View the current data on COVID-19 and track how the virus is spreading near your location, in your city, country or all over the world
View the current data on COVID-19 and track how the virus is spreading near your location, in your city, country or all over the world
Confirmed cases
Estimated cases
Recovered
Deaths
Confirmed cases
Estimated cases
Deaths
Confirmed cases
Estimated cases
Deaths
Confirmed cases
Estimated cases
Recovered
Deaths
Data sources: Johns Hopkins University CSSE reports; state and national government health departments, and local media reports.
Confirmed cases - include presumptive positive cases.
Estimated cases - the unofficial number of infected people.
Active cases = total confirmed - total recovered - total deaths.
Estimated for the end of the day - assumptions about the number of infected people for the end of the current day.
| Region | Confirmed cases | Deaths | Recovered | Cases/100k pop. |
|---|---|---|---|---|
| Lucknow | 238 839 | 2 651 | 236 165 | 5 205 |
| Varanasi | 85 501 | 971 | 84 528 | 2 322 |
| Kanpur Nagar | 82 933 | 1 905 | 81 024 | 1 814 |
| Allahabad | 78 699 | 1 088 | 77 609 | N/A |
| Meerut | 69 480 | 898 | 68 567 | 2 015 |
| Gautam Buddh Nagar | 63 353 | 467 | 62 876 | N/A |
| Gorakhpur | 59 439 | 848 | 58 588 | 1 340 |
| Ghaziabad | 55 673 | 461 | 55 207 | 1 194 |
| Bareilly | 44 028 | 377 | 43 650 | 986 |
| Moradabad | 39 102 | 349 | 38 752 | 819 |
| Jhansi | 36 556 | 663 | 35 892 | 1 827 |
| Saharanpur | 32 749 | 420 | 32 327 | 945 |
| Muzaffarnagar | 31 009 | 269 | 30 737 | 749 |
| Agra | 25 765 | 457 | 25 308 | 588 |
| Lakhimpur Kheri | 24 410 | 292 | 24 117 | N/A |
| Jaunpur | 22 584 | 235 | 22 349 | 505 |
| Ghazipur | 21 641 | 282 | 21 359 | 597 |
| Ballia | 21 610 | 234 | 21 376 | N/A |
| Aligarh | 21 280 | 108 | 21 172 | 579 |
| Shahjahanpur | 20 361 | 444 | 19 916 | 678 |
| Mathura | 20 297 | 402 | 19 893 | 798 |
| Deoria | 20 223 | 220 | 20 003 | N/A |
| Bulandshahar | 20 215 | 243 | 19 972 | 578 |
| Barabanki | 19 850 | 225 | 19 624 | N/A |
| Azamgarh | 17 906 | 228 | 17 675 | 388 |
| Rae Bareli | 17 104 | 343 | 16 761 | N/A |
| Sonbhadra | 16 807 | 251 | 16 556 | N/A |
| Amroha | 16 616 | 203 | 16 412 | 904 |
| Chandauli | 16 208 | 356 | 15 852 | N/A |
| Pratapgarh | 16 038 | 163 | 15 875 | 505 |
| Kushinagar | 15 617 | 228 | 15 389 | N/A |
| Unnao | 15 011 | 254 | 14 757 | 483 |
| Badaun | 14 941 | 98 | 14 843 | 402 |
| Bijnor | 14 794 | 126 | 14 679 | 402 |
| Etawah | 13 933 | 293 | 13 640 | 882 |
| Hardoi | 13 755 | 349 | 13 406 | 336 |
| Shamli | 12 976 | 45 | 12 931 | N/A |
| Lalitpur | 12 742 | 128 | 12 613 | N/A |
| Hapur | 12 638 | 217 | 12 421 | 944 |
| Maharajganj | 12 440 | 140 | 12 300 | N/A |
| Sitapur | 12 398 | 185 | 12 211 | 277 |
| Gonda | 12 282 | 266 | 12 020 | 358 |
| Rampur | 11 826 | 148 | 11 676 | 506 |
| Basti | 11 717 | 330 | 11 385 | 476 |
| Jalaun | 11 687 | 202 | 11 482 | 700 |
| Bahraich | 11 549 | 178 | 11 371 | 484 |
| Mirzapur | 11 088 | 116 | 10 972 | 444 |
| Pilibhit | 11 032 | 193 | 10 838 | 542 |
| Banda | 10 992 | 158 | 10 832 | 611 |
| Farrukhabad | 10 348 | 194 | 10 153 | N/A |
| Auraiya | 10 090 | 203 | 9 887 | 735 |
| Mainpuri | 10 028 | 182 | 9 846 | 543 |
| Amethi | 9 972 | 143 | 9 828 | N/A |
| Etah | 9 968 | 99 | 9 868 | 566 |
| Sambhal | 9 438 | 106 | 9 331 | 426 |
| Siddharthnagar | 9 373 | 100 | 9 273 | N/A |
| Kannauj | 9 231 | 114 | 9 115 | 557 |
| Bagpat | 9 132 | 141 | 8 991 | N/A |
| Firozabad | 8 720 | 135 | 8 585 | 349 |
| Mau | 8 333 | 80 | 8 252 | 378 |
| Sant Kabir Nagar | 8 159 | 98 | 8 061 | 476 |
| Sant Ravidas Nagar | 7 720 | 163 | 7 557 | 497 |
| Balrampur | 7 494 | 138 | 7 354 | 349 |
| Chitrakoot | 7 110 | 79 | 7 031 | N/A |
| Fatehpur | 6 814 | 139 | 6 674 | N/A |
| Kanpur Dehat | 6 197 | 110 | 6 087 | N/A |
| Hamirpur | 5 232 | 102 | 5 130 | N/A |
| Ambedkar Nagar | 5 040 | 152 | 4 885 | N/A |
| Kaushambi | 4 424 | 70 | 4 353 | 277 |
| Shrawasti | 4 388 | 35 | 4 353 | N/A |
| Mahoba | 4 268 | 86 | 4 182 | N/A |
| Kanshi Ram Nagar | 4 250 | 53 | 4 197 | 296 |
| Hathras | 2 920 | 43 | 2 877 | 187 |
State by state, county by county, the COVID-19 outbreak is spreading in India. Uttar Pradesh is among the states that have the highest number of COVID-19 cases, as of today, its count has risen up to 2,1M.
Sultanpur is not the most affected area in Uttar Pradesh while Varanasi and Kanpur Nagar are the hardest-hit ones in the state. The risk of infection in the county is average if we talk about its population density that is 855 people per km2 but the situation is still difficult. The statistics also show the average infection rate per 100,000 people - it’s 393, but the virus is still spreading.
The COVID-19 outbreak is variable across country, some new clusters emerge, others subside. In this situation, we all should remain calm and take care of ourselves and our relatives. You should be aware of protection measures and the symptoms of coronavirus.
How to protect yourself from coronavirus? What are coronavirus symptoms?