covid columns. And it calculated the death percentage. Doubled checked the data.. you'd take deaths, divide by population, then multiply by 100. Double check that by taking the population and multiplying it by the death percentage number. Data seemed correct.
They do not have this death percentage of the population data. They're trying to hide stuff, eh. That's why I wanted to do this spread sheet where I can see what the numbers are, beside each other.
I still don't get it. It seems a lot of work for little to no actual data. Sorry, I hope it works for you in some kind.
Do you say you have only one source for the data? You admit that the data can be altered...
Why use chatGPT when the excel formulas are much easier? Anyway, it shouldn't present differences in any way.
What is the aim of the spreadsheet? Why calculate this data?
Sorry, don't want to be insulting or something, just pragmatic. I could compile a better table for you, if you let me know what data you want to see. However, at this point, the vaccines given are scrambled with the double-triple vaxxed (not your table, just the general data). However, I would be happy to help you with spreadsheets.
It wasn't that much work, didn't have to manually calculate anything. There is data.. you have a column of the death percentage from covid of the population of each country. It's also alongside the percentage of each country that was vaccinated for covid. You don't see that data anywhere else.
You admit that the data can be altered...
Where do I admit that the data can be altered? I'm just using what numbers were at the official source from ourworldindata.org
Why use chatGPT when the excel formulas are much easier?
I don't have excel. Never used any sort of spreadsheet program before this.
What is the aim of the spreadsheet? Why calculate this data?
Because I was looking around for it, even asking Bing AI, and it couldn't find this type of data together on the same page, anywhere.
I could compile a better table for you, if you let me know what data you want to see.
Well, I just wanted to see these numbers together on the same page and compare, are the countries which are most vaccinated for covid, getting lower numbers of the death percentage of the population. You'd think countries with the lowest percentage of being vaccinated for covid, would have really high death counts. But it doesn't look that way, when you have this data, which is not elsewhere on the internet. Good enough, saw the data. No need for you to compile a better table.
Flicking back and forth between this and the least vaxxed countries list. I think I'm seeing some pretty high death counts in that column over here. And the population is pretty high in the list of the other countries. I guess you gotta go with the death % of pop.
Yeah, going back and forth.. lots more death count over this more vaxxed list.
You have Jun 20, 2022 and Aug 14, 2023... That's more than an year discrepancy...
What is the source of "Death from Covid" and "Death % of pop"? How do you verify your "data"? :D
Seems like an excel table made by a kid. I can sort in excel as well. :D I've seen your posts, seems like you spam more when you should think more before you post. Just food for thought.
Those are the data cut off dates. Countries stopped reporting and it drops off in the map if you move the slider right.
This data is all from this official site.
https://ourworldindata.org/grapher/share-people-vaccinated-covid?tab=map&time=2022-04-21&country=~OWID_WRL
This is your peak around spring 2022. You can go to "table" tab to see text data. That column where I get the dates and the percentage of that country which was vaccinated for covid.
I use notepad++ where you hold the alt key and can select text vertically. Then using "sheets" in google, where top right with the icons you scroll down to sheets and it's like a spreadsheet with boxes. Pasting vertical copied stuff it goes properly in the boxes going down.
For the death data from covid, got that from here.
https://ourworldindata.org/covid-vaccinations
This is where you have all kinds of subsets of the data you can choose from. Your "metric" on the top you click that drop-down menu and choose what data you want showing up. I went to "confirmed deaths". Then you choose your "interval" from that drop down menu at the top, beside it. Went to "cumulative", I guess that means total deaths from covid since they started gathering data. This 'll be a chart, but you go to the tab at the bottom of the chart for "table", where you get columns of text for that info. You can sort by country on the left.. This is "total deaths". Then I'd copy all the text in there and paste in notepad++. Then select just the column of total deaths up to Aug 16, 2023. Paste that column in the google "sheets" program window.
Then I'd get the data of countries populations. In sheets can sort columns, but I had this column where I put numbers from 1-218 so I could re-sort it back that way. It was sorted by most vaxxed for covid, percentage. Sorted the countries alphabetically, copied that order, pasted in chatGPT, got it to name the country and population. Double checked that those were correct. Made column of population. Then I got chatGPT to calculate the death percentage of population. I pasted those 3 columns of country name, population and deaths from covid columns. And it calculated the death percentage. Doubled checked the data.. you'd take deaths, divide by population, then multiply by 100. Double check that by taking the population and multiplying it by the death percentage number. Data seemed correct.
