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India: COVID-19 Cases (Coronavirus Disease)

Contents: by States and Territories

The cumulative number of confirmed COVID-19 cases (i.e. cases of the coronavirus disease) caused by the SARS-CoV-2 virus in the Indian states and union territories.

The Details icon links to further information about a selected division.

Info Measure for growth: Number of new cases per day and 100,000 inhabitants.

NameStatusCases
count
2020-06-10
Cases
count
2020-07-08
Cases
count
2020-08-05
Cases
count
2020-09-02
Cases
count
2020-09-30
Cases
count
2020-10-28
Cases
count
2020-11-25
Cases
count
2020-12-23
Cases
count
2021-01-20
Cases
count
2021-03-01
Andaman & Nicobar IslandsUnion Territory331491,0273,1863,8354,2894,6774,8964,9915,020
Andhra PradeshState5,07022,259186,461455,531693,484814,774864,674879,718886,418889,916
Arunachal PradeshState572871,8554,3609,79614,58016,17416,66916,81516,836
AssamState2,93713,33650,445115,279180,811205,237212,021215,680216,919217,537
BiharState5,45913,18964,770141,441182,728213,576231,539247,807258,176262,534
ChandigarhUnion Territory3235131,2704,78911,93814,21216,92519,26620,62321,770
ChhattisgarhState1,2403,52510,40735,683113,602181,583229,203271,194294,949312,560
Dadra & Nagar Haveli & Daman & DiuUnion Territory...4081,3662,4353,0403,2373,3273,3653,3933,406
DelhiUnion Territory31,309104,864140,232179,569279,715370,014545,787619,618633,049639,289
GoaState3592,0397,42318,64233,41842,96847,19350,36452,65754,986
GujaratState21,01438,33366,66998,888137,232169,891201,949238,205257,342269,889
HaryanaState5,20918,69038,54868,218128,599162,223224,489259,226266,686270,784
Himachal PradeshState4451,1012,9166,41614,97621,14936,56653,39257,08258,645
Jammu & KashmirUnion Territory4,3469,26122,95538,86475,07093,213107,819119,053123,647126,441
JharkhandState1,4113,09614,88844,86283,651100,569108,158113,609118,012119,949
KarnatakaState5,92128,877151,449361,341601,767812,784878,055912,340933,578951,251
KeralaState2,0966,19529,15178,072196,106411,464578,363721,510864,1951,059,403
LadakhUnion Territory1081,0411,5922,7854,2696,0858,1199,3099,6689,818
LakshadweepUnion Territory0000000030382
Madhya PradeshState9,84916,03635,73466,914128,047169,271198,284234,331252,466261,766
MaharashtraState90,787223,724468,265825,7391,384,4461,660,7661,795,9591,906,3711,997,9922,155,070
ManipurState3041,4353,0936,50710,98317,80924,13327,82728,91929,273
MeghalayaState43809292,5175,6399,22611,51313,32813,71713,962
MizoramState881975371,0202,0172,6563,7654,1564,3464,423
NagalandState1276572,4984,0176,1638,82410,99111,87712,06712,200
Odisha (Orissa)State3,14010,62439,018109,780219,119285,482316,001327,279333,723337,191
Puducherry (Pondicherry)Union Territory1271,0084,43315,15727,54434,58336,82037,84538,73739,725
PunjabState2,7196,90719,85656,989113,886132,263148,435164,145171,136182,176
RajasthanState11,24522,06347,27284,674135,292191,629253,767301,708315,816320,336
SikkimState131338001,7043,0123,8754,8195,6326,0576,145
Tamil NaduState34,914122,350273,460439,959597,602716,751774,710810,080832,415851,542
TelanganaState3,92029,53673,050133,406193,600235,656266,904283,556292,621298,923
TripuraState8641,7615,72513,29226,06630,56632,57833,21633,33933,417
Uttarakhand (Uttaranchal)State1,5373,2588,25421,23449,00061,26172,64287,94095,19297,031
Uttar PradeshState11,33531,156104,388241,439399,082476,034533,355577,642597,628603,527
West BengalState8,98524,82383,800168,697257,049361,703466,991541,624566,482575,118
IndiaIndependent Country276,583767,2961,964,5363,853,4066,225,7638,040,2039,266,70510,123,77810,610,88311,112,241

Source: 2019 Novel Coronavirus COVID-19 Data Repository by Johns Hopkins CSSE.

Last Change: 2021-03-02 06:15 UTC

Explanation: Total figures may be slightly higher than the sum of cases in the states and territories because of COVID-19 cases with unknown location.


Further information about the Cases:

New Cases per Day
Period sinceNumberper 100,000
inhabitants
2020-06-1017,525.51.322
2020-07-0842,758.63.224
2020-08-0567,459.65.087
2020-09-0284,727.06.389
2020-09-3064,801.44.887
2020-10-2843,803.63.303
2020-11-2530,609.82.308
2020-12-2317,396.61.312
2021-01-2012,534.00.945
Deaths
dateNumberper 1 million
inhabitants
2020-06-1030.0023
2020-07-084050.3054
2020-08-052,5511.9237
2020-09-028,1026.1097
2020-09-3021,12915.9333
2020-10-2840,69930.6909
2020-11-2567,37650.8079
2020-12-2397,49773.5220
2021-01-20120,52790.8888
2021-03-01135,223101.9710
Acutely Ill
dateNumberper 100,000
inhabitants
2020-06-10276,56620.8557
2020-07-08765,45957.7229
2020-08-051,935,585145.9615
2020-09-023,710,098279.7766
2020-09-305,728,256431.9649
2020-10-286,671,168503.0694
2020-11-256,228,837469.7134
2020-12-234,838,456364.8655
2021-01-203,174,367239.3774
2021-03-012,297,880173.2820
Recovered
dateNumber
2020-06-1014
2020-07-081,432
2020-08-0526,400
2020-09-02135,206
2020-09-30476,378
2020-10-281,328,336
2020-11-252,970,492
2020-12-235,187,825
2021-01-207,315,989
2021-03-018,679,138
Cases: Status (21-03-01)
acutely ill168,632
deceased157,157
recovered10,786,452