Home → → → COVID-19 Cases (Coronavirus Disease)
Show Map

Nordrhein-Westfalen

State in Germany

Contents: COVID-19 Cases (Coronavirus Disease)

COVID-19 Cases (Coronavirus Disease) in Nordrhein-Westfalen as well as related information and services (Wikipedia, Google, images).

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
2020-03-13		Cases
count
2020-04-10		Cases
count
2020-05-08		Cases
count
2020-06-05		Cases
count
2020-07-03		Cases
count
2020-07-31		Cases
count
2020-08-28		Cases
count
2020-09-25		Cases
count
2020-10-23		Cases
incomplete
2020-11-28
Nordrhein-Westfalen [North Rhine-Westphalia]State4,26026,98635,19238,76744,17249,59158,88469,080111,263255,115
BielefeldCounty-level City292783904124795997308441,4594,394
BochumCounty-level City643744705666358121,0441,2912,0145,061
BonnCounty-level City665226857427628421,0261,2301,9774,167
BorkenCounty728019421,1141,1271,1761,2661,3632,0834,517
BottropCounty-level City5951842082212743103535601,707
CoesfeldCounty694596808658758909119571,2522,049
DortmundCounty-level City1175827087751,0261,2831,6482,0403,5699,008
DuisburgCounty-level City596341,0111,2521,6351,9792,4382,7944,34610,679
DürenCounty704605726016166968721,0041,8964,654
DüsseldorfCounty-level City597801,1681,4791,8942,1202,6253,0624,5579,937
Ennepe-Ruhr-KreisCounty713604314715076127638781,6143,739
EssenCounty-level City836247988891,0161,2651,6232,0523,7618,377
EuskirchenCounty332854124704846126957631,0732,312
GelsenkirchenCounty-level City352553734355386528381,1472,1494,985
GüterslohCounty1035476007052,4402,6282,8512,9943,7087,016
HagenCounty-level City141552863344164956577801,3323,512
HammCounty-level City333364624815665937001,0711,7033,405
HeinsbergCounty8571,6101,7951,8981,9571,9842,0792,1642,6094,513
HerfordCounty422883283383934405526331,1393,194
HerneCounty-level City81021741982543224525391,0833,209
HochsauerlandkreisCounty585385986116307178218821,3612,961
HöxterCounty122243173623713794084395741,348
KleveCounty694186127398198631,0401,1061,5433,228
KölnCounty-level City3362,0102,3642,4872,6203,0103,5914,7448,24018,670
KrefeldCounty-level City583285586416737358361,0061,3893,585
LeverkusenCounty-level City261802162432623144225691,0822,296
LippeCounty765677257437688048949921,6204,653
Märkischer KreisCounty253765776016327039271,0731,6894,975
MettmannCounty1076919029831,0701,4051,7161,9843,2857,056
Minden-LübbeckeCounty583764564905045777289101,2653,991
MönchengladbachCounty-level City633925446337008079751,0821,6313,622
Mülheim an der RuhrCounty-level City231301912232803604576211,0632,664
MünsterCounty-level City775906397267337739331,0531,5882,850
Oberbergischer KreisCounty453844674905015256198421,3863,342
OberhausenCounty-level City261602522743144155266151,1202,932
OlpeCounty374166116366586817518021,1151,873
PaderbornCounty494906046657317678379081,1722,818
RecklinghausenCounty977301,1641,2911,4081,5501,8612,2024,1959,819
RemscheidCounty-level City171672232422452743515068831,993
Rhein-Erft-KreisCounty788071,0631,1031,1281,2251,4651,7342,9126,207
Rheinisch-Bergischer KreisCounty783684424694775266217391,2763,370
Rhein-Kreis NeussCounty475356517167949391,1581,3622,1355,323
Rhein-Sieg-KreisCounty1369281,2021,4421,4711,5711,8302,1013,1707,489
Siegen-WittgensteinCounty382263013153173895327111,1243,003
SoestCounty423103503613914144865528902,029
SolingenCounty-level City291982392542953884776371,3793,064
Städteregion AachenCounty2731,5751,9321,9772,0102,1162,3592,7115,0019,934
SteinfurtCounty759911,2921,3311,3571,4221,5841,7742,4384,855
UnnaCounty545106586877819201,1601,3262,5626,249
ViersenCounty444536707117367988831,0101,3073,401
WarendorfCounty663914774998258759461,0371,6713,742
WeselCounty984195666518149631,1961,3672,3675,153
WuppertalCounty-level City545618609381,0161,1121,4141,7242,9466,185
Deutschland [Germany]Federal Republic15,532130,689170,775184,686197,004211,132243,333287,085441,7231,028,089

Source: Robert-Koch-Institut (RKI), Berlin.

Last Change: 2020-11-28 04:39 UTC

Explanation: The reference time for all columns is 0:00. If the date of illness is known, it will be used, otherwise the registration date at the local health authority. The number of recovered persons are the result of calculations by RKI and not of enumerations. Thus, this figure and the resulting number of currently ill persons are rough estimates. New figures underestimate the number of cases because of delayed notifications.

Further information about the Cases:

New Cases per Day
PeriodNumberper 100,000
inhabitants
03-13 ~ 04-10811.64.522
04-10 ~ 05-08293.11.633
05-08 ~ 06-05127.70.711
06-05 ~ 07-03193.01.076
07-03 ~ 07-31193.51.078
07-31 ~ 08-28331.91.849
08-28 ~ 09-25364.12.029
09-25 ~ 10-231,506.58.394
10-23 ~ 11-283,995.922.265
Deaths
dateNumberper 1 million
inhabitants
2020-03-1330.1672
2020-04-1050227.9709
2020-05-081,39777.8393
2020-06-051,61790.0975
2020-07-031,68693.9421
2020-07-311,71195.3351
2020-08-281,73396.5609
2020-09-251,861103.6929
2020-10-231,994111.1036
2020-11-283,380188.3300
Acutely Ill
dateNumberper 100,000
inhabitants
2020-05-084,07022.6776
2020-06-051,90710.6256
2020-07-033,09117.2227
2020-07-315,79632.2947
2020-08-2813,06072.7689
2020-09-257,45241.5217
2020-10-2333,294185.5106
2020-11-2869,486387.1686
Recovered
dateNumber
2020-05-0829,725
2020-06-0535,243
2020-07-0339,395
2020-07-3142,084
2020-08-2844,091
2020-09-2559,767
2020-10-2375,975
2020-11-28182,249
Cases: Status (20-11-28)
Acutely ill69,486
Deceased3,380
Recovered182,249
Cases: Gender (20-11-28)
Males125,253
Females128,818
Cases: Age (20-11-28)
0-14 years22,690
15-34 years85,347
35-59 years99,105
60-79 years32,391
80+ years14,914
Deaths: Gender (20-11-28)
Males1,873
Females1,504
Deaths: Age (20-11-28)
0-14 years5
15-34 years8
35-59 years212
60-79 years1,021
80+ years2,132

See also:

Germany: COVID-19 cases, incidence rates, deaths, acutely ill people and growth by counties