In the:
https://ourworldindata.org/covid-vaccinations
They do not have this death percentage of the population data. They're trying to hide stuff, eh. That's why I wanted to do this spread sheet where I can see what the numbers are, beside each other.
I still don't get it. It seems a lot of work for little to no actual data. Sorry, I hope it works for you in some kind.
Do you say you have only one source for the data? You admit that the data can be altered...
Why use chatGPT when the excel formulas are much easier? Anyway, it shouldn't present differences in any way.
What is the aim of the spreadsheet? Why calculate this data?
Sorry, don't want to be insulting or something, just pragmatic. I could compile a better table for you, if you let me know what data you want to see. However, at this point, the vaccines given are scrambled with the double-triple vaxxed (not your table, just the general data). However, I would be happy to help you with spreadsheets.
It wasn't that much work, didn't have to manually calculate anything. There is data.. you have a column of the death percentage from covid of the population of each country. It's also alongside the percentage of each country that was vaccinated for covid. You don't see that data anywhere else.
Where do I admit that the data can be altered? I'm just using what numbers were at the official source from ourworldindata.org
I don't have excel. Never used any sort of spreadsheet program before this.
Because I was looking around for it, even asking Bing AI, and it couldn't find this type of data together on the same page, anywhere.
Well, I just wanted to see these numbers together on the same page and compare, are the countries which are most vaccinated for covid, getting lower numbers of the death percentage of the population. You'd think countries with the lowest percentage of being vaccinated for covid, would have really high death counts. But it doesn't look that way, when you have this data, which is not elsewhere on the internet. Good enough, saw the data. No need for you to compile a better table.
Let's get this data here..
Rank for % vax. Country or region. Latest data. Population. Vax % of pop. Deaths from Covid. Death % of pop.
1 Gibraltar Dec 16, 2022 33,691 129.10% 113 0.34%
2 Tokelau Dec 5, 2022 1,357 116.40% N/A
3 Qatar May 7, 2023 2,881,053 105.80% 690 0.02%
4 United Arab Emirates Jun 20, 2022 9,856,000 105.80% 2,349 0.02%
5 Nauru Feb 20, 2023 10,933 103.30% 1 0.01%
6 Brunei Jun 30, 2023 442,400 100.50% 163 0.04%
7 Pitcairn Aug 29, 2022 47 100.00% N/A
8 Macao Apr 13, 2023 649,335 97.80% N/A
9 Cuba Aug 14, 2023 11,333,483 96.00% 8,530 0.08%
10 Portugal Jun 9, 2023 10,196,709 95.30% 27,094 0.27%
11 Hong Kong Jul 28, 2023 7,542,663 92.40% N/A
12 Chile Feb 8, 2023 19,458,310 92.30% 61,614 0.32%
