johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
37 rows where country_or_region = "India" and "day" is on date 2022-10-09 sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
province_or_state 37
- 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
- Tamil Nadu 1
- Telangana 1
- Tripura 1
- Unknown 1
- Uttar Pradesh 1
- Uttarakhand 1
- West Bengal 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3097363 | 3097363 | 2022-10-09 | India | Andaman and Nicobar Islands | 10718 | 129 | 0 | 11.225999 | 92.968178 | 2022-10-10 04:22:32 | Andaman and Nicobar Islands, India | |||
3097364 | 3097364 | 2022-10-09 | India | Andhra Pradesh | 2338531 | 14733 | 0 | 15.9129 | 79.74 | 2022-10-10 04:22:32 | Andhra Pradesh, India | |||
3097365 | 3097365 | 2022-10-09 | India | Arunachal Pradesh | 66861 | 296 | 0 | 27.768456 | 96.384277 | 2022-10-10 04:22:32 | Arunachal Pradesh, India | |||
3097366 | 3097366 | 2022-10-09 | India | Assam | 745754 | 8035 | 0 | 26.357149 | 92.830441 | 2022-10-10 04:22:32 | Assam, India | |||
3097367 | 3097367 | 2022-10-09 | India | Bihar | 850687 | 12302 | 0 | 25.679658 | 85.60484 | 2022-10-10 04:22:32 | Bihar, India | |||
3097368 | 3097368 | 2022-10-09 | India | Chandigarh | 99241 | 1181 | 0 | 30.733839 | 76.768278 | 2022-10-10 04:22:32 | Chandigarh, India | |||
3097369 | 3097369 | 2022-10-09 | India | Chhattisgarh | 1176690 | 14137 | 0 | 21.264705 | 82.035366 | 2022-10-10 04:22:32 | Chhattisgarh, India | |||
3097370 | 3097370 | 2022-10-09 | India | Dadra and Nagar Haveli and Daman and Diu | 11587 | 4 | 0 | 20.194742 | 73.080901 | 2022-10-10 04:22:32 | Dadra and Nagar Haveli and Daman and Diu, India | |||
3097371 | 3097371 | 2022-10-09 | India | Delhi | 2004120 | 26505 | 0 | 28.646519 | 77.10898 | 2022-10-10 04:22:32 | Delhi, India | |||
3097372 | 3097372 | 2022-10-09 | India | Goa | 258312 | 3966 | 0 | 15.359682 | 74.057396 | 2022-10-10 04:22:32 | Goa, India | |||
3097373 | 3097373 | 2022-10-09 | India | Gujarat | 1275498 | 11036 | 0 | 22.694884 | 71.590923 | 2022-10-10 04:22:32 | Gujarat, India | |||
3097374 | 3097374 | 2022-10-09 | India | Haryana | 1055275 | 10707 | 0 | 29.20004 | 76.332824 | 2022-10-10 04:22:32 | Haryana, India | |||
3097375 | 3097375 | 2022-10-09 | India | Himachal Pradesh | 312320 | 4210 | 0 | 31.927213 | 77.233081 | 2022-10-10 04:22:32 | Himachal Pradesh, India | |||
3097376 | 3097376 | 2022-10-09 | India | Jammu and Kashmir | 479215 | 4785 | 0 | 33.75943 | 76.612638 | 2022-10-10 04:22:32 | Jammu and Kashmir, India | |||
3097377 | 3097377 | 2022-10-09 | India | Jharkhand | 442414 | 5330 | 0 | 23.654536 | 85.557631 | 2022-10-10 04:22:32 | Jharkhand, India | |||
3097378 | 3097378 | 2022-10-09 | India | Karnataka | 4065691 | 40287 | 0 | 14.70518 | 76.166436 | 2022-10-10 04:22:32 | Karnataka, India | |||
3097379 | 3097379 | 2022-10-09 | India | Kerala | 6813224 | 71264 | 0 | 10.450898 | 76.405749 | 2022-10-10 04:22:32 | Kerala, India | |||
