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 = "2021-05-30 04:20:55" sorted by day descending
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Suggested facets: day (date), 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
50727 | 50727 | 2021-05-29 | India | Andaman and Nicobar Islands | 6964 | 113 | 6660 | 191 | 11.225999 | 92.968178 | 2021-05-30 04:20:55 | Andaman and Nicobar Islands, India | ||
50728 | 50728 | 2021-05-29 | India | Andhra Pradesh | 1671742 | 10738 | 1487382 | 173622 | 15.9129 | 79.74 | 2021-05-30 04:20:55 | Andhra Pradesh, India | ||
50729 | 50729 | 2021-05-29 | India | Arunachal Pradesh | 26778 | 114 | 22746 | 3918 | 27.768456 | 96.384277 | 2021-05-30 04:20:55 | Arunachal Pradesh, India | ||
50730 | 50730 | 2021-05-29 | India | Assam | 403623 | 3245 | 344083 | 56295 | 26.357149 | 92.830441 | 2021-05-30 04:20:55 | Assam, India | ||
50731 | 50731 | 2021-05-29 | India | Bihar | 704173 | 5052 | 678036 | 21085 | 25.679658 | 85.60484 | 2021-05-30 04:20:55 | Bihar, India | ||
50732 | 50732 | 2021-05-29 | India | Chandigarh | 59740 | 740 | 56534 | 2466 | 30.733839 | 76.76827800000002 | 2021-05-30 04:20:55 | Chandigarh, India | ||
50733 | 50733 | 2021-05-29 | India | Chhattisgarh | 967645 | 12979 | 911752 | 42914 | 21.264705 | 82.035366 | 2021-05-30 04:20:55 | Chhattisgarh, India | ||
50734 | 50734 | 2021-05-29 | India | Dadra and Nagar Haveli and Daman and Diu | 10214 | 4 | 9877 | 333 | 20.194742 | 73.080901 | 2021-05-30 04:20:55 | Dadra and Nagar Haveli and Daman and Diu, India | ||
50735 | 50735 | 2021-05-29 | India | Delhi | 1424646 | 24073 | 1387538 | 13035 | 28.646519 | 77.10898 | 2021-05-30 04:20:55 | Delhi, India | ||
50736 | 50736 | 2021-05-29 | India | Goa | 154419 | 2597 | 136766 | 15056 | 15.359682 | 74.057396 | 2021-05-30 04:20:55 | Goa, India | ||
50737 | 50737 | 2021-05-29 | India | Gujarat | 805617 | 9790 | 757124 | 38703 | 22.694884 | 71.590923 | 2021-05-30 04:20:55 | Gujarat, India | ||
50738 | 50738 | 2021-05-29 | India | Haryana | 753937 | 8132 | 722711 | 23094 | 29.20004 | 76.332824 | 2021-05-30 04:20:55 | Haryana, India | ||
50739 | 50739 | 2021-05-29 | India | Himachal Pradesh | 188604 | 3086 | 168529 | 16989 | 31.927213 | 77.233081 | 2021-05-30 04:20:55 | Himachal Pradesh, India | ||
50740 | 50740 | 2021-05-29 | India | Jammu and Kashmir | 286684 | 3841 | 243588 | 39255 | 33.75943 | 76.612638 | 2021-05-30 04:20:55 | Jammu and Kashmir, India | ||
50741 | 50741 | 2021-05-29 | India | Jharkhand | 336240 | 4958 | 320336 | 10946 | 23.654536 | 85.557631 | 2021-05-30 04:20:55 | Jharkhand, India | ||
50742 | 50742 | 2021-05-29 | India | Karnataka | 2567449 | 28298 | 2189064 | 350087 | 14.70518 | 76.166436 | 2021-05-30 04:20:55 | Karnataka, India | ||
50743 | 50743 | 2021-05-29 | India | Kerala | 2494385 | 8455 | 2252505 | 233425 | 10.450898 | 76.405749 | 2021-05-30 04:20:55 | Kerala, India | ||
