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 = "2021-01-30 05:22:49" sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1897090 | 1897090 | 2021-01-29 | India | Andaman and Nicobar Islands | 4994 | 62 | 4927 | 5 | 11.225999 | 92.968178 | 2021-01-30 05:22:49 | Andaman and Nicobar Islands, India | ||
1897091 | 1897091 | 2021-01-29 | India | Andhra Pradesh | 887591 | 7152 | 879131 | 1308 | 15.9129 | 79.74 | 2021-01-30 05:22:49 | Andhra Pradesh, India | ||
1897092 | 1897092 | 2021-01-29 | India | Arunachal Pradesh | 16827 | 56 | 16758 | 13 | 27.768456 | 96.384277 | 2021-01-30 05:22:49 | Arunachal Pradesh, India | ||
1897093 | 1897093 | 2021-01-29 | India | Assam | 217091 | 1081 | 214054 | 1956 | 26.357149 | 92.830441 | 2021-01-30 05:22:49 | Assam, India | ||
1897094 | 1897094 | 2021-01-29 | India | Bihar | 259373 | 1495 | 256857 | 1021 | 25.679658 | 85.60484 | 2021-01-30 05:22:49 | Bihar, India | ||
1897095 | 1897095 | 2021-01-29 | India | Chandigarh | 20882 | 334 | 20389 | 159 | 30.733839 | 76.76827800000002 | 2021-01-30 05:22:49 | Chandigarh, India | ||
1897096 | 1897096 | 2021-01-29 | India | Chhattisgarh | 304689 | 3689 | 296642 | 4358 | 21.264705 | 82.035366 | 2021-01-30 05:22:49 | Chhattisgarh, India | ||
1897097 | 1897097 | 2021-01-29 | India | Dadra and Nagar Haveli and Daman and Diu | 3398 | 2 | 3388 | 8 | 20.194742 | 73.080901 | 2021-01-30 05:22:49 | Dadra and Nagar Haveli and Daman and Diu, India | ||
1897098 | 1897098 | 2021-01-29 | India | Delhi | 634773 | 10841 | 622381 | 1551 | 28.646519 | 77.10898 | 2021-01-30 05:22:49 | Delhi, India | ||
1897099 | 1897099 | 2021-01-29 | India | Goa | 53263 | 766 | 51755 | 742 | 15.359682 | 74.057396 | 2021-01-30 05:22:49 | Goa, India | ||
1897100 | 1897100 | 2021-01-29 | India | Gujarat | 260901 | 4385 | 252927 | 3589 | 22.694884 | 71.590923 | 2021-01-30 05:22:49 | Gujarat, India | ||
1897101 | 1897101 | 2021-01-29 | India | Haryana | 267708 | 3015 | 263501 | 1192 | 29.20004 | 76.332824 | 2021-01-30 05:22:49 | Haryana, India | ||
1897102 | 1897102 | 2021-01-29 | India | Himachal Pradesh | 57400 | 974 | 56083 | 343 | 31.927213 | 77.233081 | 2021-01-30 05:22:49 | Himachal Pradesh, India | ||
1897103 | 1897103 | 2021-01-29 | India | Jammu and Kashmir | 124373 | 1933 | 121617 | 823 | 33.75943 | 76.612638 | 2021-01-30 05:22:49 | Jammu and Kashmir, India | ||
1897104 | 1897104 | 2021-01-29 | India | Jharkhand | 118602 | 1070 | 116904 | 628 | 23.654536 | 85.557631 | 2021-01-30 05:22:49 | Jharkhand, India | ||
1897105 | 1897105 | 2021-01-29 | India | Karnataka | 938401 | 12211 | 920110 | 6080 | 14.70518 | 76.166436 | 2021-01-30 05:22:49 | Karnataka, India | ||
1897106 | 1897106 | 2021-01-29 | India | Kerala | 917630 | 3704 | 841444 | 72482 | 10.450898 | 76.405749 | 2021-01-30 05:22:49 | Kerala, India | ||
1897107 | 1897107 | 2021-01-29 | India | Ladakh | 9714 | 129 | 9517 | 68 | 34.1526 | 77.5771 | 2021-01-30 05:22:49 | Ladakh, India | ||
