<p>The daily rise in coronavirus cases in India remained below 3 lakh for the fifth consecutive day with 2.59 lakh new cases recorded in a single day, according to the Union Health Ministry data updated on Friday.</p>.<p>With a total of 2,59,551 fresh cases, India's total tally of Covid-19 cases climbed to 2,60,31,991. </p>.<p><strong>Coronavirus in India:</strong></p>.<p><strong>Total number of positive cases (including deaths):<style type="text/css"></style>2,60,31,991 as of May 21, 2021</strong></p>.<p><strong>States/UTs death toll (details are updated as we receive information):<style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style>2,91,331</strong> <strong> as of May 21, 2021</strong></p>.<table align="center" border="5" cellspacing="3"> <tbody> <tr> <td class="rtecenter"><strong>State </strong></td> <td class="rtecenter"><strong>Total Cases</strong></td> <td class="rtecenter"><strong>Deaths</strong></td> </tr> <tr> <td>Andaman and Nicobar Islands</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":6758}">6,758</td> <td class="rteright" data-sheets-value="{"1":3,"3":96}">96</td> </tr> <tr> <td>Andhra Pradesh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":23159}">23,159</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":89}">89</td> </tr> <tr> <td>Arunachal Pradesh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":353574}">353,574</td> <td class="rteright" data-sheets-value="{"1":3,"3":2507}">2507</td> </tr> <tr> <td>Assam</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":676045}">676,045</td> <td class="rteright" data-sheets-value="{"1":3,"3":4241}">4241</td> </tr> <tr> <td>Bihar</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":57331}">57,331</td> <td class="rteright" data-sheets-value="{"1":3,"3":666}">666</td> </tr> <tr> <td>Chandigarh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":936423}">936,423</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":12295}">12,295</td> </tr> <tr> <td>Chhattisgarh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":9850}">9,850</td> <td class="rteright" data-sheets-value="{"1":3,"3":4}">4</td> </tr> <tr> <td>Dadra and Nagar Haveli & Daman and Diu</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":141567}">141,567</td> <td class="rteright" data-sheets-value="{"1":3,"3":2272}">2272</td> </tr> <tr> <td>Delhi</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":776220}">776,220</td> <td class="rteright" data-sheets-value="{"1":3,"3":9404}">9404</td> </tr> <tr> <td>Goa</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":722964}">722,964</td> <td class="rteright" data-sheets-value="{"1":3,"3":7205}">7205</td> </tr> <tr> <td>Gujarat</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":172722}">172,722</td> <td class="rteright" data-sheets-value="{"1":3,"3":2595}">2595</td> </tr> <tr> <td>Haryana</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":324884}">324,884</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":4714}">4,714</td> </tr> <tr> <td>Himachal Pradesh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2335524}">2,335,524</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":23854}">23,854</td> </tr> <tr> <td>Jammu and Kashmir</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2263959}">2,263,959</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":6852}">6,852</td> </tr> <tr> <td>Jharkhand</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5756}">5,756</td> <td class="rteright" data-sheets-value="{"1":3,"3":20}">20</td> </tr> <tr> <td>Karnataka</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":752735}">752,735</td> <td class="rteright" data-sheets-value="{"1":3,"3":7315}">7315</td> </tr> <tr> <td>Kerala</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5497448}">5,497,448</td> <td class="rteright" data-sheets-value="{"1":3,"3":85355}">85355</td> </tr> <tr> <td>Ladakh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":41909}">41,909</td> <td class="rteright" data-sheets-value="{"1":3,"3":646}">646</td> </tr> <tr> <td>Lakshadweep</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":26927}">26,927</td> <td class="rteright" data-sheets-value="{"1":3,"3":389}">389</td> </tr> <tr> <td>Madhya Pradesh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":9740}">9,740</td> <td class="rteright" data-sheets-value="{"1":3,"3":30}">30</td> </tr> <tr> <td>Maharashtra</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":19284}">19,284</td> <td class="rteright" data-sheets-value="{"1":3,"3":245}">245</td> </tr> <tr> <td>Manipur</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1409950}">1,409,950</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":22579}">22,579</td> </tr> <tr> <td>Meghalaya</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":91465}">91,465</td> <td class="rteright" data-sheets-value="{"1":3,"3":1212}">1212</td> </tr> <tr> <td>Mizoram</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":523423}">523,423</td> <td