grapher

Data license: ODbL · Data source: our world in data github owid/covid-19-data repository

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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      
2 2 Afghanistan 36 0   1   0.0   0.026277796620417838      
3 3 Afghanistan 37 0   1   0.0   0.026277796620417838      
4 4 Afghanistan 38 0   1   0.0   0.026277796620417838      
5 5 Afghanistan 39 0   1   0.0   0.026277796620417838      
6 6 Afghanistan 40 0   1   0.0   0.026277796620417838      
7 7 Afghanistan 41 0   1   0.0   0.026277796620417838      
8 8 Afghanistan 42 0   1   0.0   0.026277796620417838      
9 9 Afghanistan 43 0   1   0.0   0.026277796620417838      
10 10 Afghanistan 44 0   1   0.0   0.026277796620417838      
11 11 Afghanistan 45 0   1   0.0   0.026277796620417838      
12 12 Afghanistan 46 0   1   0.0   0.026277796620417838      
13 13 Afghanistan 47 3   4   0.0788333898612535   0.10511118648167134      
14 14 Afghanistan 48 0   4   0.0   0.10511118648167134      
15 15 Afghanistan 49 0   4   0.0   0.10511118648167134      
16 16 Afghanistan 50 0   4   0.0   0.10511118648167134      
17 17 Afghanistan 51 3   7   0.0788333898612535   0.18394457634292485      
18 18 Afghanistan 52 0   7   0.0   0.18394457634292485      
19 19 Afghanistan 53 0   7   0.0   0.18394457634292485      
20 20 Afghanistan 54 3   10   0.0788333898612535   0.2627779662041783      
21 21 Afghanistan 55 6   16   0.15766677972250698   0.42044474592668535      
22 22 Afghanistan 56 5   21   0.13138898310208916   0.5518337290287745      
23 23 Albania 48     2       0.6798017969880702      
24 24 Albania 49 0   2   0.0   0.6798017969880702      
25 25 Albania 50 8   10   2.719207187952281   3.3990089849403513      
26 26 Albania 51 0   10   0.0   3.3990089849403513      
27 27 Albania 52 13   23   4.418711680422456   7.817720665362807      
28 28 Albania 53 10   33 1 3.3990089849403513   11.216729650303158 0.3399008984940351    
29 29 Albania 54 5 0 38 1 1.6995044924701754 0.0 12.916234142773332 0.3399008984940351    
30 30 Albania 55 4 0 42 1 1.3596035939761404 0.0 14.275837736749473 0.3399008984940351    
31 31 Albania 56 9 0 51 1 3.059108086446316 0.0 17.33494582319579 0.3399008984940351    
32 32 Algeria 36     1       0.023076964792974816      
33 33 Algeria 37 0   1   0.0   0.023076964792974816      
34 34 Algeria 38 0   1   0.0   0.023076964792974816      
35 35 Algeria 39 0   1   0.0   0.023076964792974816      
36 36 Algeria 40 0   1   0.0   0.023076964792974816      
37 37 Algeria 41 0   1   0.0   0.023076964792974816      
38 38 Algeria 42 4   5   0.09230785917189926   0.11538482396487408      
39 39 Algeria 43 0   5   0.0   0.11538482396487408      
40 40 Algeria 44 7   12   0.16153875355082373   0.2769235775156978      
41 41 Algeria 45 0   12   0.0   0.2769235775156978      
42 42 Algeria 46 5   17   0.11538482396487408   0.3923084014805719      
43 43 Algeria 47 0   17   0.0   0.3923084014805719      
44 44 Algeria 48 3   20   0.06923089437892445   0.4615392958594963      
45 45 Algeria 49 0   20   0.0   0.4615392958594963      
46 46 Algeria 50 0   20   0.0   0.4615392958594963      
47 47 Algeria 51 5   25 1 0.11538482396487408   0.5769241198243704 0.023076964792974816    
48 48 Algeria 52 0 0 25 1 0.0 0.0 0.5769241198243704 0.023076964792974816    
49 49 Algeria 53 1 1 26 2 0.023076964792974816 0.023076964792974816 0.6000010846173452 0.04615392958594963    
50 50 Algeria 54 11 1 37 3 0.25384661272272296 0.023076964792974816 0.8538476973400683 0.06923089437892445    
51 51 Algeria 55 12 0 49 3 0.2769235775156978 0.0 1.130771274855766 0.06923089437892445    
52 52 Algeria 56 11 1 60 4 0.25384661272272296 0.023076964792974816 1.3846178875784891 0.09230785917189926    
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      
69 69 Antigua and Barbuda 54 0   1   0.0   9.513842641042716      
70 70 Antigua and Barbuda 55 0   1   0.0   9.513842641042716      
71 71 Antigua and Barbuda 56 0   1   0.0   9.513842641042716      
72 72 Argentina 43     1       0.021973000060931124      
73 73 Argentina 44 0   1   0.0   0.021973000060931124      
74 74 Argentina 45 0   1   0.0   0.021973000060931124      
75 75 Argentina 46 1   2   0.021973000060931124   0.04394600012186225      
76 76 Argentina 47 7   9 1 0.15381100042651788   0.19775700054838014 0.021973000060931124    
77 77 Argentina 48 3 0 12 1 0.06591900018279337 0.0 0.26367600073117353 0.021973000060931124    
78 78 Argentina 49 0 0 12 1 0.0 0.0 0.26367600073117353 0.021973000060931124    
79 79 Argentina 50 5 0 17 1 0.10986500030465562 0.0 0.3735410010358292 0.021973000060931124    
80 80 Argentina 51 2 0 19 1 0.04394600012186225 0.0 0.4174870011576914 0.021973000060931124    
81 81 Argentina 52 12 0 31 1 0.26367600073117353 0.0 0.6811630018888649 0.021973000060931124    
82 82 Argentina 53 3 1 34 2 0.06591900018279337 0.021973000060931124 0.7470820020716583 0.04394600012186225    
83 83 Argentina 54 11 0 45 2 0.2417030006702424 0.0 0.9887850027419006 0.04394600012186225    
84 84 Argentina 55 11 0 56 2 0.2417030006702424 0.0 1.230488003412143 0.04394600012186225    
85 85 Argentina 56 9 0 65 2 0.19775700054838014 0.0 1.4282450039605232 0.04394600012186225    
86 86 Armenia 41     1       0.3402889529615177      
87 87 Armenia 42 0   1   0.0   0.3402889529615177      
88 88 Armenia 43 0   1   0.0   0.3402889529615177      
89 89 Armenia 44 0   1   0.0   0.3402889529615177      
90 90 Armenia 45 0   1   0.0   0.3402889529615177      
91 91 Armenia 46 0   1   0.0   0.3402889529615177      
92 92 Armenia 47 0   1   0.0   0.3402889529615177      
93 93 Armenia 48 0   1   0.0   0.3402889529615177      
94 94 Armenia 49 0   1   0.0   0.3402889529615177      
95 95 Armenia 50 0   1   0.0   0.3402889529615177      
96 96 Armenia 51 0   1   0.0   0.3402889529615177      
97 97 Armenia 52 0   1   0.0   0.3402889529615177      
98 98 Armenia 53 7   8   2.382022670730624   2.7223116236921423      
99 99 Armenia 54 0   8   0.0   2.7223116236921423      
100 100 Armenia 55 18   26   6.1252011533073185   8.84751277699946      

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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
);