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" is on date 2022-03-06 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2092018 | 2092018 | 2022-03-05 | India | Andaman and Nicobar Islands | 10024 | 129 | 0 | 11.225999 | 92.96817800000001 | 2022-03-06 04:20:49 | Andaman and Nicobar Islands, India | |||
2092019 | 2092019 | 2022-03-05 | India | Andhra Pradesh | 2318338 | 14729 | 0 | 15.9129 | 79.74 | 2022-03-06 04:20:49 | Andhra Pradesh, India | |||
2092020 | 2092020 | 2022-03-05 | India | Arunachal Pradesh | 64466 | 296 | 0 | 27.768456 | 96.384277 | 2022-03-06 04:20:49 | Arunachal Pradesh, India | |||
2092021 | 2092021 | 2022-03-05 | India | Assam | 724159 | 6639 | 0 | 26.357149 | 92.83044100000001 | 2022-03-06 04:20:49 | Assam, India | |||
2092022 | 2092022 | 2022-03-05 | India | Bihar | 830245 | 12255 | 0 | 25.679658 | 85.60484 | 2022-03-06 04:20:49 | Bihar, India | |||
2092023 | 2092023 | 2022-03-05 | India | Chandigarh | 91795 | 1165 | 0 | 30.733839 | 76.76827800000002 | 2022-03-06 04:20:49 | Chandigarh, India | |||
2092024 | 2092024 | 2022-03-05 | India | Chhattisgarh | 1151425 | 14032 | 0 | 21.264705 | 82.035366 | 2022-03-06 04:20:49 | Chhattisgarh, India | |||
2092025 | 2092025 | 2022-03-05 | India | Dadra and Nagar Haveli and Daman and Diu | 11440 | 4 | 0 | 20.194742 | 73.080901 | 2022-03-06 04:20:49 | Dadra and Nagar Haveli and Daman and Diu, India | |||
2092026 | 2092026 | 2022-03-05 | India | Delhi | 1861463 | 26134 | 0 | 28.646519 | 77.10898 | 2022-03-06 04:20:49 | Delhi, India | |||
2092027 | 2092027 | 2022-03-05 | India | Goa | 245109 | 3827 | 0 | 15.359682000000001 | 74.057396 | 2022-03-06 04:20:49 | Goa, India | |||
2092028 | 2092028 | 2022-03-05 | India | Gujarat | 1223191 | 10934 | 0 | 22.694884 | 71.590923 | 2022-03-06 04:20:49 | Gujarat, India | |||
2092029 | 2092029 | 2022-03-05 | India | Haryana | 982862 | 10571 | 0 | 29.20004 | 76.332824 | 2022-03-06 04:20:49 | Haryana, India | |||
2092030 | 2092030 | 2022-03-05 | India | Himachal Pradesh | 283672 | 4122 | 0 | 31.927213000000002 | 77.233081 | 2022-03-06 04:20:49 | Himachal Pradesh, India | |||
2092031 | 2092031 | 2022-03-05 | India | Jammu and Kashmir | 453214 | 4749 | 0 | 33.75943 | 76.612638 | 2022-03-06 04:20:49 | Jammu and Kashmir, India | |||
2092032 | 2092032 | 2022-03-05 | India | Jharkhand | 434536 | 5315 | 0 | 23.654536 | 85.557631 | 2022-03-06 04:20:49 | Jharkhand, India | |||
2092033 | 2092033 | 2022-03-05 | India | Karnataka | 3942346 | 39988 | 0 | 14.705179999999999 | 76.166436 | 2022-03-06 04:20:49 | Karnataka, India | |||
2092034 | 2092034 | 2022-03-05 | India | Kerala | 6510681 | 66136 | 0 | 10.450898 | 76.405749 | 2022-03-06 04:20:49 | Kerala, India | |||
2092035 | 2092035 | 2022-03-05 | India | Ladakh | 28112 | 228 | 0 | 34.1526 | 77.5771 | 2022-03-06 04:20:49 | Ladakh, India | |||
