Template:COVID-19 vaccination data

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Location Vaccinated[b] % of pop.[c]
  World[d] 616,273,053 7.9%
 China[e] 284,595,000 --
 United States 147,894,671 44.2%
 India 128,627,919 9.3%
 EU 113,808,942 25.6%
 United Kingdom 34,667,904 51.1%
 Brazil 30,364,738 14.3%
 Germany 24,546,919 29.3%
 Turkey 14,132,161 16.8%
 France 16,158,403 23.7%
 Italy 15,190,069 25.1%
 Canada 13,394,276 35.2%
 Indonesia 12,699,568 4.6%
 Mexico 12,740,897 9.9%
 Russia 12,478,994 8.6%
 Spain 12,381,213 26.5%
 United Arab Emirates[e] 10,779,163 --
 Saudi Arabia[e] 9,816,391 --
 Poland 9,186,041 24.3%
 Chile 8,169,056 42.7%
 Argentina 7,149,293 15.8%
 Bangladesh 5,819,757 3.5%
 Israel 5,410,942 62.5%
 Morocco 5,177,964 14.0%
 Netherlands 4,448,730 26.0%
 Hungary 4,099,495 42.4%
 South Korea 3,530,014 6.9%
 Colombia 3,454,250 6.8%
 Romania 3,355,073 17.4%
 Belgium 3,133,908 27.0%
 Sweden 2,681,307 26.6%
 Portugal 2,583,878 25.3%
 Japan 2,493,961 2.0%
 Austria 2,401,839 26.7%
 Czech Republic 2,327,091 21.7%
 Australia[e] 2,316,969 --
 Greece 2,214,648 21.2%
 Pakistan 2,100,000 0.9%
 Nepal 2,091,511 7.2%
 Serbia 2,028,490 29.8%
 Switzerland 1,841,984 21.3%
 Philippines 1,786,480 1.7%
 Finland 1,723,088 31.1%
 Cambodia 1,515,447 9.1%
 Denmark 1,387,556 24.0%
 Singapore 1,364,124 23.3%
 Dominican Republic 1,251,674 11.5%
 Uruguay 1,191,957 34.3%
 Peru 1,180,939 3.6%
 Kazakhstan 1,422,204 7.6%
 Norway 1,379,744 25.4%
 Kuwait[e] 1,367,000 --
 Nigeria 1,246,845 0.6%
 Ethiopia[e] 1,168,268 --
 Slovakia 1,156,789 21.2%
 Ireland 1,159,083 23.5%
 Thailand 1,150,564 1.6%
 Mongolia 1,128,680 34.4%
 Iran 1,083,138 1.3%
 Qatar 1,047,196 36.4%
 Myanmar 1,040,000 1.9%
 Hong Kong 989,723 13.2%
 Azerbaijan 980,005 9.7%
 Sri Lanka 928,107 4.3%
 Malaysia 914,663 2.8%
 El Salvador 890,109 13.7%
 Kenya 853,081 1.6%
 Ghana 849,527 2.7%
 Ecuador 821,960 4.7%
 Jordan 805,020 7.9%
 Ukraine 759,432 1.7%
 Bahrain 747,409 43.9%
 Croatia 716,861 17.5%
 Lithuania 712,738 26.2%
 Egypt 660,000 0.6%
 Bolivia 637,694 5.5%
 Bulgaria 619,256 8.9%
 Costa Rica 605,099 11.9%
 Uzbekistan 600,369 1.8%
 Albania[e] 537,387 --
 Vietnam 506,435 0.5%
 Panama 501,055 11.6%
 Bhutan 480,818 62.3%
 Angola 456,349 1.4%
 Zimbabwe 452,191 3.0%
 Slovenia 439,194 21.1%
 Senegal 416,956 2.5%
 Rwanda 350,310 2.7%
 Estonia 346,940 26.1%
 Uganda 341,819 0.8%
 South Africa 339,655 0.6%
 Tunisia 320,652 2.7%
 Lebanon 307,573 4.5%
 Maldives 298,396 55.2%
 Iraq 298,377 0.7%
 Malawi 296,127 1.6%
 Latvia 273,574 14.5%
 Oman 253,000 5.0%
 Venezuela 250,000 0.9%
 Belarus 244,000 2.6%
 Afghanistan 240,000 0.6%
 Malta 237,018 53.7%
 New Zealand 217,603 4.5%
 Ivory Coast 183,301 0.7%
 Cyprus 176,082 20.1%
 Guatemala 170,591 0.9%
 Palestine 170,109 3.3%
 Togo 160,000 1.9%
