johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
37 rows where country_or_region = "India" and last_update = "2020-08-04 04:41:59" sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
province_or_state >30
- Andaman and Nicobar Islands 1
- Andhra Pradesh 1
- Arunachal Pradesh 1
- Assam 1
- Bihar 1
- Chandigarh 1
- Chhattisgarh 1
- Dadra and Nagar Haveli and Daman and Diu 1
- Delhi 1
- Goa 1
- Gujarat 1
- Haryana 1
- Himachal Pradesh 1
- Jammu and Kashmir 1
- Jharkhand 1
- Karnataka 1
- Kerala 1
- Ladakh 1
- Lakshadweep 1
- Madhya Pradesh 1
- Maharashtra 1
- Manipur 1
- Meghalaya 1
- Mizoram 1
- Nagaland 1
- Odisha 1
- Puducherry 1
- Punjab 1
- Rajasthan 1
- Sikkim 1
- …
country_or_region 1
- India · 37 ✖
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2739971 | 2739971 | 2020-08-03 | India | Andaman and Nicobar Islands | 830 | 10 | 263 | 557 | 11.225999 | 92.968178 | 2020-08-04 04:41:59 | Andaman and Nicobar Islands, India | ||
2739972 | 2739972 | 2020-08-03 | India | Andhra Pradesh | 166586 | 1537 | 88672 | 76377 | 15.9129 | 79.74 | 2020-08-04 04:41:59 | Andhra Pradesh, India | ||
2739986 | 2739986 | 2020-08-03 | India | Arunachal Pradesh | 1758 | 3 | 1063 | 692 | 27.768456 | 96.384277 | 2020-08-04 04:41:59 | Arunachal Pradesh, India | ||
2739987 | 2739987 | 2020-08-03 | India | Assam | 45275 | 109 | 33428 | 11738 | 26.357149 | 92.830441 | 2020-08-04 04:41:59 | Assam, India | ||
2740009 | 2740009 | 2020-08-03 | India | Bihar | 59328 | 330 | 38228 | 20770 | 25.679658 | 85.60484 | 2020-08-04 04:41:59 | Bihar, India | ||
2740041 | 2740041 | 2020-08-03 | India | Chandigarh | 1159 | 19 | 706 | 434 | 30.733839 | 76.76827800000002 | 2020-08-04 04:41:59 | Chandigarh, India | ||
2740048 | 2740048 | 2020-08-03 | India | Chhattisgarh | 9779 | 61 | 7256 | 2462 | 21.264705 | 82.035366 | 2020-08-04 04:41:59 | Chhattisgarh, India | ||
2740065 | 2740065 | 2020-08-03 | India | Dadra and Nagar Haveli and Daman and Diu | 1274 | 2 | 860 | 412 | 20.194742 | 73.080901 | 2020-08-04 04:41:59 | Dadra and Nagar Haveli and Daman and Diu, India | ||
2740068 | 2740068 | 2020-08-03 | India | Delhi | 138482 | 4021 | 124254 | 10207 | 28.646519 | 77.10898 | 2020-08-04 04:41:59 | Delhi, India | ||
2740099 | 2740099 | 2020-08-03 | India | Goa | 6816 | 56 | 4876 | 1884 | 15.359682 | 74.057396 | 2020-08-04 04:41:59 | Goa, India | ||
2740114 | 2740114 | 2020-08-03 | India | Gujarat | 64585 | 2508 | 47478 | 14599 | 22.694884 | 71.590923 | 2020-08-04 04:41:59 | Gujarat, India | ||
2740119 | 2740119 | 2020-08-03 | India | Haryana | 37173 | 440 | 30470 | 6263 | 29.20004 | 76.332824 | 2020-08-04 04:41:59 | Haryana, India | ||
2740125 | 2740125 | 2020-08-03 | India | Himachal Pradesh | 2818 | 14 | 1658 | 1146 | 31.927213 | 77.233081 | 2020-08-04 04:41:59 | Himachal Pradesh, India | ||
2740147 | 2740147 | 2020-08-03 | India | Jammu and Kashmir | 22006 | 407 | 14032 | 7567 | 33.75943 | 76.612638 | 2020-08-04 04:41:59 | Jammu and Kashmir, India | ||
2740150 | 2740150 | 2020-08-03 | India | Jharkhand | 13478 | 125 | 4792 | 8561 | 23.654536 | 85.557631 | 2020-08-04 04:41:59 | Jharkhand, India | ||
2740167 | 2740167 | 2020-08-03 | India | Karnataka | 139571 | 2594 | 62500 | 74477 | 14.70518 | 76.166436 | 2020-08-04 04:41:59 | Karnataka, India | ||
2740169 | 2740169 | 2020-08-03 | India | Kerala | 26873 | 84 | 15278 | 11511 | 10.450898 | 76.405749 | 2020-08-04 04:41:59 | Kerala, India | ||
2740194 | 2740194 | 2020-08-03 | India | Ladakh | 1485 | 7 | 1109 | 369 | 34.1526 | 77.5771 | 2020-08-04 04:41:59 | Ladakh, India | ||
