johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
37 rows where country_or_region = "India" and "day" is on date 2020-11-17 sorted by day descending
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3338528 | 3338528 | 2020-11-17 | India | Andaman and Nicobar Islands | 4574 | 61 | 4363 | 150 | 11.225999 | 92.968178 | 2020-11-18 05:40:31 | Andaman and Nicobar Islands, India | ||
3338529 | 3338529 | 2020-11-17 | India | Andhra Pradesh | 856159 | 6890 | 832284 | 16985 | 15.9129 | 79.74 | 2020-11-18 05:40:31 | Andhra Pradesh, India | ||
3338530 | 3338530 | 2020-11-17 | India | Arunachal Pradesh | 15904 | 48 | 14644 | 1212 | 27.768456 | 96.384277 | 2020-11-18 05:40:31 | Arunachal Pradesh, India | ||
3338531 | 3338531 | 2020-11-17 | India | Assam | 210696 | 966 | 206401 | 3329 | 26.357149 | 92.830441 | 2020-11-18 05:40:31 | Assam, India | ||
3338532 | 3338532 | 2020-11-17 | India | Bihar | 227018 | 1194 | 220668 | 5156 | 25.679658 | 85.60484 | 2020-11-18 05:40:31 | Bihar, India | ||
3338533 | 3338533 | 2020-11-17 | India | Chandigarh | 16022 | 252 | 14744 | 1026 | 30.733839 | 76.76827800000002 | 2020-11-18 05:40:31 | Chandigarh, India | ||
3338534 | 3338534 | 2020-11-17 | India | Chhattisgarh | 213365 | 2623 | 192181 | 18561 | 21.264705 | 82.035366 | 2020-11-18 05:40:31 | Chhattisgarh, India | ||
3338535 | 3338535 | 2020-11-17 | India | Dadra and Nagar Haveli and Daman and Diu | 3297 | 2 | 3274 | 21 | 20.194742 | 73.080901 | 2020-11-18 05:40:31 | Dadra and Nagar Haveli and Daman and Diu, India | ||
3338536 | 3338536 | 2020-11-17 | India | Delhi | 495598 | 7812 | 445782 | 42004 | 28.646519 | 77.10898 | 2020-11-18 05:40:31 | Delhi, India | ||
3338537 | 3338537 | 2020-11-17 | India | Goa | 46182 | 667 | 44132 | 1383 | 15.359682 | 74.057396 | 2020-11-18 05:40:31 | Goa, India | ||
3338538 | 3338538 | 2020-11-17 | India | Gujarat | 190361 | 3815 | 174088 | 12458 | 22.694884 | 71.590923 | 2020-11-18 05:40:31 | Gujarat, India | ||
3338539 | 3338539 | 2020-11-17 | India | Haryana | 204477 | 2063 | 183261 | 19153 | 29.20004 | 76.332824 | 2020-11-18 05:40:31 | Haryana, India | ||
3338540 | 3338540 | 2020-11-17 | India | Himachal Pradesh | 30740 | 462 | 23506 | 6772 | 31.927213 | 77.233081 | 2020-11-18 05:40:31 | Himachal Pradesh, India | ||
3338541 | 3338541 | 2020-11-17 | India | Jammu and Kashmir | 103581 | 1604 | 96392 | 5585 | 33.75943 | 76.612638 | 2020-11-18 05:40:31 | Jammu and Kashmir, India | ||
3338542 | 3338542 | 2020-11-17 | India | Jharkhand | 106491 | 931 | 102891 | 2669 | 23.654536 | 85.557631 | 2020-11-18 05:40:31 | Jharkhand, India | ||
3338543 | 3338543 | 2020-11-17 | India | Karnataka | 864140 | 11557 | 827241 | 25342 | 14.70518 | 76.166436 | 2020-11-18 05:40:31 | Karnataka, India | ||
3338544 | 3338544 | 2020-11-17 | India | Kerala | 533500 | 1915 | 461394 | 70191 | 10.450898 | 76.405749 | 2020-11-18 05:40:31 | Kerala, India | ||
