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 2020-10-16 sorted by day descending
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2856783 | 2856783 | 2020-10-16 | India | Andaman and Nicobar Islands | 4072 | 56 | 3831 | 185 | 11.225999 | 92.968178 | 2020-10-17 04:24:12 | Andaman and Nicobar Islands, India | ||
2856784 | 2856784 | 2020-10-16 | India | Andhra Pradesh | 775470 | 6382 | 730109 | 38979 | 15.9129 | 79.74 | 2020-10-17 04:24:12 | Andhra Pradesh, India | ||
2856785 | 2856785 | 2020-10-16 | India | Arunachal Pradesh | 13169 | 30 | 10071 | 3068 | 27.768456 | 96.384277 | 2020-10-17 04:24:12 | Arunachal Pradesh, India | ||
2856786 | 2856786 | 2020-10-16 | India | Assam | 199749 | 853 | 170265 | 28631 | 26.357149 | 92.830441 | 2020-10-17 04:24:12 | Assam, India | ||
2856787 | 2856787 | 2020-10-16 | India | Bihar | 202290 | 981 | 190425 | 10884 | 25.679658 | 85.60484 | 2020-10-17 04:24:12 | Bihar, India | ||
2856788 | 2856788 | 2020-10-16 | India | Chandigarh | 13532 | 206 | 12352 | 974 | 30.733839 | 76.76827800000002 | 2020-10-17 04:24:12 | Chandigarh, India | ||
2856789 | 2856789 | 2020-10-16 | India | Chhattisgarh | 155987 | 1425 | 126869 | 27693 | 21.264705 | 82.035366 | 2020-10-17 04:24:12 | Chhattisgarh, India | ||
2856790 | 2856790 | 2020-10-16 | India | Dadra and Nagar Haveli and Daman and Diu | 3177 | 2 | 3109 | 66 | 20.194742 | 73.080901 | 2020-10-17 04:24:12 | Dadra and Nagar Haveli and Daman and Diu, India | ||
2856791 | 2856791 | 2020-10-16 | India | Delhi | 324459 | 5946 | 295699 | 22814 | 28.646519 | 77.10898 | 2020-10-17 04:24:12 | Delhi, India | ||
2856792 | 2856792 | 2020-10-16 | India | Goa | 40091 | 531 | 35610 | 3950 | 15.359682 | 74.057396 | 2020-10-17 04:24:12 | Goa, India | ||
2856793 | 2856793 | 2020-10-16 | India | Gujarat | 157312 | 3617 | 139012 | 14683 | 22.694884 | 71.590923 | 2020-10-17 04:24:12 | Gujarat, India | ||
2856794 | 2856794 | 2020-10-16 | India | Haryana | 147933 | 1634 | 135858 | 10441 | 29.20004 | 76.332824 | 2020-10-17 04:24:12 | Haryana, India | ||
2856795 | 2856795 | 2020-10-16 | India | Himachal Pradesh | 18522 | 262 | 15618 | 2642 | 31.927213 | 77.233081 | 2020-10-17 04:24:12 | Himachal Pradesh, India | ||
2856796 | 2856796 | 2020-10-16 | India | Jammu and Kashmir | 86754 | 1366 | 76479 | 8909 | 33.75943 | 76.612638 | 2020-10-17 04:24:12 | Jammu and Kashmir, India | ||
2856797 | 2856797 | 2020-10-16 | India | Jharkhand | 95425 | 824 | 88058 | 6543 | 23.654536 | 85.557631 | 2020-10-17 04:24:12 | Jharkhand, India | ||
2856798 | 2856798 | 2020-10-16 | India | Karnataka | 751390 | 10356 | 628588 | 112446 | 14.70518 | 76.166436 | 2020-10-17 04:24:12 | Karnataka, India | ||
2856799 | 2856799 | 2020-10-16 | India | Kerala | 325212 | 1113 | 228998 | 95101 | 10.450898 | 76.405749 | 2020-10-17 04:24:12 | Kerala, India | ||
2856800 | 2856800 | 2020-10-16 | India | Ladakh | 5441 | 65 | 4461 | 915 | 34.1526 | 77.5771 | 2020-10-17 04:24:12 | Ladakh, India | ||
