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 = "2021-03-29 04:28:35" 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1535864 | 1535864 | 2021-03-28 | India | Andaman and Nicobar Islands | 5046 | 62 | 4976 | 8 | 11.225999 | 92.968178 | 2021-03-29 04:28:35 | Andaman and Nicobar Islands, India | ||
1535865 | 1535865 | 2021-03-28 | India | Andhra Pradesh | 898815 | 7205 | 886216 | 5394 | 15.9129 | 79.74 | 2021-03-29 04:28:35 | Andhra Pradesh, India | ||
1535866 | 1535866 | 2021-03-28 | India | Arunachal Pradesh | 16845 | 56 | 16785 | 4 | 27.768456 | 96.384277 | 2021-03-29 04:28:35 | Arunachal Pradesh, India | ||
1535867 | 1535867 | 2021-03-28 | India | Assam | 218270 | 1104 | 215366 | 1800 | 26.357149 | 92.830441 | 2021-03-29 04:28:35 | Assam, India | ||
1535868 | 1535868 | 2021-03-28 | India | Bihar | 264955 | 1572 | 262036 | 1347 | 25.679658 | 85.60484 | 2021-03-29 04:28:35 | Bihar, India | ||
1535869 | 1535869 | 2021-03-28 | India | Chandigarh | 26194 | 377 | 23184 | 2633 | 30.733839 | 76.76827800000002 | 2021-03-29 04:28:35 | Chandigarh, India | ||
1535870 | 1535870 | 2021-03-28 | India | Chhattisgarh | 340093 | 4076 | 316778 | 19239 | 21.264705 | 82.035366 | 2021-03-29 04:28:35 | Chhattisgarh, India | ||
1535871 | 1535871 | 2021-03-28 | India | Dadra and Nagar Haveli and Daman and Diu | 3607 | 2 | 3458 | 147 | 20.194742 | 73.080901 | 2021-03-29 04:28:35 | Dadra and Nagar Haveli and Daman and Diu, India | ||
1535872 | 1535872 | 2021-03-28 | India | Delhi | 657715 | 11006 | 639164 | 7545 | 28.646519 | 77.10898 | 2021-03-29 04:28:35 | Delhi, India | ||
1535873 | 1535873 | 2021-03-28 | India | Goa | 57584 | 826 | 55354 | 1404 | 15.359682 | 74.057396 | 2021-03-29 04:28:35 | Goa, India | ||
1535874 | 1535874 | 2021-03-28 | India | Gujarat | 300866 | 4492 | 284846 | 11528 | 22.694884 | 71.590923 | 2021-03-29 04:28:35 | Gujarat, India | ||
1535875 | 1535875 | 2021-03-28 | India | Haryana | 287719 | 3141 | 275458 | 9120 | 29.20004 | 76.332824 | 2021-03-29 04:28:35 | Haryana, India | ||
1535876 | 1535876 | 2021-03-28 | India | Himachal Pradesh | 62660 | 1036 | 59146 | 2478 | 31.927213 | 77.233081 | 2021-03-29 04:28:35 | Himachal Pradesh, India | ||
1535877 | 1535877 | 2021-03-28 | India | Jammu and Kashmir | 129993 | 1989 | 126003 | 2001 | 33.75943 | 76.612638 | 2021-03-29 04:28:35 | Jammu and Kashmir, India | ||
1535878 | 1535878 | 2021-03-28 | India | Jharkhand | 122935 | 1110 | 119954 | 1871 | 23.654536 | 85.557631 | 2021-03-29 04:28:35 | Jharkhand, India | ||
1535879 | 1535879 | 2021-03-28 | India | Karnataka | 987012 | 12504 | 951452 | 23056 | 14.70518 | 76.166436 | 2021-03-29 04:28:35 | Karnataka, India | ||
1535880 | 1535880 | 2021-03-28 | India | Kerala | 1117993 | 4579 | 1088522 | 24892 | 10.450898 | 76.405749 | 2021-03-29 04:28:35 | Kerala, India | ||
1535881 | 1535881 | 2021-03-28 | India | Ladakh | 9974 | 130 | 9736 | 108 | 34.1526 | 77.5771 | 2021-03-29 04:28:35 | Ladakh, India | ||