 Luxembourg 152,149 24.3%
 Sudan 140,227 0.3%
 Jamaica 135,473 4.6%
 Nicaragua 135,130 2.0%
 Moldova 132,065 3.3%
 Paraguay 131,013 1.8%
 Laos 126,072 1.7%
 Guyana 124,000 15.8%
 Somalia 117,567 0.7%
 Mauritius 117,323 9.2%
 Iceland 110,199 32.3%
 Guinea 95,911 0.7%
 Barbados 75,006 26.1%
 Algeria[e] 75,000 --
 Curaçao 74,294 45.3%
 Macau 71,719 11.0%
 Seychelles 68,045 69.2%
 Taiwan[e] 67,931 --
 North Macedonia 66,086 3.2%
 Equatorial Guinea 64,646 4.6%
 Bosnia and Herzegovina 63,376 1.9%
 Northern Cyprus 60,642 15.9%
 Isle of Man 57,681 67.8%
 Mozambique 57,305 0.2%
 Fiji 56,000 6.2%
 Sierra Leone 55,083 0.7%
 Honduras 55,000 0.6%
 Aruba 54,898 51.4%
 Jersey 52,850 52.3%
 Zambia 51,784 0.3%
 Trinidad and Tobago 51,283 3.7%
 Mali 49,903 0.2%
 Botswana 49,882 2.1%
 Georgia 45,338 1.1%
 Belize 44,548 11.2%
 Suriname 41,110 7.0%
 Montenegro 40,843 6.5%
 Gibraltar 37,504 111.3%
 Cayman Islands 35,774 54.4%
 Eswatini 34,897 3.0%
 Guernsey 32,969 49.2%
 Bermuda 32,129 51.6%
 Antigua and Barbuda 29,754 30.4%
 Kyrgyzstan 27,000 0.4%
 Bahamas 25,692 6.5%
 Saint Lucia[e] 24,473 --
 Andorra 23,822 30.8%
 Kosovo 22,096 1.1%
 San Marino 20,963 61.8%
 Gambia 20,922 0.9%
 Namibia 18,837 0.7%
 Dominica 18,498 25.7%
 Lesotho 16,000 0.8%
 Turks and Caicos Islands 15,039 38.8%
 Saint Vincent and the Grenadines[e] 14,526 --
 Faroe Islands 14,458 29.6%
 Congo 14,297 0.3%
 Monaco 12,758 32.5%
 Grenada 12,666 11.3%
 Greenland 8,900 15.7%
 Liechtenstein 8,815 23.1%
 Saint Kitts and Nevis 11,848 22.3%
 Brunei 10,715 2.5%
 Djibouti 10,246 1.0%
 São Tomé and Príncipe 9,724 4.4%
 Gabon 6,895 0.3%
 Samoa[e] 7,435 --
 Mauritania 7,038 0.1%
 Anguilla 6,115 40.8%
 Tonga 5,367 5.1%
 Solomon Islands 4,890 0.7%
 Saint Helena 3,563 58.7%
 Papua New Guinea 2,900 0.0%
 Falkland Islands 2,632 75.6%
 East Timor 2,629 0.2%
 Syria 2,500 0.0%
 Cape Verde 2,184 0.4%
 DR Congo 1,700 0.0%
 Niger 1,366 0.0%
 Montserrat 1,293 25.9%
 South Sudan 947 0.0%
 Libya 750 0.0%
 Nauru 700 6.5%
 Armenia 565 0.0%
 Cameroon 400 0.0%
 F.S. Micronesia[2] 21,323 20.6%
 Marshall Islands[2] 14,827 25.4%
 Palau[2] 12,808 71.5%
 Vatican City[3][4] 22 2.7%

Sources

Notes

  1. ^ Latest available data as of this date. Individual country reporting frequency varies.
  2. ^ Number of unique individuals who have received at least one dose of a COVID-19 vaccine (unless noted otherwise).
  3. ^ Includes those who are partially vaccinated with a single dose. May include vaccination of non-citizen workers, which can push totals beyond 100% of the local population.
  4. ^ Some countries are not yet reporting first-dose counts. Total dose counts for these countries are not included in the World total.
  5. ^ a b c d e f g h i j k l This country's data reflects total doses administered, not the first shot only.

