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 2022-09-18 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
- 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3373280 | 3373280 | 2022-09-17 | India | Andaman and Nicobar Islands | 10633 | 129 | 0 | 11.225999 | 92.968178 | 2022-09-18 04:22:50 | Andaman and Nicobar Islands, India | |||
3373281 | 3373281 | 2022-09-17 | India | Andhra Pradesh | 2337858 | 14733 | 0 | 15.9129 | 79.74 | 2022-09-18 04:22:50 | Andhra Pradesh, India | |||
3373282 | 3373282 | 2022-09-17 | India | Arunachal Pradesh | 66814 | 296 | 0 | 27.768456 | 96.384277 | 2022-09-18 04:22:50 | Arunachal Pradesh, India | |||
3373283 | 3373283 | 2022-09-17 | India | Assam | 745283 | 8034 | 0 | 26.357149 | 92.830441 | 2022-09-18 04:22:50 | Assam, India | |||
3373284 | 3373284 | 2022-09-17 | India | Bihar | 849993 | 12300 | 0 | 25.679658 | 85.60484 | 2022-09-18 04:22:50 | Bihar, India | |||
3373285 | 3373285 | 2022-09-17 | India | Chandigarh | 99131 | 1181 | 0 | 30.733839 | 76.768278 | 2022-09-18 04:22:50 | Chandigarh, India | |||
3373286 | 3373286 | 2022-09-17 | India | Chhattisgarh | 1175430 | 14123 | 0 | 21.264705 | 82.035366 | 2022-09-18 04:22:50 | Chhattisgarh, India | |||
3373287 | 3373287 | 2022-09-17 | India | Dadra and Nagar Haveli and Daman and Diu | 11585 | 4 | 0 | 20.194742 | 73.080901 | 2022-09-18 04:22:50 | Dadra and Nagar Haveli and Daman and Diu, India | |||
3373288 | 3373288 | 2022-09-17 | India | Delhi | 2002357 | 26498 | 0 | 28.646519 | 77.10898 | 2022-09-18 04:22:50 | Delhi, India | |||
3373289 | 3373289 | 2022-09-17 | India | Goa | 257522 | 3965 | 0 | 15.359682 | 74.057396 | 2022-09-18 04:22:50 | Goa, India | |||
3373290 | 3373290 | 2022-09-17 | India | Gujarat | 1273313 | 11027 | 0 | 22.694884 | 71.590923 | 2022-09-18 04:22:50 | Gujarat, India | |||
3373291 | 3373291 | 2022-09-17 | India | Haryana | 1054254 | 10697 | 0 | 29.20004 | 76.332824 | 2022-09-18 04:22:50 | Haryana, India | |||
3373292 | 3373292 | 2022-09-17 | India | Himachal Pradesh | 311906 | 4208 | 0 | 31.927213 | 77.233081 | 2022-09-18 04:22:50 | Himachal Pradesh, India | |||
3373293 | 3373293 | 2022-09-17 | India | Jammu and Kashmir | 478925 | 4784 | 0 | 33.75943 | 76.612638 | 2022-09-18 04:22:50 | Jammu and Kashmir, India | |||
3373294 | 3373294 | 2022-09-17 | India | Jharkhand | 442216 | 5330 | 0 | 23.654536 | 85.557631 | 2022-09-18 04:22:50 | Jharkhand, India | |||
3373295 | 3373295 | 2022-09-17 | India | Karnataka | 4061157 | 40274 | 0 | 14.70518 | 76.166436 | 2022-09-18 04:22:50 | Karnataka, India | |||
3373296 | 3373296 | 2022-09-17 | India | Kerala | 6784044 | 70990 | 0 | 10.450898 | 76.405749 | 2022-09-18 04:22:50 | Kerala, India | |||
3373297 | 3373297 | 2022-09-17 | India | Ladakh | 29304 | 230 | 0 | 34.1526 | 77.5771 | 2022-09-18 04:22:50 | Ladakh, India | |||
