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 2021-01-18 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3503294 | 3503294 | 2021-01-17 | India | Andaman and Nicobar Islands | 4983 | 62 | 4896 | 25 | 11.225999 | 92.968178 | 2021-01-18 05:22:34 | Andaman and Nicobar Islands, India | ||
3503295 | 3503295 | 2021-01-17 | India | Andhra Pradesh | 885985 | 7140 | 876949 | 1896 | 15.9129 | 79.74 | 2021-01-18 05:22:34 | Andhra Pradesh, India | ||
3503296 | 3503296 | 2021-01-17 | India | Arunachal Pradesh | 16811 | 56 | 16697 | 58 | 27.768456 | 96.384277 | 2021-01-18 05:22:34 | Arunachal Pradesh, India | ||
3503297 | 3503297 | 2021-01-17 | India | Assam | 216831 | 1073 | 212839 | 2919 | 26.357149 | 92.830441 | 2021-01-18 05:22:34 | Assam, India | ||
3503298 | 3503298 | 2021-01-17 | India | Bihar | 257610 | 1457 | 252331 | 3822 | 25.679658 | 85.60484 | 2021-01-18 05:22:34 | Bihar, India | ||
3503299 | 3503299 | 2021-01-17 | India | Chandigarh | 20537 | 330 | 19978 | 229 | 30.733839 | 76.76827800000002 | 2021-01-18 05:22:34 | Chandigarh, India | ||
3503300 | 3503300 | 2021-01-17 | India | Chhattisgarh | 293501 | 3558 | 283111 | 6832 | 21.264705 | 82.035366 | 2021-01-18 05:22:34 | Chhattisgarh, India | ||
3503301 | 3503301 | 2021-01-17 | India | Dadra and Nagar Haveli and Daman and Diu | 3390 | 2 | 3377 | 11 | 20.194742 | 73.080901 | 2021-01-18 05:22:34 | Dadra and Nagar Haveli and Daman and Diu, India | ||
3503302 | 3503302 | 2021-01-17 | India | Delhi | 632429 | 10746 | 619139 | 2544 | 28.646519 | 77.10898 | 2021-01-18 05:22:34 | Delhi, India | ||
3503303 | 3503303 | 2021-01-17 | India | Goa | 52405 | 756 | 50771 | 878 | 15.359682 | 74.057396 | 2021-01-18 05:22:34 | Goa, India | ||
3503304 | 3503304 | 2021-01-17 | India | Gujarat | 255872 | 4365 | 245107 | 6400 | 22.694884 | 71.590923 | 2021-01-18 05:22:34 | Gujarat, India | ||
3503305 | 3503305 | 2021-01-17 | India | Haryana | 266309 | 2985 | 261230 | 2094 | 29.20004 | 76.332824 | 2021-01-18 05:22:34 | Haryana, India | ||
3503306 | 3503306 | 2021-01-17 | India | Himachal Pradesh | 56943 | 966 | 55280 | 697 | 31.927213 | 77.233081 | 2021-01-18 05:22:34 | Himachal Pradesh, India | ||
3503307 | 3503307 | 2021-01-17 | India | Jammu and Kashmir | 123343 | 1921 | 120198 | 1224 | 33.75943 | 76.612638 | 2021-01-18 05:22:34 | Jammu and Kashmir, India | ||
3503308 | 3503308 | 2021-01-17 | India | Jharkhand | 117686 | 1050 | 115411 | 1225 | 23.654536 | 85.557631 | 2021-01-18 05:22:34 | Jharkhand, India | ||
3503309 | 3503309 | 2021-01-17 | India | Karnataka | 931997 | 12166 | 911232 | 8599 | 14.70518 | 76.166436 | 2021-01-18 05:22:34 | Karnataka, India | ||
3503310 | 3503310 | 2021-01-17 | India | Kerala | 847848 | 3463 | 775176 | 69209 | 10.450898 | 76.405749 | 2021-01-18 05:22:34 | Kerala, India | ||
3503311 | 3503311 | 2021-01-17 | India | Ladakh | 9656 | 128 | 9437 | 91 | 34.1526 | 77.5771 | 2021-01-18 05:22:34 | Ladakh, India | ||
