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 2022-02-27 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3045890 | 3045890 | 2022-02-26 | Brazil | Acre | 120569 | 1969 | 0 | -9.0238 | -70.812 | 2022-02-27 04:21:04 | Acre, Brazil | |||
3045891 | 3045891 | 2022-02-26 | Brazil | Alagoas | 290568 | 6666 | 0 | -9.5713 | -36.782 | 2022-02-27 04:21:04 | Alagoas, Brazil | |||
3045892 | 3045892 | 2022-02-26 | Brazil | Amapa | 160078 | 2102 | 0 | 0.902 | -52.003 | 2022-02-27 04:21:04 | Amapa, Brazil | |||
3045893 | 3045893 | 2022-02-26 | Brazil | Amazonas | 573001 | 14115 | 0 | -3.4168 | -65.8561 | 2022-02-27 04:21:04 | Amazonas, Brazil | |||
3045894 | 3045894 | 2022-02-26 | Brazil | Bahia | 1501100 | 29143 | 0 | -12.5797 | -41.7007 | 2022-02-27 04:21:04 | Bahia, Brazil | |||
3045895 | 3045895 | 2022-02-26 | Brazil | Ceara | 1226040 | 26286 | 0 | -5.4984 | -39.3206 | 2022-02-27 04:21:04 | Ceara, Brazil | |||
3045896 | 3045896 | 2022-02-26 | Brazil | Distrito Federal | 680841 | 11409 | 0 | -15.7998 | -47.8645 | 2022-02-27 04:21:04 | Distrito Federal, Brazil | |||
3045897 | 3045897 | 2022-02-26 | Brazil | Espirito Santo | 1021032 | 14114 | 0 | -19.1834 | -40.3089 | 2022-02-27 04:21:04 | Espirito Santo, Brazil | |||
3045898 | 3045898 | 2022-02-26 | Brazil | Goias | 1166106 | 25738 | 0 | -15.827 | -49.8362 | 2022-02-27 04:21:04 | Goias, Brazil | |||
3045899 | 3045899 | 2022-02-26 | Brazil | Maranhao | 412820 | 10773 | 0 | -4.9609 | -45.2744 | 2022-02-27 04:21:04 | Maranhao, Brazil | |||
3045900 | 3045900 | 2022-02-26 | Brazil | Mato Grosso | 705050 | 14706 | 0 | -12.6819 | -56.9211 | 2022-02-27 04:21:04 | Mato Grosso, Brazil | |||
3045901 | 3045901 | 2022-02-26 | Brazil | Mato Grosso do Sul | 498438 | 10303 | 0 | -20.7722 | -54.7852 | 2022-02-27 04:21:04 | Mato Grosso do Sul, Brazil | |||
3045902 | 3045902 | 2022-02-26 | Brazil | Minas Gerais | 3193975 | 59589 | 0 | -18.5122 | -44.555 | 2022-02-27 04:21:04 | Minas Gerais, Brazil | |||
3045903 | 3045903 | 2022-02-26 | Brazil | Para | 716501 | 17782 | 0 | -1.9981 | -54.9306 | 2022-02-27 04:21:04 | Para, Brazil | |||
3045904 | 3045904 | 2022-02-26 | Brazil | Paraiba | 573710 | 10080 | 0 | -7.24 | -36.782 | 2022-02-27 04:21:04 | Paraiba, Brazil | |||
3045905 | 3045905 | 2022-02-26 | Brazil | Parana | 2325021 | 42281 | 0 | -25.2521 | -52.0215 | 2022-02-27 04:21:04 | Parana, Brazil | |||
3045906 | 3045906 | 2022-02-26 | Brazil | Pernambuco | 828330 | 21058 | 0 | -8.8137 | -36.9541 | 2022-02-27 04:21:04 | Pernambuco, Brazil | |||
3045907 | 3045907 | 2022-02-26 | Brazil | Piaui | 365032 | 7640 | 0 | -7.7183 | -42.7289 | 2022-02-27 04:21:04 | Piaui, Brazil | |||
3045908 | 3045908 | 2022-02-26 | Brazil | Rio Grande do Norte | 477170 | 8047 | 0 | -5.4026 | -36.9541 | 2022-02-27 04:21:04 | Rio Grande do Norte, Brazil | |||
3045909 | 3045909 | 2022-02-26 | Brazil | Rio Grande do Sul | 2151960 | 38259 | 0 | -30.0346 | -51.2177 | 2022-02-27 04:21:04 | Rio Grande do Sul, Brazil | |||
3045910 | 3045910 | 2022-02-26 | Brazil | Rio de Janeiro | 1993810 | 71723 | 0 | -22.9068 | -43.1729 | 2022-02-27 04:21:04 | Rio de Janeiro, Brazil | |||
3045911 | 3045911 | 2022-02-26 | Brazil | Rondonia | 372266 | 7057 | 0 | -11.5057 | -63.5806 | 2022-02-27 04:21:04 | Rondonia, Brazil | |||
3045912 | 3045912 | 2022-02-26 | Brazil | Roraima | 153208 | 2131 | 0 | -2.7376 | -62.0751 | 2022-02-27 04:21:04 | Roraima, Brazil | |||
3045913 | 3045913 | 2022-02-26 | Brazil | Santa Catarina | 1613315 | 21347 | 0 | -27.2423 | -50.2189 | 2022-02-27 04:21:04 | Santa Catarina, Brazil | |||
3045914 | 3045914 | 2022-02-26 | Brazil | Sao Paulo | 5010949 | 164516 | 0 | -23.5505 | -46.6333 | 2022-02-27 04:21:04 | Sao Paulo, Brazil | |||
3045915 | 3045915 | 2022-02-26 | Brazil | Sergipe | 320273 | 6244 | 0 | -10.5741 | -37.3857 | 2022-02-27 04:21:04 | Sergipe, Brazil | |||
3045916 | 3045916 | 2022-02-26 | Brazil | Tocantins | 298389 | 4106 | 0 | -10.1753 | -48.2982 | 2022-02-27 04:21:04 | 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]);