13 Nicaragua Jun 2, 2023 6,963,167 92.20% 245 0.00%
14 Vietnam Jun 30, 2023 98,035,842 91.90% 43,206 0.04%
15 China Feb 9, 2023 1,439,323,776 91.90% 121,628 0.01%
16 Taiwan Jul 16, 2023 23,816,775 91.60% N/A
17 Singapore Jan 31, 2023 5,896,686 91.50% 1,872 0.03%
18 Cambodia Aug 8, 2023 16,903,982 91.30% 3,056 0.02%
19 Argentina Aug 16, 2023 45,376,763 91.20% 130,472 0.29%
20 Nepal Jun 20, 2023 29,996,478 91.00% 12,031 0.04%
21 Canada Feb 2, 2023 38,048,738 90.40% 53,147 0.14%
22 Cayman Islands Apr 21, 2023 66,497 90.30% 37 0.06%
23 Malta Aug 14, 2023 547,485 89.80% 873 0.16%
24 Peru Aug 13, 2023 32,971,854 89.60% 221,364 0.67%
25 Costa Rica Jun 2, 2023 5,190,681 89.60% 9,428 0.18%
26 Bhutan Oct 30, 2022 779,898 89.30% 21 0.00%
27 Cook Islands Feb 13, 2023 17,564 88.70% 2 0.01%
28 Bangladesh N/A 166,303,498 88.50% 29,476 0.02%
29 Brazil Mar 22, 2023 213,993,437 88.10% 704,659 0.33%
30 Uruguay Aug 6, 2023 3,473,730 87.90% 7,634 0.22%
31 Spain May 24, 2023 47,394,223 87.00% 121,852 0.26%
32 Mauritius May 28, 2023 1,271,768 86.50% 1,053 0.08%
33 South Korea May 26, 2023 51,316,785 86.40% 35,557 0.07%
34 Italy Aug 15, 2023 60,392,000 86.30% 191,118 0.32%
35 Tuvalu Feb 1, 2023 11,794 86.10% 1 0.01%
36 Samoa Apr 17, 2023 202,506 86.10% 31 0.02%
37 Guernsey Dec 19, 2022 67,873 85.60% 67 0.10%
38 Ecuador Mar 31, 2023 17,775,054 85.20% 36,042 0.20%
39 Aruba Aug 15, 2023 106,766 85.00% 292 0.27%
40 Australia Mar 24, 2023 25,499,884 84.90% 22,618 0.09%
41 Japan May 7, 2023 125,960,000 84.50% 74,694 0.06%
42 Bahrain Dec 21, 2022 1,748,296 84.30% 1,536 0.09%
43 Niue Mar 4, 2023 1,615 83.90% N/A
44 Iceland Mar 29, 2022 342,283 83.10% 186 0.05%
45 New Zealand Apr 4, 2023 5,131,310 83.00% 3,249 0.06%
46 Colombia Apr 7, 2023 51,265,844 82.90% 142,961 0.28%
47 Malaysia Aug 5, 2023 32,776,194 82.80% 37,187 0.11%
48 Seychelles Apr 9, 2023 98,462 82.60% 172 0.17%
49 Isle of Man Jun 23, 2022 85,032 82.30% 116 0.14%
50 Ireland Jun 21, 2023 4,937,786 81.80% 9,128 0.19%
51 Tonga Apr 11, 2023 108,023 81.70% 12 0.01%
52 Finland Aug 3, 2023 5,546,901 81.70% 10,087 0.18%
53 United States May 9, 2023 331,002,651 81.40% 1,127,152 0.34%
54 Denmark Jun 23, 2023 5,824,313 81.00% 8,780 0.15%
55 Kuwait Aug 13, 2023 4,270,571 81.00% 2,570 0.06%
56 Saint Helena May 5, 2021 6,077 80.70% N/A
57 France Jul 10, 2023 67,081,000 80.60% 167,985 0.25%
58 Panama May 12, 2023 4,381,542 80.20% 8,652 0.20%
59 Norway Nov 13, 2022 5,421,241 80.00% 5,620 0.10%
60 United Kingdom Sep 11, 2022 68,207,116 79.70% 228,622 0.34%
61 Thailand Sep 30, 2022 69,799,978 79.50% 34,444 0.05%
62 Belgium Aug 14, 2023 11,711,117 79.50% 34,376 0.29%
63 Monaco Dec 21, 2021 38,300 79.10% 67 0.18%
64 Rwanda Jun 4, 2023 13,374,397 79.00% 1,468 0.01%
65 Faroe Islands Feb 18, 2022 49,731 78.50% N/A
