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 2020-07-29 sorted by day descending
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2958331 | 2958331 | 2020-07-29 | India | Andaman and Nicobar Islands | 363 | 1 | 196 | 166 | 11.225999 | 92.96817800000001 | 2020-07-30 03:35:26 | Andaman and Nicobar Islands, India | ||
2958332 | 2958332 | 2020-07-29 | India | Andhra Pradesh | 120390 | 1213 | 55406 | 63771 | 15.9129 | 79.74 | 2020-07-30 04:35:05 | Andhra Pradesh, India | ||
2958346 | 2958346 | 2020-07-29 | India | Arunachal Pradesh | 1410 | 3 | 677 | 730 | 27.768456 | 96.384277 | 2020-07-30 04:35:05 | Arunachal Pradesh, India | ||
2958347 | 2958347 | 2020-07-29 | India | Assam | 36295 | 92 | 27832 | 8371 | 26.357149 | 92.830441 | 2020-07-30 04:35:05 | Assam, India | ||
2958369 | 2958369 | 2020-07-29 | India | Bihar | 46080 | 278 | 30320 | 15482 | 25.679658 | 85.60484 | 2020-07-30 04:35:05 | Bihar, India | ||
2958401 | 2958401 | 2020-07-29 | India | Chandigarh | 978 | 14 | 611 | 353 | 30.733839 | 76.76827800000002 | 2020-07-30 04:35:05 | Chandigarh, India | ||
2958408 | 2958408 | 2020-07-29 | India | Chhattisgarh | 8539 | 48 | 5636 | 2855 | 21.264705 | 82.035366 | 2020-07-30 04:35:05 | Chhattisgarh, India | ||
2958425 | 2958425 | 2020-07-29 | India | Dadra and Nagar Haveli and Daman and Diu | 1026 | 2 | 648 | 376 | 20.194742 | 73.080901 | 2020-07-30 04:35:05 | Dadra and Nagar Haveli and Daman and Diu, India | ||
2958428 | 2958428 | 2020-07-29 | India | Delhi | 133310 | 3907 | 118633 | 10770 | 28.646519 | 77.10898 | 2020-07-30 04:35:05 | Delhi, India | ||
2958459 | 2958459 | 2020-07-29 | India | Goa | 5489 | 39 | 3784 | 1666 | 15.359682 | 74.057396 | 2020-07-30 04:35:05 | Goa, India | ||
2958474 | 2958474 | 2020-07-29 | India | Gujarat | 59126 | 2396 | 43195 | 13535 | 22.694884 | 71.590923 | 2020-07-30 04:35:05 | Gujarat, India | ||
2958479 | 2958479 | 2020-07-29 | India | Haryana | 33631 | 413 | 26420 | 6798 | 29.20004 | 76.332824 | 2020-07-30 04:35:05 | Haryana, India | ||
2958485 | 2958485 | 2020-07-29 | India | Himachal Pradesh | 2403 | 14 | 1332 | 1057 | 31.927213 | 77.233081 | 2020-07-30 04:35:05 | Himachal Pradesh, India | ||
2958507 | 2958507 | 2020-07-29 | India | Jammu and Kashmir | 19419 | 348 | 11322 | 7749 | 33.75943 | 76.612638 | 2020-07-30 04:35:05 | Jammu and Kashmir, India | ||
2958510 | 2958510 | 2020-07-29 | India | Jharkhand | 9861 | 98 | 4035 | 5728 | 23.654536 | 85.557631 | 2020-07-30 04:35:05 | Jharkhand, India | ||
2958527 | 2958527 | 2020-07-29 | India | Karnataka | 112504 | 2147 | 42901 | 67456 | 14.70518 | 76.166436 | 2020-07-30 04:35:05 | Karnataka, India | ||
2958529 | 2958529 | 2020-07-29 | India | Kerala | 21797 | 68 | 11365 | 10364 | 10.450898 | 76.405749 | 2020-07-30 04:35:05 | Kerala, India | ||
2958554 | 2958554 | 2020-07-29 | India | Ladakh | 1347 | 6 | 1080 | 261 | 34.1526 | 77.5771 | 2020-07-30 04:35:05 | Ladakh, India | ||
