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 2020-07-28 sorted by day descending
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3184947 | 3184947 | 2020-07-28 | India | Andaman and Nicobar Islands | 338 | 1 | 192 | 145 | 11.225999 | 92.968178 | 2020-07-29 04:35:11 | Andaman and Nicobar Islands, India | ||
3184948 | 3184948 | 2020-07-28 | India | Andhra Pradesh | 102349 | 1090 | 49558 | 51701 | 15.9129 | 79.74 | 2020-07-29 04:35:11 | Andhra Pradesh, India | ||
3184962 | 3184962 | 2020-07-28 | India | Arunachal Pradesh | 1239 | 3 | 574 | 662 | 27.768456 | 96.384277 | 2020-07-29 04:35:11 | Arunachal Pradesh, India | ||
3184963 | 3184963 | 2020-07-28 | India | Assam | 33576 | 86 | 25402 | 8088 | 26.357149 | 92.830441 | 2020-07-29 04:35:11 | Assam, India | ||
3184985 | 3184985 | 2020-07-28 | India | Bihar | 41244 | 253 | 27530 | 13461 | 25.679658 | 85.60484 | 2020-07-29 04:35:11 | Bihar, India | ||
3185017 | 3185017 | 2020-07-28 | India | Chandigarh | 910 | 14 | 575 | 321 | 30.733839 | 76.76827800000002 | 2020-07-29 04:35:11 | Chandigarh, India | ||
3185024 | 3185024 | 2020-07-28 | India | Chhattisgarh | 7745 | 44 | 5172 | 2529 | 21.264705 | 82.035366 | 2020-07-29 04:35:11 | Chhattisgarh, India | ||
3185041 | 3185041 | 2020-07-28 | India | Dadra and Nagar Haveli and Daman and Diu | 946 | 2 | 564 | 380 | 20.194742 | 73.080901 | 2020-07-29 04:35:11 | Dadra and Nagar Haveli and Daman and Diu, India | ||
3185044 | 3185044 | 2020-07-28 | India | Delhi | 131219 | 3853 | 116372 | 10994 | 28.646519 | 77.10898 | 2020-07-29 04:35:11 | Delhi, India | ||
3185075 | 3185075 | 2020-07-28 | India | Goa | 5119 | 36 | 3410 | 1673 | 15.359682 | 74.057396 | 2020-07-29 04:35:11 | Goa, India | ||
3185090 | 3185090 | 2020-07-28 | India | Gujarat | 56874 | 2348 | 41380 | 13146 | 22.694884 | 71.590923 | 2020-07-29 04:35:11 | Gujarat, India | ||
3185095 | 3185095 | 2020-07-28 | India | Haryana | 32127 | 397 | 25046 | 6684 | 29.20004 | 76.332824 | 2020-07-29 04:35:11 | Haryana, India | ||
3185101 | 3185101 | 2020-07-28 | India | Himachal Pradesh | 2270 | 14 | 1216 | 1040 | 31.927213 | 77.233081 | 2020-07-29 04:35:11 | Himachal Pradesh, India | ||
3185123 | 3185123 | 2020-07-28 | India | Jammu and Kashmir | 18390 | 321 | 10402 | 7667 | 33.75943 | 76.612638 | 2020-07-29 04:35:11 | Jammu and Kashmir, India | ||
3185126 | 3185126 | 2020-07-28 | India | Jharkhand | 8683 | 89 | 3770 | 4824 | 23.654536 | 85.557631 | 2020-07-29 04:35:11 | Jharkhand, India | ||
3185143 | 3185143 | 2020-07-28 | India | Karnataka | 101465 | 1953 | 37685 | 61827 | 14.70518 | 76.166436 | 2020-07-29 04:35:11 | Karnataka, India | ||
3185145 | 3185145 | 2020-07-28 | India | Kerala | 19727 | 63 | 10045 | 9619 | 10.450898 | 76.405749 | 2020-07-29 04:35:11 | Kerala, India | ||
3185170 | 3185170 | 2020-07-28 | India | Ladakh | 1306 | 4 | 1066 | 236 | 34.1526 | 77.5771 | 2020-07-29 04:35:11 | Ladakh, India | ||
