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" is on date 2020-10-20 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1794566 | 1794566 | 2020-10-19 | India | Andaman and Nicobar Islands | 4126 | 56 | 3892 | 178 | 11.225999 | 92.968178 | 2020-10-20 04:24:22 | Andaman and Nicobar Islands, India | ||
1794567 | 1794567 | 2020-10-19 | India | Andhra Pradesh | 786050 | 6453 | 744532 | 35065 | 15.9129 | 79.74 | 2020-10-20 04:24:22 | Andhra Pradesh, India | ||
1794568 | 1794568 | 2020-10-19 | India | Arunachal Pradesh | 13643 | 30 | 10780 | 2833 | 27.768456 | 96.384277 | 2020-10-20 04:24:22 | Arunachal Pradesh, India | ||
1794569 | 1794569 | 2020-10-19 | India | Assam | 201407 | 875 | 173213 | 27319 | 26.357149 | 92.830441 | 2020-10-20 04:24:22 | Assam, India | ||
1794570 | 1794570 | 2020-10-19 | India | Bihar | 205945 | 1003 | 194005 | 10937 | 25.679658 | 85.60484 | 2020-10-20 04:24:22 | Bihar, India | ||
1794571 | 1794571 | 2020-10-19 | India | Chandigarh | 13686 | 208 | 12617 | 861 | 30.733839 | 76.76827800000002 | 2020-10-20 04:24:22 | Chandigarh, India | ||
1794572 | 1794572 | 2020-10-19 | India | Chhattisgarh | 162772 | 1534 | 135259 | 25979 | 21.264705 | 82.035366 | 2020-10-20 04:24:22 | Chhattisgarh, India | ||
1794573 | 1794573 | 2020-10-19 | India | Dadra and Nagar Haveli and Daman and Diu | 3185 | 2 | 3140 | 43 | 20.194742 | 73.080901 | 2020-10-20 04:24:22 | Dadra and Nagar Haveli and Daman and Diu, India | ||
1794574 | 1794574 | 2020-10-19 | India | Delhi | 333171 | 6040 | 304561 | 22570 | 28.646519 | 77.10898 | 2020-10-20 04:24:22 | Delhi, India | ||
1794575 | 1794575 | 2020-10-19 | India | Goa | 40746 | 549 | 36914 | 3283 | 15.359682 | 74.057396 | 2020-10-20 04:24:22 | Goa, India | ||
1794576 | 1794576 | 2020-10-19 | India | Gujarat | 160560 | 3643 | 142662 | 14255 | 22.694884 | 71.590923 | 2020-10-20 04:24:22 | Gujarat, India | ||
1794577 | 1794577 | 2020-10-19 | India | Haryana | 151234 | 1648 | 139511 | 10075 | 29.20004 | 76.332824 | 2020-10-20 04:24:22 | Haryana, India | ||
1794578 | 1794578 | 2020-10-19 | India | Himachal Pradesh | 19135 | 272 | 16270 | 2593 | 31.927213 | 77.233081 | 2020-10-20 04:24:22 | Himachal Pradesh, India | ||
1794579 | 1794579 | 2020-10-19 | India | Jammu and Kashmir | 88369 | 1388 | 78667 | 8314 | 33.75943 | 76.612638 | 2020-10-20 04:24:22 | Jammu and Kashmir, India | ||
1794580 | 1794580 | 2020-10-19 | India | Jharkhand | 96842 | 842 | 89780 | 6220 | 23.654536 | 85.557631 | 2020-10-20 04:24:22 | Jharkhand, India | ||
1794581 | 1794581 | 2020-10-19 | India | Karnataka | 770604 | 10542 | 653829 | 106233 | 14.70518 | 76.166436 | 2020-10-20 04:24:22 | Karnataka, India | ||
1794582 | 1794582 | 2020-10-19 | India | Kerala | 346881 | 1182 | 252868 | 92831 | 10.450898 | 76.405749 | 2020-10-20 04:24:22 | Kerala, India | ||
1794583 | 1794583 | 2020-10-19 | India | Ladakh | 5647 | 66 | 4701 | 880 | 34.1526 | 77.5771 | 2020-10-20 04:24:22 | Ladakh, India | ||
