johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
36 rows where country_or_region = "India" and last_update = "2020-06-22 04:33:20" sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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
- 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
- …
country_or_region 1
- India · 36 ✖
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3249121 | 3249121 | 2020-06-21 | India | Andaman and Nicobar Islands | 48 | 0 | 37 | 11 | 11.225999 | 92.96817800000001 | 2020-06-22 04:33:20 | Andaman and Nicobar Islands, India | ||
3249122 | 3249122 | 2020-06-21 | India | Andhra Pradesh | 8999 | 106 | 4331 | 4562 | 15.9129 | 79.74 | 2020-06-22 04:33:20 | Andhra Pradesh, India | ||
3249136 | 3249136 | 2020-06-21 | India | Arunachal Pradesh | 135 | 0 | 15 | 120 | 27.768456 | 96.384277 | 2020-06-22 04:33:20 | Arunachal Pradesh, India | ||
3249137 | 3249137 | 2020-06-21 | India | Assam | 5388 | 9 | 3360 | 2019 | 26.357149 | 92.83044100000001 | 2020-06-22 04:33:20 | Assam, India | ||
3249159 | 3249159 | 2020-06-21 | India | Bihar | 7612 | 53 | 5580 | 1979 | 25.679658 | 85.60484 | 2020-06-22 04:33:20 | Bihar, India | ||
3249191 | 3249191 | 2020-06-21 | India | Chandigarh | 406 | 6 | 316 | 84 | 30.733839 | 76.76827800000002 | 2020-06-22 04:33:20 | Chandigarh, India | ||
3249198 | 3249198 | 2020-06-21 | India | Chhattisgarh | 2275 | 11 | 1447 | 817 | 21.264705 | 82.035366 | 2020-06-22 04:33:20 | Chhattisgarh, India | ||
3249215 | 3249215 | 2020-06-21 | India | Dadra and Nagar Haveli and Daman and Diu | 88 | 0 | 26 | 62 | 20.194742 | 73.080901 | 2020-06-22 04:33:20 | Dadra and Nagar Haveli and Daman and Diu, India | ||
3249218 | 3249218 | 2020-06-21 | India | Delhi | 59746 | 2175 | 33013 | 24558 | 28.646519 | 77.10898 | 2020-06-22 04:33:20 | Delhi, India | ||
3249245 | 3249245 | 2020-06-21 | India | Goa | 754 | 0 | 129 | 625 | 15.359682000000001 | 74.057396 | 2020-06-22 04:33:20 | Goa, India | ||
3249260 | 3249260 | 2020-06-21 | India | Gujarat | 27260 | 1663 | 19349 | 6248 | 22.694884 | 71.590923 | 2020-06-22 04:33:20 | Gujarat, India | ||
3249265 | 3249265 | 2020-06-21 | India | Haryana | 10635 | 160 | 5557 | 4918 | 29.20004 | 76.332824 | 2020-06-22 04:33:20 | Haryana, India | ||
3249271 | 3249271 | 2020-06-21 | India | Himachal Pradesh | 673 | 8 | 425 | 240 | 31.927213000000002 | 77.233081 | 2020-06-22 04:33:20 | Himachal Pradesh, India | ||
3249292 | 3249292 | 2020-06-21 | India | Jammu and Kashmir | 5956 | 82 | 3382 | 2492 | 33.75943 | 76.612638 | 2020-06-22 04:33:20 | Jammu and Kashmir, India | ||
3249295 | 3249295 | 2020-06-21 | India | Jharkhand | 2073 | 11 | 1406 | 656 | 23.654536 | 85.557631 | 2020-06-22 04:33:20 | Jharkhand, India | ||
3249312 | 3249312 | 2020-06-21 | India | Karnataka | 9150 | 137 | 5618 | 3395 | 14.705179999999999 | 76.166436 | 2020-06-22 04:33:20 | Karnataka, India | ||