1897108 | 1897108 | 2021-01-29 | India | Lakshadweep | 69 | 0 | 0 | 69 | 13.6999972 | 72.18333259999999 | 2021-01-30 05:22:49 | Lakshadweep, India | ||
1897109 | 1897109 | 2021-01-29 | India | Madhya Pradesh | 254667 | 3805 | 248036 | 2826 | 23.541513 | 78.289633 | 2021-01-30 05:22:49 | Madhya Pradesh, India | ||
1897110 | 1897110 | 2021-01-29 | India | Maharashtra | 2021184 | 51000 | 1925800 | 44384 | 19.449759 | 76.108221 | 2021-01-30 05:22:49 | Maharashtra, India | ||
1897111 | 1897111 | 2021-01-29 | India | Manipur | 29037 | 371 | 28524 | 142 | 24.738975 | 93.882541 | 2021-01-30 05:22:49 | Manipur, India | ||
1897112 | 1897112 | 2021-01-29 | India | Meghalaya | 13753 | 146 | 13524 | 83 | 25.536934 | 91.278882 | 2021-01-30 05:22:49 | Meghalaya, India | ||
1897113 | 1897113 | 2021-01-29 | India | Mizoram | 4366 | 9 | 4318 | 39 | 23.309381 | 92.83822 | 2021-01-30 05:22:49 | Mizoram, India | ||
1897114 | 1897114 | 2021-01-29 | India | Nagaland | 12088 | 88 | 11947 | 53 | 26.06702 | 94.470302 | 2021-01-30 05:22:49 | Nagaland, India | ||
1897115 | 1897115 | 2021-01-29 | India | Odisha | 334850 | 1906 | 331824 | 1120 | 20.505428 | 84.418059 | 2021-01-30 05:22:49 | Odisha, India | ||
1897116 | 1897116 | 2021-01-29 | India | Puducherry | 39004 | 647 | 38062 | 295 | 11.882658 | 78.86498 | 2021-01-30 05:22:49 | Puducherry, India | ||
1897117 | 1897117 | 2021-01-29 | India | Punjab | 172860 | 5601 | 165145 | 2114 | 30.841465000000003 | 75.40879 | 2021-01-30 05:22:49 | Punjab, India | ||
1897118 | 1897118 | 2021-01-29 | India | Rajasthan | 317292 | 2765 | 312132 | 2395 | 26.583423 | 73.847973 | 2021-01-30 05:22:49 | Rajasthan, India | ||
1897119 | 1897119 | 2021-01-29 | India | Sikkim | 6085 | 133 | 5855 | 97 | 27.571671 | 88.472712 | 2021-01-30 05:22:49 | Sikkim, India | ||
1897120 | 1897120 | 2021-01-29 | India | Tamil Nadu | 837327 | 12345 | 820381 | 4601 | 11.006091 | 78.400624 | 2021-01-30 05:22:49 | Tamil Nadu, India | ||
1897121 | 1897121 | 2021-01-29 | India | Telangana | 294306 | 1598 | 290354 | 2354 | 18.1124 | 79.0193 | 2021-01-30 05:22:49 | Telangana, India | ||
1897122 | 1897122 | 2021-01-29 | India | Tripura | 33350 | 391 | 32938 | 21 | 23.746783 | 91.743565 | 2021-01-30 05:22:49 | Tripura, India | ||
1897123 | 1897123 | 2021-01-29 | India | Unknown | 0 | 0 | 0 | 0 | 2021-01-30 05:22:49 | Unknown, India | ||||
1897124 | 1897124 | 2021-01-29 | India | Uttar Pradesh | 599837 | 8646 | 585273 | 5918 | 26.925425 | 80.560982 | 2021-01-30 05:22:49 | Uttar Pradesh, India | ||
1897125 | 1897125 | 2021-01-29 | India | Uttarakhand | 95986 | 1642 | 93055 | 1289 | 30.156447 | 79.197608 | 2021-01-30 05:22:49 | Uttarakhand, India | ||
1897126 | 1897126 | 2021-01-29 | India | West Bengal | 569459 | 10155 | 553593 | 5711 | 23.814082 | 87.979803 | 2021-01-30 05:22:49 | 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]);