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 2020-06-27 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2039579 | 2039579 | 2020-06-27 | Brazil | Acre | 12913 | 351 | 6270 | 6292 | -9.0238 | -70.812 | 2020-06-28 04:34:04 | Acre, Brazil | ||
2039584 | 2039584 | 2020-06-27 | Brazil | Alagoas | 33521 | 993 | 24796 | 7732 | -9.5713 | -36.782 | 2020-06-28 04:34:04 | Alagoas, Brazil | ||
2039588 | 2039588 | 2020-06-27 | Brazil | Amapa | 27901 | 406 | 12804 | 14691 | 0.902 | -52.003 | 2020-06-28 04:34:04 | Amapa, Brazil | ||
2039589 | 2039589 | 2020-06-27 | Brazil | Amazonas | 69022 | 2772 | 56103 | 10147 | -3.4168 | -65.8561 | 2020-06-28 04:34:04 | Amazonas, Brazil | ||
2039621 | 2039621 | 2020-06-27 | Brazil | Bahia | 65244 | 1697 | 39993 | 23554 | -12.5797 | -41.7007 | 2020-06-28 04:34:04 | Bahia, Brazil | ||
2039662 | 2039662 | 2020-06-27 | Brazil | Ceara | 107064 | 5987 | 80516 | 20131 | -5.4984 | -39.3206 | 2020-06-28 04:34:04 | Ceara, Brazil | ||
2039695 | 2039695 | 2020-06-27 | Brazil | Distrito Federal | 42766 | 537 | 29102 | 13127 | -15.7998 | -47.8645 | 2020-06-28 04:34:04 | Distrito Federal, Brazil | ||
2039702 | 2039702 | 2020-06-27 | Brazil | Espirito Santo | 41652 | 1507 | 25418 | 14727 | -19.1834 | -40.3089 | 2020-06-28 04:34:04 | Espirito Santo, Brazil | ||
2039720 | 2039720 | 2020-06-27 | Brazil | Goias | 21865 | 434 | 0 | 21191 | -15.827 | -49.8362 | 2020-06-28 04:34:04 | Goias, Brazil | ||
2039837 | 2039837 | 2020-06-27 | Brazil | Maranhao | 78115 | 1943 | 57370 | 18802 | -4.9609 | -45.2744 | 2020-06-28 04:34:04 | Maranhao, Brazil | ||
2039841 | 2039841 | 2020-06-27 | Brazil | Mato Grosso | 14128 | 533 | 5040 | 8238 | -12.6819 | -56.9211 | 2020-06-28 04:34:04 | Mato Grosso, Brazil | ||
2039842 | 2039842 | 2020-06-27 | Brazil | Mato Grosso do Sul | 7527 | 72 | 3776 | 3463 | -20.7722 | -54.7852 | 2020-06-28 04:34:04 | Mato Grosso do Sul, Brazil | ||
2039853 | 2039853 | 2020-06-27 | Brazil | Minas Gerais | 40966 | 882 | 23139 | 16945 | -18.5122 | -44.555 | 2020-06-28 04:34:04 | Minas Gerais, Brazil | ||
2039914 | 2039914 | 2020-06-27 | Brazil | Para | 100443 | 4845 | 85510 | 8969 | -1.9981 | -54.9306 | 2020-06-28 04:34:04 | Para, Brazil | ||
2039915 | 2039915 | 2020-06-27 | Brazil | Paraiba | 44247 | 896 | 13756 | 29590 | -7.24 | -36.782 | 2020-06-28 04:34:04 | Paraiba, Brazil | ||
2039916 | 2039916 | 2020-06-27 | Brazil | Parana | 19819 | 575 | 4958 | 14286 | -25.2521 | -52.0215 | 2020-06-28 04:34:04 | Parana, Brazil | ||
2039920 | 2039920 | 2020-06-27 | Brazil | Pernambuco | 57089 | 4708 | 38489 | 13892 | -8.8137 | -36.9541 | 2020-06-28 04:34:04 | Pernambuco, Brazil | ||
2039921 | 2039921 | 2020-06-27 | Brazil | Piaui | 19158 | 615 | 17648 | 425 | -7.7183 | -42.7289 | 2020-06-28 04:34:04 | Piaui, Brazil | ||
2039947 | 2039947 | 2020-06-27 | Brazil | Rio Grande do Norte | 24301 | 937 | 2904 | 20440 | -5.4026 | -36.9541 | 2020-06-28 04:34:04 | Rio Grande do Norte, Brazil | ||
2039948 | 2039948 | 2020-06-27 | Brazil | Rio Grande do Sul | 25000 | 554 | 19868 | 4578 | -30.0346 | -51.2177 | 2020-06-28 04:34:04 | Rio Grande do Sul, Brazil | ||
2039949 | 2039949 | 2020-06-27 | Brazil | Rio de Janeiro | 108803 | 9789 | 88784 | 10230 | -22.9068 | -43.1729 | 2020-06-28 04:34:04 | Rio de Janeiro, Brazil | ||
2039952 | 2039952 | 2020-06-27 | Brazil | Rondonia | 19735 | 481 | 7179 | 11616 | -11.5057 | -63.5806 | 2020-06-28 04:34:04 | Rondonia, Brazil | ||
2039953 | 2039953 | 2020-06-27 | Brazil | Roraima | 14341 | 281 | 4370 | 8427 | -2.7376 | -62.0751 | 2020-06-28 04:34:04 | Roraima, Brazil | ||
2039971 | 2039971 | 2020-06-27 | Brazil | Santa Catarina | 23808 | 304 | 16945 | 6559 | -27.2423 | -50.2189 | 2020-06-28 04:34:04 | Santa Catarina, Brazil | ||
2039973 | 2039973 | 2020-06-27 | Brazil | Sao Paulo | 265581 | 14263 | 49295 | 202023 | -23.5505 | -46.6333 | 2020-06-28 04:34:04 | Sao Paulo, Brazil | ||
2039979 | 2039979 | 2020-06-27 | Brazil | Sergipe | 23319 | 605 | 7579 | 15135 | -10.5741 | -37.3857 | 2020-06-28 04:34:04 | Sergipe, Brazil | ||
2040019 | 2040019 | 2020-06-27 | Brazil | Tocantins | 10228 | 192 | 6103 | 3672 | -10.1753 | -48.2982 | 2020-06-28 04:34:04 | 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]);