3249314 | 3249314 | 2020-06-21 | India | Kerala | 3172 | 21 | 1661 | 1490 | 10.450898 | 76.405749 | 2020-06-22 04:33:20 | Kerala, India | ||
3249339 | 3249339 | 2020-06-21 | India | Ladakh | 837 | 1 | 134 | 702 | 34.1526 | 77.5771 | 2020-06-22 04:33:20 | Ladakh, India | ||
3249354 | 3249354 | 2020-06-21 | India | Madhya Pradesh | 11903 | 515 | 9015 | 2373 | 23.541513000000002 | 78.289633 | 2020-06-22 04:33:20 | Madhya Pradesh, India | ||
3249360 | 3249360 | 2020-06-21 | India | Maharashtra | 132075 | 6170 | 65744 | 60161 | 19.449759 | 76.108221 | 2020-06-22 04:33:20 | Maharashtra, India | ||
3249361 | 3249361 | 2020-06-21 | India | Manipur | 841 | 0 | 250 | 591 | 24.738975 | 93.882541 | 2020-06-22 04:33:20 | Manipur, India | ||
3249372 | 3249372 | 2020-06-21 | India | Meghalaya | 44 | 1 | 33 | 10 | 25.536934 | 91.278882 | 2020-06-22 04:33:20 | Meghalaya, India | ||
3249382 | 3249382 | 2020-06-21 | India | Mizoram | 141 | 0 | 9 | 132 | 23.309381 | 92.83821999999999 | 2020-06-22 04:33:20 | Mizoram, India | ||
3249393 | 3249393 | 2020-06-21 | India | Nagaland | 211 | 0 | 141 | 70 | 26.06702 | 94.470302 | 2020-06-22 04:33:20 | Nagaland, India | ||
3249426 | 3249426 | 2020-06-21 | India | Odisha | 5160 | 14 | 3720 | 1426 | 20.505428 | 84.418059 | 2020-06-22 04:33:20 | Odisha, India | ||
3249455 | 3249455 | 2020-06-21 | India | Puducherry | 366 | 8 | 140 | 218 | 11.882658000000001 | 78.86498 | 2020-06-22 04:33:20 | Puducherry, India | ||
3249459 | 3249459 | 2020-06-21 | India | Punjab | 4074 | 99 | 2700 | 1275 | 30.841465000000003 | 75.40879 | 2020-06-22 04:33:20 | Punjab, India | ||
3249469 | 3249469 | 2020-06-21 | India | Rajasthan | 14930 | 349 | 11597 | 2984 | 26.583423 | 73.847973 | 2020-06-22 04:33:20 | Rajasthan, India | ||
3249516 | 3249516 | 2020-06-21 | India | Sikkim | 78 | 0 | 25 | 53 | 27.571671000000002 | 88.472712 | 2020-06-22 04:33:20 | Sikkim, India | ||
3249535 | 3249535 | 2020-06-21 | India | Tamil Nadu | 59377 | 757 | 32754 | 25866 | 11.006091 | 78.400624 | 2020-06-22 04:33:20 | Tamil Nadu, India | ||
3249539 | 3249539 | 2020-06-21 | India | Telangana | 7802 | 210 | 3731 | 3861 | 18.1124 | 79.0193 | 2020-06-22 04:33:20 | Telangana, India | ||
3249554 | 3249554 | 2020-06-21 | India | Tripura | 1221 | 1 | 759 | 461 | 23.746782999999997 | 91.743565 | 2020-06-22 04:33:20 | Tripura, India | ||
3249568 | 3249568 | 2020-06-21 | India | Unknown | 7832 | 0 | 0 | 7832 | 2020-06-22 04:33:20 | Unknown, India | ||||
3249574 | 3249574 | 2020-06-21 | India | Uttar Pradesh | 17731 | 550 | 10995 | 6186 | 26.925425 | 80.560982 | 2020-06-22 04:33:20 | Uttar Pradesh, India | ||
3249575 | 3249575 | 2020-06-21 | India | Uttarakhand | 2344 | 27 | 1500 | 817 | 30.156446999999996 | 79.197608 | 2020-06-22 04:33:20 | Uttarakhand, India | ||
3249598 | 3249598 | 2020-06-21 | India | West Bengal | 13945 | 555 | 8297 | 5093 | 23.814082 | 87.979803 | 2020-06-22 04:33:20 | 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]);