johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
27 rows where country_or_region = "Brazil" and "day" is on date 2020-06-13 sorted by day descending
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province_or_state 27
- Acre 1
- Alagoas 1
- Amapa 1
- Amazonas 1
- Bahia 1
- Ceara 1
- Distrito Federal 1
- Espirito Santo 1
- Goias 1
- Maranhao 1
- Mato Grosso 1
- Mato Grosso do Sul 1
- Minas Gerais 1
- Para 1
- Paraiba 1
- Parana 1
- Pernambuco 1
- Piaui 1
- Rio Grande do Norte 1
- Rio Grande do Sul 1
- Rio de Janeiro 1
- Rondonia 1
- Roraima 1
- Santa Catarina 1
- Sao Paulo 1
- Sergipe 1
- Tocantins 1
country_or_region 1
- Brazil · 27 ✖
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3060957 | 3060957 | 2020-06-13 | Brazil | Acre | 9534 | 256 | 5043 | 4235 | -9.0238 | -70.812 | 2020-06-14 03:33:15 | Acre, Brazil | ||
3060962 | 3060962 | 2020-06-13 | Brazil | Alagoas | 20887 | 723 | 13761 | 6403 | -9.5713 | -36.782 | 2020-06-14 03:33:15 | Alagoas, Brazil | ||
3060966 | 3060966 | 2020-06-13 | Brazil | Amapa | 16322 | 319 | 7311 | 8692 | 0.902 | -52.003 | 2020-06-14 03:33:15 | Amapa, Brazil | ||
3060967 | 3060967 | 2020-06-13 | Brazil | Amazonas | 56026 | 2465 | 45238 | 8323 | -3.4168 | -65.8561 | 2020-06-14 03:33:15 | Amazonas, Brazil | ||
3060999 | 3060999 | 2020-06-13 | Brazil | Bahia | 35788 | 1069 | 15279 | 19440 | -12.5797 | -41.7007 | 2020-06-14 03:33:15 | Bahia, Brazil | ||
3061040 | 3061040 | 2020-06-13 | Brazil | Ceara | 76429 | 4829 | 54956 | 16644 | -5.4984 | -39.3206 | 2020-06-14 03:33:15 | Ceara, Brazil | ||
3061073 | 3061073 | 2020-06-13 | Brazil | Distrito Federal | 21959 | 293 | 12483 | 9183 | -15.7998 | -47.8645 | 2020-06-14 03:33:15 | Distrito Federal, Brazil | ||
3061080 | 3061080 | 2020-06-13 | Brazil | Espirito Santo | 26011 | 1028 | 14224 | 10686 | -19.1834 | -40.3089 | 2020-06-14 03:33:15 | Espirito Santo, Brazil | ||
3061098 | 3061098 | 2020-06-13 | Brazil | Goias | 7941 | 211 | 0 | 7732 | -15.827 | -49.8362 | 2020-06-14 03:33:15 | Goias, Brazil | ||
3061215 | 3061215 | 2020-06-13 | Brazil | Maranhao | 58859 | 1436 | 33561 | 23862 | -4.9609 | -45.2744 | 2020-06-14 03:33:15 | Maranhao, Brazil | ||
3061219 | 3061219 | 2020-06-13 | Brazil | Mato Grosso | 5739 | 199 | 2042 | 3290 | -12.6819 | -56.9211 | 2020-06-14 03:33:15 | Mato Grosso, Brazil | ||
3061220 | 3061220 | 2020-06-13 | Brazil | Mato Grosso do Sul | 3433 | 31 | 1701 | 1506 | -20.7722 | -54.7852 | 2020-06-14 03:33:15 | Mato Grosso do Sul, Brazil | ||
3061231 | 3061231 | 2020-06-13 | Brazil | Minas Gerais | 20614 | 454 | 10647 | 9513 | -18.5122 | -44.555 | 2020-06-14 03:33:15 | Minas Gerais, Brazil | ||
3061292 | 3061292 | 2020-06-13 | Brazil | Para | 68510 | 4191 | 55864 | 8469 | -1.9981 | -54.9306 | 2020-06-14 03:33:15 | Para, Brazil | ||
3061293 | 3061293 | 2020-06-13 | Brazil | Paraiba | 27454 | 623 | 6477 | 20354 | -7.24 | -36.782 | 2020-06-14 03:33:15 | Paraiba, Brazil | ||
3061294 | 3061294 | 2020-06-13 | Brazil | Parana | 9353 | 320 | 3044 | 5877 | -25.2521 | -52.0215 | 2020-06-14 03:33:15 | Parana, Brazil | ||
3061298 | 3061298 | 2020-06-13 | Brazil | Pernambuco | 44671 | 3784 | 27903 | 12984 | -8.8137 | -36.9541 | 2020-06-14 03:33:15 | Pernambuco, Brazil | ||
3061299 | 3061299 | 2020-06-13 | Brazil | Piaui | 10153 | 360 | 681 | 8809 | -7.7183 | -42.7289 | 2020-06-14 03:33:15 | Piaui, Brazil | ||
3061325 | 3061325 | 2020-06-13 | Brazil | Rio Grande do Norte | 14171 | 534 | 1993 | 11263 | -5.4026 | -36.9541 | 2020-06-14 03:33:15 | Rio Grande do Norte, Brazil | ||
3061326 | 3061326 | 2020-06-13 | Brazil | Rio Grande do Sul | 14627 | 344 | 12027 | 2256 | -30.0346 | -51.2177 | 2020-06-14 03:33:15 | Rio Grande do Sul, Brazil | ||
3061327 | 3061327 | 2020-06-13 | Brazil | Rio de Janeiro | 78836 | 7592 | 62375 | 8869 | -22.9068 | -43.1729 | 2020-06-14 03:33:15 | Rio de Janeiro, Brazil | ||
3061330 | 3061330 | 2020-06-13 | Brazil | Rondonia | 11710 | 309 | 4142 | 7259 | -11.5057 | -63.5806 | 2020-06-14 03:33:15 | Rondonia, Brazil | ||
3061331 | 3061331 | 2020-06-13 | Brazil | Roraima | 6875 | 200 | 1754 | 4891 | -2.7376 | -62.0751 | 2020-06-14 03:33:15 | Roraima, Brazil | ||
3061349 | 3061349 | 2020-06-13 | Brazil | Santa Catarina | 13296 | 193 | 9218 | 3885 | -27.2423 | -50.2189 | 2020-06-14 03:33:15 | Santa Catarina, Brazil | ||
3061351 | 3061351 | 2020-06-13 | Brazil | Sao Paulo | 172875 | 10581 | 49295 | 112999 | -23.5505 | -46.6333 | 2020-06-14 03:33:15 | Sao Paulo, Brazil | ||
3061357 | 3061357 | 2020-06-13 | Brazil | Sergipe | 12866 | 316 | 4732 | 7818 | -10.5741 | -37.3857 | 2020-06-14 03:33:15 | Sergipe, Brazil | ||
3061397 | 3061397 | 2020-06-13 | Brazil | Tocantins | 6972 | 132 | 3685 | 3116 | -10.1753 | -48.2982 | 2020-06-14 03:33:15 | Tocantins, Brazil |
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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]);