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 2020-09-16 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2728939 | 2728939 | 2020-09-15 | India | Andaman and Nicobar Islands | 3574 | 52 | 3318 | 204 | 11.225999 | 92.968178 | 2020-09-16 04:22:53 | Andaman and Nicobar Islands, India | ||
2728940 | 2728940 | 2020-09-15 | India | Andhra Pradesh | 583925 | 5041 | 486531 | 92353 | 15.9129 | 79.74 | 2020-09-16 04:22:53 | Andhra Pradesh, India | ||
2728941 | 2728941 | 2020-09-15 | India | Arunachal Pradesh | 6466 | 13 | 4658 | 1795 | 27.768456 | 96.384277 | 2020-09-16 04:22:53 | Arunachal Pradesh, India | ||
2728942 | 2728942 | 2020-09-15 | India | Assam | 146575 | 492 | 116903 | 29180 | 26.357149 | 92.830441 | 2020-09-16 04:22:53 | Assam, India | ||
2728943 | 2728943 | 2020-09-15 | India | Bihar | 160871 | 836 | 146980 | 13055 | 25.679658 | 85.60484 | 2020-09-16 04:22:53 | Bihar, India | ||
2728944 | 2728944 | 2020-09-15 | India | Chandigarh | 8592 | 99 | 5502 | 2991 | 30.733839 | 76.76827800000002 | 2020-09-16 04:22:53 | Chandigarh, India | ||
2728945 | 2728945 | 2020-09-15 | India | Chhattisgarh | 70777 | 589 | 34279 | 35909 | 21.264705 | 82.035366 | 2020-09-16 04:22:53 | Chhattisgarh, India | ||
2728946 | 2728946 | 2020-09-15 | India | Dadra and Nagar Haveli and Daman and Diu | 2783 | 2 | 2552 | 229 | 20.194742 | 73.080901 | 2020-09-16 04:22:53 | Dadra and Nagar Haveli and Daman and Diu, India | ||
2728947 | 2728947 | 2020-09-15 | India | Delhi | 225796 | 4806 | 191203 | 29787 | 28.646519 | 77.10898 | 2020-09-16 04:22:53 | Delhi, India | ||
2728948 | 2728948 | 2020-09-15 | India | Goa | 25511 | 315 | 20094 | 5102 | 15.359682 | 74.057396 | 2020-09-16 04:22:53 | Goa, India | ||
2728949 | 2728949 | 2020-09-15 | India | Gujarat | 116183 | 3244 | 96582 | 16357 | 22.694884 | 71.590923 | 2020-09-16 04:22:53 | Gujarat, India | ||
2728950 | 2728950 | 2020-09-15 | India | Haryana | 98622 | 1026 | 77166 | 20430 | 29.20004 | 76.332824 | 2020-09-16 04:22:53 | Haryana, India | ||
2728951 | 2728951 | 2020-09-15 | India | Himachal Pradesh | 10335 | 90 | 6444 | 3801 | 31.927213 | 77.233081 | 2020-09-16 04:22:53 | Himachal Pradesh, India | ||
2728952 | 2728952 | 2020-09-15 | India | Jammu and Kashmir | 56654 | 914 | 37062 | 18678 | 33.75943 | 76.612638 | 2020-09-16 04:22:53 | Jammu and Kashmir, India | ||
2728953 | 2728953 | 2020-09-15 | India | Jharkhand | 64439 | 571 | 49750 | 14118 | 23.654536 | 85.557631 | 2020-09-16 04:22:53 | Jharkhand, India | ||
2728954 | 2728954 | 2020-09-15 | India | Karnataka | 475265 | 7481 | 369229 | 98555 | 14.70518 | 76.166436 | 2020-09-16 04:22:53 | Karnataka, India | ||
2728955 | 2728955 | 2020-09-15 | India | Kerala | 114033 | 466 | 82341 | 31226 | 10.450898 | 76.405749 | 2020-09-16 04:22:53 | Kerala, India | ||
2728956 | 2728956 | 2020-09-15 | India | Ladakh | 3499 | 44 | 2517 | 938 | 34.1526 | 77.5771 | 2020-09-16 04:22:53 | Ladakh, India | ||