class="rteright" data-sheets-value="{"1":3,"3":12317}">12317</td> </tr> <tr> <td>Nagaland</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":897193}">897,193</td> <td class="rteright" data-sheets-value="{"1":3,"3":7080}">7080</td> </tr> <tr> <td>Odisha</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":12204}">12,204</td> <td class="rteright" data-sheets-value="{"1":3,"3":212}">212</td> </tr> <tr> <td>Puducherry</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1734804}">1,734,804</td> <td class="rteright" data-sheets-value="{"1":3,"3":18369}">18369</td> </tr> <tr> <td>Punjab</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":544263}">544,263</td> <td class="rteright" data-sheets-value="{"1":3,"3":3012}">3012</td> </tr> <tr> <td>Rajasthan</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":44359}">44,359</td> <td class="rteright" data-sheets-value="{"1":3,"3":450}">450</td> </tr> <tr> <td>Sikkim</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1651530}">1,651,530</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":18588}">18,588</td> </tr> <tr> <td>Tamil Nadu</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":303940}">303,940</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5484}">5,484</td> </tr> <tr> <td>Telangana</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1209958}">1,209,958</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":13895}">13,895</td> </tr> <tr> <td>Tripura</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":655899}">655,899</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2403}">2,403</td> </tr> <tr> <td>Uttarakhand</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1521142}">1,521,142</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":9800}">9,800</td> </tr> <tr> <td>Uttar Pradesh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":260057}">260,057</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3422}">3,422</td> </tr> <tr> <td>West Bengal</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":17025}">17,025</td> <td class="rteright" data-sheets-value="{"1":3,"3":172}">172</td> </tr> </tbody></table>.<p><strong>No. of people discharged: </strong> <strong>2,27,12,735 </strong></p>.<p><strong>Total Vaccination: </strong> <strong>19,18,79,503 </strong></p>.<p><em>Note: The tallies above include foreigners who have been infected with Covid-19.</em></p>
<p>The daily rise in coronavirus cases in India remained below 3 lakh for the fifth consecutive day with 2.59 lakh new cases recorded in a single day, according to the Union Health Ministry data updated on Friday.</p>.<p>With a total of 2,59,551 fresh cases, India's total tally of Covid-19 cases climbed to 2,60,31,991. </p>.<p><strong>Coronavirus in India:</strong></p>.<p><strong>Total number of positive cases (including deaths):<style type="text/css"></style>2,60,31,991 as of May 21, 2021</strong></p>.<p><strong>States/UTs death toll (details are updated as we receive information):<style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style>2,91,331</strong> <strong> as of May 21, 2021</strong></p>.<table align="center" border="5" cellspacing="3"> <tbody> <tr> <td class="rtecenter"><strong>State </strong></td> <td class="rtecenter"><strong>Total Cases</strong></td> <td class="rtecenter"><strong>Deaths</strong></td> </tr> <tr> <td>Andaman and Nicobar Islands</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":6758}">6,758</td> <td class="rteright" data-sheets-value="{"1":3,"3":96}">96</td> </tr> <tr> <td>Andhra Pradesh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":23159}">23,159</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":89}">89</td> </tr> <tr> <td>Arunachal Pradesh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":353574}">353,574</td> <td class="rteright" data-sheets-value="{"1":3,"3":2507}">2507</td> </tr> <tr> <td>Assam</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":676045}">676,045</td> <td class="rteright" data-sheets-value="{"1":3,"3":4241}">4241</td> </tr> <tr> <td>Bihar</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":57331}">57,331</td> <td class="rteright" data-sheets-value="{"1":3,"3":666}">666</td> </tr> <tr> <td>Chandigarh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":936423}">936,423</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":12295}">12,295</td> </tr> <tr> <td>Chhattisgarh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":9850}">9,850</td> <td class="rteright" data-sheets-value="{"1":3,"3":4}">4</td> </tr> <tr> <td>Dadra and Nagar Haveli & Daman and Diu</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":141567}">141,567</td> <td class="rteright" data-sheets-value="{"1":3,"3":2272}">2272</td> </tr> <tr> <td>Delhi</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":776220}">776,220</td> <td