66 Sri Lanka Oct 30, 2022 21,803,000 78.50% 16,882 0.08%
67 Venezuela Dec 7, 2022 28,435,940 78.30% 5,856 0.02%
68 San Marino May 22, 2022 34,403 78.20% 125 0.36%
69 Laos Aug 11, 2022 7,169,455 78.20% 671 0.01%
70 Germany Apr 7, 2023 83,900,473 77.80% 174,979 0.21%
71 Austria Jun 30, 2023 9,100,857 77.20% 22,534 0.25%
72 Kiribati Feb 20, 2023 125,991 76.90% 24 0.02%
73 Fiji May 1, 2023 896,444 76.60% 885 0.10%
74 Greece Aug 14, 2023 10,421,430 76.40% 37,311 0.36%
75 Maldives May 25, 2023 521,890 76.20% 316 0.06%
76 Mexico Oct 7, 2022 126,190,788 76.20% 334,336 0.26%
77 Jersey Jan 29, 2023 107,800 76.10% 161 0.15%
78 Bermuda Jul 8, 2022 62,506 75.60% 165 0.26%
79 Cyprus Feb 22, 2023 1,220,088 74.90% 1,364 0.11%
80 Myanmar May 2, 2023 54,045,420 74.50% 19,494 0.04%
81 Luxembourg Mar 25, 2023 634,814 74.40% 1,000 0.16%
82 Saudi Arabia Apr 25, 2023 35,340,683 74.30% 9,646 0.03%
83 Botswana May 7, 2023 2,428,590 74.20% 2,800 0.12%
84 Indonesia Jun 6, 2023 276,361,783 74.00% 161,916 0.06%
85 Sweden Mar 19, 2023 10,485,723 73.70% 24,667 0.24%
86 Iran Aug 6, 2023 83,992,949 73.60% 146,318 0.17%
87 Liberia Dec 11, 2022 5,057,681 73.60% 294 0.01%
88 El Salvador Oct 2, 2022 6,486,205 73.40% 4,230 0.07%
89 Greenland Mar 14, 2022 56,672 73.00% 21 0.04%
90 Latvia Jul 11, 2022 1,877,691 72.70% 7,374 0.39%
91 Netherlands Sep 2, 2022 17,483,387 72.70% 22,986 0.13%
92 Andorra May 21, 2023 77,265 72.50% 159 0.21%
93 India N/A 1,366,417,754 72.50% 531,922 0.04%
94 Turks and Caicos Islands Jan 6, 2023 39,245 71.80% 39 0.10%
95 Philippines Mar 19, 2023 115,967,135 71.50% 66,646 0.06%
96 Oman Oct 25, 2022 5,158,780 71.20% 4,628 0.09%
97 Lithuania N/A 2,788,825 71.20% 9,694 0.35%
98 Israel May 4, 2023 9,319,765 71.20% 12,598 0.14%
99 Saint Kitts and Nevis Dec 7, 2022 53,544 70.90% 46 0.09%
100 Bonaire Sint Eustatius and Saba Sep 1, 2021 26,349 70.60% 41 0.16%
101 Pakistan Aug 6, 2023 225,199,937 70.20% 30,656 0.01%
102 Switzerland Jul 3, 2023 8,654,622 69.80% 14,034 0.16%
103 Mozambique Jul 2, 2023 31,255,435 69.40% 2,243 0.01%
104 Falkland Islands Apr 14, 2021 3,532 69.20% N/A
105 Antigua and Barbuda Sep 16, 2022 98,731 68.60% 146 0.15%
106 Anguilla Mar 17, 2023 15,236 68.40% 12 0.08%
107 Liechtenstein Jun 7, 2023 38,250 68.00% 87 0.23%
108 Turkey Nov 22, 2022 84,339,067 67.90% 101,419 0.12%
109 Belarus May 14, 2023 9,327,135 67.50% 7,118 0.08%
110 Sint Maarten (Dutch part) Mar 31, 2023 43,488 67.40% 92 0.21%
111 Mongolia May 11, 2022 3,329,289 66.90% 2,284 0.07%
112 Morocco May 14, 2023 37,344,795 66.80% 16,297 0.04%
113 Czechia N/A 10,724,555 66.50% 42,813 0.40%
114 New Caledonia May 9, 2023 294,436 66.30% 314 0.11%
115 East Timor Jun 26, 2023 1,354,304 65.90% N/A
116 Sierra Leone Jun 25, 2023 8,156,113 65.90% 125 0.00%
117 Estonia Aug 14, 2023 1,325,185 65.60% 2,901 0.22%
