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 = "2020-09-04 04:28:26" 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1354252 | 1354252 | 2020-09-03 | India | Andaman and Nicobar Islands | 3223 | 48 | 2823 | 352 | 11.225999 | 92.968178 | 2020-09-04 04:28:26 | Andaman and Nicobar Islands, India | ||
1354253 | 1354253 | 2020-09-03 | India | Andhra Pradesh | 465730 | 4200 | 358009 | 103521 | 15.9129 | 79.74 | 2020-09-04 04:28:26 | Andhra Pradesh, India | ||
1354254 | 1354254 | 2020-09-03 | India | Arunachal Pradesh | 4574 | 7 | 3167 | 1400 | 27.768456 | 96.384277 | 2020-09-04 04:28:26 | Arunachal Pradesh, India | ||
1354255 | 1354255 | 2020-09-03 | India | Assam | 118333 | 330 | 90700 | 27303 | 26.357149 | 92.830441 | 2020-09-04 04:28:26 | Assam, India | ||
1354256 | 1354256 | 2020-09-03 | India | Bihar | 142967 | 672 | 124976 | 17319 | 25.679658 | 85.60484 | 2020-09-04 04:28:26 | Bihar, India | ||
1354257 | 1354257 | 2020-09-03 | India | Chandigarh | 5065 | 63 | 2883 | 2119 | 30.733839 | 76.76827800000002 | 2020-09-04 04:28:26 | Chandigarh, India | ||
1354258 | 1354258 | 2020-09-03 | India | Chhattisgarh | 37967 | 315 | 18950 | 18702 | 21.264705 | 82.035366 | 2020-09-04 04:28:26 | Chhattisgarh, India | ||
1354259 | 1354259 | 2020-09-03 | India | Dadra and Nagar Haveli and Daman and Diu | 2450 | 2 | 2154 | 294 | 20.194742 | 73.080901 | 2020-09-04 04:28:26 | Dadra and Nagar Haveli and Daman and Diu, India | ||
1354260 | 1354260 | 2020-09-03 | India | Delhi | 182306 | 4500 | 160114 | 17692 | 28.646519 | 77.10898 | 2020-09-04 04:28:26 | Delhi, India | ||
1354261 | 1354261 | 2020-09-03 | India | Goa | 19355 | 212 | 14361 | 4782 | 15.359682 | 74.057396 | 2020-09-04 04:28:26 | Goa, India | ||
1354262 | 1354262 | 2020-09-03 | India | Gujarat | 100213 | 3062 | 81055 | 16096 | 22.694884 | 71.590923 | 2020-09-04 04:28:26 | Gujarat, India | ||
1354263 | 1354263 | 2020-09-03 | India | Haryana | 70099 | 740 | 55889 | 13470 | 29.20004 | 76.332824 | 2020-09-04 04:28:26 | Haryana, India | ||
1354264 | 1354264 | 2020-09-03 | India | Himachal Pradesh | 6615 | 48 | 4859 | 1708 | 31.927213 | 77.233081 | 2020-09-04 04:28:26 | Himachal Pradesh, India | ||
1354265 | 1354265 | 2020-09-03 | India | Jammu and Kashmir | 39943 | 743 | 30759 | 8441 | 33.75943 | 76.612638 | 2020-09-04 04:28:26 | Jammu and Kashmir, India | ||
1354266 | 1354266 | 2020-09-03 | India | Jharkhand | 46480 | 444 | 30886 | 15150 | 23.654536 | 85.557631 | 2020-09-04 04:28:26 | Jharkhand, India | ||
1354267 | 1354267 | 2020-09-03 | India | Karnataka | 370206 | 6054 | 268035 | 96117 | 14.70518 | 76.166436 | 2020-09-04 04:28:26 | Karnataka, India | ||
1354268 | 1354268 | 2020-09-03 | India | Kerala | 79625 | 315 | 57728 | 21582 | 10.450898 | 76.405749 | 2020-09-04 04:28:26 | Kerala, India | ||
1354269 | 1354269 | 2020-09-03 | India | Ladakh | 2840 | 35 | 2039 | 766 | 34.1526 | 77.5771 | 2020-09-04 04:28:26 | Ladakh, India | ||