1535882 | 1535882 | 2021-03-28 | India | Lakshadweep | 715 | 1 | 657 | 57 | 13.6999972 | 72.18333259999999 | 2021-03-29 04:28:35 | Lakshadweep, India | ||
1535883 | 1535883 | 2021-03-28 | India | Madhya Pradesh | 288683 | 3958 | 270540 | 14185 | 23.541513 | 78.289633 | 2021-03-29 04:28:35 | Madhya Pradesh, India | ||
1535884 | 1535884 | 2021-03-28 | India | Maharashtra | 2713875 | 54181 | 2332453 | 327241 | 19.449759 | 76.108221 | 2021-03-29 04:28:35 | Maharashtra, India | ||
1535885 | 1535885 | 2021-03-28 | India | Manipur | 29385 | 374 | 28948 | 63 | 24.738975 | 93.882541 | 2021-03-29 04:28:35 | Manipur, India | ||
1535886 | 1535886 | 2021-03-28 | India | Meghalaya | 14032 | 150 | 13856 | 26 | 25.536934 | 91.278882 | 2021-03-29 04:28:35 | Meghalaya, India | ||
1535887 | 1535887 | 2021-03-28 | India | Mizoram | 4465 | 11 | 4428 | 26 | 23.309381 | 92.83822 | 2021-03-29 04:28:35 | Mizoram, India | ||
1535888 | 1535888 | 2021-03-28 | India | Nagaland | 12230 | 92 | 12134 | 4 | 26.06702 | 94.470302 | 2021-03-29 04:28:35 | Nagaland, India | ||
1535889 | 1535889 | 2021-03-28 | India | Odisha | 340194 | 1920 | 336691 | 1583 | 20.505428 | 84.418059 | 2021-03-29 04:28:35 | Odisha, India | ||
1535890 | 1535890 | 2021-03-28 | India | Puducherry | 41101 | 680 | 39521 | 900 | 11.882658 | 78.86498 | 2021-03-29 04:28:35 | Puducherry, India | ||
1535891 | 1535891 | 2021-03-28 | India | Punjab | 231734 | 6690 | 201127 | 23917 | 30.841465000000003 | 75.40879 | 2021-03-29 04:28:35 | Punjab, India | ||
1535892 | 1535892 | 2021-03-28 | India | Rajasthan | 330676 | 2813 | 320704 | 7159 | 26.583423 | 73.847973 | 2021-03-29 04:28:35 | Rajasthan, India | ||
1535893 | 1535893 | 2021-03-28 | India | Sikkim | 6227 | 135 | 6048 | 44 | 27.571671 | 88.472712 | 2021-03-29 04:28:35 | Sikkim, India | ||
1535894 | 1535894 | 2021-03-28 | India | Tamil Nadu | 879473 | 12670 | 853733 | 13070 | 11.006091 | 78.400624 | 2021-03-29 04:28:35 | Tamil Nadu, India | ||
1535895 | 1535895 | 2021-03-28 | India | Telangana | 306742 | 1690 | 300469 | 4583 | 18.1124 | 79.0193 | 2021-03-29 04:28:35 | Telangana, India | ||
1535896 | 1535896 | 2021-03-28 | India | Tripura | 33491 | 392 | 33052 | 47 | 23.746783 | 91.743565 | 2021-03-29 04:28:35 | Tripura, India | ||
1535897 | 1535897 | 2021-03-28 | India | Unknown | 0 | 0 | 0 | 0 | 2021-03-29 04:28:35 | Unknown, India | ||||
1535898 | 1535898 | 2021-03-28 | India | Uttar Pradesh | 613798 | 8786 | 597320 | 7692 | 26.925425 | 80.560982 | 2021-03-29 04:28:35 | Uttar Pradesh, India | ||
1535899 | 1535899 | 2021-03-28 | India | Uttarakhand | 99881 | 1709 | 96512 | 1660 | 30.156447 | 79.197608 | 2021-03-29 04:28:35 | Uttarakhand, India | ||
1535900 | 1535900 | 2021-03-28 | India | West Bengal | 584666 | 10324 | 569366 | 4976 | 23.814082 | 87.979803 | 2021-03-29 04:28:35 | 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]);