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 2020-09-22 sorted by day descending
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Suggested facets: active
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3316154 | 3316154 | 2020-09-22 | India | Andaman and Nicobar Islands | 3691 | 52 | 3479 | 160 | 11.225999 | 92.968178 | 2020-09-23 04:23:00 | Andaman and Nicobar Islands, India | ||
3316155 | 3316155 | 2020-09-22 | India | Andhra Pradesh | 639302 | 5461 | 562376 | 71465 | 15.9129 | 79.74 | 2020-09-23 04:23:00 | Andhra Pradesh, India | ||
3316156 | 3316156 | 2020-09-22 | India | Arunachal Pradesh | 7844 | 14 | 5778 | 2052 | 27.768456 | 96.384277 | 2020-09-23 04:23:00 | Arunachal Pradesh, India | ||
3316157 | 3316157 | 2020-09-22 | India | Assam | 161393 | 586 | 130950 | 29857 | 26.357149 | 92.830441 | 2020-09-23 04:23:00 | Assam, India | ||
3316158 | 3316158 | 2020-09-22 | India | Bihar | 171255 | 873 | 157454 | 12928 | 25.679658 | 85.60484 | 2020-09-23 04:23:00 | Bihar, India | ||
3316159 | 3316159 | 2020-09-22 | India | Chandigarh | 10546 | 130 | 7794 | 2622 | 30.733839 | 76.768278 | 2020-09-23 04:23:00 | Chandigarh, India | ||
3316160 | 3316160 | 2020-09-22 | India | Chhattisgarh | 90917 | 718 | 52001 | 38198 | 21.264705 | 82.035366 | 2020-09-23 04:23:00 | Chhattisgarh, India | ||
3316161 | 3316161 | 2020-09-22 | India | Dadra and Nagar Haveli and Daman and Diu | 2944 | 2 | 2744 | 198 | 20.194742 | 73.080901 | 2020-09-23 04:23:00 | Dadra and Nagar Haveli and Daman and Diu, India | ||
3316162 | 3316162 | 2020-09-22 | India | Delhi | 253075 | 5051 | 216401 | 31623 | 28.646519 | 77.10898 | 2020-09-23 04:23:00 | Delhi, India | ||
3316163 | 3316163 | 2020-09-22 | India | Goa | 29343 | 368 | 23462 | 5513 | 15.359682 | 74.057396 | 2020-09-23 04:23:00 | Goa, India | ||
3316164 | 3316164 | 2020-09-22 | India | Gujarat | 126007 | 3352 | 106285 | 16370 | 22.694884 | 71.590923 | 2020-09-23 04:23:00 | Gujarat, India | ||
3316165 | 3316165 | 2020-09-22 | India | Haryana | 114870 | 1206 | 93776 | 19888 | 29.20004 | 76.332824 | 2020-09-23 04:23:00 | Haryana, India | ||
3316166 | 3316166 | 2020-09-22 | India | Himachal Pradesh | 12769 | 134 | 8511 | 4124 | 31.927213 | 77.233081 | 2020-09-23 04:23:00 | Himachal Pradesh, India | ||
3316167 | 3316167 | 2020-09-22 | India | Jammu and Kashmir | 66261 | 1042 | 43734 | 21485 | 33.75943 | 76.612638 | 2020-09-23 04:23:00 | Jammu and Kashmir, India | ||
3316168 | 3316168 | 2020-09-22 | India | Jharkhand | 73948 | 641 | 60027 | 13280 | 23.654536 | 85.557631 | 2020-09-23 04:23:00 | Jharkhand, India | ||
3316169 | 3316169 | 2020-09-22 | India | Karnataka | 533850 | 8228 | 432450 | 93172 | 14.70518 | 76.166436 | 2020-09-23 04:23:00 | Karnataka, India | ||
3316170 | 3316170 | 2020-09-22 | India | Kerala | 142756 | 572 | 101731 | 40453 | 10.450898 | 76.405749 | 2020-09-23 04:23:00 | Kerala, India | ||