2728957 | 2728957 | 2020-09-15 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-09-16 04:22:53 | Lakshadweep, India | ||
2728958 | 2728958 | 2020-09-15 | India | Madhya Pradesh | 93053 | 1820 | 69613 | 21620 | 23.541513 | 78.289633 | 2020-09-16 04:22:53 | Madhya Pradesh, India | ||
2728959 | 2728959 | 2020-09-15 | India | Maharashtra | 1097856 | 30409 | 775273 | 292174 | 19.449759 | 76.108221 | 2020-09-16 04:22:53 | Maharashtra, India | ||
2728960 | 2728960 | 2020-09-15 | India | Manipur | 8210 | 47 | 6418 | 1745 | 24.738975 | 93.882541 | 2020-09-16 04:22:53 | Manipur, India | ||
2728961 | 2728961 | 2020-09-15 | India | Meghalaya | 4036 | 28 | 2190 | 1818 | 25.536934 | 91.278882 | 2020-09-16 04:22:53 | Meghalaya, India | ||
2728962 | 2728962 | 2020-09-15 | India | Mizoram | 1480 | 0 | 922 | 558 | 23.309381 | 92.83822 | 2020-09-16 04:22:53 | Mizoram, India | ||
2728963 | 2728963 | 2020-09-15 | India | Nagaland | 5229 | 15 | 3945 | 1269 | 26.06702 | 94.470302 | 2020-09-16 04:22:53 | Nagaland, India | ||
2728964 | 2728964 | 2020-09-15 | India | Odisha | 158650 | 645 | 125738 | 32267 | 20.505428 | 84.418059 | 2020-09-16 04:22:53 | Odisha, India | ||
2728965 | 2728965 | 2020-09-15 | India | Puducherry | 20601 | 405 | 15522 | 4674 | 11.882658 | 78.86498 | 2020-09-16 04:22:53 | Puducherry, India | ||
2728966 | 2728966 | 2020-09-15 | India | Punjab | 84482 | 2514 | 60814 | 21154 | 30.841465000000003 | 75.40879 | 2020-09-16 04:22:53 | Punjab, India | ||
2728967 | 2728967 | 2020-09-15 | India | Rajasthan | 105898 | 1264 | 87873 | 16761 | 26.583423 | 73.847973 | 2020-09-16 04:22:53 | Rajasthan, India | ||
2728968 | 2728968 | 2020-09-15 | India | Sikkim | 2173 | 19 | 1690 | 464 | 27.571671 | 88.472712 | 2020-09-16 04:22:53 | Sikkim, India | ||
2728969 | 2728969 | 2020-09-15 | India | Tamil Nadu | 514208 | 8502 | 458900 | 46806 | 11.006091 | 78.400624 | 2020-09-16 04:22:53 | Tamil Nadu, India | ||
2728970 | 2728970 | 2020-09-15 | India | Telangana | 162844 | 996 | 131447 | 30401 | 18.1124 | 79.0193 | 2020-09-16 04:22:53 | Telangana, India | ||
2728971 | 2728971 | 2020-09-15 | India | Tripura | 20150 | 217 | 12435 | 7498 | 23.746783 | 91.743565 | 2020-09-16 04:22:53 | Tripura, India | ||
2728972 | 2728972 | 2020-09-15 | India | Unknown | 0 | 0 | 0 | 0 | 2020-09-16 04:22:53 | Unknown, India | ||||
2728973 | 2728973 | 2020-09-15 | India | Uttar Pradesh | 324036 | 4604 | 252097 | 67335 | 26.925425 | 80.560982 | 2020-09-16 04:22:53 | Uttar Pradesh, India | ||
2728974 | 2728974 | 2020-09-15 | India | Uttarakhand | 34407 | 438 | 23230 | 10739 | 30.156447 | 79.197608 | 2020-09-16 04:22:53 | Uttarakhand, India | ||
2728975 | 2728975 | 2020-09-15 | India | West Bengal | 209146 | 4062 | 181142 | 23942 | 23.814082 | 87.979803 | 2020-09-16 04:22:53 | 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]);