3503312 | 3503312 | 2021-01-17 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2021-01-18 05:22:34 | Lakshadweep, India | ||
3503313 | 3503313 | 2021-01-17 | India | Madhya Pradesh | 251578 | 3753 | 241426 | 6399 | 23.541513 | 78.289633 | 2021-01-18 05:22:34 | Madhya Pradesh, India | ||
3503314 | 3503314 | 2021-01-17 | India | Maharashtra | 1990759 | 50438 | 1886469 | 53852 | 19.449759 | 76.108221 | 2021-01-18 05:22:34 | Maharashtra, India | ||
3503315 | 3503315 | 2021-01-17 | India | Manipur | 28856 | 366 | 28147 | 343 | 24.738975 | 93.882541 | 2021-01-18 05:22:34 | Manipur, India | ||
3503316 | 3503316 | 2021-01-17 | India | Meghalaya | 13704 | 144 | 13412 | 148 | 25.536934 | 91.278882 | 2021-01-18 05:22:34 | Meghalaya, India | ||
3503317 | 3503317 | 2021-01-17 | India | Mizoram | 4323 | 9 | 4235 | 79 | 23.309381 | 92.83822 | 2021-01-18 05:22:34 | Mizoram, India | ||
3503318 | 3503318 | 2021-01-17 | India | Nagaland | 12058 | 88 | 11854 | 116 | 26.06702 | 94.470302 | 2021-01-18 05:22:34 | Nagaland, India | ||
3503319 | 3503319 | 2021-01-17 | India | Odisha | 333310 | 1900 | 329546 | 1864 | 20.505428 | 84.418059 | 2021-01-18 05:22:34 | Odisha, India | ||
3503320 | 3503320 | 2021-01-17 | India | Puducherry | 38646 | 642 | 37720 | 284 | 11.882658 | 78.86498 | 2021-01-18 05:22:34 | Puducherry, India | ||
3503321 | 3503321 | 2021-01-17 | India | Punjab | 170605 | 5504 | 162484 | 2617 | 30.841465000000003 | 75.40879 | 2021-01-18 05:22:34 | Punjab, India | ||
3503322 | 3503322 | 2021-01-17 | India | Rajasthan | 315181 | 2747 | 307384 | 5050 | 26.583423 | 73.847973 | 2021-01-18 05:22:34 | Rajasthan, India | ||
3503323 | 3503323 | 2021-01-17 | India | Sikkim | 6038 | 130 | 5747 | 161 | 27.571671 | 88.472712 | 2021-01-18 05:22:34 | Sikkim, India | ||
3503324 | 3503324 | 2021-01-17 | India | Tamil Nadu | 830772 | 12264 | 812568 | 5940 | 11.006091 | 78.400624 | 2021-01-18 05:22:34 | Tamil Nadu, India | ||
3503325 | 3503325 | 2021-01-17 | India | Telangana | 291872 | 1579 | 286244 | 4049 | 18.1124 | 79.0193 | 2021-01-18 05:22:34 | Telangana, India | ||
3503326 | 3503326 | 2021-01-17 | India | Tripura | 33332 | 391 | 32902 | 39 | 23.746783 | 91.743565 | 2021-01-18 05:22:34 | Tripura, India | ||
3503327 | 3503327 | 2021-01-17 | India | Unknown | 0 | 0 | 0 | 0 | 2021-01-18 05:22:34 | Unknown, India | ||||
3503328 | 3503328 | 2021-01-17 | India | Uttar Pradesh | 596528 | 8576 | 579071 | 8881 | 26.925425 | 80.560982 | 2021-01-18 05:22:34 | Uttar Pradesh, India | ||
3503329 | 3503329 | 2021-01-17 | India | Uttarakhand | 94803 | 1611 | 90838 | 2354 | 30.156447 | 79.197608 | 2021-01-18 05:22:34 | Uttarakhand, India | ||
3503330 | 3503330 | 2021-01-17 | India | West Bengal | 565272 | 10053 | 548136 | 7083 | 23.814082 | 87.979803 | 2021-01-18 05:22:34 | 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]);