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 2022-11-05 sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
617575 | 617575 | 2022-11-05 | Brazil | Acre | 149885 | 2029 | 0 | -9.0238 | -70.812 | 2022-11-06 04:21:24 | Acre, Brazil | |||
617576 | 617576 | 2022-11-05 | Brazil | Alagoas | 321582 | 7128 | 0 | -9.5713 | -36.782 | 2022-11-06 04:21:24 | Alagoas, Brazil | |||
617577 | 617577 | 2022-11-05 | Brazil | Amapa | 178467 | 2164 | 0 | 0.902 | -52.003 | 2022-11-06 04:21:24 | Amapa, Brazil | |||
617578 | 617578 | 2022-11-05 | Brazil | Amazonas | 619738 | 14358 | 0 | -3.4168 | -65.8561 | 2022-11-06 04:21:24 | Amazonas, Brazil | |||
617579 | 617579 | 2022-11-05 | Brazil | Bahia | 1704438 | 30795 | 0 | -12.5797 | -41.7007 | 2022-11-06 04:21:24 | Bahia, Brazil | |||
617580 | 617580 | 2022-11-05 | Brazil | Ceara | 1386713 | 28007 | 0 | -5.4984 | -39.3206 | 2022-11-06 04:21:24 | Ceara, Brazil | |||
617581 | 617581 | 2022-11-05 | Brazil | Distrito Federal | 843162 | 11832 | 0 | -15.7998 | -47.8645 | 2022-11-06 04:21:24 | Distrito Federal, Brazil | |||
617582 | 617582 | 2022-11-05 | Brazil | Espirito Santo | 1217546 | 14834 | 0 | -19.1834 | -40.3089 | 2022-11-06 04:21:24 | Espirito Santo, Brazil | |||
617583 | 617583 | 2022-11-05 | Brazil | Goias | 1727729 | 27581 | 0 | -15.827 | -49.8362 | 2022-11-06 04:21:24 | Goias, Brazil | |||
617584 | 617584 | 2022-11-05 | Brazil | Maranhao | 474755 | 10997 | 0 | -4.9609 | -45.2744 | 2022-11-06 04:21:24 | Maranhao, Brazil | |||
617585 | 617585 | 2022-11-05 | Brazil | Mato Grosso | 832626 | 14957 | 0 | -12.6819 | -56.9211 | 2022-11-06 04:21:24 | Mato Grosso, Brazil | |||
617586 | 617586 | 2022-11-05 | Brazil | Mato Grosso do Sul | 582378 | 10845 | 0 | -20.7722 | -54.7852 | 2022-11-06 04:21:24 | Mato Grosso do Sul, Brazil | |||
617587 | 617587 | 2022-11-05 | Brazil | Minas Gerais | 3884248 | 63887 | 0 | -18.5122 | -44.555 | 2022-11-06 04:21:24 | Minas Gerais, Brazil | |||
617588 | 617588 | 2022-11-05 | Brazil | Para | 845475 | 18887 | 0 | -1.9981 | -54.9306 | 2022-11-06 04:21:24 | Para, Brazil | |||
617589 | 617589 | 2022-11-05 | Brazil | Paraiba | 654535 | 10406 | 0 | -7.24 | -36.782 | 2022-11-06 04:21:24 | Paraiba, Brazil | |||
617590 | 617590 | 2022-11-05 | Brazil | Parana | 2754083 | 45453 | 0 | -25.2521 | -52.0215 | 2022-11-06 04:21:24 | Parana, Brazil | |||
617591 | 617591 | 2022-11-05 | Brazil | Pernambuco | 1066026 | 22413 | 0 | -8.8137 | -36.9541 | 2022-11-06 04:21:24 | Pernambuco, Brazil | |||
617592 | 617592 | 2022-11-05 | Brazil | Piaui | 404893 | 7959 | 0 | -7.7183 | -42.7289 | 2022-11-06 04:21:24 | Piaui, Brazil | |||
617593 | 617593 | 2022-11-05 | Brazil | Rio Grande do Norte | 557573 | 8483 | 0 | -5.4026 | -36.9541 | 2022-11-06 04:21:24 | Rio Grande do Norte, Brazil | |||
617594 | 617594 | 2022-11-05 | Brazil | Rio Grande do Sul | 2747770 | 41200 | 0 | -30.0346 | -51.2177 | 2022-11-06 04:21:24 | Rio Grande do Sul, Brazil | |||
617595 | 617595 | 2022-11-05 | Brazil | Rio de Janeiro | 2539180 | 75881 | 0 | -22.9068 | -43.1729 | 2022-11-06 04:21:24 | Rio de Janeiro, Brazil | |||
617596 | 617596 | 2022-11-05 | Brazil | Rondonia | 457688 | 7361 | 0 | -11.5057 | -63.5806 | 2022-11-06 04:21:24 | Rondonia, Brazil | |||
617597 | 617597 | 2022-11-05 | Brazil | Roraima | 175594 | 2175 | 0 | -2.7376 | -62.0751 | 2022-11-06 04:21:24 | Roraima, Brazil | |||
617598 | 617598 | 2022-11-05 | Brazil | Santa Catarina | 1886154 | 22412 | 0 | -27.2423 | -50.2189 | 2022-11-06 04:21:24 | Santa Catarina, Brazil | |||
617599 | 617599 | 2022-11-05 | Brazil | Sao Paulo | 6149046 | 175640 | 0 | -23.5505 | -46.6333 | 2022-11-06 04:21:24 | Sao Paulo, Brazil | |||
617600 | 617600 | 2022-11-05 | Brazil | Sergipe | 342915 | 6442 | 0 | -10.5741 | -37.3857 | 2022-11-06 04:21:24 | Sergipe, Brazil | |||
617601 | 617601 | 2022-11-05 | Brazil | Tocantins | 344864 | 4206 | 0 | -10.1753 | -48.2982 | 2022-11-06 04:21:24 | Tocantins, Brazil |
Advanced export
JSON shape: default, array, newline-delimited
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]);