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 2020-08-05 sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3792852 | 3792852 | 2020-08-05 | India | Andaman and Nicobar Islands | 1027 | 14 | 326 | 687 | 11.225999 | 92.968178 | 2020-08-06 04:35:02 | Andaman and Nicobar Islands, India | ||
3792853 | 3792853 | 2020-08-05 | India | Andhra Pradesh | 186461 | 1681 | 104354 | 80426 | 15.9129 | 79.74 | 2020-08-06 04:35:02 | Andhra Pradesh, India | ||
3792867 | 3792867 | 2020-08-05 | India | Arunachal Pradesh | 1855 | 3 | 1210 | 642 | 27.768456 | 96.384277 | 2020-08-06 04:35:02 | Arunachal Pradesh, India | ||
3792868 | 3792868 | 2020-08-05 | India | Assam | 50445 | 121 | 35892 | 14432 | 26.357149 | 92.830441 | 2020-08-06 04:35:02 | Assam, India | ||
3792890 | 3792890 | 2020-08-05 | India | Bihar | 64770 | 355 | 42414 | 22001 | 25.679658 | 85.60484 | 2020-08-06 04:35:02 | Bihar, India | ||
3792922 | 3792922 | 2020-08-05 | India | Chandigarh | 1270 | 20 | 715 | 535 | 30.733839 | 76.76827800000002 | 2020-08-06 04:35:02 | Chandigarh, India | ||
3792929 | 3792929 | 2020-08-05 | India | Chhattisgarh | 10407 | 71 | 7871 | 2465 | 21.264705 | 82.035366 | 2020-08-06 04:35:02 | Chhattisgarh, India | ||
3792946 | 3792946 | 2020-08-05 | India | Dadra and Nagar Haveli and Daman and Diu | 1366 | 2 | 960 | 404 | 20.194742 | 73.080901 | 2020-08-06 04:35:02 | Dadra and Nagar Haveli and Daman and Diu, India | ||
3792949 | 3792949 | 2020-08-05 | India | Delhi | 140232 | 4044 | 126116 | 10072 | 28.646519 | 77.10898 | 2020-08-06 04:35:02 | Delhi, India | ||
3792980 | 3792980 | 2020-08-05 | India | Goa | 7423 | 64 | 5287 | 2072 | 15.359682 | 74.057396 | 2020-08-06 04:35:02 | Goa, India | ||
3792995 | 3792995 | 2020-08-05 | India | Gujarat | 66669 | 2556 | 49433 | 14680 | 22.694884 | 71.590923 | 2020-08-06 04:35:02 | Gujarat, India | ||
3793000 | 3793000 | 2020-08-05 | India | Haryana | 38548 | 455 | 31960 | 6133 | 29.20004 | 76.332824 | 2020-08-06 04:35:02 | Haryana, India | ||
3793006 | 3793006 | 2020-08-05 | India | Himachal Pradesh | 2916 | 14 | 1762 | 1140 | 31.927213 | 77.233081 | 2020-08-06 04:35:02 | Himachal Pradesh, India | ||
3793028 | 3793028 | 2020-08-05 | India | Jammu and Kashmir | 22955 | 426 | 15244 | 7285 | 33.75943 | 76.612638 | 2020-08-06 04:35:02 | Jammu and Kashmir, India | ||
3793031 | 3793031 | 2020-08-05 | India | Jharkhand | 14888 | 136 | 5703 | 9049 | 23.654536 | 85.557631 | 2020-08-06 04:35:02 | Jharkhand, India | ||
3793048 | 3793048 | 2020-08-05 | India | Karnataka | 151449 | 2804 | 74679 | 73966 | 14.70518 | 76.166436 | 2020-08-06 04:35:02 | Karnataka, India | ||
3793050 | 3793050 | 2020-08-05 | India | Kerala | 29151 | 94 | 17533 | 11524 | 10.450898 | 76.405749 | 2020-08-06 04:35:02 | Kerala, India | ||
3793075 | 3793075 | 2020-08-05 | India | Ladakh | 1592 | 7 | 1164 | 421 | 34.1526 | 77.5771 | 2020-08-06 04:35:02 | Ladakh, India | ||
