johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
27 rows where country_or_region = "Brazil" and "day" 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2505772 | 2505772 | 2022-11-10 | Brazil | Acre | 150005 | 2029 | 0 | -9.0238 | -70.812 | 2022-11-11 04:21:22 | Acre, Brazil | |||
2505773 | 2505773 | 2022-11-10 | Brazil | Alagoas | 321687 | 7130 | 0 | -9.5713 | -36.782 | 2022-11-11 04:21:22 | Alagoas, Brazil | |||
2505774 | 2505774 | 2022-11-10 | Brazil | Amapa | 178608 | 2164 | 0 | 0.902 | -52.003 | 2022-11-11 04:21:22 | Amapa, Brazil | |||
2505775 | 2505775 | 2022-11-10 | Brazil | Amazonas | 620680 | 14367 | 0 | -3.4168 | -65.8561 | 2022-11-11 04:21:22 | Amazonas, Brazil | |||
2505776 | 2505776 | 2022-11-10 | Brazil | Bahia | 1705450 | 30800 | 0 | -12.5797 | -41.7007 | 2022-11-11 04:21:22 | Bahia, Brazil | |||
2505777 | 2505777 | 2022-11-10 | Brazil | Ceara | 1387267 | 28013 | 0 | -5.4984 | -39.3206 | 2022-11-11 04:21:22 | Ceara, Brazil | |||
2505778 | 2505778 | 2022-11-10 | Brazil | Distrito Federal | 843761 | 11832 | 0 | -15.7998 | -47.8645 | 2022-11-11 04:21:22 | Distrito Federal, Brazil | |||
2505779 | 2505779 | 2022-11-10 | Brazil | Espirito Santo | 1218319 | 14836 | 0 | -19.1834 | -40.3089 | 2022-11-11 04:21:22 | Espirito Santo, Brazil | |||
2505780 | 2505780 | 2022-11-10 | Brazil | Goias | 1733327 | 27591 | 0 | -15.827 | -49.8362 | 2022-11-11 04:21:22 | Goias, Brazil | |||
2505781 | 2505781 | 2022-11-10 | Brazil | Maranhao | 475037 | 10998 | 0 | -4.9609 | -45.2744 | 2022-11-11 04:21:22 | Maranhao, Brazil | |||
2505782 | 2505782 | 2022-11-10 | Brazil | Mato Grosso | 832881 | 14958 | 0 | -12.6819 | -56.9211 | 2022-11-11 04:21:22 | Mato Grosso, Brazil | |||
2505783 | 2505783 | 2022-11-10 | Brazil | Mato Grosso do Sul | 582454 | 10846 | 0 | -20.7722 | -54.7852 | 2022-11-11 04:21:22 | Mato Grosso do Sul, Brazil | |||
2505784 | 2505784 | 2022-11-10 | Brazil | Minas Gerais | 3884996 | 63895 | 0 | -18.5122 | -44.555 | 2022-11-11 04:21:22 | Minas Gerais, Brazil | |||
2505785 | 2505785 | 2022-11-10 | Brazil | Para | 846765 | 18893 | 0 | -1.9981 | -54.9306 | 2022-11-11 04:21:22 | Para, Brazil | |||
2505786 | 2505786 | 2022-11-10 | Brazil | Paraiba | 654968 | 10407 | 0 | -7.24 | -36.782 | 2022-11-11 04:21:22 | Paraiba, Brazil | |||
2505787 | 2505787 | 2022-11-10 | Brazil | Parana | 2755399 | 45457 | 0 | -25.2521 | -52.0215 | 2022-11-11 04:21:22 | Parana, Brazil | |||
2505788 | 2505788 | 2022-11-10 | Brazil | Pernambuco | 1068118 | 22423 | 0 | -8.8137 | -36.9541 | 2022-11-11 04:21:22 | Pernambuco, Brazil | |||
2505789 | 2505789 | 2022-11-10 | Brazil | Piaui | 405043 | 7960 | 0 | -7.7183 | -42.7289 | 2022-11-11 04:21:22 | Piaui, Brazil | |||
2505790 | 2505790 | 2022-11-10 | Brazil | Rio Grande do Norte | 557834 | 8484 | 0 | -5.4026 | -36.9541 | 2022-11-11 04:21:22 | Rio Grande do Norte, Brazil | |||
2505791 | 2505791 | 2022-11-10 | Brazil | Rio Grande do Sul | 2749668 | 41218 | 0 | -30.0346 | -51.2177 | 2022-11-11 04:21:22 | Rio Grande do Sul, Brazil | |||
2505792 | 2505792 | 2022-11-10 | Brazil | Rio de Janeiro | 2550389 | 75896 | 0 | -22.9068 | -43.1729 | 2022-11-11 04:21:22 | Rio de Janeiro, Brazil | |||
2505793 | 2505793 | 2022-11-10 | Brazil | Rondonia | 457884 | 7362 | 0 | -11.5057 | -63.5806 | 2022-11-11 04:21:22 | Rondonia, Brazil | |||
2505794 | 2505794 | 2022-11-10 | Brazil | Roraima | 175874 | 2175 | 0 | -2.7376 | -62.0751 | 2022-11-11 04:21:22 | Roraima, Brazil | |||
2505795 | 2505795 | 2022-11-10 | Brazil | Santa Catarina | 1888190 | 22419 | 0 | -27.2423 | -50.2189 | 2022-11-11 04:21:22 | Santa Catarina, Brazil | |||
2505796 | 2505796 | 2022-11-10 | Brazil | Sao Paulo | 6157150 | 175804 | 0 | -23.5505 | -46.6333 | 2022-11-11 04:21:22 | Sao Paulo, Brazil | |||
2505797 | 2505797 | 2022-11-10 | Brazil | Sergipe | 342930 | 6443 | 0 | -10.5741 | -37.3857 | 2022-11-11 04:21:22 | Sergipe, Brazil | |||
2505798 | 2505798 | 2022-11-10 | Brazil | Tocantins | 344892 | 4207 | 0 | -10.1753 | -48.2982 | 2022-11-11 04:21:22 | 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]);