3185171 | 3185171 | 2020-07-28 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-07-29 04:35:11 | Lakshadweep, India | ||
3185187 | 3185187 | 2020-07-28 | India | Madhya Pradesh | 28589 | 820 | 19791 | 7978 | 23.541513 | 78.289633 | 2020-07-29 04:35:11 | Madhya Pradesh, India | ||
3185193 | 3185193 | 2020-07-28 | India | Maharashtra | 383723 | 13883 | 221944 | 147896 | 19.449759 | 76.108221 | 2020-07-29 04:35:11 | Maharashtra, India | ||
3185194 | 3185194 | 2020-07-28 | India | Manipur | 2286 | 0 | 1596 | 690 | 24.738975 | 93.882541 | 2020-07-29 04:35:11 | Manipur, India | ||
3185205 | 3185205 | 2020-07-28 | India | Meghalaya | 738 | 5 | 186 | 547 | 25.536934 | 91.278882 | 2020-07-29 04:35:11 | Meghalaya, India | ||
3185215 | 3185215 | 2020-07-28 | India | Mizoram | 384 | 0 | 193 | 191 | 23.309381 | 92.83822 | 2020-07-29 04:35:11 | Mizoram, India | ||
3185226 | 3185226 | 2020-07-28 | India | Nagaland | 1385 | 5 | 569 | 811 | 26.06702 | 94.470302 | 2020-07-29 04:35:11 | Nagaland, India | ||
3185261 | 3185261 | 2020-07-28 | India | Odisha | 26892 | 147 | 17374 | 9371 | 20.505428 | 84.418059 | 2020-07-29 04:35:11 | Odisha, India | ||
3185291 | 3185291 | 2020-07-28 | India | Puducherry | 2872 | 43 | 1720 | 1109 | 11.882658 | 78.86498 | 2020-07-29 04:35:11 | Puducherry, India | ||
3185294 | 3185294 | 2020-07-28 | India | Punjab | 13769 | 318 | 9064 | 4387 | 30.841465000000003 | 75.40879 | 2020-07-29 04:35:11 | Punjab, India | ||
3185304 | 3185304 | 2020-07-28 | India | Rajasthan | 36878 | 631 | 26123 | 10124 | 26.583423 | 73.847973 | 2020-07-29 04:35:11 | Rajasthan, India | ||
3185351 | 3185351 | 2020-07-28 | India | Sikkim | 555 | 1 | 174 | 380 | 27.571671 | 88.472712 | 2020-07-29 04:35:11 | Sikkim, India | ||
3185370 | 3185370 | 2020-07-28 | India | Tamil Nadu | 220716 | 3571 | 162249 | 54896 | 11.006091 | 78.400624 | 2020-07-29 04:35:11 | Tamil Nadu, India | ||
3185374 | 3185374 | 2020-07-28 | India | Telangana | 57142 | 480 | 42909 | 13753 | 18.1124 | 79.0193 | 2020-07-29 04:35:11 | Telangana, India | ||
3185389 | 3185389 | 2020-07-28 | India | Tripura | 4049 | 17 | 2467 | 1565 | 23.746783 | 91.743565 | 2020-07-29 04:35:11 | Tripura, India | ||
3185402 | 3185402 | 2020-07-28 | India | Unknown | 0 | 0 | 0 | 0 | 2020-07-29 04:35:11 | Unknown, India | ||||
3185410 | 3185410 | 2020-07-28 | India | Uttar Pradesh | 70493 | 1456 | 42833 | 26204 | 26.925425 | 80.560982 | 2020-07-29 04:35:11 | Uttar Pradesh, India | ||
3185411 | 3185411 | 2020-07-28 | India | Uttarakhand | 6328 | 66 | 3675 | 2587 | 30.156447 | 79.197608 | 2020-07-29 04:35:11 | Uttarakhand, India | ||
3185434 | 3185434 | 2020-07-28 | India | West Bengal | 60830 | 1411 | 39917 | 19502 | 23.814082 | 87.979803 | 2020-07-29 04:35:11 | 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]);