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 2020-07-31 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3264456 | 3264456 | 2020-07-31 | India | Andaman and Nicobar Islands | 548 | 5 | 214 | 329 | 11.225999 | 92.968178 | 2020-08-01 04:36:27 | Andaman and Nicobar Islands, India | ||
3264457 | 3264457 | 2020-07-31 | India | Andhra Pradesh | 140933 | 1349 | 63864 | 75720 | 15.9129 | 79.74 | 2020-08-01 04:36:27 | Andhra Pradesh, India | ||
3264471 | 3264471 | 2020-07-31 | India | Arunachal Pradesh | 1591 | 3 | 918 | 670 | 27.768456 | 96.384277 | 2020-08-01 04:36:27 | Arunachal Pradesh, India | ||
3264472 | 3264472 | 2020-07-31 | India | Assam | 40269 | 98 | 30357 | 9814 | 26.357149 | 92.830441 | 2020-08-01 04:36:27 | Assam, India | ||
3264494 | 3264494 | 2020-07-31 | India | Bihar | 51233 | 296 | 33358 | 17579 | 25.679658 | 85.60484 | 2020-08-01 04:36:27 | Bihar, India | ||
3264526 | 3264526 | 2020-07-31 | India | Chandigarh | 1051 | 15 | 667 | 369 | 30.733839 | 76.76827800000002 | 2020-08-01 04:36:27 | Chandigarh, India | ||
3264533 | 3264533 | 2020-07-31 | India | Chhattisgarh | 9086 | 53 | 6230 | 2803 | 21.264705 | 82.035366 | 2020-08-01 04:36:27 | Chhattisgarh, India | ||
3264550 | 3264550 | 2020-07-31 | India | Dadra and Nagar Haveli and Daman and Diu | 1100 | 2 | 686 | 412 | 20.194742 | 73.080901 | 2020-08-01 04:36:27 | Dadra and Nagar Haveli and Daman and Diu, India | ||
3264553 | 3264553 | 2020-07-31 | India | Delhi | 135598 | 3963 | 120930 | 10705 | 28.646519 | 77.10898 | 2020-08-01 04:36:27 | Delhi, India | ||
3264584 | 3264584 | 2020-07-31 | India | Goa | 5913 | 45 | 4211 | 1657 | 15.359682 | 74.057396 | 2020-08-01 04:36:27 | Goa, India | ||
3264599 | 3264599 | 2020-07-31 | India | Gujarat | 61438 | 2441 | 44907 | 14090 | 22.694884 | 71.590923 | 2020-08-01 04:36:27 | Gujarat, India | ||
3264604 | 3264604 | 2020-07-31 | India | Haryana | 34965 | 421 | 28227 | 6317 | 29.20004 | 76.332824 | 2020-08-01 04:36:27 | Haryana, India | ||
3264610 | 3264610 | 2020-07-31 | India | Himachal Pradesh | 2564 | 14 | 1459 | 1091 | 31.927213 | 77.233081 | 2020-08-01 04:36:27 | Himachal Pradesh, India | ||
3264632 | 3264632 | 2020-07-31 | India | Jammu and Kashmir | 20359 | 377 | 12217 | 7765 | 33.75943 | 76.612638 | 2020-08-01 04:36:27 | Jammu and Kashmir, India | ||
3264635 | 3264635 | 2020-07-31 | India | Jharkhand | 10958 | 106 | 4314 | 6538 | 23.654536 | 85.557631 | 2020-08-01 04:36:27 | Jharkhand, India | ||
3264652 | 3264652 | 2020-07-31 | India | Karnataka | 124115 | 2314 | 49788 | 72013 | 14.70518 | 76.166436 | 2020-08-01 04:36:27 | Karnataka, India | ||
3264654 | 3264654 | 2020-07-31 | India | Kerala | 23613 | 73 | 13023 | 10517 | 10.450898 | 76.405749 | 2020-08-01 04:36:27 | Kerala, India | ||
3264679 | 3264679 | 2020-07-31 | India | Ladakh | 1404 | 7 | 1095 | 302 | 34.1526 | 77.5771 | 2020-08-01 04:36:27 | Ladakh, India | ||