Template documentation[view] [edit] [history] [purge]

Semi-automated update instructions[edit]

To manually update, reference values included in this GitHub source table. Columns labeled people_vaccinated and people_vaccinated_per_hundred contain relevant data. For corresponding visuals, look to these charts on Our World in Data.

To update the full table in <1 minute, use the Excel macro provided below.

Alternatively, to update the full table in ~3 minutes, run through the following steps:

 Excel update instructions
Requires Microsoft Excel (2007 or later)
  1. Open vaccinations.csv in Excel (GitHub source for reference and last updated date)
  2. Enable filters [Data > Filter]
  3. Sort by date (column C) newest to oldest
  4. Select [Data > Remove Duplicates]. Click 'Unselect all' then check off Location and click 'Ok' (this will remove all older entries)
  5. Sort by total vaccinations (column D) largest to smallest
  6. Select cell M2[a] and paste this formula into the Formula field at the top of the screen[b] (to the right of the 'fx' symbol):
=IF(A2="World","|{{pad|0.1em}}[[File:Emojione 1F310.svg|23x15px|alt=|link=]]{{pad|0.4em}}World{{efn|name=world-total}}",IF(OR(A2="Northern Ireland",A2="Scotland",A2="Wales",A2="England",A2="Europe",A2="Africa",A2="Oceania",A2="North America",A2="South America",A2="Asia"),"|******REMOVE ROW******","|{{flag+link|COVID-19 pandemic in|"&A2&"}}"))&IF(ISBLANK(E2),"{{efn|name=incorrect-total}}||{{font color|darkred|"&TEXT(D2,"#,#")&"}}||--","||"&TEXT(E2,"#,#")&"||"&TEXT(J2/100,"0.0%"))&"<tr>"
  1. Press the enter key to register the formula. Extend the formula to the last row (Click on M2 and double click the black square in the bottom right of the cell)
  2. Copy and paste into Wikipedia.
  3. Delete all rows marked REMOVE.
 Google Sheets update instructions
  1. Open vaccinations.csv in a browser
  2. Copy (Ctrl+A then Ctrl+C) and paste (Ctrl+V) the contents into Google Sheets (be sure cell A1 is selected before pasting)
  3. Enable filters [Data > Create a Filter]
  4. Sort by date (column C) Z to A (most recent first)
  5. Select [Data > Remove Duplicates]. Uncheck 'Select all' and check off 'Column A' for location. (this will remove older entries)
  6. Sort by total vaccinations (column D) Z to A (largest to smallest)
  7. Select cell M2 and paste this formula into the Formula field at the top of the screen[b] (to the right of the 'fx' symbol):
=IF(A2="World","|{{pad|0.1em}}[[File:Emojione 1F310.svg|23x15px|alt=|link=]]{{pad|0.4em}}World{{efn|name=world-total}}",IF(OR(A2="Northern Ireland",A2="Scotland",A2="Wales",A2="England",A2="Europe",A2="Africa",A2="Oceania",A2="North America",A2="South America",A2="Asia"),"|******REMOVE ROW******","|{{flag+link|COVID-19 pandemic in|"&A2&"}}"))&IF(ISBLANK(E2),"{{efn|name=incorrect-total}}||{{font color|darkred|"&TEXT(D2,"#,#")&"}}||--","||"&TEXT(E2,"#,#")&"||"&TEXT(J2/100,"0.0%"))&"<tr>"
  1. Press the enter key to register the formula. Extend the formula to the last row (click on M2 and then double click on the black square in the bottom right of the cell)
  2. Copy and paste into Wikipedia.
  3. Delete all rows marked REMOVE.
  1. ^ If OWID adds additional columns to the source data, paste the formula in the last empty column.
  2. ^ a b Do not attempt to paste directly into the cell
 Excel macro:
  1. Open vaccinations.csv in Excel (if copying and pasting into Excel, you'll likely need to use [Data: Text to Columns] (set to comma delimited) to convert to table layout.
  2. Run the following macro:
Sub OwidUpdate()
'
' Run OWID update routine
'

