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 2022-08-23 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2852574 | 2852574 | 2022-08-22 | Brazil | Acre | 148425 | 2027 | 0 | -9.0238 | -70.812 | 2022-08-23 04:20:56 | Acre, Brazil | |||
2852575 | 2852575 | 2022-08-22 | Brazil | Alagoas | 319794 | 7108 | 0 | -9.5713 | -36.782 | 2022-08-23 04:20:56 | Alagoas, Brazil | |||
2852576 | 2852576 | 2022-08-22 | Brazil | Amapa | 177954 | 2157 | 0 | 0.902 | -52.003 | 2022-08-23 04:20:56 | Amapa, Brazil | |||
2852577 | 2852577 | 2022-08-22 | Brazil | Amazonas | 612423 | 14263 | 0 | -3.4168 | -65.8561 | 2022-08-23 04:20:56 | Amazonas, Brazil | |||
2852578 | 2852578 | 2022-08-22 | Brazil | Bahia | 1680581 | 30572 | 0 | -12.5797 | -41.7007 | 2022-08-23 04:20:56 | Bahia, Brazil | |||
2852579 | 2852579 | 2022-08-22 | Brazil | Ceara | 1374573 | 27524 | 0 | -5.4984 | -39.3206 | 2022-08-23 04:20:56 | Ceara, Brazil | |||
2852580 | 2852580 | 2022-08-22 | Brazil | Distrito Federal | 836215 | 11825 | 0 | -15.7998 | -47.8645 | 2022-08-23 04:20:56 | Distrito Federal, Brazil | |||
2852581 | 2852581 | 2022-08-22 | Brazil | Espirito Santo | 1212838 | 14768 | 0 | -19.1834 | -40.3089 | 2022-08-23 04:20:56 | Espirito Santo, Brazil | |||
2852582 | 2852582 | 2022-08-22 | Brazil | Goias | 1664540 | 27413 | 0 | -15.827 | -49.8362 | 2022-08-23 04:20:56 | Goias, Brazil | |||
2852583 | 2852583 | 2022-08-22 | Brazil | Maranhao | 466924 | 10979 | 0 | -4.9609 | -45.2744 | 2022-08-23 04:20:56 | Maranhao, Brazil | |||
2852584 | 2852584 | 2022-08-22 | Brazil | Mato Grosso | 823101 | 14915 | 0 | -12.6819 | -56.9211 | 2022-08-23 04:20:56 | Mato Grosso, Brazil | |||
2852585 | 2852585 | 2022-08-22 | Brazil | Mato Grosso do Sul | 574401 | 10771 | 0 | -20.7722 | -54.7852 | 2022-08-23 04:20:56 | Mato Grosso do Sul, Brazil | |||
2852586 | 2852586 | 2022-08-22 | Brazil | Minas Gerais | 3861880 | 63389 | 0 | -18.5122 | -44.555 | 2022-08-23 04:20:56 | Minas Gerais, Brazil | |||
2852587 | 2852587 | 2022-08-22 | Brazil | Para | 827204 | 18630 | 0 | -1.9981 | -54.9306 | 2022-08-23 04:20:56 | Para, Brazil | |||
2852588 | 2852588 | 2022-08-22 | Brazil | Paraiba | 649851 | 10388 | 0 | -7.24 | -36.782 | 2022-08-23 04:20:56 | Paraiba, Brazil | |||
2852589 | 2852589 | 2022-08-22 | Brazil | Parana | 2725308 | 44937 | 0 | -25.2521 | -52.0215 | 2022-08-23 04:20:56 | Parana, Brazil | |||
2852590 | 2852590 | 2022-08-22 | Brazil | Pernambuco | 1043225 | 22151 | 0 | -8.8137 | -36.9541 | 2022-08-23 04:20:56 | Pernambuco, Brazil | |||
2852591 | 2852591 | 2022-08-22 | Brazil | Piaui | 395150 | 7925 | 0 | -7.7183 | -42.7289 | 2022-08-23 04:20:56 | Piaui, Brazil | |||
2852592 | 2852592 | 2022-08-22 | Brazil | Rio Grande do Norte | 550595 | 8430 | 0 | -5.4026 | -36.9541 | 2022-08-23 04:20:56 | Rio Grande do Norte, Brazil | |||
2852593 | 2852593 | 2022-08-22 | Brazil | Rio Grande do Sul | 2694964 | 40743 | 0 | -30.0346 | -51.2177 | 2022-08-23 04:20:56 | Rio Grande do Sul, Brazil | |||
2852594 | 2852594 | 2022-08-22 | Brazil | Rio de Janeiro | 2476205 | 75255 | 0 | -22.9068 | -43.1729 | 2022-08-23 04:20:56 | Rio de Janeiro, Brazil | |||
2852595 | 2852595 | 2022-08-22 | Brazil | Rondonia | 453093 | 7343 | 0 | -11.5057 | -63.5806 | 2022-08-23 04:20:56 | Rondonia, Brazil | |||
2852596 | 2852596 | 2022-08-22 | Brazil | Roraima | 174278 | 2167 | 0 | -2.7376 | -62.0751 | 2022-08-23 04:20:56 | Roraima, Brazil | |||
2852597 | 2852597 | 2022-08-22 | Brazil | Santa Catarina | 1856775 | 22330 | 0 | -27.2423 | -50.2189 | 2022-08-23 04:20:56 | Santa Catarina, Brazil | |||
2852598 | 2852598 | 2022-08-22 | Brazil | Sao Paulo | 5999264 | 173920 | 0 | -23.5505 | -46.6333 | 2022-08-23 04:20:56 | Sao Paulo, Brazil | |||
2852599 | 2852599 | 2022-08-22 | Brazil | Sergipe | 342527 | 6426 | 0 | -10.5741 | -37.3857 | 2022-08-23 04:20:56 | Sergipe, Brazil | |||
2852600 | 2852600 | 2022-08-22 | Brazil | Tocantins | 342776 | 4193 | 0 | -10.1753 | -48.2982 | 2022-08-23 04:20:56 | 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]);