2740195 | 2740195 | 2020-08-03 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-08-04 04:41:59 | Lakshadweep, India | ||
2740211 | 2740211 | 2020-08-03 | India | Madhya Pradesh | 34285 | 900 | 24099 | 9286 | 23.541513 | 78.289633 | 2020-08-04 04:41:59 | Madhya Pradesh, India | ||
2740217 | 2740217 | 2020-08-03 | India | Maharashtra | 450196 | 15842 | 287030 | 147324 | 19.449759 | 76.108221 | 2020-08-04 04:41:59 | Maharashtra, India | ||
2740218 | 2740218 | 2020-08-03 | India | Manipur | 2920 | 7 | 1766 | 1147 | 24.738975 | 93.882541 | 2020-08-04 04:41:59 | Manipur, India | ||
2740229 | 2740229 | 2020-08-03 | India | Meghalaya | 902 | 5 | 264 | 633 | 25.536934 | 91.278882 | 2020-08-04 04:41:59 | Meghalaya, India | ||
2740239 | 2740239 | 2020-08-03 | India | Mizoram | 501 | 0 | 266 | 235 | 23.309381 | 92.83822 | 2020-08-04 04:41:59 | Mizoram, India | ||
2740250 | 2740250 | 2020-08-03 | India | Nagaland | 2129 | 5 | 657 | 1467 | 26.06702 | 94.470302 | 2020-08-04 04:41:59 | Nagaland, India | ||
2740285 | 2740285 | 2020-08-03 | India | Odisha | 36297 | 207 | 23074 | 13016 | 20.505428 | 84.418059 | 2020-08-04 04:41:59 | Odisha, India | ||
2740315 | 2740315 | 2020-08-03 | India | Puducherry | 3982 | 56 | 2411 | 1515 | 11.882658 | 78.86498 | 2020-08-04 04:41:59 | Puducherry, India | ||
2740318 | 2740318 | 2020-08-03 | India | Punjab | 18527 | 442 | 11882 | 6203 | 30.841465000000003 | 75.40879 | 2020-08-04 04:41:59 | Punjab, India | ||
2740328 | 2740328 | 2020-08-03 | India | Rajasthan | 44975 | 715 | 31458 | 12802 | 26.583423 | 73.847973 | 2020-08-04 04:41:59 | Rajasthan, India | ||
2740375 | 2740375 | 2020-08-03 | India | Sikkim | 688 | 1 | 297 | 390 | 27.571671 | 88.472712 | 2020-08-04 04:41:59 | Sikkim, India | ||
2740394 | 2740394 | 2020-08-03 | India | Tamil Nadu | 263222 | 4241 | 202283 | 56698 | 11.006091 | 78.400624 | 2020-08-04 04:41:59 | Tamil Nadu, India | ||
2740398 | 2740398 | 2020-08-03 | India | Telangana | 68946 | 563 | 49675 | 18708 | 18.1124 | 79.0193 | 2020-08-04 04:41:59 | Telangana, India | ||
2740413 | 2740413 | 2020-08-03 | India | Tripura | 5505 | 28 | 3675 | 1802 | 23.746783 | 91.743565 | 2020-08-04 04:41:59 | Tripura, India | ||
2740426 | 2740426 | 2020-08-03 | India | Unknown | 0 | 0 | 0 | 0 | 2020-08-04 04:41:59 | Unknown, India | ||||
2740434 | 2740434 | 2020-08-03 | India | Uttar Pradesh | 97362 | 1778 | 55393 | 40191 | 26.925425 | 80.560982 | 2020-08-04 04:41:59 | Uttar Pradesh, India | ||
2740435 | 2740435 | 2020-08-03 | India | Uttarakhand | 7800 | 90 | 4538 | 3172 | 30.156447 | 79.197608 | 2020-08-04 04:41:59 | Uttarakhand, India | ||
2740458 | 2740458 | 2020-08-03 | India | West Bengal | 78232 | 1731 | 54818 | 21683 | 23.814082 | 87.979803 | 2020-08-04 04:41:59 | West Bengal, India |
Advanced export
JSON shape: default, array, newline-delimited
CREATE TABLE [johns_hopkins_csse_daily_reports] ( [day] TEXT, [country_or_region] TEXT, [province_or_state] TEXT, [admin2] TEXT, [fips] TEXT, [confirmed] INTEGER, [deaths] INTEGER, [recovered] INTEGER, [active] TEXT, [latitude] TEXT, [longitude] TEXT, [last_update] TEXT, [combined_key] TEXT ); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_day] ON [johns_hopkins_csse_daily_reports] ([day]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_province_or_state] ON [johns_hopkins_csse_daily_reports] ([province_or_state]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_country_or_region] ON [johns_hopkins_csse_daily_reports] ([country_or_region]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_combined_key] ON [johns_hopkins_csse_daily_reports] ([combined_key]);