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 2020-10-05 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1822723 | 1822723 | 2020-10-04 | India | Andaman and Nicobar Islands | 3884 | 53 | 3649 | 182 | 11.225999 | 92.968178 | 2020-10-05 04:23:33 | Andaman and Nicobar Islands, India | ||
1822724 | 1822724 | 2020-10-04 | India | Andhra Pradesh | 719256 | 5981 | 658875 | 54400 | 15.9129 | 79.74 | 2020-10-05 04:23:33 | Andhra Pradesh, India | ||
1822725 | 1822725 | 2020-10-04 | India | Arunachal Pradesh | 10548 | 18 | 7577 | 2953 | 27.768456 | 96.384277 | 2020-10-05 04:23:33 | Arunachal Pradesh, India | ||
1822726 | 1822726 | 2020-10-04 | India | Assam | 186200 | 749 | 152127 | 33324 | 26.357149 | 92.830441 | 2020-10-05 04:23:33 | Assam, India | ||
1822727 | 1822727 | 2020-10-04 | India | Bihar | 188168 | 915 | 175458 | 11795 | 25.679658 | 85.60484 | 2020-10-05 04:23:33 | Bihar, India | ||
1822728 | 1822728 | 2020-10-04 | India | Chandigarh | 12445 | 174 | 10598 | 1673 | 30.733839 | 76.76827800000002 | 2020-10-05 04:23:33 | Chandigarh, India | ||
1822729 | 1822729 | 2020-10-04 | India | Chhattisgarh | 123324 | 1045 | 93731 | 28548 | 21.264705 | 82.035366 | 2020-10-05 04:23:33 | Chhattisgarh, India | ||
1822730 | 1822730 | 2020-10-04 | India | Dadra and Nagar Haveli and Daman and Diu | 3087 | 2 | 2980 | 105 | 20.194742 | 73.080901 | 2020-10-05 04:23:33 | Dadra and Nagar Haveli and Daman and Diu, India | ||
1822731 | 1822731 | 2020-10-04 | India | Delhi | 290613 | 5510 | 260350 | 24753 | 28.646519 | 77.10898 | 2020-10-05 04:23:33 | Delhi, India | ||
1822732 | 1822732 | 2020-10-04 | India | Goa | 35328 | 456 | 30033 | 4839 | 15.359682 | 74.057396 | 2020-10-05 04:23:33 | Goa, India | ||
1822733 | 1822733 | 2020-10-04 | India | Gujarat | 142538 | 3496 | 122233 | 16809 | 22.694884 | 71.590923 | 2020-10-05 04:23:33 | Gujarat, India | ||
1822734 | 1822734 | 2020-10-04 | India | Haryana | 133878 | 1470 | 120341 | 12067 | 29.20004 | 76.332824 | 2020-10-05 04:23:33 | Haryana, India | ||
1822735 | 1822735 | 2020-10-04 | India | Himachal Pradesh | 15851 | 217 | 12361 | 3273 | 31.927213 | 77.233081 | 2020-10-05 04:23:33 | Himachal Pradesh, India | ||
1822736 | 1822736 | 2020-10-04 | India | Jammu and Kashmir | 79106 | 1242 | 62404 | 15460 | 33.75943 | 76.612638 | 2020-10-05 04:23:33 | Jammu and Kashmir, India | ||
1822737 | 1822737 | 2020-10-04 | India | Jharkhand | 87210 | 743 | 75531 | 10936 | 23.654536 | 85.557631 | 2020-10-05 04:23:33 | Jharkhand, India | ||
1822738 | 1822738 | 2020-10-04 | India | Karnataka | 640661 | 9286 | 515782 | 115593 | 14.70518 | 76.166436 | 2020-10-05 04:23:33 | Karnataka, India | ||
1822739 | 1822739 | 2020-10-04 | India | Kerala | 229886 | 836 | 144471 | 84579 | 10.450898 | 76.405749 | 2020-10-05 04:23:33 | Kerala, India | ||
1822740 | 1822740 | 2020-10-04 | India | Ladakh | 4521 | 61 | 3354 | 1106 | 34.1526 | 77.5771 | 2020-10-05 04:23:33 | Ladakh, India | ||
