johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
27 rows where country_or_region = "Brazil" and "last_update" is on date 2022-04-28 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3851530 | 3851530 | 2022-04-27 | Brazil | Acre | 124672 | 2002 | 0 | -9.0238 | -70.812 | 2022-04-28 04:20:47 | Acre, Brazil | |||
3851531 | 3851531 | 2022-04-27 | Brazil | Alagoas | 297867 | 6924 | 0 | -9.5713 | -36.782 | 2022-04-28 04:20:47 | Alagoas, Brazil | |||
3851532 | 3851532 | 2022-04-27 | Brazil | Amapa | 160388 | 2130 | 0 | 0.902 | -52.003 | 2022-04-28 04:20:47 | Amapa, Brazil | |||
3851533 | 3851533 | 2022-04-27 | Brazil | Amazonas | 582095 | 14172 | 0 | -3.4168 | -65.8561 | 2022-04-28 04:20:47 | Amazonas, Brazil | |||
3851534 | 3851534 | 2022-04-27 | Brazil | Bahia | 1542097 | 29848 | 0 | -12.5797 | -41.7007 | 2022-04-28 04:20:47 | Bahia, Brazil | |||
3851535 | 3851535 | 2022-04-27 | Brazil | Ceara | 1244061 | 26884 | 0 | -5.4984 | -39.3206 | 2022-04-28 04:20:47 | Ceara, Brazil | |||
3851536 | 3851536 | 2022-04-27 | Brazil | Distrito Federal | 696194 | 11649 | 0 | -15.7998 | -47.8645 | 2022-04-28 04:20:47 | Distrito Federal, Brazil | |||
3851537 | 3851537 | 2022-04-27 | Brazil | Espirito Santo | 1046178 | 14393 | 0 | -19.1834 | -40.3089 | 2022-04-28 04:20:47 | Espirito Santo, Brazil | |||
3851538 | 3851538 | 2022-04-27 | Brazil | Goias | 1325733 | 26443 | 0 | -15.827 | -49.8362 | 2022-04-28 04:20:47 | Goias, Brazil | |||
3851539 | 3851539 | 2022-04-27 | Brazil | Maranhao | 431840 | 10880 | 0 | -4.9609 | -45.2744 | 2022-04-28 04:20:47 | Maranhao, Brazil | |||
3851540 | 3851540 | 2022-04-27 | Brazil | Mato Grosso | 727232 | 14854 | 0 | -12.6819 | -56.9211 | 2022-04-28 04:20:47 | Mato Grosso, Brazil | |||
3851541 | 3851541 | 2022-04-27 | Brazil | Mato Grosso do Sul | 528593 | 10528 | 0 | -20.7722 | -54.7852 | 2022-04-28 04:20:47 | Mato Grosso do Sul, Brazil | |||
3851542 | 3851542 | 2022-04-27 | Brazil | Minas Gerais | 3354669 | 61243 | 0 | -18.5122 | -44.555 | 2022-04-28 04:20:47 | Minas Gerais, Brazil | |||
3851543 | 3851543 | 2022-04-27 | Brazil | Para | 764293 | 18249 | 0 | -1.9981 | -54.9306 | 2022-04-28 04:20:47 | Para, Brazil | |||
3851544 | 3851544 | 2022-04-27 | Brazil | Paraiba | 601704 | 10207 | 0 | -7.24 | -36.782 | 2022-04-28 04:20:47 | Paraiba, Brazil | |||
3851545 | 3851545 | 2022-04-27 | Brazil | Parana | 2448344 | 43086 | 0 | -25.2521 | -52.0215 | 2022-04-28 04:20:47 | Parana, Brazil | |||
3851546 | 3851546 | 2022-04-27 | Brazil | Pernambuco | 921063 | 21586 | 0 | -8.8137 | -36.9541 | 2022-04-28 04:20:47 | Pernambuco, Brazil | |||
3851547 | 3851547 | 2022-04-27 | Brazil | Piaui | 368027 | 7735 | 0 | -7.7183 | -42.7289 | 2022-04-28 04:20:47 | Piaui, Brazil | |||
3851548 | 3851548 | 2022-04-27 | Brazil | Rio Grande do Norte | 503152 | 8171 | 0 | -5.4026 | -36.9541 | 2022-04-28 04:20:47 | Rio Grande do Norte, Brazil | |||
3851549 | 3851549 | 2022-04-27 | Brazil | Rio Grande do Sul | 2329215 | 39273 | 0 | -30.0346 | -51.2177 | 2022-04-28 04:20:47 | Rio Grande do Sul, Brazil | |||
3851550 | 3851550 | 2022-04-27 | Brazil | Rio de Janeiro | 2137643 | 73378 | 0 | -22.9068 | -43.1729 | 2022-04-28 04:20:47 | Rio de Janeiro, Brazil | |||
3851551 | 3851551 | 2022-04-27 | Brazil | Rondonia | 401421 | 7204 | 0 | -11.5057 | -63.5806 | 2022-04-28 04:20:47 | Rondonia, Brazil | |||
3851552 | 3851552 | 2022-04-27 | Brazil | Roraima | 155433 | 2147 | 0 | -2.7376 | -62.0751 | 2022-04-28 04:20:47 | Roraima, Brazil | |||
3851553 | 3851553 | 2022-04-27 | Brazil | Santa Catarina | 1700148 | 21766 | 0 | -27.2423 | -50.2189 | 2022-04-28 04:20:47 | Santa Catarina, Brazil | |||
3851554 | 3851554 | 2022-04-27 | Brazil | Sao Paulo | 5375515 | 168106 | 0 | -23.5505 | -46.6333 | 2022-04-28 04:20:47 | Sao Paulo, Brazil | |||
3851555 | 3851555 | 2022-04-27 | Brazil | Sergipe | 327052 | 6342 | 0 | -10.5741 | -37.3857 | 2022-04-28 04:20:47 | Sergipe, Brazil | |||
3851556 | 3851556 | 2022-04-27 | Brazil | Tocantins | 304375 | 4150 | 0 | -10.1753 | -48.2982 | 2022-04-28 04:20:47 | 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]);