<p>The spread of the novel coronavirus in India has quickened in the last few days with new cases of Covid-19 and deaths reported every day. The epidemic has expanded its footprint in the country and has affected over 31 lakh people since the first positive case was confirmed on January 30 in Kerala.</p>.<p><a href="https://www.deccanherald.com/national/coronavirus-news-live-updates-india-world-coronavirus-vaccine-karnataka-maharashtra-tamil-nadu-delhi-kerala-gujarat-west-bengal-bangalore-mumbai-new-delhi-chennai-kolkata-cases-deaths-recoveries-876781.html" target="_blank"><strong>For latest updates and live news on coronavirus, click here</strong></a></p>.<p>More than three billion people around the world have lived under <a href="https://www.deccanherald.com/tag/coronavirus-lockdown" target="_blank">lockdown</a> as governments stepped up efforts to contain the pandemic, which has left over 7 lakh people dead globally.</p>.<p><strong><a data-saferedirecturl="https://www.google.com/url?q=https://www.deccanherald.com/national/coronavirus-india-karnataka-maharashtra-delhi-tamil-nadu-west-bengal-update-state-wise-total-number-of-confirmed-cases-deaths-on-august-21-875875.html&source=gmail&ust=1598405112326000&usg=AFQjCNFWz5RnnANpNCVaSjvgJtCLlBb2bg" href="https://www.deccanherald.com/national/coronavirus-india-karnataka-maharashtra-delhi-tamil-nadu-west-bengal-update-state-wise-total-number-of-confirmed-cases-deaths-on-august-26-877861.html" target="_blank">Find the state-wise total number of confirmed cases, deaths on August 26 here</a></strong></p>.<p>On July 5, India surpassed Russia to become the third worst-hit country by the coronavirus, globally.</p>.<p><strong><a href="https://www.deccanherald.com/coronavirus-live-news-covid-19-latest-updates.html" target="_blank">CORONAVIRUS SPECIAL COVERAGE ONLY ON DH</a></strong></p>.<p><strong>Here’s the tally of Covid-19 positive cases in India and the state-wise impact: </strong></p>.<p><strong>Coronavirus in India: Total number of positive cases (including deaths): </strong><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><strong> </strong><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><strong>3,223,621</strong><strong> as of August 25</strong></p>.<p><strong>States/UTs death toll (details are updated as we receive information): </strong><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><strong>59,385</strong></p>.<table align="center" border="3" cellpadding="0" dir="ltr" xmlns="http://www.w3.org/1999/xhtml"> <thead> <tr> <th data-sheets-value="{"1":2,"2":"Andaman and Nicobar Islands"}" data-th="States" scope="col"><strong>States</strong></th> <th data-sheets-value="{"1":3,"3":97}" data-th="Positive cases" scope="col"><strong>Total cases</strong></th> <th data-sheets-value="{"1":3,"3":0}" data-th="Deaths" scope="col"><strong>Deaths</strong></th> </tr> </thead> <tbody> <tr> <td>Andaman and Nicobar Islands</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2998}">2,998</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":33}">33</td> </tr> <tr> <td>Arunachal Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3312}">3,312</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5}">5</td> </tr> <tr> <td>Assam</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":92619}">92,619</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":242}">242</td> </tr> <tr> <td>Bihar</td> <td data-sheets-formula="=SUM(123383+1444)" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":124827}">124,827</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":627}">627</td> </tr> <tr> <td>Chandigarh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3035}">3,209</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":37}">40</td> </tr> <tr> <td>Chhattisgarh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":22054}">22,054</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":206}">206</td> </tr> <tr> <td>Dadra and Nagar Haveli & Daman and Diu</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2181}">2,181</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2}">2</td> </tr> <tr> <td>Goa</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":14138}">14,138</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":148}">148</td> </tr> <tr> <td>Gujarat</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":87846}">88942</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2910}">2,930</td> </tr> <tr> <td>Haryana</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":55460}">56,608</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":613}">623</td> </tr> <tr> <td>Himachal Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5102}">5,102</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":28}">28</td> </tr> <tr> <td>Jharkhand</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":31118}">31,118</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":335}">335</td> </tr> <tr> <td>Karnataka</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":283665}">291826</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":4810}">4958</td> </tr> <tr> <td>Kerala</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":59504}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 61,879</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":234}">234</td> </tr> <tr> <td>Lakshadweep</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":0}">0</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":0}">0</td> </tr> <tr> <td>Madhya Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":54421}">54,421</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1246}">1,246</td> </tr> <tr> <td>Maharashtra</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":693398}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 703,823</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":22465}">22,794</td> </tr> <tr> <td>Manipur</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5362}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 