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 2020-10-10 sorted by day descending
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Suggested facets: day (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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2601970 | 2601970 | 2020-10-10 | India | Andaman and Nicobar Islands | 3992 | 55 | 3744 | 193 | 11.225999 | 92.968178 | 2020-10-11 04:23:46 | Andaman and Nicobar Islands, India | ||
2601971 | 2601971 | 2020-10-10 | India | Andhra Pradesh | 750517 | 6194 | 697699 | 46624 | 15.9129 | 79.74 | 2020-10-11 04:23:46 | Andhra Pradesh, India | ||
2601972 | 2601972 | 2020-10-10 | India | Arunachal Pradesh | 11998 | 23 | 9035 | 2940 | 27.768456 | 96.384277 | 2020-10-11 04:23:46 | Arunachal Pradesh, India | ||
2601973 | 2601973 | 2020-10-10 | India | Assam | 193387 | 811 | 163355 | 29221 | 26.357149 | 92.830441 | 2020-10-11 04:23:46 | Assam, India | ||
2601974 | 2601974 | 2020-10-10 | India | Bihar | 195499 | 944 | 183390 | 11165 | 25.679658 | 85.60484 | 2020-10-11 04:23:46 | Bihar, India | ||
2601975 | 2601975 | 2020-10-10 | India | Chandigarh | 13081 | 190 | 11662 | 1229 | 30.733839 | 76.76827800000002 | 2020-10-11 04:23:46 | Chandigarh, India | ||
2601976 | 2601976 | 2020-10-10 | India | Chhattisgarh | 140258 | 1235 | 111654 | 27369 | 21.264705 | 82.035366 | 2020-10-11 04:23:46 | Chhattisgarh, India | ||
2601977 | 2601977 | 2020-10-10 | India | Dadra and Nagar Haveli and Daman and Diu | 3152 | 2 | 3050 | 100 | 20.194742 | 73.080901 | 2020-10-11 04:23:46 | Dadra and Nagar Haveli and Daman and Diu, India | ||
2601978 | 2601978 | 2020-10-10 | India | Delhi | 306559 | 5740 | 278812 | 22007 | 28.646519 | 77.10898 | 2020-10-11 04:23:46 | Delhi, India | ||
2601979 | 2601979 | 2020-10-10 | India | Goa | 37934 | 499 | 32777 | 4658 | 15.359682 | 74.057396 | 2020-10-11 04:23:46 | Goa, India | ||
2601980 | 2601980 | 2020-10-10 | India | Gujarat | 150253 | 3557 | 130760 | 15936 | 22.694884 | 71.590923 | 2020-10-11 04:23:46 | Gujarat, India | ||
2601981 | 2601981 | 2020-10-10 | India | Haryana | 141090 | 1572 | 128841 | 10677 | 29.20004 | 76.332824 | 2020-10-11 04:23:46 | Haryana, India | ||
2601982 | 2601982 | 2020-10-10 | India | Himachal Pradesh | 17244 | 248 | 14278 | 2718 | 31.927213 | 77.233081 | 2020-10-11 04:23:46 | Himachal Pradesh, India | ||
2601983 | 2601983 | 2020-10-10 | India | Jammu and Kashmir | 83064 | 1313 | 70955 | 10796 | 33.75943 | 76.612638 | 2020-10-11 04:23:46 | Jammu and Kashmir, India | ||
2601984 | 2601984 | 2020-10-10 | India | Jharkhand | 91951 | 784 | 82805 | 8362 | 23.654536 | 85.557631 | 2020-10-11 04:23:46 | Jharkhand, India | ||
2601985 | 2601985 | 2020-10-10 | India | Karnataka | 700786 | 9891 | 569947 | 120948 | 14.70518 | 76.166436 | 2020-10-11 04:23:46 | Karnataka, India | ||
2601986 | 2601986 | 2020-10-10 | India | Kerala | 279855 | 978 | 182874 | 96003 | 10.450898 | 76.405749 | 2020-10-11 04:23:46 | Kerala, India | ||