1822741 | 1822741 | 2020-10-04 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-10-05 04:23:33 | Lakshadweep, India | ||
1822742 | 1822742 | 2020-10-04 | India | Madhya Pradesh | 135638 | 2434 | 113832 | 19372 | 23.541513 | 78.289633 | 2020-10-05 04:23:33 | Madhya Pradesh, India | ||
1822743 | 1822743 | 2020-10-04 | India | Maharashtra | 1443409 | 38084 | 1149603 | 255722 | 19.449759 | 76.108221 | 2020-10-05 04:23:33 | Maharashtra, India | ||
1822744 | 1822744 | 2020-10-04 | India | Manipur | 11855 | 74 | 9205 | 2576 | 24.738975 | 93.882541 | 2020-10-05 04:23:33 | Manipur, India | ||
1822745 | 1822745 | 2020-10-04 | India | Meghalaya | 6656 | 54 | 4393 | 2209 | 25.536934 | 91.278882 | 2020-10-05 04:23:33 | Meghalaya, India | ||
1822746 | 1822746 | 2020-10-04 | India | Mizoram | 2120 | 0 | 1807 | 313 | 23.309381 | 92.83822 | 2020-10-05 04:23:33 | Mizoram, India | ||
1822747 | 1822747 | 2020-10-04 | India | Nagaland | 6552 | 17 | 5309 | 1226 | 26.06702 | 94.470302 | 2020-10-05 04:23:33 | Nagaland, India | ||
1822748 | 1822748 | 2020-10-04 | India | Odisha | 232713 | 907 | 202302 | 29504 | 20.505428 | 84.418059 | 2020-10-05 04:23:33 | Odisha, India | ||
1822749 | 1822749 | 2020-10-04 | India | Puducherry | 29089 | 539 | 23763 | 4787 | 11.882658 | 78.86498 | 2020-10-05 04:23:33 | Puducherry, India | ||
1822750 | 1822750 | 2020-10-04 | India | Punjab | 118157 | 3603 | 100977 | 13577 | 30.841465000000003 | 75.40879 | 2020-10-05 04:23:33 | Punjab, India | ||
1822751 | 1822751 | 2020-10-04 | India | Rajasthan | 144030 | 1545 | 121331 | 21154 | 26.583423 | 73.847973 | 2020-10-05 04:23:33 | Rajasthan, India | ||
1822752 | 1822752 | 2020-10-04 | India | Sikkim | 3174 | 45 | 2480 | 649 | 27.571671 | 88.472712 | 2020-10-05 04:23:33 | Sikkim, India | ||
1822753 | 1822753 | 2020-10-04 | India | Tamil Nadu | 619996 | 9784 | 564092 | 46120 | 11.006091 | 78.400624 | 2020-10-05 04:23:33 | Tamil Nadu, India | ||
1822754 | 1822754 | 2020-10-04 | India | Telangana | 200611 | 1171 | 172388 | 27052 | 18.1124 | 79.0193 | 2020-10-05 04:23:33 | Telangana, India | ||
1822755 | 1822755 | 2020-10-04 | India | Tripura | 27033 | 299 | 21876 | 4858 | 23.746783 | 91.743565 | 2020-10-05 04:23:33 | Tripura, India | ||
1822756 | 1822756 | 2020-10-04 | India | Unknown | 0 | 0 | 0 | 0 | 2020-10-05 04:23:33 | Unknown, India | ||||
1822757 | 1822757 | 2020-10-04 | India | Uttar Pradesh | 414466 | 6029 | 362052 | 46385 | 26.925425 | 80.560982 | 2020-10-05 04:23:33 | Uttar Pradesh, India | ||
1822758 | 1822758 | 2020-10-04 | India | Uttarakhand | 51481 | 652 | 41740 | 9089 | 30.156447 | 79.197608 | 2020-10-05 04:23:33 | Uttarakhand, India | ||
1822759 | 1822759 | 2020-10-04 | India | West Bengal | 270331 | 5194 | 237698 | 27439 | 23.814082 | 87.979803 | 2020-10-05 04:23:33 | 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]);