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 2021-01-14 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3308139 | 3308139 | 2021-01-13 | India | Andaman and Nicobar Islands | 4969 | 62 | 4891 | 16 | 11.225999 | 92.968178 | 2021-01-14 05:22:32 | Andaman and Nicobar Islands, India | ||
3308140 | 3308140 | 2021-01-13 | India | Andhra Pradesh | 885437 | 7134 | 875921 | 2382 | 15.9129 | 79.74 | 2021-01-14 05:22:32 | Andhra Pradesh, India | ||
3308141 | 3308141 | 2021-01-13 | India | Arunachal Pradesh | 16783 | 56 | 16669 | 58 | 27.768456 | 96.384277 | 2021-01-14 05:22:32 | Arunachal Pradesh, India | ||
3308142 | 3308142 | 2021-01-13 | India | Assam | 216743 | 1065 | 212675 | 3003 | 26.357149 | 92.830441 | 2021-01-14 05:22:32 | Assam, India | ||
3308143 | 3308143 | 2021-01-13 | India | Bihar | 256587 | 1445 | 251027 | 4115 | 25.679658 | 85.60484 | 2021-01-14 05:22:32 | Bihar, India | ||
3308144 | 3308144 | 2021-01-13 | India | Chandigarh | 20415 | 329 | 19794 | 292 | 30.733839 | 76.76827800000002 | 2021-01-14 05:22:32 | Chandigarh, India | ||
3308145 | 3308145 | 2021-01-13 | India | Chhattisgarh | 291484 | 3527 | 280166 | 7791 | 21.264705 | 82.035366 | 2021-01-14 05:22:32 | Chhattisgarh, India | ||
3308146 | 3308146 | 2021-01-13 | India | Dadra and Nagar Haveli and Daman and Diu | 3383 | 2 | 3377 | 4 | 20.194742 | 73.080901 | 2021-01-14 05:22:32 | Dadra and Nagar Haveli and Daman and Diu, India | ||
3308147 | 3308147 | 2021-01-13 | India | Delhi | 631249 | 10718 | 617540 | 2991 | 28.646519 | 77.10898 | 2021-01-14 05:22:32 | Delhi, India | ||
3308148 | 3308148 | 2021-01-13 | India | Goa | 52079 | 750 | 50515 | 814 | 15.359682 | 74.057396 | 2021-01-14 05:22:32 | Goa, India | ||
3308149 | 3308149 | 2021-01-13 | India | Gujarat | 253744 | 4354 | 242164 | 7226 | 22.694884 | 71.590923 | 2021-01-14 05:22:32 | Gujarat, India | ||
3308150 | 3308150 | 2021-01-13 | India | Haryana | 265616 | 2966 | 260236 | 2414 | 29.20004 | 76.332824 | 2021-01-14 05:22:32 | Haryana, India | ||
3308151 | 3308151 | 2021-01-13 | India | Himachal Pradesh | 56689 | 963 | 54896 | 830 | 31.927213 | 77.233081 | 2021-01-14 05:22:32 | Himachal Pradesh, India | ||
3308152 | 3308152 | 2021-01-13 | India | Jammu and Kashmir | 122885 | 1912 | 119344 | 1629 | 33.75943 | 76.612638 | 2021-01-14 05:22:32 | Jammu and Kashmir, India | ||
3308153 | 3308153 | 2021-01-13 | India | Jharkhand | 117240 | 1048 | 114836 | 1356 | 23.654536 | 85.557631 | 2021-01-14 05:22:32 | Jharkhand, India | ||
3308154 | 3308154 | 2021-01-13 | India | Karnataka | 929552 | 12152 | 908494 | 8906 | 14.70518 | 76.166436 | 2021-01-14 05:22:32 | Karnataka, India | ||
3308155 | 3308155 | 2021-01-13 | India | Kerala | 825769 | 3373 | 756817 | 65579 | 10.450898 | 76.405749 | 2021-01-14 05:22:32 | Kerala, India | ||
3308156 | 3308156 | 2021-01-13 | India | Ladakh | 9639 | 128 | 9375 | 136 | 34.1526 | 77.5771 | 2021-01-14 05:22:32 | Ladakh, India | ||