50744 | 50744 | 2021-05-29 | India | Ladakh | 18448 | 187 | 16658 | 1603 | 34.1526 | 77.5771 | 2021-05-30 04:20:55 | Ladakh, India | ||
50745 | 50745 | 2021-05-29 | India | Lakshadweep | 7631 | 31 | 5622 | 1978 | 13.6999972 | 72.18333259999999 | 2021-05-30 04:20:55 | Lakshadweep, India | ||
50746 | 50746 | 2021-05-29 | India | Madhya Pradesh | 777349 | 7959 | 738491 | 30899 | 23.541513 | 78.289633 | 2021-05-30 04:20:55 | Madhya Pradesh, India | ||
50747 | 50747 | 2021-05-29 | India | Maharashtra | 5713215 | 94030 | 5339838 | 279347 | 19.449759 | 76.108221 | 2021-05-30 04:20:55 | Maharashtra, India | ||
50748 | 50748 | 2021-05-29 | India | Manipur | 48850 | 776 | 40044 | 8030 | 24.738975 | 93.882541 | 2021-05-30 04:20:55 | Manipur, India | ||
50749 | 50749 | 2021-05-29 | India | Meghalaya | 34448 | 551 | 26156 | 7741 | 25.536934 | 91.278882 | 2021-05-30 04:20:55 | Meghalaya, India | ||
50750 | 50750 | 2021-05-29 | India | Mizoram | 11988 | 36 | 8863 | 3089 | 23.309381 | 92.83822 | 2021-05-30 04:20:55 | Mizoram, India | ||
50751 | 50751 | 2021-05-29 | India | Nagaland | 21371 | 350 | 16039 | 4982 | 26.06702 | 94.470302 | 2021-05-30 04:20:55 | Nagaland, India | ||
50752 | 50752 | 2021-05-29 | India | Odisha | 747143 | 2686 | 658646 | 85811 | 20.505428 | 84.418059 | 2021-05-30 04:20:55 | Odisha, India | ||
50753 | 50753 | 2021-05-29 | India | Puducherry | 102896 | 1497 | 88246 | 13153 | 11.882658 | 78.86498 | 2021-05-30 04:20:55 | Puducherry, India | ||
50754 | 50754 | 2021-05-29 | India | Punjab | 562831 | 14305 | 506349 | 42177 | 30.841465000000003 | 75.40879 | 2021-05-30 04:20:55 | Punjab, India | ||
50755 | 50755 | 2021-05-29 | India | Rajasthan | 936162 | 8251 | 871283 | 56628 | 26.583423 | 73.847973 | 2021-05-30 04:20:55 | Rajasthan, India | ||
50756 | 50756 | 2021-05-29 | India | Sikkim | 14907 | 247 | 10829 | 3831 | 27.571671 | 88.472712 | 2021-05-30 04:20:55 | Sikkim, India | ||
50757 | 50757 | 2021-05-29 | India | Tamil Nadu | 2039716 | 23261 | 1706298 | 310157 | 11.006091 | 78.400624 | 2021-05-30 04:20:55 | Tamil Nadu, India | ||
50758 | 50758 | 2021-05-29 | India | Telangana | 574026 | 3247 | 533862 | 36917 | 18.1124 | 79.0193 | 2021-05-30 04:20:55 | Telangana, India | ||
50759 | 50759 | 2021-05-29 | India | Tripura | 50739 | 507 | 43190 | 7042 | 23.746783 | 91.743565 | 2021-05-30 04:20:55 | Tripura, India | ||
50760 | 50760 | 2021-05-29 | India | Unknown | 0 | 0 | 0 | 0 | 2021-05-30 04:20:55 | Unknown, India | ||||
50761 | 50761 | 2021-05-29 | India | Uttar Pradesh | 1688152 | 20208 | 1621743 | 46201 | 26.925425 | 80.560982 | 2021-05-30 04:20:55 | Uttar Pradesh, India | ||
50762 | 50762 | 2021-05-29 | India | Uttarakhand | 327112 | 6360 | 289642 | 31110 | 30.156447 | 79.197608 | 2021-05-30 04:20:55 | Uttarakhand, India | ||
50763 | 50763 | 2021-05-29 | India | West Bengal | 1354956 | 15268 | 1237290 | 102398 | 23.814082 | 87.979803 | 2021-05-30 04:20:55 | 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]);