3316171 | 3316171 | 2020-09-22 | India | Ladakh | 3887 | 50 | 2809 | 1028 | 34.1526 | 77.5771 | 2020-09-23 04:23:00 | Ladakh, India | ||
3316172 | 3316172 | 2020-09-22 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.1833326 | 2020-09-23 04:23:00 | Lakshadweep, India | ||
3316173 | 3316173 | 2020-09-22 | India | Madhya Pradesh | 110711 | 2035 | 86030 | 22646 | 23.541513 | 78.289633 | 2020-09-23 04:23:00 | Madhya Pradesh, India | ||
3316174 | 3316174 | 2020-09-22 | India | Maharashtra | 1242770 | 33407 | 936554 | 272809 | 19.449759 | 76.108221 | 2020-09-23 04:23:00 | Maharashtra, India | ||
3316175 | 3316175 | 2020-09-22 | India | Manipur | 9280 | 60 | 6887 | 2333 | 24.738975 | 93.882541 | 2020-09-23 04:23:00 | Manipur, India | ||
3316176 | 3316176 | 2020-09-22 | India | Meghalaya | 4791 | 38 | 2706 | 2047 | 25.536934 | 91.278882 | 2020-09-23 04:23:00 | Meghalaya, India | ||
3316177 | 3316177 | 2020-09-22 | India | Mizoram | 1713 | 0 | 1023 | 690 | 23.309381 | 92.83822 | 2020-09-23 04:23:00 | Mizoram, India | ||
3316178 | 3316178 | 2020-09-22 | India | Nagaland | 5604 | 15 | 4517 | 1072 | 26.06702 | 94.470302 | 2020-09-23 04:23:00 | Nagaland, India | ||
3316179 | 3316179 | 2020-09-22 | India | Odisha | 188311 | 721 | 153213 | 34377 | 20.505428 | 84.418059 | 2020-09-23 04:23:00 | Odisha, India | ||
3316180 | 3316180 | 2020-09-22 | India | Puducherry | 23684 | 473 | 18454 | 4757 | 11.882658 | 78.86498 | 2020-09-23 04:23:00 | Puducherry, India | ||
3316181 | 3316181 | 2020-09-22 | India | Punjab | 101341 | 2926 | 77127 | 21288 | 30.841465 | 75.40879 | 2020-09-23 04:23:00 | Punjab, India | ||
3316182 | 3316182 | 2020-09-22 | India | Rajasthan | 118793 | 1367 | 98812 | 18614 | 26.583423 | 73.847973 | 2020-09-23 04:23:00 | Rajasthan, India | ||
3316183 | 3316183 | 2020-09-22 | India | Sikkim | 2594 | 29 | 2009 | 556 | 27.571671 | 88.472712 | 2020-09-23 04:23:00 | Sikkim, India | ||
3316184 | 3316184 | 2020-09-22 | India | Tamil Nadu | 552674 | 8947 | 497377 | 46350 | 11.006091 | 78.400624 | 2020-09-23 04:23:00 | Tamil Nadu, India | ||
3316185 | 3316185 | 2020-09-22 | India | Telangana | 177070 | 1062 | 146135 | 29873 | 18.1124 | 79.0193 | 2020-09-23 04:23:00 | Telangana, India | ||
3316186 | 3316186 | 2020-09-22 | India | Tripura | 23338 | 253 | 16486 | 6599 | 23.746783 | 91.743565 | 2020-09-23 04:23:00 | Tripura, India | ||
3316187 | 3316187 | 2020-09-22 | India | Unknown | 0 | 0 | 0 | 0 | 2020-09-23 04:23:00 | Unknown, India | ||||
3316188 | 3316188 | 2020-09-22 | India | Uttar Pradesh | 364543 | 5212 | 296183 | 63148 | 26.925425 | 80.560982 | 2020-09-23 04:23:00 | Uttar Pradesh, India | ||
3316189 | 3316189 | 2020-09-22 | India | Uttarakhand | 42651 | 512 | 30308 | 11831 | 30.156447 | 79.197608 | 2020-09-23 04:23:00 | Uttarakhand, India | ||
3316190 | 3316190 | 2020-09-22 | India | West Bengal | 231484 | 4483 | 202030 | 24971 | 23.814082 | 87.979803 | 2020-09-23 04:23:00 | 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]);