1794584 | 1794584 | 2020-10-19 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-10-20 04:24:22 | Lakshadweep, India | ||
1794585 | 1794585 | 2020-10-19 | India | Madhya Pradesh | 161203 | 2786 | 145421 | 12996 | 23.541513 | 78.289633 | 2020-10-20 04:24:22 | Madhya Pradesh, India | ||
1794586 | 1794586 | 2020-10-19 | India | Maharashtra | 1601365 | 42240 | 1384879 | 174246 | 19.449759 | 76.108221 | 2020-10-20 04:24:22 | Maharashtra, India | ||
1794587 | 1794587 | 2020-10-19 | India | Manipur | 15778 | 117 | 11913 | 3748 | 24.738975 | 93.882541 | 2020-10-20 04:24:22 | Manipur, India | ||
1794588 | 1794588 | 2020-10-19 | India | Meghalaya | 8536 | 75 | 6392 | 2069 | 25.536934 | 91.278882 | 2020-10-20 04:24:22 | Meghalaya, India | ||
1794589 | 1794589 | 2020-10-19 | India | Mizoram | 2280 | 0 | 2151 | 129 | 23.309381 | 92.83822 | 2020-10-20 04:24:22 | Mizoram, India | ||
1794590 | 1794590 | 2020-10-19 | India | Nagaland | 7953 | 27 | 6273 | 1653 | 26.06702 | 94.470302 | 2020-10-20 04:24:22 | Nagaland, India | ||
1794591 | 1794591 | 2020-10-19 | India | Odisha | 270346 | 1152 | 249575 | 19619 | 20.505428 | 84.418059 | 2020-10-20 04:24:22 | Odisha, India | ||
1794592 | 1794592 | 2020-10-19 | India | Puducherry | 33247 | 575 | 28520 | 4152 | 11.882658 | 78.86498 | 2020-10-20 04:24:22 | Puducherry, India | ||
1794593 | 1794593 | 2020-10-19 | India | Punjab | 128103 | 4029 | 118767 | 5307 | 30.841465000000003 | 75.40879 | 2020-10-20 04:24:22 | Punjab, India | ||
1794594 | 1794594 | 2020-10-19 | India | Rajasthan | 175226 | 1760 | 152573 | 20893 | 26.583423 | 73.847973 | 2020-10-20 04:24:22 | Rajasthan, India | ||
1794595 | 1794595 | 2020-10-19 | India | Sikkim | 3601 | 62 | 3276 | 263 | 27.571671 | 88.472712 | 2020-10-20 04:24:22 | Sikkim, India | ||
1794596 | 1794596 | 2020-10-19 | India | Tamil Nadu | 690936 | 10691 | 642152 | 38093 | 11.006091 | 78.400624 | 2020-10-20 04:24:22 | Tamil Nadu, India | ||
1794597 | 1794597 | 2020-10-19 | India | Telangana | 224545 | 1282 | 202577 | 20686 | 18.1124 | 79.0193 | 2020-10-20 04:24:22 | Telangana, India | ||
1794598 | 1794598 | 2020-10-19 | India | Tripura | 29688 | 331 | 26748 | 2609 | 23.746783 | 91.743565 | 2020-10-20 04:24:22 | Tripura, India | ||
1794599 | 1794599 | 2020-10-19 | India | Unknown | 0 | 0 | 0 | 0 | 2020-10-20 04:24:22 | Unknown, India | ||||
1794600 | 1794600 | 2020-10-19 | India | Uttar Pradesh | 456865 | 6685 | 418685 | 31495 | 26.925425 | 80.560982 | 2020-10-20 04:24:22 | Uttar Pradesh, India | ||
1794601 | 1794601 | 2020-10-19 | India | Uttarakhand | 58360 | 933 | 51900 | 5527 | 30.156447 | 79.197608 | 2020-10-20 04:24:22 | Uttarakhand, India | ||
1794602 | 1794602 | 2020-10-19 | India | West Bengal | 325028 | 6119 | 284325 | 34584 | 23.814082 | 87.979803 | 2020-10-20 04:24:22 | West Bengal, India |
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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]);