2092036 | 2092036 | 2022-03-05 | India | Lakshadweep | 11400 | 52 | 0 | 13.699997199999999 | 72.18333259999999 | 2022-03-06 04:20:49 | Lakshadweep, India | |||
2092037 | 2092037 | 2022-03-05 | India | Madhya Pradesh | 1039899 | 10733 | 0 | 23.541513000000002 | 78.289633 | 2022-03-06 04:20:49 | Madhya Pradesh, India | |||
2092038 | 2092038 | 2022-03-05 | India | Maharashtra | 7868451 | 143737 | 0 | 19.449759 | 76.108221 | 2022-03-06 04:20:49 | Maharashtra, India | |||
2092039 | 2092039 | 2022-03-05 | India | Manipur | 136888 | 2114 | 0 | 24.738975 | 93.882541 | 2022-03-06 04:20:49 | Manipur, India | |||
2092040 | 2092040 | 2022-03-05 | India | Meghalaya | 93582 | 1583 | 0 | 25.536934 | 91.278882 | 2022-03-06 04:20:49 | Meghalaya, India | |||
2092041 | 2092041 | 2022-03-05 | India | Mizoram | 217606 | 662 | 0 | 23.309381 | 92.83821999999999 | 2022-03-06 04:20:49 | Mizoram, India | |||
2092042 | 2092042 | 2022-03-05 | India | Nagaland | 35419 | 757 | 0 | 26.06702 | 94.470302 | 2022-03-06 04:20:49 | Nagaland, India | |||
2092043 | 2092043 | 2022-03-05 | India | Odisha | 1285760 | 9098 | 0 | 20.505428 | 84.418059 | 2022-03-06 04:20:49 | Odisha, India | |||
2092044 | 2092044 | 2022-03-05 | India | Puducherry | 165742 | 1962 | 0 | 11.882658000000001 | 78.86498 | 2022-03-06 04:20:49 | Puducherry, India | |||
2092045 | 2092045 | 2022-03-05 | India | Punjab | 758412 | 17719 | 0 | 30.841465000000003 | 75.40879 | 2022-03-06 04:20:49 | Punjab, India | |||
2092046 | 2092046 | 2022-03-05 | India | Rajasthan | 1281154 | 9542 | 0 | 26.583423 | 73.847973 | 2022-03-06 04:20:49 | Rajasthan, India | |||
2092047 | 2092047 | 2022-03-05 | India | Sikkim | 39087 | 443 | 0 | 27.571671000000002 | 88.472712 | 2022-03-06 04:20:49 | Sikkim, India | |||
2092048 | 2092048 | 2022-03-05 | India | Tamil Nadu | 3450817 | 38012 | 0 | 11.006091 | 78.400624 | 2022-03-06 04:20:49 | Tamil Nadu, India | |||
2092049 | 2092049 | 2022-03-05 | India | Telangana | 789676 | 4111 | 0 | 18.1124 | 79.0193 | 2022-03-06 04:20:49 | Telangana, India | |||
2092050 | 2092050 | 2022-03-05 | India | Tripura | 100869 | 919 | 0 | 23.746782999999997 | 91.743565 | 2022-03-06 04:20:49 | Tripura, India | |||
2092051 | 2092051 | 2022-03-05 | India | Unknown | 0 | 0 | 0 | 2022-03-06 04:20:49 | Unknown, India | |||||
2092052 | 2092052 | 2022-03-05 | India | Uttar Pradesh | 2068965 | 23475 | 0 | 26.925425 | 80.560982 | 2022-03-06 04:20:49 | Uttar Pradesh, India | |||
2092053 | 2092053 | 2022-03-05 | India | Uttarakhand | 436376 | 7686 | 0 | 30.156446999999996 | 79.197608 | 2022-03-06 04:20:49 | Uttarakhand, India | |||
2092054 | 2092054 | 2022-03-05 | India | West Bengal | 2015772 | 21178 | 0 | 23.814082 | 87.979803 | 2022-03-06 04:20:49 | 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]);