johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
28 rows where country_or_region = "Brazil" and "day" is on date 2020-05-23 sorted by day descending
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province_or_state 28
- 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
- Unknown 1
country_or_region 1
- Brazil · 28 ✖
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
997686 | 997686 | 2020-05-23 | Brazil | Acre | 3867 | 87 | 0 | 3780 | -9.0238 | -70.812 | 2020-05-24 02:32:43 | Acre, Brazil | ||
997688 | 997688 | 2020-05-23 | Brazil | Alagoas | 5630 | 301 | 0 | 5329 | -9.5713 | -36.782 | 2020-05-24 02:32:43 | Alagoas, Brazil | ||
997690 | 997690 | 2020-05-23 | Brazil | Amapa | 6091 | 162 | 0 | 5929 | 0.902 | -52.003 | 2020-05-24 02:32:43 | Amapa, Brazil | ||
997691 | 997691 | 2020-05-23 | Brazil | Amazonas | 28802 | 1744 | 0 | 27058 | -3.4168 | -65.8561 | 2020-05-24 02:32:43 | Amazonas, Brazil | ||
997705 | 997705 | 2020-05-23 | Brazil | Bahia | 13001 | 413 | 0 | 12587 | -12.5797 | -41.7007 | 2020-05-24 02:32:43 | Bahia, Brazil | ||
997730 | 997730 | 2020-05-23 | Brazil | Ceara | 35122 | 2308 | 0 | 32814 | -5.4984 | -39.3206 | 2020-05-24 02:32:43 | Ceara, Brazil | ||
997743 | 997743 | 2020-05-23 | Brazil | Distrito Federal | 6251 | 95 | 0 | 6156 | -15.7998 | -47.8645 | 2020-05-24 02:32:43 | Distrito Federal, Brazil | ||
997746 | 997746 | 2020-05-23 | Brazil | Espirito Santo | 9918 | 417 | 0 | 9501 | -19.1834 | -40.3089 | 2020-05-24 02:32:43 | Espirito Santo, Brazil | ||
997757 | 997757 | 2020-05-23 | Brazil | Goias | 2435 | 95 | 0 | 2282 | -15.827 | -49.8362 | 2020-05-24 02:32:43 | Goias, Brazil | ||
997795 | 997795 | 2020-05-23 | Brazil | Maranhao | 21191 | 754 | 0 | 18045 | -4.9609 | -45.2744 | 2020-05-24 02:32:43 | Maranhao, Brazil | ||
997798 | 997798 | 2020-05-23 | Brazil | Mato Grosso | 1363 | 37 | 0 | 1315 | -12.6819 | -56.9211 | 2020-05-24 02:32:43 | Mato Grosso, Brazil | ||
997799 | 997799 | 2020-05-23 | Brazil | Mato Grosso do Sul | 858 | 17 | 0 | 841 | -20.7722 | -54.7852 | 2020-05-24 02:32:43 | Mato Grosso do Sul, Brazil | ||
997807 | 997807 | 2020-05-23 | Brazil | Minas Gerais | 6338 | 217 | 0 | 6121 | -18.5122 | -44.555 | 2020-05-24 02:32:43 | Minas Gerais, Brazil | ||
997834 | 997834 | 2020-05-23 | Brazil | Para | 24125 | 2150 | 0 | 20696 | -1.9981 | -54.9306 | 2020-05-24 02:32:43 | Para, Brazil | ||
997835 | 997835 | 2020-05-23 | Brazil | Paraiba | 7508 | 258 | 0 | 7250 | -7.24 | -36.782 | 2020-05-24 02:32:43 | Paraiba, Brazil | ||
997836 | 997836 | 2020-05-23 | Brazil | Parana | 3147 | 153 | 0 | 2949 | -25.2521 | -52.0215 | 2020-05-24 02:32:43 | Parana, Brazil | ||
997837 | 997837 | 2020-05-23 | Brazil | Pernambuco | 26786 | 2144 | 0 | 24642 | -8.8137 | -36.9541 | 2020-05-24 02:32:43 | Pernambuco, Brazil | ||
997838 | 997838 | 2020-05-23 | Brazil | Piaui | 3390 | 107 | 0 | 3159 | -7.7183 | -42.7289 | 2020-05-24 02:32:43 | Piaui, Brazil | ||
997852 | 997852 | 2020-05-23 | Brazil | Rio Grande do Norte | 4599 | 184 | 0 | 4415 | -5.4026 | -36.9541 | 2020-05-24 02:32:43 | Rio Grande do Norte, Brazil | ||
997853 | 997853 | 2020-05-23 | Brazil | Rio Grande do Sul | 6336 | 176 | 0 | 6160 | -30.0346 | -51.2177 | 2020-05-24 02:32:43 | Rio Grande do Sul, Brazil | ||
997854 | 997854 | 2020-05-23 | Brazil | Rio de Janeiro | 34533 | 3905 | 0 | 30628 | -22.9068 | -43.1729 | 2020-05-24 02:32:43 | Rio de Janeiro, Brazil | ||
997855 | 997855 | 2020-05-23 | Brazil | Rondonia | 3109 | 115 | 0 | 2994 | -11.5057 | -63.5806 | 2020-05-24 02:32:43 | Rondonia, Brazil | ||
997856 | 997856 | 2020-05-23 | Brazil | Roraima | 2439 | 81 | 0 | 2293 | -2.7376 | -62.0751 | 2020-05-24 02:32:43 | Roraima, Brazil | ||
997864 | 997864 | 2020-05-23 | Brazil | Santa Catarina | 6607 | 103 | 0 | 6504 | -27.2423 | -50.2189 | 2020-05-24 02:32:43 | Santa Catarina, Brazil | ||
997865 | 997865 | 2020-05-23 | Brazil | Sao Paulo | 80558 | 6045 | 0 | 74513 | -23.5505 | -46.6333 | 2020-05-24 02:32:43 | Sao Paulo, Brazil | ||
997869 | 997869 | 2020-05-23 | Brazil | Sergipe | 5131 | 86 | 0 | 5045 | -10.5741 | -37.3857 | 2020-05-24 02:32:43 | Sergipe, Brazil | ||
997889 | 997889 | 2020-05-23 | Brazil | Tocantins | 2430 | 51 | 0 | 2379 | -10.1753 | -48.2982 | 2020-05-24 02:32:43 | Tocantins, Brazil | ||
997893 | 997893 | 2020-05-23 | Brazil | Unknown | 0 | 0 | 142587 | 0 | 2020-05-24 02:32:43 | Unknown, 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]);