3308157 | 3308157 | 2021-01-13 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2021-01-14 05:22:32 | Lakshadweep, India | ||
3308158 | 3308158 | 2021-01-13 | India | Madhya Pradesh | 250009 | 3732 | 238983 | 7294 | 23.541513 | 78.289633 | 2021-01-14 05:22:32 | Madhya Pradesh, India | ||
3308159 | 3308159 | 2021-01-13 | India | Maharashtra | 1978044 | 50221 | 1874279 | 53544 | 19.449759 | 76.108221 | 2021-01-14 05:22:32 | Maharashtra, India | ||
3308160 | 3308160 | 2021-01-13 | India | Manipur | 28769 | 365 | 27935 | 469 | 24.738975 | 93.882541 | 2021-01-14 05:22:32 | Manipur, India | ||
3308161 | 3308161 | 2021-01-13 | India | Meghalaya | 13669 | 144 | 13365 | 160 | 25.536934 | 91.278882 | 2021-01-14 05:22:32 | Meghalaya, India | ||
3308162 | 3308162 | 2021-01-13 | India | Mizoram | 4310 | 9 | 4200 | 101 | 23.309381 | 92.83822 | 2021-01-14 05:22:32 | Mizoram, India | ||
3308163 | 3308163 | 2021-01-13 | India | Nagaland | 12003 | 86 | 11814 | 103 | 26.06702 | 94.470302 | 2021-01-14 05:22:32 | Nagaland, India | ||
3308164 | 3308164 | 2021-01-13 | India | Odisha | 332541 | 1895 | 328622 | 2024 | 20.505428 | 84.418059 | 2021-01-14 05:22:32 | Odisha, India | ||
3308165 | 3308165 | 2021-01-13 | India | Puducherry | 38524 | 639 | 37607 | 278 | 11.882658 | 78.86498 | 2021-01-14 05:22:32 | Puducherry, India | ||
3308166 | 3308166 | 2021-01-13 | India | Punjab | 169737 | 5463 | 161457 | 2817 | 30.841465000000003 | 75.40879 | 2021-01-14 05:22:32 | Punjab, India | ||
3308167 | 3308167 | 2021-01-13 | India | Rajasthan | 314091 | 2742 | 305569 | 5780 | 26.583423 | 73.847973 | 2021-01-14 05:22:32 | Rajasthan, India | ||
3308168 | 3308168 | 2021-01-13 | India | Sikkim | 6004 | 129 | 5564 | 311 | 27.571671 | 88.472712 | 2021-01-14 05:22:32 | Sikkim, India | ||
3308169 | 3308169 | 2021-01-13 | India | Tamil Nadu | 828287 | 12242 | 809392 | 6653 | 11.006091 | 78.400624 | 2021-01-14 05:22:32 | Tamil Nadu, India | ||
3308170 | 3308170 | 2021-01-13 | India | Telangana | 290916 | 1572 | 284849 | 4495 | 18.1124 | 79.0193 | 2021-01-14 05:22:32 | Telangana, India | ||
3308171 | 3308171 | 2021-01-13 | India | Tripura | 33320 | 389 | 32886 | 45 | 23.746783 | 91.743565 | 2021-01-14 05:22:32 | Tripura, India | ||
3308172 | 3308172 | 2021-01-13 | India | Unknown | 0 | 0 | 0 | 0 | 2021-01-14 05:22:32 | Unknown, India | ||||
3308173 | 3308173 | 2021-01-13 | India | Uttar Pradesh | 594641 | 8529 | 575980 | 10132 | 26.925425 | 80.560982 | 2021-01-14 05:22:32 | Uttar Pradesh, India | ||
3308174 | 3308174 | 2021-01-13 | India | Uttarakhand | 94170 | 1593 | 90025 | 2552 | 30.156447 | 79.197608 | 2021-01-14 05:22:32 | Uttarakhand, India | ||
3308175 | 3308175 | 2021-01-13 | India | West Bengal | 562795 | 9993 | 545499 | 7303 | 23.814082 | 87.979803 | 2021-01-14 05:22:32 | 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]);