3793076 | 3793076 | 2020-08-05 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-08-06 04:35:02 | Lakshadweep, India | ||
3793092 | 3793092 | 2020-08-05 | India | Madhya Pradesh | 35734 | 929 | 26064 | 8741 | 23.541513 | 78.289633 | 2020-08-06 04:35:02 | Madhya Pradesh, India | ||
3793098 | 3793098 | 2020-08-05 | India | Maharashtra | 468265 | 16476 | 305521 | 146268 | 19.449759 | 76.108221 | 2020-08-06 04:35:02 | Maharashtra, India | ||
3793099 | 3793099 | 2020-08-05 | India | Manipur | 3093 | 7 | 1862 | 1224 | 24.738975 | 93.882541 | 2020-08-06 04:35:02 | Manipur, India | ||
3793110 | 3793110 | 2020-08-05 | India | Meghalaya | 929 | 5 | 330 | 594 | 25.536934 | 91.278882 | 2020-08-06 04:35:02 | Meghalaya, India | ||
3793120 | 3793120 | 2020-08-05 | India | Mizoram | 537 | 0 | 286 | 251 | 23.309381 | 92.83822 | 2020-08-06 04:35:02 | Mizoram, India | ||
3793131 | 3793131 | 2020-08-05 | India | Nagaland | 2498 | 6 | 685 | 1807 | 26.06702 | 94.470302 | 2020-08-06 04:35:02 | Nagaland, India | ||
3793166 | 3793166 | 2020-08-05 | India | Odisha | 39018 | 225 | 25738 | 13055 | 20.505428 | 84.418059 | 2020-08-06 04:35:02 | Odisha, India | ||
3793196 | 3793196 | 2020-08-05 | India | Puducherry | 4433 | 65 | 2668 | 1700 | 11.882658 | 78.86498 | 2020-08-06 04:35:02 | Puducherry, India | ||
3793199 | 3793199 | 2020-08-05 | India | Punjab | 19856 | 491 | 12943 | 6422 | 30.841465000000003 | 75.40879 | 2020-08-06 04:35:02 | Punjab, India | ||
3793209 | 3793209 | 2020-08-05 | India | Rajasthan | 47272 | 745 | 33849 | 12678 | 26.583423 | 73.847973 | 2020-08-06 04:35:02 | Rajasthan, India | ||
3793256 | 3793256 | 2020-08-05 | India | Sikkim | 800 | 1 | 303 | 496 | 27.571671 | 88.472712 | 2020-08-06 04:35:02 | Sikkim, India | ||
3793275 | 3793275 | 2020-08-05 | India | Tamil Nadu | 273460 | 4461 | 214815 | 54184 | 11.006091 | 78.400624 | 2020-08-06 04:35:02 | Tamil Nadu, India | ||
3793279 | 3793279 | 2020-08-05 | India | Telangana | 73050 | 589 | 52103 | 20358 | 18.1124 | 79.0193 | 2020-08-06 04:35:02 | Telangana, India | ||
3793294 | 3793294 | 2020-08-05 | India | Tripura | 5725 | 31 | 3793 | 1901 | 23.746783 | 91.743565 | 2020-08-06 04:35:02 | Tripura, India | ||
3793307 | 3793307 | 2020-08-05 | India | Unknown | 0 | 0 | 0 | 0 | 2020-08-06 04:35:02 | Unknown, India | ||||
3793315 | 3793315 | 2020-08-05 | India | Uttar Pradesh | 104388 | 1857 | 60558 | 41973 | 26.925425 | 80.560982 | 2020-08-06 04:35:02 | Uttar Pradesh, India | ||
3793316 | 3793316 | 2020-08-05 | India | Uttarakhand | 8254 | 98 | 5233 | 2923 | 30.156447 | 79.197608 | 2020-08-06 04:35:02 | Uttarakhand, India | ||
3793339 | 3793339 | 2020-08-05 | India | West Bengal | 83800 | 1846 | 58962 | 22992 | 23.814082 | 87.979803 | 2020-08-06 04:35:02 | 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]);