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 2022-11-10 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2430647 | 2430647 | 2022-11-09 | Brazil | Acre | 149937 | 2029 | 0 | -9.0238 | -70.812 | 2022-11-10 04:21:16 | Acre, Brazil | |||
2430648 | 2430648 | 2022-11-09 | Brazil | Alagoas | 321639 | 7129 | 0 | -9.5713 | -36.782 | 2022-11-10 04:21:16 | Alagoas, Brazil | |||
2430649 | 2430649 | 2022-11-09 | Brazil | Amapa | 178516 | 2164 | 0 | 0.902 | -52.003 | 2022-11-10 04:21:16 | Amapa, Brazil | |||
2430650 | 2430650 | 2022-11-09 | Brazil | Amazonas | 620028 | 14361 | 0 | -3.4168 | -65.8561 | 2022-11-10 04:21:16 | Amazonas, Brazil | |||
2430651 | 2430651 | 2022-11-09 | Brazil | Bahia | 1704535 | 30797 | 0 | -12.5797 | -41.7007 | 2022-11-10 04:21:16 | Bahia, Brazil | |||
2430652 | 2430652 | 2022-11-09 | Brazil | Ceara | 1386756 | 28010 | 0 | -5.4984 | -39.3206 | 2022-11-10 04:21:16 | Ceara, Brazil | |||
2430653 | 2430653 | 2022-11-09 | Brazil | Distrito Federal | 843265 | 11832 | 0 | -15.7998 | -47.8645 | 2022-11-10 04:21:16 | Distrito Federal, Brazil | |||
2430654 | 2430654 | 2022-11-09 | Brazil | Espirito Santo | 1217718 | 14835 | 0 | -19.1834 | -40.3089 | 2022-11-10 04:21:16 | Espirito Santo, Brazil | |||
2430655 | 2430655 | 2022-11-09 | Brazil | Goias | 1729007 | 27584 | 0 | -15.827 | -49.8362 | 2022-11-10 04:21:16 | Goias, Brazil | |||
2430656 | 2430656 | 2022-11-09 | Brazil | Maranhao | 474759 | 10997 | 0 | -4.9609 | -45.2744 | 2022-11-10 04:21:16 | Maranhao, Brazil | |||
2430657 | 2430657 | 2022-11-09 | Brazil | Mato Grosso | 832667 | 14957 | 0 | -12.6819 | -56.9211 | 2022-11-10 04:21:16 | Mato Grosso, Brazil | |||
2430658 | 2430658 | 2022-11-09 | Brazil | Mato Grosso do Sul | 582378 | 10845 | 0 | -20.7722 | -54.7852 | 2022-11-10 04:21:16 | Mato Grosso do Sul, Brazil | |||
2430659 | 2430659 | 2022-11-09 | Brazil | Minas Gerais | 3884466 | 63889 | 0 | -18.5122 | -44.555 | 2022-11-10 04:21:16 | Minas Gerais, Brazil | |||
2430660 | 2430660 | 2022-11-09 | Brazil | Para | 845801 | 18890 | 0 | -1.9981 | -54.9306 | 2022-11-10 04:21:16 | Para, Brazil | |||
2430661 | 2430661 | 2022-11-09 | Brazil | Paraiba | 654637 | 10406 | 0 | -7.24 | -36.782 | 2022-11-10 04:21:16 | Paraiba, Brazil | |||
2430662 | 2430662 | 2022-11-09 | Brazil | Parana | 2754530 | 45454 | 0 | -25.2521 | -52.0215 | 2022-11-10 04:21:16 | Parana, Brazil | |||
2430663 | 2430663 | 2022-11-09 | Brazil | Pernambuco | 1066414 | 22414 | 0 | -8.8137 | -36.9541 | 2022-11-10 04:21:16 | Pernambuco, Brazil | |||
2430664 | 2430664 | 2022-11-09 | Brazil | Piaui | 404893 | 7959 | 0 | -7.7183 | -42.7289 | 2022-11-10 04:21:16 | Piaui, Brazil | |||
2430665 | 2430665 | 2022-11-09 | Brazil | Rio Grande do Norte | 557592 | 8484 | 0 | -5.4026 | -36.9541 | 2022-11-10 04:21:16 | Rio Grande do Norte, Brazil | |||
2430666 | 2430666 | 2022-11-09 | Brazil | Rio Grande do Sul | 2748115 | 41204 | 0 | -30.0346 | -51.2177 | 2022-11-10 04:21:16 | Rio Grande do Sul, Brazil | |||
2430667 | 2430667 | 2022-11-09 | Brazil | Rio de Janeiro | 2540145 | 75884 | 0 | -22.9068 | -43.1729 | 2022-11-10 04:21:16 | Rio de Janeiro, Brazil | |||
2430668 | 2430668 | 2022-11-09 | Brazil | Rondonia | 457703 | 7361 | 0 | -11.5057 | -63.5806 | 2022-11-10 04:21:16 | Rondonia, Brazil | |||
2430669 | 2430669 | 2022-11-09 | Brazil | Roraima | 175634 | 2175 | 0 | -2.7376 | -62.0751 | 2022-11-10 04:21:16 | Roraima, Brazil | |||
2430670 | 2430670 | 2022-11-09 | Brazil | Santa Catarina | 1886824 | 22413 | 0 | -27.2423 | -50.2189 | 2022-11-10 04:21:16 | Santa Catarina, Brazil | |||
2430671 | 2430671 | 2022-11-09 | Brazil | Sao Paulo | 6149751 | 175673 | 0 | -23.5505 | -46.6333 | 2022-11-10 04:21:16 | Sao Paulo, Brazil | |||
2430672 | 2430672 | 2022-11-09 | Brazil | Sergipe | 342918 | 6443 | 0 | -10.5741 | -37.3857 | 2022-11-10 04:21:16 | Sergipe, Brazil | |||
2430673 | 2430673 | 2022-11-09 | Brazil | Tocantins | 344864 | 4206 | 0 | -10.1753 | -48.2982 | 2022-11-10 04:21:16 | 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]);