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 2020-09-28 sorted by day descending
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Suggested facets: last_update (date)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1515330 | 1515330 | 2020-09-28 | India | Andaman and Nicobar Islands | 3803 | 53 | 3582 | 168 | 11.225999 | 92.968178 | 2020-09-29 04:23:42 | Andaman and Nicobar Islands, India | ||
1515331 | 1515331 | 2020-09-28 | India | Andhra Pradesh | 681161 | 5745 | 612300 | 63116 | 15.9129 | 79.74 | 2020-09-29 04:23:42 | Andhra Pradesh, India | ||
1515332 | 1515332 | 2020-09-28 | India | Arunachal Pradesh | 9332 | 15 | 6592 | 2725 | 27.768456 | 96.384277 | 2020-09-29 04:23:42 | Arunachal Pradesh, India | ||
1515333 | 1515333 | 2020-09-28 | India | Assam | 173629 | 667 | 142300 | 30662 | 26.357149 | 92.830441 | 2020-09-29 04:23:42 | Assam, India | ||
1515334 | 1515334 | 2020-09-28 | India | Bihar | 179832 | 892 | 166276 | 12664 | 25.679658 | 85.60484 | 2020-09-29 04:23:42 | Bihar, India | ||
1515335 | 1515335 | 2020-09-28 | India | Chandigarh | 11678 | 153 | 9325 | 2200 | 30.733839 | 76.76827800000002 | 2020-09-29 04:23:42 | Chandigarh, India | ||
1515336 | 1515336 | 2020-09-28 | India | Chhattisgarh | 108458 | 877 | 74537 | 33044 | 21.264705 | 82.035366 | 2020-09-29 04:23:42 | Chhattisgarh, India | ||
1515337 | 1515337 | 2020-09-28 | India | Dadra and Nagar Haveli and Daman and Diu | 3012 | 2 | 2877 | 133 | 20.194742 | 73.080901 | 2020-09-29 04:23:42 | Dadra and Nagar Haveli and Daman and Diu, India | ||
1515338 | 1515338 | 2020-09-28 | India | Delhi | 273098 | 5272 | 240703 | 27123 | 28.646519 | 77.10898 | 2020-09-29 04:23:42 | Delhi, India | ||
1515339 | 1515339 | 2020-09-28 | India | Goa | 32396 | 407 | 27072 | 4917 | 15.359682 | 74.057396 | 2020-09-29 04:23:42 | Goa, India | ||
1515340 | 1515340 | 2020-09-28 | India | Gujarat | 134461 | 3428 | 114344 | 16689 | 22.694884 | 71.590923 | 2020-09-29 04:23:42 | Gujarat, India | ||
1515341 | 1515341 | 2020-09-28 | India | Haryana | 125412 | 1331 | 108411 | 15670 | 29.20004 | 76.332824 | 2020-09-29 04:23:42 | Haryana, India | ||
1515342 | 1515342 | 2020-09-28 | India | Himachal Pradesh | 14457 | 180 | 10627 | 3650 | 31.927213 | 77.233081 | 2020-09-29 04:23:42 | Himachal Pradesh, India | ||
1515343 | 1515343 | 2020-09-28 | India | Jammu and Kashmir | 73014 | 1146 | 54267 | 17601 | 33.75943 | 76.612638 | 2020-09-29 04:23:42 | Jammu and Kashmir, India | ||
1515344 | 1515344 | 2020-09-28 | India | Jharkhand | 81417 | 688 | 68603 | 12126 | 23.654536 | 85.557631 | 2020-09-29 04:23:42 | Jharkhand, India | ||
1515345 | 1515345 | 2020-09-28 | India | Karnataka | 582458 | 8641 | 469750 | 104067 | 14.70518 | 76.166436 | 2020-09-29 04:23:42 | Karnataka, India | ||
1515346 | 1515346 | 2020-09-28 | India | Kerala | 179922 | 697 | 121268 | 57957 | 10.450898 | 76.405749 | 2020-09-29 04:23:42 | Kerala, India | ||