2958555 | 2958555 | 2020-07-29 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-07-30 04:35:05 | Lakshadweep, India | ||
2958571 | 2958571 | 2020-07-29 | India | Madhya Pradesh | 30134 | 843 | 20934 | 8357 | 23.541513 | 78.289633 | 2020-07-30 04:35:05 | Madhya Pradesh, India | ||
2958577 | 2958577 | 2020-07-29 | India | Maharashtra | 400651 | 14463 | 239755 | 146433 | 19.449759 | 76.108221 | 2020-07-30 04:35:05 | Maharashtra, India | ||
2958578 | 2958578 | 2020-07-29 | India | Manipur | 2458 | 0 | 1639 | 819 | 24.738975 | 93.882541 | 2020-07-30 04:35:05 | Manipur, India | ||
2958589 | 2958589 | 2020-07-29 | India | Meghalaya | 784 | 5 | 207 | 572 | 25.536934 | 91.278882 | 2020-07-30 04:35:05 | Meghalaya, India | ||
2958599 | 2958599 | 2020-07-29 | India | Mizoram | 398 | 0 | 215 | 183 | 23.309381 | 92.83822 | 2020-07-30 04:35:05 | Mizoram, India | ||
2958610 | 2958610 | 2020-07-29 | India | Nagaland | 1513 | 5 | 595 | 913 | 26.06702 | 94.470302 | 2020-07-30 04:35:05 | Nagaland, India | ||
2958645 | 2958645 | 2020-07-29 | India | Odisha | 29175 | 159 | 18939 | 10077 | 20.505428 | 84.418059 | 2020-07-30 04:35:05 | Odisha, India | ||
2958675 | 2958675 | 2020-07-29 | India | Puducherry | 3177 | 47 | 1874 | 1256 | 11.882658 | 78.86498 | 2020-07-30 04:35:05 | Puducherry, India | ||
2958678 | 2958678 | 2020-07-29 | India | Punjab | 14946 | 361 | 10213 | 4372 | 30.841465000000003 | 75.40879 | 2020-07-30 04:35:05 | Punjab, India | ||
2958688 | 2958688 | 2020-07-29 | India | Rajasthan | 38964 | 650 | 27569 | 10745 | 26.583423 | 73.847973 | 2020-07-30 04:35:05 | Rajasthan, India | ||
2958735 | 2958735 | 2020-07-29 | India | Sikkim | 596 | 1 | 198 | 397 | 27.571671 | 88.472712 | 2020-07-30 04:35:05 | Sikkim, India | ||
2958754 | 2958754 | 2020-07-29 | India | Tamil Nadu | 234114 | 3741 | 172883 | 57490 | 11.006091 | 78.400624 | 2020-07-30 04:35:05 | Tamil Nadu, India | ||
2958772 | 2958772 | 2020-07-29 | India | Tripura | 4485 | 21 | 2678 | 1786 | 23.746783 | 91.743565 | 2020-07-30 04:35:05 | Tripura, India | ||
2958785 | 2958785 | 2020-07-29 | India | Unknown | 0 | 0 | 0 | 0 | 2020-07-30 04:35:05 | Unknown, India | ||||
2958793 | 2958793 | 2020-07-29 | India | Uttar Pradesh | 77334 | 1530 | 45807 | 29997 | 26.925425 | 80.560982 | 2020-07-30 04:35:05 | Uttar Pradesh, India | ||
2958794 | 2958794 | 2020-07-29 | India | Uttarakhand | 6866 | 72 | 3811 | 2983 | 30.156447 | 79.197608 | 2020-07-30 04:35:05 | Uttarakhand, India | ||
2958817 | 2958817 | 2020-07-29 | India | West Bengal | 65258 | 1490 | 44116 | 19652 | 23.814082 | 87.979803 | 2020-07-30 04:35:05 | West Bengal, India | ||
2959003 | 2959003 | 2020-07-29 | India | Telangana | 57142 | 480 | 42909 | 13753 | 18.1124 | 79.0193 | 2020-07-30 03:35:26 | Telangana, 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]);