grapher
Data license: ODbL · Data source: our world in data github owid/covid-19-data repository
2,867 rows sorted by Daily new confirmed cases of COVID-19 per million people
This data as json, copyable, CSV (advanced)
Link | rowid | country | year | Daily new confirmed cases of COVID-19 | Daily new confirmed deaths due to COVID-19 | Total confirmed cases of COVID-19 | Total confirmed deaths due to COVID-19 | Daily new confirmed cases of COVID-19 per million people ▼ | Daily new confirmed deaths due to COVID-19 per million people | Total confirmed cases of COVID-19 per million people | Total confirmed deaths due to COVID-19 per million people | Days since the total confirmed cases of COVID-19 reached 100 | Days since the total confirmed cases of COVID-19 reached 100 (positive only) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | Afghanistan | 35 | 1 | 0.026277796620417838 | ||||||||
23 | 23 | Albania | 48 | 2 | 0.6798017969880702 | ||||||||
32 | 32 | Algeria | 36 | 1 | 0.023076964792974816 | ||||||||
53 | 53 | Andorra | 42 | 1 | |||||||||
54 | 54 | Andorra | 43 | 0 | 1 | ||||||||
55 | 55 | Andorra | 44 | 0 | 1 | ||||||||
56 | 56 | Andorra | 45 | 0 | 1 | ||||||||
57 | 57 | Andorra | 46 | 0 | 1 | ||||||||
58 | 58 | Andorra | 47 | 0 | 1 | ||||||||
59 | 59 | Andorra | 48 | 0 | 1 | ||||||||
60 | 60 | Andorra | 49 | 0 | 1 | ||||||||
61 | 61 | Andorra | 50 | 0 | 1 | ||||||||
62 | 62 | Andorra | 51 | 0 | 1 | ||||||||
63 | 63 | Andorra | 52 | 0 | 1 | ||||||||
64 | 64 | Andorra | 53 | 1 | 2 | ||||||||
65 | 65 | Andorra | 54 | 0 | 2 | ||||||||
66 | 66 | Andorra | 55 | 0 | 2 | ||||||||
67 | 67 | Andorra | 56 | 12 | 14 | ||||||||
68 | 68 | Antigua and Barbuda | 53 | 1 | 9.513842641042716 | ||||||||
72 | 72 | Argentina | 43 | 1 | 0.021973000060931124 | ||||||||
86 | 86 | Armenia | 41 | 1 | 0.3402889529615177 | ||||||||
102 | 102 | Aruba | 56 | 2 | 18.79028166632218 | ||||||||
103 | 103 | Australia | 4 | 3 | 0.11811871379587595 | -46 | |||||||
156 | 156 | Austria | 36 | 2 | 0.2277331104585293 | -11 | |||||||
177 | 177 | Azerbaijan | 40 | 3 | 0.2970372612451624 | ||||||||
194 | 194 | Bahamas | 56 | 1 | 2.4579747762628457 | ||||||||
195 | 195 | Bahrain | 35 | 8 | 4.71207734874968 | -14 | |||||||
217 | 217 | Bangladesh | 48 | 3 | 0.01767041401762373 | ||||||||
226 | 226 | Belarus | 38 | 1 | 0.1062086270931198 | ||||||||
245 | 245 | Belgium | 15 | 1 | 0.08605872716388645 | -31 | |||||||
287 | 287 | Benin | 56 | 1 | 0.08248793510839121 | ||||||||
288 | 288 | Bhutan | 45 | 1 | 1.197253500469922 | ||||||||
300 | 300 | Bolivia | 50 | 2 | 0.17325044339119725 | ||||||||
307 | 307 | Bosnia and Herzegovina | 44 | 2 | 0.5717209658653998 | ||||||||
320 | 320 | Brazil | 37 | 1 | 0.0046758896345280715 | -17 | |||||||
340 | 340 | Brunei | 49 | 1 | 2.249622625804521 | ||||||||
348 | 348 | Bulgaria | 47 | 2 | 0.2881625559557653 | ||||||||
358 | 358 | Burkina Faso | 50 | 2 | 0.09567846677170568 | ||||||||
365 | 365 | Cambodia | 7 | 1 | 0.05982468495722654 | ||||||||
415 | 415 | Cameroon | 45 | 1 | 0.038523496096645286 | ||||||||
427 | 427 | Canada | 6 | 1 | 0.026593477869772 | -46 | |||||||
478 | 478 | Cayman Islands | 53 | 1 | |||||||||
479 | 479 | Cayman Islands | 54 | 0 | 1 | ||||||||
480 | 480 | Cayman Islands | 55 | 0 | 1 | 1 | |||||||
481 | 481 | Cayman Islands | 56 | 0 | 0 | 1 | 1 | ||||||
482 | 482 | Central African Republic | 54 | 1 | 0.2032153133305791 | ||||||||
485 | 485 | Chile | 43 | 1 | 0.05413411694993877 | -13 | |||||||
499 | 499 | China | 0 | 278 | 6 | 0.195149582948564 | 0.004211861502486993 | 0 | 0 | ||||
556 | 556 | Colombia | 46 | 1 | 0.019912222145847785 | ||||||||