5,444</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":22}">22</td> </tr> <tr> <td>Meghalaya</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1976}">1,976</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":7}">7</td> </tr> <tr> <td>Mizoram</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":953}">953</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":0}">0</td> </tr> <tr> <td>Nagaland</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3714}">3,714</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":9}">9</td> </tr> <tr> <td>Delhi</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":162527}">164,071</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":4313}">4330</td> </tr> <tr> <td>Puducherry</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":10859}">10,859</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":164}">164</td> </tr> <tr> <td>Punjab</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":43284}">43,284</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1129}">1,129</td> </tr> <tr> <td>Rajasthan</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":71955}">73325</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":967}">980</td> </tr> <tr> <td>Sikkim</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1446}">1,446</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3}">3</td> </tr> <tr> <td>Tamil Nadu</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":385352}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 391,303</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":6614}">6721</td> </tr> <tr> <td>Telangana</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":108670}">108,670</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":761}">761</td> </tr> <tr> <td>Tripura</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":9195}">9,195</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":78}">78</td> </tr> <tr> <td>Uttar Pradesh</td> <td data-sheets-value="{"1":3,"3":192382}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 197506</td> <td data-sheets-value="{"1":3,"3":2987}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 3059</td> </tr> <tr> <td>Uttarakhand</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":15529}">16041</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":207}">213</td> </tr> <tr> <td>West Bengal</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":141837}">144801</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2851}">2,909</td> </tr> <tr> <td>Odisha</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":84231}">84,231</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":428}">428</td> </tr> <tr> <td>Andhra Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":361712}">3,71,639</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3368}">3460</td> </tr> <tr> <td>Jammu and Kashmir</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":33075}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 33,776</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":624}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 638</td> </tr> <tr> <td>Ladakh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2330}">2,330</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":23}">23</td> </tr> </tbody></table>.<p><em>Note: The tallies above include foreigners who have been infected with Covid-19.</em></p>.<p><strong>No. of people discharged: 19,19,842</strong></p>.<p>While the Centre and state governments have been trying hard to check the Covid-19 spread by tracking, isolating and treating infected people, the daily rise in India cases is worrisome.</p>
<p>The spread of the novel coronavirus in India has quickened in the last few days with new cases of Covid-19 and deaths reported every day. The epidemic has expanded its footprint in the country and has affected over 31 lakh people since the first positive case was confirmed on January 30 in Kerala.</p>.<p><a href="https://www.deccanherald.com/national/coronavirus-news-live-updates-india-world-coronavirus-vaccine-karnataka-maharashtra-tamil-nadu-delhi-kerala-gujarat-west-bengal-bangalore-mumbai-new-delhi-chennai-kolkata-cases-deaths-recoveries-876781.html" target="_blank"><strong>For latest updates and live news on coronavirus, click here</strong></a></p>.<p>More than three billion people around the world have lived under <a href="https://www.deccanherald.com/tag/coronavirus-lockdown" target="_blank">lockdown</a> as governments stepped up efforts to contain the pandemic, which has left over 7 lakh people dead globally.</p>.<p><strong><a data-saferedirecturl="https://www.google.com/url?q=https://www.deccanherald.com/national/coronavirus-india-karnataka-maharashtra-delhi-tamil-nadu-west-bengal-update-state-wise-total-number-of-confirmed-cases-deaths-on-august-21-875875.html&source=gmail&ust=1598405112326000&usg=AFQjCNFWz5RnnANpNCVaSjvgJtCLlBb2bg" href="https://www.deccanherald.com/national/coronavirus-india-karnataka-maharashtra-delhi-tamil-nadu-west-bengal-update-state-wise-total-number-of-confirmed-cases-deaths-on-august-26-877861.html" target="_blank">Find the state-wise total number of confirmed cases, deaths on August 26 here</a></strong></p>.<p>On July 5, India surpassed Russia to become the third worst-hit country by the coronavirus, globally.</p>.<p><strong><a href="https://www.deccanherald.com/coronavirus-live-news-covid-19-latest-updates.html" target="_blank">CORONAVIRUS SPECIAL COVERAGE ONLY ON DH</a></strong></p>.<p><strong>Here’s the tally of Covid-19 positive cases in India and the state-wise impact: </strong></p>.<p><strong>Coronavirus in India: Total number of positive cases (including deaths): </strong><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><strong> </strong><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><strong>3,223,621</strong><strong> as of August 25</strong></p>.<p><strong>States/UTs death toll (details are updated as we receive information): </strong><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><strong>59,385</strong></p>.