3373298 | 3373298 | 2022-09-17 | India | Lakshadweep | 11415 | 52 | 0 | 13.6999972 | 72.1833326 | 2022-09-18 04:22:50 | Lakshadweep, India | |||
3373299 | 3373299 | 2022-09-17 | India | Madhya Pradesh | 1054046 | 10771 | 0 | 23.541513 | 78.289633 | 2022-09-18 04:22:50 | Madhya Pradesh, India | |||
3373300 | 3373300 | 2022-09-17 | India | Maharashtra | 8114940 | 148307 | 0 | 19.449759 | 76.108221 | 2022-09-18 04:22:50 | Maharashtra, India | |||
3373301 | 3373301 | 2022-09-17 | India | Manipur | 139782 | 2148 | 0 | 24.738975 | 93.882541 | 2022-09-18 04:22:50 | Manipur, India | |||
3373302 | 3373302 | 2022-09-17 | India | Meghalaya | 96608 | 1621 | 0 | 25.536934 | 91.278882 | 2022-09-18 04:22:50 | Meghalaya, India | |||
3373303 | 3373303 | 2022-09-17 | India | Mizoram | 238043 | 722 | 0 | 23.309381 | 92.83822 | 2022-09-18 04:22:50 | Mizoram, India | |||
3373304 | 3373304 | 2022-09-17 | India | Nagaland | 35945 | 781 | 0 | 26.06702 | 94.470302 | 2022-09-18 04:22:50 | Nagaland, India | |||
3373305 | 3373305 | 2022-09-17 | India | Odisha | 1331586 | 9186 | 0 | 20.505428 | 84.418059 | 2022-09-18 04:22:50 | Odisha, India | |||
3373306 | 3373306 | 2022-09-17 | India | Puducherry | 173817 | 1970 | 0 | 11.882658 | 78.86498 | 2022-09-18 04:22:50 | Puducherry, India | |||
3373307 | 3373307 | 2022-09-17 | India | Punjab | 784169 | 17910 | 0 | 30.841465 | 75.40879 | 2022-09-18 04:22:50 | Punjab, India | |||
3373308 | 3373308 | 2022-09-17 | India | Rajasthan | 1312188 | 9633 | 0 | 26.583423 | 73.847973 | 2022-09-18 04:22:50 | Rajasthan, India | |||
3373309 | 3373309 | 2022-09-17 | India | Sikkim | 44029 | 495 | 0 | 27.571671 | 88.472712 | 2022-09-18 04:22:50 | Sikkim, India | |||
3373310 | 3373310 | 2022-09-17 | India | Tamil Nadu | 3576322 | 38040 | 0 | 11.006091 | 78.400624 | 2022-09-18 04:22:50 | Tamil Nadu, India | |||
3373311 | 3373311 | 2022-09-17 | India | Telangana | 836621 | 4111 | 0 | 18.1124 | 79.0193 | 2022-09-18 04:22:50 | Telangana, India | |||
3373312 | 3373312 | 2022-09-17 | India | Tripura | 107752 | 938 | 0 | 23.746783 | 91.743565 | 2022-09-18 04:22:50 | Tripura, India | |||
3373313 | 3373313 | 2022-09-17 | India | Unknown | 0 | 0 | 0 | 2022-09-18 04:22:50 | Unknown, India | |||||
3373314 | 3373314 | 2022-09-17 | India | Uttar Pradesh | 2125425 | 23616 | 0 | 26.925425 | 80.560982 | 2022-09-18 04:22:50 | Uttar Pradesh, India | |||
3373315 | 3373315 | 2022-09-17 | India | Uttarakhand | 448985 | 7745 | 0 | 30.156447 | 79.197608 | 2022-09-18 04:22:50 | Uttarakhand, India | |||
3373316 | 3373316 | 2022-09-17 | India | West Bengal | 2110790 | 21488 | 0 | 23.814082 | 87.979803 | 2022-09-18 04:22:50 | 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]);