118 Dominican Republic Jul 23, 2023 10,951,219 65.40% 4,384 0.04%
119 Hungary Dec 27, 2022 9,665,406 64.40% 48,801 0.51%
120 Belize Apr 21, 2023 405,854 63.80% 688 0.17%
121 Uzbekistan Jun 11, 2023 33,469,203 63.80% 1,016 0.00%
122 Honduras May 5, 2023 10,779,391 63.20% 11,127 0.10%
123 French Polynesia May 1, 2023 280,904 62.30% 649 0.23%
124 British Virgin Islands Sep 16, 2022 30,231 62.10% 64 0.21%
125 Sao Tome and Principe Jun 4, 2023 219,159 61.70% 80 0.04%
126 Wallis and Futuna Jan 23, 2023 11,100 61.70% 8 0.07%
127 Russia Jul 4, 2023 145,912,025 61.40% 399,938 0.27%
128 Guyana Feb 17, 2023 800,712 61.20% 1,299 0.16%
129 Bolivia Oct 7, 2022 11,832,800 60.20% 22,399 0.19%
130 Cape Verde Sep 25, 2022 561,898 60.10% 415 0.07%
131 Slovenia Jul 5, 2022 2,101,837 59.70% 9,431 0.45%
132 Paraguay May 12, 2023 7,152,703 58.90% 19,961 0.28%
133 Zambia Jun 25, 2023 18,877,030 58.50% 4,069 0.02%
134 Tunisia Jun 20, 2023 12,142,773 58.40% 29,423 0.24%
135 Barbados Jun 2, 2023 287,375 58.20% 620 0.22%
136 Croatia Jul 30, 2023 4,031,208 57.60% 18,288 0.45%
137 Poland Aug 14, 2023 37,817,896 57.40% 119,636 0.32%
138 Curacao Nov 16, 2022 165,379 56.80% 305 0.18%
139 Kazakhstan Jan 17, 2023 19,197,353 56.00% 19,072 0.10%
140 Guinea Apr 2, 2023 13,132,795 55.40% 468 0.00%
141 Vanuatu Feb 20, 2023 307,145 54.10% 14 0.00%
142 Tajikistan Dec 4, 2022 9,435,827 53.40% 125 0.00%
143 Tanzania Mar 12, 2023 61,498,437 52.60% 846 0.00%
144 Comoros Oct 2, 2022 869,601 52.40% 160 0.02%
145 Turkmenistan Feb 5, 2023 6,031,187 52.20% N/A
146 Azerbaijan Aug 28, 2022 10,139,177 51.90% 10,295 0.10%
147 Egypt May 21, 2023 104,258,327 51.30% 24,830 0.02%
148 Somalia Jul 25, 2023 16,407,154 51.00% 1,361 0.01%
149 Kosovo Feb 12, 2023 1,808,759 50.90% 3,209 0.18%
150 Guatemala May 12, 2023 18,053,843 50.10% 20,235 0.11%
151 Lebanon Dec 22, 2022 6,825,445 49.90% 10,936 0.16%
152 Trinidad and Tobago Sep 21, 2022 1,399,488 49.20% 4,390 0.31%
153 Serbia Jun 23, 2022 8,737,371 48.80% 18,057 0.21%
154 Cote d'Ivoire Feb 19, 2023 26,378,274 48.20% 835 0.00%
155 Montserrat Dec 16, 2022 4,989 47.70% 8 0.16%
156 Solomon Islands Oct 31, 2022 703,100 47.50% 153 0.02%
157 Albania May 14, 2023 2,845,955 47.40% 3,604 0.13%
158 Montenegro Aug 26, 2022 622,345 46.70% 2,654 0.43%
159 Central African Republic Jul 16, 2023 4,829,767 46.60% 113 0.00%
160 Slovakia Jul 31, 2022 5,459,642 46.00% 21,167 0.39%
161 Angola Jul 23, 2023 33,866,247 45.50% 1,934 0.01%
162 Dominica Oct 7, 2022 72,293 45.40% 74 0.10%
163 Mauritania May 14, 2023 4,649,658 44.40% 997 0.02%
164 Georgia Oct 13, 2022 3,727,500 44.20% 17,122 0.46%
165 Lesotho Mar 19, 2023 2,142,249 44.00% 706 0.03%
166 Eswatini Jun 4, 2023 1,160,164 43.80% 1,427 0.12%
167 Suriname May 23, 2022 604,021 43.30% 1,408 0.23%