3264680 | 3264680 | 2020-07-31 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-08-01 04:36:27 | Lakshadweep, India | ||
3264696 | 3264696 | 2020-07-31 | India | Madhya Pradesh | 31806 | 867 | 22271 | 8668 | 23.541513 | 78.289633 | 2020-08-01 04:36:27 | Madhya Pradesh, India | ||
3264702 | 3264702 | 2020-07-31 | India | Maharashtra | 422118 | 14994 | 256158 | 150966 | 19.449759 | 76.108221 | 2020-08-01 04:36:27 | Maharashtra, India | ||
3264703 | 3264703 | 2020-07-31 | India | Manipur | 2621 | 5 | 1689 | 927 | 24.738975 | 93.882541 | 2020-08-01 04:36:27 | Manipur, India | ||
3264714 | 3264714 | 2020-07-31 | India | Meghalaya | 823 | 5 | 215 | 603 | 25.536934 | 91.278882 | 2020-08-01 04:36:27 | Meghalaya, India | ||
3264724 | 3264724 | 2020-07-31 | India | Mizoram | 412 | 0 | 247 | 165 | 23.309381 | 92.83822 | 2020-08-01 04:36:27 | Mizoram, India | ||
3264735 | 3264735 | 2020-07-31 | India | Nagaland | 1693 | 5 | 635 | 1053 | 26.06702 | 94.470302 | 2020-08-01 04:36:27 | Nagaland, India | ||
3264770 | 3264770 | 2020-07-31 | India | Odisha | 31877 | 177 | 20518 | 11182 | 20.505428 | 84.418059 | 2020-08-01 04:36:27 | Odisha, India | ||
3264800 | 3264800 | 2020-07-31 | India | Puducherry | 3472 | 49 | 2100 | 1323 | 11.882658 | 78.86498 | 2020-08-01 04:36:27 | Puducherry, India | ||
3264803 | 3264803 | 2020-07-31 | India | Punjab | 16119 | 386 | 10734 | 4999 | 30.841465000000003 | 75.40879 | 2020-08-01 04:36:27 | Punjab, India | ||
3264813 | 3264813 | 2020-07-31 | India | Rajasthan | 41298 | 674 | 29035 | 11589 | 26.583423 | 73.847973 | 2020-08-01 04:36:27 | Rajasthan, India | ||
3264860 | 3264860 | 2020-07-31 | India | Sikkim | 639 | 1 | 231 | 407 | 27.571671 | 88.472712 | 2020-08-01 04:36:27 | Sikkim, India | ||
3264879 | 3264879 | 2020-07-31 | India | Tamil Nadu | 245859 | 3935 | 183956 | 57968 | 11.006091 | 78.400624 | 2020-08-01 04:36:27 | Tamil Nadu, India | ||
3264883 | 3264883 | 2020-07-31 | India | Telangana | 62703 | 519 | 45388 | 16796 | 18.1124 | 79.0193 | 2020-08-01 04:36:27 | Telangana, India | ||
3264898 | 3264898 | 2020-07-31 | India | Tripura | 4978 | 21 | 3327 | 1630 | 23.746783 | 91.743565 | 2020-08-01 04:36:27 | Tripura, India | ||
3264911 | 3264911 | 2020-07-31 | India | Unknown | 0 | 0 | 0 | 0 | 2020-08-01 04:36:27 | Unknown, India | ||||
3264919 | 3264919 | 2020-07-31 | India | Uttar Pradesh | 85461 | 1630 | 48863 | 34968 | 26.925425 | 80.560982 | 2020-08-01 04:36:27 | Uttar Pradesh, India | ||
3264920 | 3264920 | 2020-07-31 | India | Uttarakhand | 7183 | 80 | 4168 | 2935 | 30.156447 | 79.197608 | 2020-08-01 04:36:27 | Uttarakhand, India | ||
3264943 | 3264943 | 2020-07-31 | India | West Bengal | 70188 | 1581 | 48374 | 20233 | 23.814082 | 87.979803 | 2020-08-01 04:36:27 | 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]);