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 = "2022-10-20 04:22:59" 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
197971 | 197971 | 2022-10-19 | Brazil | Acre | 149756 | 2029 | 0 | -9.0238 | -70.812 | 2022-10-20 04:22:59 | Acre, Brazil | |||
197972 | 197972 | 2022-10-19 | Brazil | Alagoas | 321346 | 7128 | 0 | -9.5713 | -36.782 | 2022-10-20 04:22:59 | Alagoas, Brazil | |||
197973 | 197973 | 2022-10-19 | Brazil | Amapa | 178342 | 2164 | 0 | 0.902 | -52.003 | 2022-10-20 04:22:59 | Amapa, Brazil | |||
197974 | 197974 | 2022-10-19 | Brazil | Amazonas | 617179 | 14348 | 0 | -3.4168 | -65.8561 | 2022-10-20 04:22:59 | Amazonas, Brazil | |||
197975 | 197975 | 2022-10-19 | Brazil | Bahia | 1701630 | 30756 | 0 | -12.5797 | -41.7007 | 2022-10-20 04:22:59 | Bahia, Brazil | |||
197976 | 197976 | 2022-10-19 | Brazil | Ceara | 1385459 | 27753 | 0 | -5.4984 | -39.3206 | 2022-10-20 04:22:59 | Ceara, Brazil | |||
197977 | 197977 | 2022-10-19 | Brazil | Distrito Federal | 842065 | 11831 | 0 | -15.7998 | -47.8645 | 2022-10-20 04:22:59 | Distrito Federal, Brazil | |||
197978 | 197978 | 2022-10-19 | Brazil | Espirito Santo | 1216934 | 14827 | 0 | -19.1834 | -40.3089 | 2022-10-20 04:22:59 | Espirito Santo, Brazil | |||
197979 | 197979 | 2022-10-19 | Brazil | Goias | 1718139 | 27571 | 0 | -15.827 | -49.8362 | 2022-10-20 04:22:59 | Goias, Brazil | |||
197980 | 197980 | 2022-10-19 | Brazil | Maranhao | 474053 | 10993 | 0 | -4.9609 | -45.2744 | 2022-10-20 04:22:59 | Maranhao, Brazil | |||
197981 | 197981 | 2022-10-19 | Brazil | Mato Grosso | 831672 | 14953 | 0 | -12.6819 | -56.9211 | 2022-10-20 04:22:59 | Mato Grosso, Brazil | |||
197982 | 197982 | 2022-10-19 | Brazil | Mato Grosso do Sul | 581591 | 10841 | 0 | -20.7722 | -54.7852 | 2022-10-20 04:22:59 | Mato Grosso do Sul, Brazil | |||
197983 | 197983 | 2022-10-19 | Brazil | Minas Gerais | 3882361 | 63847 | 0 | -18.5122 | -44.555 | 2022-10-20 04:22:59 | Minas Gerais, Brazil | |||
197984 | 197984 | 2022-10-19 | Brazil | Para | 843103 | 18878 | 0 | -1.9981 | -54.9306 | 2022-10-20 04:22:59 | Para, Brazil | |||
197985 | 197985 | 2022-10-19 | Brazil | Paraiba | 653937 | 10406 | 0 | -7.24 | -36.782 | 2022-10-20 04:22:59 | Paraiba, Brazil | |||
197986 | 197986 | 2022-10-19 | Brazil | Parana | 2751580 | 45395 | 0 | -25.2521 | -52.0215 | 2022-10-20 04:22:59 | Parana, Brazil | |||
197987 | 197987 | 2022-10-19 | Brazil | Pernambuco | 1062108 | 22366 | 0 | -8.8137 | -36.9541 | 2022-10-20 04:22:59 | Pernambuco, Brazil | |||
197988 | 197988 | 2022-10-19 | Brazil | Piaui | 404034 | 7958 | 0 | -7.7183 | -42.7289 | 2022-10-20 04:22:59 | Piaui, Brazil | |||
197989 | 197989 | 2022-10-19 | Brazil | Rio Grande do Norte | 557367 | 8472 | 0 | -5.4026 | -36.9541 | 2022-10-20 04:22:59 | Rio Grande do Norte, Brazil | |||
197990 | 197990 | 2022-10-19 | Brazil | Rio Grande do Sul | 2741730 | 41164 | 0 | -30.0346 | -51.2177 | 2022-10-20 04:22:59 | Rio Grande do Sul, Brazil | |||
197991 | 197991 | 2022-10-19 | Brazil | Rio de Janeiro | 2528836 | 75776 | 0 | -22.9068 | -43.1729 | 2022-10-20 04:22:59 | Rio de Janeiro, Brazil | |||
197992 | 197992 | 2022-10-19 | Brazil | Rondonia | 457313 | 7361 | 0 | -11.5057 | -63.5806 | 2022-10-20 04:22:59 | Rondonia, Brazil | |||
197993 | 197993 | 2022-10-19 | Brazil | Roraima | 175294 | 2175 | 0 | -2.7376 | -62.0751 | 2022-10-20 04:22:59 | Roraima, Brazil | |||
197994 | 197994 | 2022-10-19 | Brazil | Santa Catarina | 1881603 | 22415 | 0 | -27.2423 | -50.2189 | 2022-10-20 04:22:59 | Santa Catarina, Brazil | |||
197995 | 197995 | 2022-10-19 | Brazil | Sao Paulo | 6126367 | 175371 | 0 | -23.5505 | -46.6333 | 2022-10-20 04:22:59 | Sao Paulo, Brazil | |||
197996 | 197996 | 2022-10-19 | Brazil | Sergipe | 342908 | 6440 | 0 | -10.5741 | -37.3857 | 2022-10-20 04:22:59 | Sergipe, Brazil | |||
197997 | 197997 | 2022-10-19 | Brazil | Tocantins | 344613 | 4205 | 0 | -10.1753 | -48.2982 | 2022-10-20 04:22:59 | 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]);