567 | 567 | Congo | 54 | 1 | 0.17584220061590491 | ||||||||
570 | 570 | Costa Rica | 47 | 5 | 0.9912415875804568 | ||||||||
580 | 580 | Croatia | 36 | 2 | 0.4859149060957296 | ||||||||
601 | 601 | Cuba | 52 | 3 | 0.26097186618893736 | ||||||||
606 | 606 | Curacao | 54 | 2 | 12.232789993577786 | ||||||||
609 | 609 | Cyprus | 49 | 2 | 1.6565300830004397 | ||||||||
617 | 617 | Czech Republic | 41 | 3 | 0.2821292558257811 | -11 | |||||||
633 | 633 | Cote d'Ivoire | 51 | 1 | 0.03820913771528461 | ||||||||
639 | 639 | Democratic Republic of Congo | 50 | 1 | 0.011172535102178029 | ||||||||
646 | 646 | Denmark | 37 | 1 | 0.17250897046646424 | -13 | |||||||
666 | 666 | Dominican Republic | 41 | 1 | 0.09002230572691301 | ||||||||
682 | 682 | Ecuador | 40 | 1 | 0.05768462454404631 | ||||||||
699 | 699 | Egypt | 25 | 1 | 0.00971425669363772 | -30 | |||||||
731 | 731 | Equatorial Guinea | 54 | 1 | 0.7110959410643685 | ||||||||
734 | 734 | Estonia | 37 | 1 | 0.7689001421696363 | -18 | |||||||
754 | 754 | Swaziland | 54 | 1 | 0.6947845994045696 | ||||||||
757 | 757 | Ethiopia | 53 | 1 | 0.008868466190790684 | ||||||||
761 | 761 | Faeroe Islands | 47 | 1 | |||||||||
762 | 762 | Faeroe Islands | 48 | 1 | 2 | ||||||||
763 | 763 | Faeroe Islands | 49 | 0 | 2 | ||||||||
764 | 764 | Faeroe Islands | 50 | 0 | 2 | ||||||||
765 | 765 | Faeroe Islands | 51 | 0 | 2 | ||||||||
766 | 766 | Faeroe Islands | 52 | 0 | 2 | ||||||||
767 | 767 | Faeroe Islands | 53 | 1 | 3 | ||||||||
768 | 768 | Faeroe Islands | 54 | 6 | 9 | ||||||||
769 | 769 | Faeroe Islands | 55 | 2 | 11 | ||||||||
770 | 770 | Faeroe Islands | 56 | 36 | 47 | ||||||||
771 | 771 | Finland | 9 | 1 | 0.17920739079952844 | -43 | |||||||
819 | 819 | France | 4 | 3 | 0.04564739532538719 | -36 | |||||||
872 | 872 | French Guiana | 47 | 5 | 16.448342336059373 | ||||||||
882 | 882 | French Polynesia | 51 | 1 | 3.4394518889469774 | ||||||||
888 | 888 | Gabon | 53 | 1 | 0.4648375927176685 | ||||||||
892 | 892 | Georgia | 37 | 1 | 0.2565070055910832 | ||||||||
912 | 912 | Germany | 7 | 1 | 0.012115271966653924 | -34 | |||||||
962 | 962 | Ghana | 53 | 1 | 0.032537514534101024 | ||||||||
966 | 966 | Gibraltar | 44 | 1 | |||||||||
967 | 967 | Gibraltar | 45 | 0 | 1 | ||||||||
968 | 968 | Gibraltar | 46 | 0 | 1 | ||||||||
969 | 969 | Gibraltar | 47 | 0 | 1 | ||||||||
970 | 970 | Gibraltar | 48 | 0 | 1 | ||||||||
971 | 971 | Gibraltar | 49 | 0 | 1 | ||||||||
972 | 972 | Gibraltar | 50 | 0 | 1 | ||||||||
973 | 973 | Gibraltar | 51 | 0 | 1 | ||||||||
974 | 974 | Gibraltar | 52 | 0 | 1 | ||||||||
975 | 975 | Gibraltar | 53 | 0 | 1 | ||||||||
976 | 976 | Gibraltar | 54 | 0 | 1 | ||||||||
977 | 977 | Gibraltar | 55 | 0 | 1 | ||||||||
978 | 978 | Gibraltar | 56 | 2 | 3 | ||||||||
979 | 979 | Greece | 37 | 1 | 0.09006921999695205 | -17 | |||||||
999 | 999 | Guadeloupe | 53 | 1 | |||||||||
1000 | 1000 | Guadeloupe | 54 | 2 | 3 |
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CREATE TABLE "grapher" ( "country" TEXT, "year" INTEGER, "Daily new confirmed cases of COVID-19" INTEGER, "Daily new confirmed deaths due to COVID-19" INTEGER, "Total confirmed cases of COVID-19" INTEGER, "Total confirmed deaths due to COVID-19" INTEGER, "Daily new confirmed cases of COVID-19 per million people" REAL, "Daily new confirmed deaths due to COVID-19 per million people" REAL, "Total confirmed cases of COVID-19 per million people" REAL, "Total confirmed deaths due to COVID-19 per million people" REAL, "Days since the total confirmed cases of COVID-19 reached 100" INTEGER, "Days since the total confirmed cases of COVID-19 reached 100 (positive only)" INTEGER );