1515347 | 1515347 | 2020-09-28 | India | Ladakh | 4152 | 58 | 3064 | 1030 | 34.1526 | 77.5771 | 2020-09-29 04:23:42 | Ladakh, India | ||
1515348 | 1515348 | 2020-09-28 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-09-29 04:23:42 | Lakshadweep, India | ||
1515349 | 1515349 | 2020-09-28 | India | Madhya Pradesh | 124166 | 2242 | 100012 | 21912 | 23.541513 | 78.289633 | 2020-09-29 04:23:42 | Madhya Pradesh, India | ||
1515350 | 1515350 | 2020-09-28 | India | Maharashtra | 1351153 | 35751 | 1049947 | 265455 | 19.449759 | 76.108221 | 2020-09-29 04:23:42 | Maharashtra, India | ||
1515351 | 1515351 | 2020-09-28 | India | Manipur | 10477 | 64 | 7982 | 2431 | 24.738975 | 93.882541 | 2020-09-29 04:23:42 | Manipur, India | ||
1515352 | 1515352 | 2020-09-28 | India | Meghalaya | 5362 | 46 | 3868 | 1448 | 25.536934 | 91.278882 | 2020-09-29 04:23:42 | Meghalaya, India | ||
1515353 | 1515353 | 2020-09-28 | India | Mizoram | 1958 | 0 | 1459 | 499 | 23.309381 | 92.83822 | 2020-09-29 04:23:42 | Mizoram, India | ||
1515354 | 1515354 | 2020-09-28 | India | Nagaland | 5957 | 17 | 4938 | 1002 | 26.06702 | 94.470302 | 2020-09-29 04:23:42 | Nagaland, India | ||
1515355 | 1515355 | 2020-09-28 | India | Odisha | 212609 | 813 | 177585 | 34211 | 20.505428 | 84.418059 | 2020-09-29 04:23:42 | Odisha, India | ||
1515356 | 1515356 | 2020-09-28 | India | Puducherry | 26685 | 515 | 21156 | 5014 | 11.882658 | 78.86498 | 2020-09-29 04:23:42 | Puducherry, India | ||
1515357 | 1515357 | 2020-09-28 | India | Punjab | 111375 | 3284 | 90345 | 17746 | 30.841465000000003 | 75.40879 | 2020-09-29 04:23:42 | Punjab, India | ||
1515358 | 1515358 | 2020-09-28 | India | Rajasthan | 130971 | 1456 | 109472 | 20043 | 26.583423 | 73.847973 | 2020-09-29 04:23:42 | Rajasthan, India | ||
1515359 | 1515359 | 2020-09-28 | India | Sikkim | 2896 | 34 | 2164 | 698 | 27.571671 | 88.472712 | 2020-09-29 04:23:42 | Sikkim, India | ||
1515360 | 1515360 | 2020-09-28 | India | Tamil Nadu | 586397 | 9383 | 530708 | 46306 | 11.006091 | 78.400624 | 2020-09-29 04:23:42 | Tamil Nadu, India | ||
1515361 | 1515361 | 2020-09-28 | India | Telangana | 189283 | 1116 | 158690 | 29477 | 18.1124 | 79.0193 | 2020-09-29 04:23:42 | Telangana, India | ||
1515362 | 1515362 | 2020-09-28 | India | Tripura | 25353 | 276 | 19203 | 5874 | 23.746783 | 91.743565 | 2020-09-29 04:23:42 | Tripura, India | ||
1515363 | 1515363 | 2020-09-28 | India | Unknown | 0 | 0 | 0 | 0 | 2020-09-29 04:23:42 | Unknown, India | ||||
1515364 | 1515364 | 2020-09-28 | India | Uttar Pradesh | 390875 | 5652 | 331270 | 53953 | 26.925425 | 80.560982 | 2020-09-29 04:23:42 | Uttar Pradesh, India | ||
1515365 | 1515365 | 2020-09-28 | India | Uttarakhand | 47502 | 580 | 36856 | 10066 | 30.156447 | 79.197608 | 2020-09-29 04:23:42 | Uttarakhand, India | ||
1515366 | 1515366 | 2020-09-28 | India | West Bengal | 250580 | 4837 | 219844 | 25899 | 23.814082 | 87.979803 | 2020-09-29 04:23:42 | 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]);