grapher
Data license: ODbL · Data source: our world in data github owid/covid-19-data repository
2,867 rows sorted by Total confirmed cases of COVID-19
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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 | ||||||
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 | ||||||
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 | ||||||||
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 | ||||||
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 | ||||||
194 | 194 | Bahamas | 56 | 1 | 2.4579747762628457 | ||||||||
226 | 226 | Belarus | 38 | 1 | 0.1062086270931198 | ||||||||
227 | 227 | Belarus | 39 | 0 | 1 | 0.0 | 0.1062086270931198 | ||||||
228 | 228 | Belarus | 40 | 0 | 1 | 0.0 | 0.1062086270931198 | ||||||
229 | 229 | Belarus | 41 | 0 | 1 | 0.0 | 0.1062086270931198 | ||||||
230 | 230 | Belarus | 42 | 0 | 1 | 0.0 | 0.1062086270931198 | ||||||
231 | 231 | Belarus | 43 | 0 | 1 | 0.0 | 0.1062086270931198 | ||||||
245 | 245 | Belgium | 15 | 1 | 0.08605872716388645 | -31 | |||||||
246 | 246 | Belgium | 16 | 0 | 1 | 0.0 | 0.08605872716388645 | -30 | |||||
247 | 247 | Belgium | 17 | 0 | 1 | 0.0 | 0.08605872716388645 | -29 | |||||
248 | 248 | Belgium | 18 | 0 | 1 | 0.0 | 0.08605872716388645 | -28 | |||||
249 | 249 | Belgium | 19 | 0 | 1 | 0.0 | 0.08605872716388645 | -27 | |||||
250 | 250 | Belgium | 20 | 0 | 1 | 0.0 | 0.08605872716388645 | -26 | |||||
251 | 251 | Belgium | 21 | 0 | 1 | 0.0 | 0.08605872716388645 | -25 | |||||
252 | 252 | Belgium | 22 | 0 | 1 | 0.0 | 0.08605872716388645 | -24 | |||||
253 | 253 | Belgium | 23 | 0 | 1 | 0.0 | 0.08605872716388645 | -23 | |||||
254 | 254 | Belgium | 24 | 0 | 1 | 0.0 | 0.08605872716388645 | -22 | |||||
255 | 255 | Belgium | 25 | 0 | 1 | 0.0 | 0.08605872716388645 | -21 | |||||
256 | 256 | Belgium | 26 | 0 | 1 | 0.0 | 0.08605872716388645 | -20 | |||||
257 | 257 | Belgium | 27 | 0 | 1 | 0.0 | 0.08605872716388645 | -19 | |||||
258 | 258 | Belgium | 28 | 0 | 1 | 0.0 | 0.08605872716388645 | -18 | |||||
259 | 259 | Belgium | 29 | 0 | 1 | 0.0 | 0.08605872716388645 | -17 | |||||
260 | 260 | Belgium | 30 | 0 | 1 | 0.0 | 0.08605872716388645 | -16 | |||||
261 | 261 | Belgium | 31 | 0 | 1 | 0.0 | 0.08605872716388645 | -15 | |||||
262 | 262 | Belgium | 32 | 0 | 1 | 0.0 | 0.08605872716388645 | -14 | |||||
263 | 263 | Belgium | 33 | 0 | 1 | 0.0 | 0.08605872716388645 | -13 | |||||
264 | 264 | Belgium | 34 | 0 | 1 | 0.0 | 0.08605872716388645 | -12 | |||||
265 | 265 | Belgium | 35 | 0 | 1 | 0.0 | 0.08605872716388645 | -11 | |||||
266 | 266 | Belgium | 36 | 0 | 1 | 0.0 | 0.08605872716388645 | -10 | |||||
267 | 267 | Belgium | 37 | 0 | 1 | 0.0 | 0.08605872716388645 | -9 | |||||
268 | 268 | Belgium | 38 | 0 | 1 | 0.0 | 0.08605872716388645 | -8 | |||||
269 | 269 | Belgium | 39 | 0 | 1 | 0.0 | 0.08605872716388645 | -7 | |||||
270 | 270 | Belgium | 40 | 0 | 1 | 0.0 | 0.08605872716388645 | -6 | |||||
271 | 271 | Belgium | 41 | 0 | 1 | 0.0 | 0.08605872716388645 | -5 | |||||
287 | 287 | Benin | 56 | 1 | 0.08248793510839121 | ||||||||
288 | 288 | Bhutan | 45 | 1 | 1.197253500469922 | ||||||||
289 | 289 | Bhutan | 46 | 0 | 1 | 0.0 | 1.197253500469922 | ||||||
290 | 290 | Bhutan | 47 | 0 | 1 | 0.0 | 1.197253500469922 | ||||||
291 | 291 | Bhutan | 48 | 0 | 1 | 0.0 | 1.197253500469922 | ||||||
292 | 292 | Bhutan | 49 | 0 | 1 | 0.0 | 1.197253500469922 | ||||||
293 | 293 | Bhutan | 50 | 0 | 1 | 0.0 | 1.197253500469922 | ||||||
294 | 294 | Bhutan | 51 | 0 | 1 | 0.0 | 1.197253500469922 | ||||||
295 | 295 | Bhutan | 52 | 0 | 1 | 0.0 | 1.197253500469922 | ||||||
296 | 296 | Bhutan | 53 | 0 | 1 | 0.0 | 1.197253500469922 | ||||||
297 | 297 | Bhutan | 54 | 0 | 1 | 0.0 | 1.197253500469922 | ||||||
298 | 298 | Bhutan | 55 | 0 | 1 | 0.0 | 1.197253500469922 | ||||||
299 | 299 | Bhutan | 56 | 0 | 1 | 0.0 | 1.197253500469922 | ||||||
320 | 320 | Brazil | 37 | 1 | 0.0046758896345280715 | -17 | |||||||
321 | 321 | Brazil | 38 | 0 | 1 | 0.0 | 0.0046758896345280715 | -16 | |||||
322 | 322 | Brazil | 39 | 0 | 1 | 0.0 | 0.0046758896345280715 | -15 | |||||
340 | 340 | Brunei | 49 | 1 | 2.249622625804521 | ||||||||
341 | 341 | Brunei | 50 | 0 | 1 | 0.0 | 2.249622625804521 |
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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 );