1354270 | 1354270 | 2020-09-03 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-09-04 04:28:26 | Lakshadweep, India | ||
1354271 | 1354271 | 2020-09-03 | India | Madhya Pradesh | 68586 | 1483 | 52215 | 14888 | 23.541513 | 78.289633 | 2020-09-04 04:28:26 | Madhya Pradesh, India | ||
1354272 | 1354272 | 2020-09-03 | India | Maharashtra | 843844 | 25586 | 612484 | 205774 | 19.449759 | 76.108221 | 2020-09-04 04:28:26 | Maharashtra, India | ||
1354273 | 1354273 | 2020-09-03 | India | Manipur | 6609 | 32 | 4774 | 1803 | 24.738975 | 93.882541 | 2020-09-04 04:28:26 | Manipur, India | ||
1354274 | 1354274 | 2020-09-03 | India | Meghalaya | 2626 | 13 | 1393 | 1220 | 25.536934 | 91.278882 | 2020-09-04 04:28:26 | Meghalaya, India | ||
1354275 | 1354275 | 2020-09-03 | India | Mizoram | 1040 | 0 | 671 | 369 | 23.309381 | 92.83822 | 2020-09-04 04:28:26 | Mizoram, India | ||
1354276 | 1354276 | 2020-09-03 | India | Nagaland | 4066 | 9 | 3324 | 733 | 26.06702 | 94.470302 | 2020-09-04 04:28:26 | Nagaland, India | ||
1354277 | 1354277 | 2020-09-03 | India | Odisha | 113411 | 522 | 87351 | 25538 | 20.505428 | 84.418059 | 2020-09-04 04:28:26 | Odisha, India | ||
1354278 | 1354278 | 2020-09-03 | India | Puducherry | 15581 | 260 | 10279 | 5042 | 11.882658 | 78.86498 | 2020-09-04 04:28:26 | Puducherry, India | ||
1354279 | 1354279 | 2020-09-03 | India | Punjab | 58515 | 1690 | 41271 | 15554 | 30.841465000000003 | 75.40879 | 2020-09-04 04:28:26 | Punjab, India | ||
1354280 | 1354280 | 2020-09-03 | India | Rajasthan | 86227 | 1095 | 71220 | 13912 | 26.583423 | 73.847973 | 2020-09-04 04:28:26 | Rajasthan, India | ||
1354281 | 1354281 | 2020-09-03 | India | Sikkim | 1738 | 4 | 1304 | 430 | 27.571671 | 88.472712 | 2020-09-04 04:28:26 | Sikkim, India | ||
1354282 | 1354282 | 2020-09-03 | India | Tamil Nadu | 445851 | 7608 | 386173 | 52070 | 11.006091 | 78.400624 | 2020-09-04 04:28:26 | Tamil Nadu, India | ||
1354283 | 1354283 | 2020-09-03 | India | Telangana | 135884 | 866 | 102024 | 32994 | 18.1124 | 79.0193 | 2020-09-04 04:28:26 | Telangana, India | ||
1354284 | 1354284 | 2020-09-03 | India | Tripura | 13816 | 129 | 8212 | 5475 | 23.746783 | 91.743565 | 2020-09-04 04:28:26 | Tripura, India | ||
1354285 | 1354285 | 2020-09-03 | India | Unknown | 0 | 0 | 0 | 0 | 2020-09-04 04:28:26 | Unknown, India | ||||
1354286 | 1354286 | 2020-09-03 | India | Uttar Pradesh | 247101 | 3691 | 185812 | 57598 | 26.925425 | 80.560982 | 2020-09-04 04:28:26 | Uttar Pradesh, India | ||
1354287 | 1354287 | 2020-09-03 | India | Uttarakhand | 22180 | 300 | 15009 | 6871 | 30.156447 | 79.197608 | 2020-09-04 04:28:26 | Uttarakhand, India | ||
1354288 | 1354288 | 2020-09-03 | India | West Bengal | 171681 | 3394 | 144248 | 24039 | 23.814082 | 87.979803 | 2020-09-04 04:28:26 | 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]);