3338545 | 3338545 | 2020-11-17 | India | Ladakh | 7563 | 94 | 6539 | 930 | 34.1526 | 77.5771 | 2020-11-18 05:40:31 | Ladakh, India | ||
3338546 | 3338546 | 2020-11-17 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-11-18 05:40:31 | Lakshadweep, India | ||
3338547 | 3338547 | 2020-11-17 | India | Madhya Pradesh | 185446 | 3102 | 173284 | 9060 | 23.541513 | 78.289633 | 2020-11-18 05:40:31 | Madhya Pradesh, India | ||
3338548 | 3338548 | 2020-11-17 | India | Maharashtra | 1752509 | 46102 | 1623503 | 82904 | 19.449759 | 76.108221 | 2020-11-18 05:40:31 | Maharashtra, India | ||
3338549 | 3338549 | 2020-11-17 | India | Manipur | 22208 | 225 | 19065 | 2918 | 24.738975 | 93.882541 | 2020-11-18 05:40:31 | Manipur, India | ||
3338550 | 3338550 | 2020-11-17 | India | Meghalaya | 10791 | 102 | 9955 | 734 | 25.536934 | 91.278882 | 2020-11-18 05:40:31 | Meghalaya, India | ||
3338551 | 3338551 | 2020-11-17 | India | Mizoram | 3481 | 5 | 2972 | 504 | 23.309381 | 92.83822 | 2020-11-18 05:40:31 | Mizoram, India | ||
3338552 | 3338552 | 2020-11-17 | India | Nagaland | 10188 | 53 | 8997 | 1138 | 26.06702 | 94.470302 | 2020-11-18 05:40:31 | Nagaland, India | ||
3338553 | 3338553 | 2020-11-17 | India | Odisha | 310052 | 1560 | 300474 | 8018 | 20.505428 | 84.418059 | 2020-11-18 05:40:31 | Odisha, India | ||
3338554 | 3338554 | 2020-11-17 | India | Puducherry | 36409 | 608 | 34958 | 843 | 11.882658 | 78.86498 | 2020-11-18 05:40:31 | Puducherry, India | ||
3338555 | 3338555 | 2020-11-17 | India | Punjab | 142597 | 4510 | 132266 | 5821 | 30.841465000000003 | 75.40879 | 2020-11-18 05:40:31 | Punjab, India | ||
3338556 | 3338556 | 2020-11-17 | India | Rajasthan | 230180 | 2089 | 209058 | 19033 | 26.583423 | 73.847973 | 2020-11-18 05:40:31 | Rajasthan, India | ||
3338557 | 3338557 | 2020-11-17 | India | Sikkim | 4548 | 92 | 4144 | 312 | 27.571671 | 88.472712 | 2020-11-18 05:40:31 | Sikkim, India | ||
3338558 | 3338558 | 2020-11-17 | India | Tamil Nadu | 761568 | 11513 | 734970 | 15085 | 11.006091 | 78.400624 | 2020-11-18 05:40:31 | Tamil Nadu, India | ||
3338559 | 3338559 | 2020-11-17 | India | Telangana | 259776 | 1415 | 245293 | 13068 | 18.1124 | 79.0193 | 2020-11-18 05:40:31 | Telangana, India | ||
3338560 | 3338560 | 2020-11-17 | India | Tripura | 32112 | 364 | 30750 | 998 | 23.746783 | 91.743565 | 2020-11-18 05:40:31 | Tripura, India | ||
3338561 | 3338561 | 2020-11-17 | India | Unknown | 0 | 0 | 0 | 0 | 2020-11-18 05:40:31 | Unknown, India | ||||
3338562 | 3338562 | 2020-11-17 | India | Uttar Pradesh | 514270 | 7412 | 484692 | 22166 | 26.925425 | 80.560982 | 2020-11-18 05:40:31 | Uttar Pradesh, India | ||
3338563 | 3338563 | 2020-11-17 | India | Uttarakhand | 68887 | 1119 | 63603 | 4165 | 30.156447 | 79.197608 | 2020-11-18 05:40:31 | Uttarakhand, India | ||
3338564 | 3338564 | 2020-11-17 | India | West Bengal | 438217 | 7766 | 403340 | 27111 | 23.814082 | 87.979803 | 2020-11-18 05:40:31 | 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]);