Range("A1").Select
Selection.AutoFilter
ActiveWorkbook.ActiveSheet.AutoFilter.Sort.SortFields.Clear
ActiveWorkbook.ActiveSheet.AutoFilter.Sort.SortFields.Add2 Key:= _
Range("C1:C" & Range("A" & Rows.Count).End(xlUp).Row), SortOn:=xlSortOnValues, Order:=xlDescending, DataOption _
 :=xlSortNormal
With ActiveWorkbook.ActiveSheet.AutoFilter.Sort
.Header = xlYes
.MatchCase = False
.Orientation = xlTopToBottom
.SortMethod = xlPinYin
.Apply
End With
ActiveSheet.Range("A1:L" & Range("A" & Rows.Count).End(xlUp).Row).RemoveDuplicates Columns:=1, Header:= _
xlYes
ActiveWorkbook.ActiveSheet.AutoFilter.Sort.SortFields.Clear
ActiveWorkbook.ActiveSheet.AutoFilter.Sort.SortFields.Add2 Key:= _
Range("D1:D" & Range("A" & Rows.Count).End(xlUp).Row), SortOn:=xlSortOnValues, Order:=xlDescending, DataOption _
 :=xlSortNormal
With ActiveWorkbook.ActiveSheet.AutoFilter.Sort
.Header = xlYes
.MatchCase = False
.Orientation = xlTopToBottom
.SortMethod = xlPinYin
.Apply
End With
Range("M2").Select
ActiveCell.FormulaR1C1 = _
"=IF(RC[-12]=""World"",""|{{pad|0.1em}}[[File:Emojione 1F310.svg|23x15px|alt=|link=]]{{pad|0.4em}}World{{efn|name=world-total}}"",IF(OR(RC[-12]=""Northern Ireland"",RC[-12]=""Scotland"",RC[-12]=""Wales"",RC[-12]=""England"",RC[-12]=""Europe"",RC[-12]=""Africa"",RC[-12]=""Oceania"",RC[-12]=""North America"",RC[-12]=""South America"",RC[-12]=""Asia""),""|******REMOVE ROW******"",""|{{flag+link|COVID-19 pandemic in|""&RC[-12]&""}}""))&IF(ISBLANK(RC[-8]),""{{efn|name=incorrect-total}}||{{font color|darkred|" & _
"""&TEXT(RC[-9],""#,#"")&""}}||--"",""||""&TEXT(RC[-8],""#,#"")&""||""&TEXT(RC[-3]/100,""0.0%""))&""<tr>"""
Range("M2").Select
Selection.AutoFill Destination:=Range("M2:M" & Range("A" & Rows.Count).End(xlUp).Row)
' Remove bad rows
Dim rng As Range
Dim pos As Integer
Set rng = ActiveSheet.UsedRange
For i = rng.Cells.Count To 1 Step -1
pos = InStr(LCase(rng.Item(i).Value), LCase("remove"))
If pos > 0 Then
rng.Item(i).EntireRow.Delete
End If
Next i
' Select and copy range for Wikipedia
Range("M2:M" & Range("A" & Rows.Count).End(xlUp).Row).Select
Selection.Copy
End Sub
  1. ^ "Coronavirus (COVID-19) Vaccinations". Our World in Data. Sourced from individual health agencies.CS1 maint: postscript (link)
  2. ^ a b c "COVID Data Tracker". Centers for Disease Control and Prevention.
  3. ^ "Pope Francis and Benedict XVI receive second dose of COVID-19 vaccine". Catholic News Agency.
  4. ^ "Vatican defends pope's trip to Iraq, stadium mass for 10,000 people". Associated Press. 2 March 2021.

Usage[edit]