168 Afghanistan Aug 8, 2023 39,835,428 42.90% 7,940 0.02%
169 Jordan Aug 21, 2022 10,203,134 42.70% 14,122 0.14%
170 Bahamas May 12, 2023 396,913 42.60% 844 0.21%
171 Ethiopia May 28, 2023 123,248,890 42.50% 7,574 0.01%
172 Uganda May 28, 2023 47,729,919 42.40% 3,632 0.01%
173 Romania Jun 11, 2023 19,121,641 41.60% 68,259 0.36%
174 Ghana Jul 2, 2023 31,072,940 41.40% 1,462 0.00%
175 Nigeria Jul 23, 2023 206,139,589 41.10% 3,155 0.00%
176 North Macedonia May 7, 2023 2,083,374 40.80% 9,941 0.48%
177 South Africa Jun 4, 2023 60,041,994 40.40% 102,595 0.17%
178 Armenia Jun 4, 2023 2,963,243 40.40% 8,751 0.30%
179 Ukraine Feb 27, 2022 43,733,762 39.70% 109,904 0.25%
180 Zimbabwe Oct 9, 2022 14,862,924 39.50% 5,713 0.03%
181 South Sudan May 7, 2023 12,153,745 39.10% 138 0.00%
182 Palestine Oct 18, 2022 5,135,211 38.30% 5,708 0.11%
183 Saint Vincent and the Grenadines Apr 21, 2023 110,608 36.10% 124 0.11%
184 Chad Jul 16, 2023 16,914,985 35.30% 194 0.00%
185 Grenada Mar 17, 2023 112,003 35.30% 238 0.21%
186 Guinea-Bissau Jun 4, 2023 2,004,916 34.80% 177 0.01%
187 Libya Jan 16, 2023 7,043,445 34.00% 6,437 0.09%
188 Moldova Jun 11, 2023 4,033,963 33.90% 12,125 0.30%
189 Saint Lucia Dec 2, 2022 183,627 33.40% 409 0.22%
190 Djibouti Apr 18, 2023 988,002 33.20% 189 0.02%
191 Sudan Apr 2, 2023 44,909,353 32.40% 5,046 0.01%
192 Bulgaria Jun 11, 2023 6,896,663 31.10% 38,397 0.56%
193 Jamaica Aug 9, 2023 2,974,438 30.40% 3,596 0.12%
194 Bosnia and Herzegovina Jan 29, 2022 3,283,689 29.20% 16,352 0.50%
195 Benin Dec 18, 2022 12,123,200 27.70% 163 0.00%
196 Burkina Faso Jul 23, 2023 21,510,181 26.90% 396 0.00%
197 Kenya Apr 2, 2023 54,985,698 26.80% 5,689 0.01%
198 Malawi Jul 2, 2023 19,129,952 26.30% 2,686 0.01%
199 Kyrgyzstan N/A 6,661,280 25.90% 1,024 0.02%
200 Iraq Jan 2, 2023 41,179,350 25.50% 25,375 0.06%
201 Togo Jul 23, 2023 8,278,724 25.40% 290 0.00%
202 Gambia Mar 19, 2023 2,416,668 24.90% 372 0.02%
203 Namibia Jul 16, 2023 2,518,219 24.30% 4,098 0.16%
204 Niger Mar 12, 2023 26,206,162 23.70% 315 0.00%
205 Mali May 14, 2023 20,853,139 19.30% 743 0.00%
206 Algeria Sep 4, 2022 44,616,624 17.50% 6,881 0.02%
207 Democratic Republic of Congo Jun 4, 2023 89,561,403 17.20% 1,468 0.00%
208 Equatorial Guinea Jul 24, 2022 1,402,985 16.10% 183 0.01%
209 Senegal Jul 23, 2023 17,982,329 15.50% 1,971 0.01%
210 Syria Apr 18, 2023 18,274,076 14.90% 3,163 0.02%
211 Cameroon Jul 23, 2023 27,244,718 13.30% 1,974 0.01%
212 Gabon Feb 5, 2023 2,276,308 13.00% 307 0.01%
213 Congo Jul 31, 2022 5,518,087 11.70% 389 0.01%
214 Madagascar Jul 16, 2023 28,420,689 9.10% 1,425 0.01%
215 Haiti Jun 2, 2023 11,566,485 4.50% 860 0.01%
216 Papua New Guinea May 1, 2023 9,065,671 3.80% 670 0.01%
217 Yemen Jun 20, 2023 30,129,130 3.10% 2,159 0.01%
218 Burundi Jul 23, 2023 12,374,325 0.30% 15 0.00%