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 = "2022-09-25 04:23:31" sorted by day descending
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Suggested facets: last_update (date)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2649496 | 2649496 | 2022-09-24 | Brazil | Acre | 149667 | 2029 | 0 | -9.0238 | -70.812 | 2022-09-25 04:23:31 | Acre, Brazil | |||
2649497 | 2649497 | 2022-09-24 | Brazil | Alagoas | 320937 | 7121 | 0 | -9.5713 | -36.782 | 2022-09-25 04:23:31 | Alagoas, Brazil | |||
2649498 | 2649498 | 2022-09-24 | Brazil | Amapa | 178261 | 2163 | 0 | 0.902 | -52.003 | 2022-09-25 04:23:31 | Amapa, Brazil | |||
2649499 | 2649499 | 2022-09-24 | Brazil | Amazonas | 616038 | 14320 | 0 | -3.4168 | -65.8561 | 2022-09-25 04:23:31 | Amazonas, Brazil | |||
2649500 | 2649500 | 2022-09-24 | Brazil | Bahia | 1695377 | 30696 | 0 | -12.5797 | -41.7007 | 2022-09-25 04:23:31 | Bahia, Brazil | |||
2649501 | 2649501 | 2022-09-24 | Brazil | Ceara | 1383661 | 27637 | 0 | -5.4984 | -39.3206 | 2022-09-25 04:23:31 | Ceara, Brazil | |||
2649502 | 2649502 | 2022-09-24 | Brazil | Distrito Federal | 838675 | 11829 | 0 | -15.7998 | -47.8645 | 2022-09-25 04:23:31 | Distrito Federal, Brazil | |||
2649503 | 2649503 | 2022-09-24 | Brazil | Espirito Santo | 1215085 | 14815 | 0 | -19.1834 | -40.3089 | 2022-09-25 04:23:31 | Espirito Santo, Brazil | |||
2649504 | 2649504 | 2022-09-24 | Brazil | Goias | 1698544 | 27522 | 0 | -15.827 | -49.8362 | 2022-09-25 04:23:31 | Goias, Brazil | |||
2649505 | 2649505 | 2022-09-24 | Brazil | Maranhao | 471486 | 10993 | 0 | -4.9609 | -45.2744 | 2022-09-25 04:23:31 | Maranhao, Brazil | |||
2649506 | 2649506 | 2022-09-24 | Brazil | Mato Grosso | 829862 | 14944 | 0 | -12.6819 | -56.9211 | 2022-09-25 04:23:31 | Mato Grosso, Brazil | |||
2649507 | 2649507 | 2022-09-24 | Brazil | Mato Grosso do Sul | 580144 | 10832 | 0 | -20.7722 | -54.7852 | 2022-09-25 04:23:31 | Mato Grosso do Sul, Brazil | |||
2649508 | 2649508 | 2022-09-24 | Brazil | Minas Gerais | 3879291 | 63768 | 0 | -18.5122 | -44.555 | 2022-09-25 04:23:31 | Minas Gerais, Brazil | |||
2649509 | 2649509 | 2022-09-24 | Brazil | Para | 838855 | 18830 | 0 | -1.9981 | -54.9306 | 2022-09-25 04:23:31 | Para, Brazil | |||
2649510 | 2649510 | 2022-09-24 | Brazil | Paraiba | 652760 | 10403 | 0 | -7.24 | -36.782 | 2022-09-25 04:23:31 | Paraiba, Brazil | |||
2649511 | 2649511 | 2022-09-24 | Brazil | Parana | 2746346 | 45303 | 0 | -25.2521 | -52.0215 | 2022-09-25 04:23:31 | Parana, Brazil | |||
2649512 | 2649512 | 2022-09-24 | Brazil | Pernambuco | 1056537 | 22275 | 0 | -8.8137 | -36.9541 | 2022-09-25 04:23:31 | Pernambuco, Brazil | |||
2649513 | 2649513 | 2022-09-24 | Brazil | Piaui | 401799 | 7952 | 0 | -7.7183 | -42.7289 | 2022-09-25 04:23:31 | Piaui, Brazil | |||
2649514 | 2649514 | 2022-09-24 | Brazil | Rio Grande do Norte | 556567 | 8455 | 0 | -5.4026 | -36.9541 | 2022-09-25 04:23:31 | Rio Grande do Norte, Brazil | |||
2649515 | 2649515 | 2022-09-24 | Brazil | Rio Grande do Sul | 2730709 | 41043 | 0 | -30.0346 | -51.2177 | 2022-09-25 04:23:31 | Rio Grande do Sul, Brazil | |||
2649516 | 2649516 | 2022-09-24 | Brazil | Rio de Janeiro | 2509071 | 75665 | 0 | -22.9068 | -43.1729 | 2022-09-25 04:23:31 | Rio de Janeiro, Brazil | |||
2649517 | 2649517 | 2022-09-24 | Brazil | Rondonia | 456292 | 7359 | 0 | -11.5057 | -63.5806 | 2022-09-25 04:23:31 | Rondonia, Brazil | |||
2649518 | 2649518 | 2022-09-24 | Brazil | Roraima | 175007 | 2173 | 0 | -2.7376 | -62.0751 | 2022-09-25 04:23:31 | Roraima, Brazil | |||
2649519 | 2649519 | 2022-09-24 | Brazil | Santa Catarina | 1874493 | 22392 | 0 | -27.2423 | -50.2189 | 2022-09-25 04:23:31 | Santa Catarina, Brazil | |||
2649520 | 2649520 | 2022-09-24 | Brazil | Sao Paulo | 6081683 | 174593 | 0 | -23.5505 | -46.6333 | 2022-09-25 04:23:31 | Sao Paulo, Brazil | |||
2649521 | 2649521 | 2022-09-24 | Brazil | Sergipe | 342879 | 6434 | 0 | -10.5741 | -37.3857 | 2022-09-25 04:23:31 | Sergipe, Brazil | |||
2649522 | 2649522 | 2022-09-24 | Brazil | Tocantins | 344401 | 4204 | 0 | -10.1753 | -48.2982 | 2022-09-25 04:23:31 | 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]);