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 2022-01-27 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1779099 | 1779099 | 2022-01-27 | Brazil | Acre | 96834 | 1861 | 0 | -9.0238 | -70.812 | 2022-01-28 04:21:09 | Acre, Brazil | |||
1779100 | 1779100 | 2022-01-27 | Brazil | Alagoas | 252983 | 6421 | 0 | -9.5713 | -36.782 | 2022-01-28 04:21:09 | Alagoas, Brazil | |||
1779101 | 1779101 | 2022-01-27 | Brazil | Amapa | 147215 | 2045 | 0 | 0.902 | -52.003 | 2022-01-28 04:21:09 | Amapa, Brazil | |||
1779102 | 1779102 | 2022-01-27 | Brazil | Amazonas | 515440 | 13913 | 0 | -3.4168 | -65.8561 | 2022-01-28 04:21:09 | Amazonas, Brazil | |||
1779103 | 1779103 | 2022-01-27 | Brazil | Bahia | 1339384 | 27866 | 0 | -12.5797 | -41.7007 | 2022-01-28 04:21:09 | Bahia, Brazil | |||
1779104 | 1779104 | 2022-01-27 | Brazil | Ceara | 1050801 | 25083 | 0 | -5.4984 | -39.3206 | 2022-01-28 04:21:09 | Ceara, Brazil | |||
1779105 | 1779105 | 2022-01-27 | Brazil | Distrito Federal | 589858 | 11156 | 0 | -15.7998 | -47.8645 | 2022-01-28 04:21:09 | Distrito Federal, Brazil | |||
1779106 | 1779106 | 2022-01-27 | Brazil | Espirito Santo | 798001 | 13465 | 0 | -19.1834 | -40.3089 | 2022-01-28 04:21:09 | Espirito Santo, Brazil | |||
1779107 | 1779107 | 2022-01-27 | Brazil | Goias | 1027657 | 24978 | 0 | -15.827 | -49.8362 | 2022-01-28 04:21:09 | Goias, Brazil | |||
1779108 | 1779108 | 2022-01-27 | Brazil | Maranhao | 383200 | 10462 | 0 | -4.9609 | -45.2744 | 2022-01-28 04:21:09 | Maranhao, Brazil | |||
1779109 | 1779109 | 2022-01-27 | Brazil | Mato Grosso | 616657 | 14240 | 0 | -12.6819 | -56.9211 | 2022-01-28 04:21:09 | Mato Grosso, Brazil | |||
1779110 | 1779110 | 2022-01-27 | Brazil | Mato Grosso do Sul | 411872 | 9830 | 0 | -20.7722 | -54.7852 | 2022-01-28 04:21:09 | Mato Grosso do Sul, Brazil | |||
1779111 | 1779111 | 2022-01-27 | Brazil | Minas Gerais | 2609256 | 57093 | 0 | -18.5122 | -44.555 | 2022-01-28 04:21:09 | Minas Gerais, Brazil | |||
1779112 | 1779112 | 2022-01-27 | Brazil | Para | 644948 | 17319 | 0 | -1.9981 | -54.9306 | 2022-01-28 04:21:09 | Para, Brazil | |||
1779113 | 1779113 | 2022-01-27 | Brazil | Paraiba | 487074 | 9672 | 0 | -7.24 | -36.782 | 2022-01-28 04:21:09 | Paraiba, Brazil | |||
1779114 | 1779114 | 2022-01-27 | Brazil | Parana | 1899387 | 41109 | 0 | -25.2521 | -52.0215 | 2022-01-28 04:21:09 | Parana, Brazil | |||
1779115 | 1779115 | 2022-01-27 | Brazil | Pernambuco | 682805 | 20615 | 0 | -8.8137 | -36.9541 | 2022-01-28 04:21:09 | Pernambuco, Brazil | |||
1779116 | 1779116 | 2022-01-27 | Brazil | Piaui | 341237 | 7361 | 0 | -7.7183 | -42.7289 | 2022-01-28 04:21:09 | Piaui, Brazil | |||
1779117 | 1779117 | 2022-01-27 | Brazil | Rio Grande do Norte | 415433 | 7668 | 0 | -5.4026 | -36.9541 | 2022-01-28 04:21:09 | Rio Grande do Norte, Brazil | |||
1779118 | 1779118 | 2022-01-27 | Brazil | Rio Grande do Sul | 1767745 | 36791 | 0 | -30.0346 | -51.2177 | 2022-01-28 04:21:09 | Rio Grande do Sul, Brazil | |||
1779119 | 1779119 | 2022-01-27 | Brazil | Rio de Janeiro | 1695972 | 69776 | 0 | -22.9068 | -43.1729 | 2022-01-28 04:21:09 | Rio de Janeiro, Brazil | |||
1779120 | 1779120 | 2022-01-27 | Brazil | Rondonia | 309783 | 6822 | 0 | -11.5057 | -63.5806 | 2022-01-28 04:21:09 | Rondonia, Brazil | |||
1779121 | 1779121 | 2022-01-27 | Brazil | Roraima | 139783 | 2091 | 0 | -2.7376 | -62.0751 | 2022-01-28 04:21:09 | Roraima, Brazil | |||
1779122 | 1779122 | 2022-01-27 | Brazil | Santa Catarina | 1407597 | 20474 | 0 | -27.2423 | -50.2189 | 2022-01-28 04:21:09 | Santa Catarina, Brazil | |||
1779123 | 1779123 | 2022-01-27 | Brazil | Sao Paulo | 4609121 | 157209 | 0 | -23.5505 | -46.6333 | 2022-01-28 04:21:09 | Sao Paulo, Brazil | |||
1779124 | 1779124 | 2022-01-27 | Brazil | Sergipe | 287212 | 6081 | 0 | -10.5741 | -37.3857 | 2022-01-28 04:21:09 | Sergipe, Brazil | |||
1779125 | 1779125 | 2022-01-27 | Brazil | Tocantins | 262540 | 3989 | 0 | -10.1753 | -48.2982 | 2022-01-28 04:21:09 | 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]);