2856801 | 2856801 | 2020-10-16 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-10-17 04:24:12 | Lakshadweep, India | ||
2856802 | 2856802 | 2020-10-16 | India | Madhya Pradesh | 157936 | 2735 | 141273 | 13928 | 23.541513 | 78.289633 | 2020-10-17 04:24:12 | Madhya Pradesh, India | ||
2856803 | 2856803 | 2020-10-16 | India | Maharashtra | 1576062 | 41502 | 1344368 | 190192 | 19.449759 | 76.108221 | 2020-10-17 04:24:12 | Maharashtra, India | ||
2856804 | 2856804 | 2020-10-16 | India | Manipur | 14715 | 109 | 11245 | 3361 | 24.738975 | 93.882541 | 2020-10-17 04:24:12 | Manipur, India | ||
2856805 | 2856805 | 2020-10-16 | India | Meghalaya | 8303 | 75 | 5735 | 2493 | 25.536934 | 91.278882 | 2020-10-17 04:24:12 | Meghalaya, India | ||
2856806 | 2856806 | 2020-10-16 | India | Mizoram | 2245 | 0 | 2133 | 112 | 23.309381 | 92.83822 | 2020-10-17 04:24:12 | Mizoram, India | ||
2856807 | 2856807 | 2020-10-16 | India | Nagaland | 7604 | 22 | 6111 | 1471 | 26.06702 | 94.470302 | 2020-10-17 04:24:12 | Nagaland, India | ||
2856808 | 2856808 | 2020-10-16 | India | Odisha | 264149 | 1104 | 241385 | 21660 | 20.505428 | 84.418059 | 2020-10-17 04:24:12 | Odisha, India | ||
2856809 | 2856809 | 2020-10-16 | India | Puducherry | 32766 | 571 | 27671 | 4524 | 11.882658 | 78.86498 | 2020-10-17 04:24:12 | Puducherry, India | ||
2856810 | 2856810 | 2020-10-16 | India | Punjab | 126737 | 3980 | 116165 | 6592 | 30.841465000000003 | 75.40879 | 2020-10-17 04:24:12 | Punjab, India | ||
2856811 | 2856811 | 2020-10-16 | India | Rajasthan | 169289 | 1723 | 146185 | 21381 | 26.583423 | 73.847973 | 2020-10-17 04:24:12 | Rajasthan, India | ||
2856812 | 2856812 | 2020-10-16 | India | Sikkim | 3531 | 59 | 3177 | 295 | 27.571671 | 88.472712 | 2020-10-17 04:24:12 | Sikkim, India | ||
2856813 | 2856813 | 2020-10-16 | India | Tamil Nadu | 679191 | 10529 | 627703 | 40959 | 11.006091 | 78.400624 | 2020-10-17 04:24:12 | Tamil Nadu, India | ||
2856814 | 2856814 | 2020-10-16 | India | Telangana | 220675 | 1265 | 196636 | 22774 | 18.1124 | 79.0193 | 2020-10-17 04:24:12 | Telangana, India | ||
2856815 | 2856815 | 2020-10-16 | India | Tripura | 29327 | 326 | 26035 | 2966 | 23.746783 | 91.743565 | 2020-10-17 04:24:12 | Tripura, India | ||
2856816 | 2856816 | 2020-10-16 | India | Unknown | 0 | 0 | 0 | 0 | 2020-10-17 04:24:12 | Unknown, India | ||||
2856817 | 2856817 | 2020-10-16 | India | Uttar Pradesh | 449935 | 6589 | 408083 | 35263 | 26.925425 | 80.560982 | 2020-10-17 04:24:12 | Uttar Pradesh, India | ||
2856818 | 2856818 | 2020-10-16 | India | Uttarakhand | 57042 | 829 | 50521 | 5692 | 30.156447 | 79.197608 | 2020-10-17 04:24:12 | Uttarakhand, India | ||
2856819 | 2856819 | 2020-10-16 | India | West Bengal | 313188 | 5931 | 274757 | 32500 | 23.814082 | 87.979803 | 2020-10-17 04:24:12 | 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]);