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 2020-10-14 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3781839 | 3781839 | 2020-10-13 | India | Andaman and Nicobar Islands | 4036 | 55 | 3782 | 199 | 11.225999 | 92.968178 | 2020-10-14 04:24:05 | Andaman and Nicobar Islands, India | ||
3781840 | 3781840 | 2020-10-13 | India | Andhra Pradesh | 763573 | 6291 | 714427 | 42855 | 15.9129 | 79.74 | 2020-10-14 04:24:05 | Andhra Pradesh, India | ||
3781841 | 3781841 | 2020-10-13 | India | Arunachal Pradesh | 12561 | 28 | 9573 | 2960 | 27.768456 | 96.384277 | 2020-10-14 04:24:05 | Arunachal Pradesh, India | ||
3781842 | 3781842 | 2020-10-13 | India | Assam | 196786 | 830 | 167059 | 28897 | 26.357149 | 92.830441 | 2020-10-14 04:24:05 | Assam, India | ||
3781843 | 3781843 | 2020-10-13 | India | Bihar | 198855 | 961 | 187059 | 10835 | 25.679658 | 85.60484 | 2020-10-14 04:24:05 | Bihar, India | ||
3781844 | 3781844 | 2020-10-13 | India | Chandigarh | 13331 | 197 | 12007 | 1127 | 30.733839 | 76.76827800000002 | 2020-10-14 04:24:05 | Chandigarh, India | ||
3781845 | 3781845 | 2020-10-13 | India | Chhattisgarh | 147866 | 1306 | 119352 | 27208 | 21.264705 | 82.035366 | 2020-10-14 04:24:05 | Chhattisgarh, India | ||
3781846 | 3781846 | 2020-10-13 | India | Dadra and Nagar Haveli and Daman and Diu | 3168 | 2 | 3081 | 85 | 20.194742 | 73.080901 | 2020-10-14 04:24:05 | Dadra and Nagar Haveli and Daman and Diu, India | ||
3781847 | 3781847 | 2020-10-13 | India | Delhi | 314224 | 5854 | 286880 | 21490 | 28.646519 | 77.10898 | 2020-10-14 04:24:05 | Delhi, India | ||
3781848 | 3781848 | 2020-10-13 | India | Goa | 39082 | 514 | 34252 | 4316 | 15.359682 | 74.057396 | 2020-10-14 04:24:05 | Goa, India | ||
3781849 | 3781849 | 2020-10-13 | India | Gujarat | 153761 | 3584 | 134990 | 15187 | 22.694884 | 71.590923 | 2020-10-14 04:24:05 | Gujarat, India | ||
3781850 | 3781850 | 2020-10-13 | India | Haryana | 144302 | 1601 | 132382 | 10319 | 29.20004 | 76.332824 | 2020-10-14 04:24:05 | Haryana, India | ||
3781851 | 3781851 | 2020-10-13 | India | Himachal Pradesh | 17762 | 254 | 15001 | 2507 | 31.927213 | 77.233081 | 2020-10-14 04:24:05 | Himachal Pradesh, India | ||
3781852 | 3781852 | 2020-10-13 | India | Jammu and Kashmir | 84708 | 1340 | 73502 | 9866 | 33.75943 | 76.612638 | 2020-10-14 04:24:05 | Jammu and Kashmir, India | ||
3781853 | 3781853 | 2020-10-13 | India | Jharkhand | 93736 | 805 | 85314 | 7617 | 23.654536 | 85.557631 | 2020-10-14 04:24:05 | Jharkhand, India | ||
3781854 | 3781854 | 2020-10-13 | India | Karnataka | 726106 | 10123 | 602505 | 113478 | 14.70518 | 76.166436 | 2020-10-14 04:24:05 | Karnataka, India | ||
3781855 | 3781855 | 2020-10-13 | India | Kerala | 303896 | 1046 | 207357 | 95493 | 10.450898 | 76.405749 | 2020-10-14 04:24:05 | Kerala, India | ||
3781856 | 3781856 | 2020-10-13 | India | Ladakh | 5238 | 64 | 4205 | 969 | 34.1526 | 77.5771 | 2020-10-14 04:24:05 | Ladakh, India | ||