<table align="center" border="3" cellpadding="0" dir="ltr" xmlns="http://www.w3.org/1999/xhtml"> <thead> <tr> <th data-sheets-value="{"1":2,"2":"Andaman and Nicobar Islands"}" data-th="States" scope="col"><strong>States</strong></th> <th data-sheets-value="{"1":3,"3":97}" data-th="Positive cases" scope="col"><strong>Total cases</strong></th> <th data-sheets-value="{"1":3,"3":0}" data-th="Deaths" scope="col"><strong>Deaths</strong></th> </tr> </thead> <tbody> <tr> <td>Andaman and Nicobar Islands</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2998}">2,998</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":33}">33</td> </tr> <tr> <td>Arunachal Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3312}">3,312</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5}">5</td> </tr> <tr> <td>Assam</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":92619}">92,619</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":242}">242</td> </tr> <tr> <td>Bihar</td> <td data-sheets-formula="=SUM(123383+1444)" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":124827}">124,827</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":627}">627</td> </tr> <tr> <td>Chandigarh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3035}">3,209</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":37}">40</td> </tr> <tr> <td>Chhattisgarh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":22054}">22,054</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":206}">206</td> </tr> <tr> <td>Dadra and Nagar Haveli & Daman and Diu</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2181}">2,181</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2}">2</td> </tr> <tr> <td>Goa</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":14138}">14,138</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":148}">148</td> </tr> <tr> <td>Gujarat</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":87846}">88942</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2910}">2,930</td> </tr> <tr> <td>Haryana</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":55460}">56,608</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":613}">623</td> </tr> <tr> <td>Himachal Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5102}">5,102</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":28}">28</td> </tr> <tr> <td>Jharkhand</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":31118}">31,118</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":335}">335</td> </tr> <tr> <td>Karnataka</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":283665}">291826</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":4810}">4958</td> </tr> <tr> <td>Kerala</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":59504}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 61,879</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":234}">234</td> </tr> <tr> <td>Lakshadweep</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":0}">0</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":0}">0</td> </tr> <tr> <td>Madhya Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":54421}">54,421</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1246}">1,246</td> </tr> <tr> <td>Maharashtra</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":693398}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 703,823</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":22465}">22,794</td> </tr> <tr> <td>Manipur</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5362}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 5,444</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":22}">22</td> </tr> <tr> <td>Meghalaya</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1976}">1,976</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":7}">7</td> </tr> <tr> <td>Mizoram</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":953}">953</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":0}">0</td> </tr> <tr> <td>Nagaland</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3714}">3,714</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":9}">9</td> </tr> <tr> <td>Delhi</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":162527}">164,071</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":4313}">4330</td> </tr> <tr> <td>Puducherry</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":10859}">10,859</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":164}">164</td> </tr> <tr> <td>Punjab</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":43284}">43,284</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1129}">1,129</td> </tr> <tr> <td>Rajasthan</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":71955}">73325</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":967}">980</td> </tr> <tr> <td>Sikkim</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1446}">1,446</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3}">3</td> </tr> <tr> <td>Tamil Nadu</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":385352}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 391,303</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":6614}">6721</td> </tr> <tr> <td>Telangana</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":108670}">108,670</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":761}">761</td> </tr> <tr> <td>Tripura</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":9195}">9,195</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":78}">78</td> </tr> <tr> <td>Uttar Pradesh</td> <td data-sheets-value="{"1":3,"3":192382}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 197506</td> <td data-sheets-value="{"1":3,"3":2987}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 3059</td> </tr> <tr> <td>Uttarakhand</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":15529}">16041</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":207}">213</td> </tr> <tr> <td>West Bengal</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":141837}">144801</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2851}">2,909</td> </tr> <tr> <td>Odisha</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":84231}">84,231</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":428}">428</td> </tr> <tr> <td>Andhra Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":361712}">3,71,639</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3368}">3460</td> </tr> <tr> <td>Jammu and Kashmir</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":33075}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 33,776</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":624}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 638</td> </tr> <tr> <td>Ladakh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2330}">2,330</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":23}">23</td> </tr> </tbody></table>.<p><em>Note: The tallies above include foreigners who have been infected with Covid-19.</em></p>.<p><strong>No. of people discharged: 19,19,842</strong></p>.<p>While the Centre and state governments have been trying hard to check the Covid-19 spread by tracking, isolating and treating infected people, the daily rise in India cases is worrisome.</p>