3097380 | 3097380 | 2022-10-09 | India | Ladakh | 29363 | 231 | 0 | 34.1526 | 77.5771 | 2022-10-10 04:22:32 | Ladakh, India | |||
3097381 | 3097381 | 2022-10-09 | India | Lakshadweep | 11415 | 52 | 0 | 13.6999972 | 72.1833326 | 2022-10-10 04:22:32 | Lakshadweep, India | |||
3097382 | 3097382 | 2022-10-09 | India | Madhya Pradesh | 1054446 | 10773 | 0 | 23.541513 | 78.289633 | 2022-10-10 04:22:32 | Madhya Pradesh, India | |||
3097383 | 3097383 | 2022-10-09 | India | Maharashtra | 8124754 | 148357 | 0 | 19.449759 | 76.108221 | 2022-10-10 04:22:32 | Maharashtra, India | |||
3097384 | 3097384 | 2022-10-09 | India | Manipur | 139825 | 2149 | 0 | 24.738975 | 93.882541 | 2022-10-10 04:22:32 | Manipur, India | |||
3097385 | 3097385 | 2022-10-09 | India | Meghalaya | 96722 | 1622 | 0 | 25.536934 | 91.278882 | 2022-10-10 04:22:32 | Meghalaya, India | |||
3097386 | 3097386 | 2022-10-09 | India | Mizoram | 238578 | 723 | 0 | 23.309381 | 92.83822 | 2022-10-10 04:22:32 | Mizoram, India | |||
3097387 | 3097387 | 2022-10-09 | India | Nagaland | 35962 | 781 | 0 | 26.06702 | 94.470302 | 2022-10-10 04:22:32 | Nagaland, India | |||
3097388 | 3097388 | 2022-10-09 | India | Odisha | 1334876 | 9199 | 0 | 20.505428 | 84.418059 | 2022-10-10 04:22:32 | Odisha, India | |||
3097389 | 3097389 | 2022-10-09 | India | Puducherry | 174854 | 1974 | 0 | 11.882658 | 78.86498 | 2022-10-10 04:22:32 | Puducherry, India | |||
3097390 | 3097390 | 2022-10-09 | India | Punjab | 784781 | 17917 | 0 | 30.841465 | 75.40879 | 2022-10-10 04:22:32 | Punjab, India | |||
3097391 | 3097391 | 2022-10-09 | India | Rajasthan | 1313502 | 9644 | 0 | 26.583423 | 73.847973 | 2022-10-10 04:22:32 | Rajasthan, India | |||
3097392 | 3097392 | 2022-10-09 | India | Sikkim | 44212 | 498 | 0 | 27.571671 | 88.472712 | 2022-10-10 04:22:32 | Sikkim, India | |||
3097393 | 3097393 | 2022-10-09 | India | Tamil Nadu | 3586926 | 38048 | 0 | 11.006091 | 78.400624 | 2022-10-10 04:22:32 | Tamil Nadu, India | |||
3097394 | 3097394 | 2022-10-09 | India | Telangana | 838524 | 4111 | 0 | 18.1124 | 79.0193 | 2022-10-10 04:22:32 | Telangana, India | |||
3097395 | 3097395 | 2022-10-09 | India | Tripura | 107815 | 939 | 0 | 23.746783 | 91.743565 | 2022-10-10 04:22:32 | Tripura, India | |||
3097396 | 3097396 | 2022-10-09 | India | Unknown | 0 | 0 | 0 | 2022-10-10 04:22:32 | Unknown, India | |||||
3097397 | 3097397 | 2022-10-09 | India | Uttar Pradesh | 2126614 | 23623 | 0 | 26.925425 | 80.560982 | 2022-10-10 04:22:32 | Uttar Pradesh, India | |||
3097398 | 3097398 | 2022-10-09 | India | Uttarakhand | 449271 | 7751 | 0 | 30.156447 | 79.197608 | 2022-10-10 04:22:32 | Uttarakhand, India | |||
3097399 | 3097399 | 2022-10-09 | India | West Bengal | 2115859 | 21515 | 0 | 23.814082 | 87.979803 | 2022-10-10 04:22:32 | 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]);