class="rteright" data-sheets-value="{"1":3,"3":9404}">9404</td> </tr> <tr> <td>Goa</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":722964}">722,964</td> <td class="rteright" data-sheets-value="{"1":3,"3":7205}">7205</td> </tr> <tr> <td>Gujarat</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":172722}">172,722</td> <td class="rteright" data-sheets-value="{"1":3,"3":2595}">2595</td> </tr> <tr> <td>Haryana</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":324884}">324,884</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":4714}">4,714</td> </tr> <tr> <td>Himachal Pradesh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2335524}">2,335,524</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":23854}">23,854</td> </tr> <tr> <td>Jammu and Kashmir</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2263959}">2,263,959</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":6852}">6,852</td> </tr> <tr> <td>Jharkhand</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5756}">5,756</td> <td class="rteright" data-sheets-value="{"1":3,"3":20}">20</td> </tr> <tr> <td>Karnataka</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":752735}">752,735</td> <td class="rteright" data-sheets-value="{"1":3,"3":7315}">7315</td> </tr> <tr> <td>Kerala</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5497448}">5,497,448</td> <td class="rteright" data-sheets-value="{"1":3,"3":85355}">85355</td> </tr> <tr> <td>Ladakh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":41909}">41,909</td> <td class="rteright" data-sheets-value="{"1":3,"3":646}">646</td> </tr> <tr> <td>Lakshadweep</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":26927}">26,927</td> <td class="rteright" data-sheets-value="{"1":3,"3":389}">389</td> </tr> <tr> <td>Madhya Pradesh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":9740}">9,740</td> <td class="rteright" data-sheets-value="{"1":3,"3":30}">30</td> </tr> <tr> <td>Maharashtra</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":19284}">19,284</td> <td class="rteright" data-sheets-value="{"1":3,"3":245}">245</td> </tr> <tr> <td>Manipur</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1409950}">1,409,950</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":22579}">22,579</td> </tr> <tr> <td>Meghalaya</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":91465}">91,465</td> <td class="rteright" data-sheets-value="{"1":3,"3":1212}">1212</td> </tr> <tr> <td>Mizoram</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":523423}">523,423</td> <td class="rteright" data-sheets-value="{"1":3,"3":12317}">12317</td> </tr> <tr> <td>Nagaland</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":897193}">897,193</td> <td class="rteright" data-sheets-value="{"1":3,"3":7080}">7080</td> </tr> <tr> <td>Odisha</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":12204}">12,204</td> <td class="rteright" data-sheets-value="{"1":3,"3":212}">212</td> </tr> <tr> <td>Puducherry</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1734804}">1,734,804</td> <td class="rteright" data-sheets-value="{"1":3,"3":18369}">18369</td> </tr> <tr> <td>Punjab</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":544263}">544,263</td> <td class="rteright" data-sheets-value="{"1":3,"3":3012}">3012</td> </tr> <tr> <td>Rajasthan</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":44359}">44,359</td> <td class="rteright" data-sheets-value="{"1":3,"3":450}">450</td> </tr> <tr> <td>Sikkim</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1651530}">1,651,530</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":18588}">18,588</td> </tr> <tr> <td>Tamil Nadu</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":303940}">303,940</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5484}">5,484</td> </tr> <tr> <td>Telangana</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1209958}">1,209,958</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":13895}">13,895</td> </tr> <tr> <td>Tripura</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":655899}">655,899</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2403}">2,403</td> </tr> <tr> <td>Uttarakhand</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1521142}">1,521,142</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":9800}">9,800</td> </tr> <tr> <td>Uttar Pradesh</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":260057}">260,057</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3422}">3,422</td> </tr> <tr> <td>West Bengal</td> <td class="rteright" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":17025}">17,025</td> <td class="rteright" data-sheets-value="{"1":3,"3":172}">172</td> </tr> </tbody></table>.<p><strong>No. of people discharged: </strong> <strong>2,27,12,735 </strong></p>.<p><strong>Total Vaccination: </strong> <strong>19,18,79,503 </strong></p>.<p><em>Note: The tallies above include foreigners who have been infected with Covid-19.</em></p>