2601987 | 2601987 | 2020-10-10 | India | Ladakh | 5059 | 64 | 3973 | 1022 | 34.1526 | 77.5771 | 2020-10-11 04:23:46 | Ladakh, India | ||
2601988 | 2601988 | 2020-10-10 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-10-11 04:23:46 | Lakshadweep, India | ||
2601989 | 2601989 | 2020-10-10 | India | Madhya Pradesh | 145245 | 2599 | 127034 | 15612 | 23.541513 | 78.289633 | 2020-10-11 04:23:46 | Madhya Pradesh, India | ||
2601990 | 2601990 | 2020-10-10 | India | Maharashtra | 1517434 | 40040 | 1255779 | 221615 | 19.449759 | 76.108221 | 2020-10-11 04:23:46 | Maharashtra, India | ||
2601991 | 2601991 | 2020-10-10 | India | Manipur | 13092 | 88 | 10396 | 2608 | 24.738975 | 93.882541 | 2020-10-11 04:23:46 | Manipur, India | ||
2601992 | 2601992 | 2020-10-10 | India | Meghalaya | 7544 | 62 | 5045 | 2437 | 25.536934 | 91.278882 | 2020-10-11 04:23:46 | Meghalaya, India | ||
2601993 | 2601993 | 2020-10-10 | India | Mizoram | 2175 | 0 | 1984 | 191 | 23.309381 | 92.83822 | 2020-10-11 04:23:46 | Mizoram, India | ||
2601994 | 2601994 | 2020-10-10 | India | Nagaland | 6949 | 17 | 5694 | 1238 | 26.06702 | 94.470302 | 2020-10-11 04:23:46 | Nagaland, India | ||
2601995 | 2601995 | 2020-10-10 | India | Odisha | 249693 | 1006 | 224273 | 24414 | 20.505428 | 84.418059 | 2020-10-11 04:23:46 | Odisha, India | ||
2601996 | 2601996 | 2020-10-10 | India | Puducherry | 31233 | 559 | 25955 | 4719 | 11.882658 | 78.86498 | 2020-10-11 04:23:46 | Puducherry, India | ||
2601997 | 2601997 | 2020-10-10 | India | Punjab | 123317 | 3798 | 109767 | 9752 | 30.841465000000003 | 75.40879 | 2020-10-11 04:23:46 | Punjab, India | ||
2601998 | 2601998 | 2020-10-10 | India | Rajasthan | 156908 | 1636 | 133918 | 21354 | 26.583423 | 73.847973 | 2020-10-11 04:23:46 | Rajasthan, India | ||
2601999 | 2601999 | 2020-10-10 | India | Sikkim | 3321 | 55 | 2816 | 450 | 27.571671 | 88.472712 | 2020-10-11 04:23:46 | Sikkim, India | ||
2602000 | 2602000 | 2020-10-10 | India | Tamil Nadu | 651370 | 10187 | 597033 | 44150 | 11.006091 | 78.400624 | 2020-10-11 04:23:46 | Tamil Nadu, India | ||
2602001 | 2602001 | 2020-10-10 | India | Telangana | 212063 | 1222 | 185128 | 25713 | 18.1124 | 79.0193 | 2020-10-11 04:23:46 | Telangana, India | ||
2602002 | 2602002 | 2020-10-10 | India | Tripura | 28352 | 315 | 24086 | 3951 | 23.746783 | 91.743565 | 2020-10-11 04:23:46 | Tripura, India | ||
2602003 | 2602003 | 2020-10-10 | India | Unknown | 0 | 0 | 0 | 0 | 2020-10-11 04:23:46 | Unknown, India | ||||
2602004 | 2602004 | 2020-10-10 | India | Uttar Pradesh | 433712 | 6353 | 387149 | 40210 | 26.925425 | 80.560982 | 2020-10-11 04:23:46 | Uttar Pradesh, India | ||
2602005 | 2602005 | 2020-10-10 | India | Uttarakhand | 54525 | 734 | 46470 | 7321 | 30.156447 | 79.197608 | 2020-10-11 04:23:46 | Uttarakhand, India | ||
2602006 | 2602006 | 2020-10-10 | India | West Bengal | 291194 | 5563 | 255838 | 29793 | 23.814082 | 87.979803 | 2020-10-11 04:23:46 | 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]);