3781857 | 3781857 | 2020-10-13 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-10-14 04:24:05 | Lakshadweep, India | ||
3781858 | 3781858 | 2020-10-13 | India | Madhya Pradesh | 149761 | 2671 | 132429 | 14661 | 23.541513 | 78.289633 | 2020-10-14 04:24:05 | Madhya Pradesh, India | ||
3781859 | 3781859 | 2020-10-13 | India | Maharashtra | 1543837 | 40701 | 1297252 | 205884 | 19.449759 | 76.108221 | 2020-10-14 04:24:05 | Maharashtra, India | ||
3781860 | 3781860 | 2020-10-13 | India | Manipur | 13793 | 97 | 10829 | 2867 | 24.738975 | 93.882541 | 2020-10-14 04:24:05 | Manipur, India | ||
3781861 | 3781861 | 2020-10-13 | India | Meghalaya | 7838 | 65 | 5406 | 2367 | 25.536934 | 91.278882 | 2020-10-14 04:24:05 | Meghalaya, India | ||
3781862 | 3781862 | 2020-10-13 | India | Mizoram | 2212 | 0 | 2093 | 119 | 23.309381 | 92.83822 | 2020-10-14 04:24:05 | Mizoram, India | ||
3781863 | 3781863 | 2020-10-13 | India | Nagaland | 7363 | 19 | 5831 | 1513 | 26.06702 | 94.470302 | 2020-10-14 04:24:05 | Nagaland, India | ||
3781864 | 3781864 | 2020-10-13 | India | Odisha | 256937 | 1057 | 232988 | 22892 | 20.505428 | 84.418059 | 2020-10-14 04:24:05 | Odisha, India | ||
3781865 | 3781865 | 2020-10-13 | India | Puducherry | 32004 | 567 | 26865 | 4572 | 11.882658 | 78.86498 | 2020-10-14 04:24:05 | Puducherry, India | ||
3781866 | 3781866 | 2020-10-13 | India | Punjab | 125211 | 3894 | 113105 | 8212 | 30.841465000000003 | 75.40879 | 2020-10-14 04:24:05 | Punjab, India | ||
3781867 | 3781867 | 2020-10-13 | India | Rajasthan | 163219 | 1679 | 139616 | 21924 | 26.583423 | 73.847973 | 2020-10-14 04:24:05 | Rajasthan, India | ||
3781868 | 3781868 | 2020-10-13 | India | Sikkim | 3417 | 59 | 3014 | 344 | 27.571671 | 88.472712 | 2020-10-14 04:24:05 | Sikkim, India | ||
3781869 | 3781869 | 2020-10-13 | India | Tamil Nadu | 665930 | 10371 | 612320 | 43239 | 11.006091 | 78.400624 | 2020-10-14 04:24:05 | Tamil Nadu, India | ||
3781870 | 3781870 | 2020-10-13 | India | Telangana | 216238 | 1241 | 191269 | 23728 | 18.1124 | 79.0193 | 2020-10-14 04:24:05 | Telangana, India | ||
3781871 | 3781871 | 2020-10-13 | India | Tripura | 28859 | 318 | 25041 | 3500 | 23.746783 | 91.743565 | 2020-10-14 04:24:05 | Tripura, India | ||
3781872 | 3781872 | 2020-10-13 | India | Unknown | 0 | 0 | 0 | 0 | 2020-10-14 04:24:05 | Unknown, India | ||||
3781873 | 3781873 | 2020-10-13 | India | Uttar Pradesh | 442118 | 6466 | 397570 | 38082 | 26.925425 | 80.560982 | 2020-10-14 04:24:05 | Uttar Pradesh, India | ||
3781874 | 3781874 | 2020-10-13 | India | Uttarakhand | 55641 | 782 | 48283 | 6576 | 30.156447 | 79.197608 | 2020-10-14 04:24:05 | Uttarakhand, India | ||
3781875 | 3781875 | 2020-10-13 | India | West Bengal | 302020 | 5744 | 265288 | 30988 | 23.814082 | 87.979803 | 2020-10-14 04:24:05 | 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]);