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 2022-04-25 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3721914 | 3721914 | 2022-04-25 | Brazil | Acre | 124670 | 2000 | 0 | -9.0238 | -70.812 | 2022-04-26 04:20:51 | Acre, Brazil | |||
3721915 | 3721915 | 2022-04-25 | Brazil | Alagoas | 297805 | 6921 | 0 | -9.5713 | -36.782 | 2022-04-26 04:20:51 | Alagoas, Brazil | |||
3721916 | 3721916 | 2022-04-25 | Brazil | Amapa | 160380 | 2130 | 0 | 0.902 | -52.003 | 2022-04-26 04:20:51 | Amapa, Brazil | |||
3721917 | 3721917 | 2022-04-25 | Brazil | Amazonas | 581977 | 14169 | 0 | -3.4168 | -65.8561 | 2022-04-26 04:20:51 | Amazonas, Brazil | |||
3721918 | 3721918 | 2022-04-25 | Brazil | Bahia | 1541096 | 29843 | 0 | -12.5797 | -41.7007 | 2022-04-26 04:20:51 | Bahia, Brazil | |||
3721919 | 3721919 | 2022-04-25 | Brazil | Ceara | 1243975 | 26876 | 0 | -5.4984 | -39.3206 | 2022-04-26 04:20:51 | Ceara, Brazil | |||
3721920 | 3721920 | 2022-04-25 | Brazil | Distrito Federal | 695950 | 11644 | 0 | -15.7998 | -47.8645 | 2022-04-26 04:20:51 | Distrito Federal, Brazil | |||
3721921 | 3721921 | 2022-04-25 | Brazil | Espirito Santo | 1045795 | 14391 | 0 | -19.1834 | -40.3089 | 2022-04-26 04:20:51 | Espirito Santo, Brazil | |||
3721922 | 3721922 | 2022-04-25 | Brazil | Goias | 1320958 | 26416 | 0 | -15.827 | -49.8362 | 2022-04-26 04:20:51 | Goias, Brazil | |||
3721923 | 3721923 | 2022-04-25 | Brazil | Maranhao | 431168 | 10879 | 0 | -4.9609 | -45.2744 | 2022-04-26 04:20:51 | Maranhao, Brazil | |||
3721924 | 3721924 | 2022-04-25 | Brazil | Mato Grosso | 726689 | 14854 | 0 | -12.6819 | -56.9211 | 2022-04-26 04:20:51 | Mato Grosso, Brazil | |||
3721925 | 3721925 | 2022-04-25 | Brazil | Mato Grosso do Sul | 528353 | 10521 | 0 | -20.7722 | -54.7852 | 2022-04-26 04:20:51 | Mato Grosso do Sul, Brazil | |||
3721926 | 3721926 | 2022-04-25 | Brazil | Minas Gerais | 3352736 | 61227 | 0 | -18.5122 | -44.555 | 2022-04-26 04:20:51 | Minas Gerais, Brazil | |||
3721927 | 3721927 | 2022-04-25 | Brazil | Para | 763130 | 18238 | 0 | -1.9981 | -54.9306 | 2022-04-26 04:20:51 | Para, Brazil | |||
3721928 | 3721928 | 2022-04-25 | Brazil | Paraiba | 601512 | 10204 | 0 | -7.24 | -36.782 | 2022-04-26 04:20:51 | Paraiba, Brazil | |||
3721929 | 3721929 | 2022-04-25 | Brazil | Parana | 2443926 | 43075 | 0 | -25.2521 | -52.0215 | 2022-04-26 04:20:51 | Parana, Brazil | |||
3721930 | 3721930 | 2022-04-25 | Brazil | Pernambuco | 919107 | 21575 | 0 | -8.8137 | -36.9541 | 2022-04-26 04:20:51 | Pernambuco, Brazil | |||
3721931 | 3721931 | 2022-04-25 | Brazil | Piaui | 368023 | 7735 | 0 | -7.7183 | -42.7289 | 2022-04-26 04:20:51 | Piaui, Brazil | |||
3721932 | 3721932 | 2022-04-25 | Brazil | Rio Grande do Norte | 502666 | 8171 | 0 | -5.4026 | -36.9541 | 2022-04-26 04:20:51 | Rio Grande do Norte, Brazil | |||
3721933 | 3721933 | 2022-04-25 | Brazil | Rio Grande do Sul | 2323259 | 39255 | 0 | -30.0346 | -51.2177 | 2022-04-26 04:20:51 | Rio Grande do Sul, Brazil | |||
3721934 | 3721934 | 2022-04-25 | Brazil | Rio de Janeiro | 2133169 | 73233 | 0 | -22.9068 | -43.1729 | 2022-04-26 04:20:51 | Rio de Janeiro, Brazil | |||
3721935 | 3721935 | 2022-04-25 | Brazil | Rondonia | 400990 | 7200 | 0 | -11.5057 | -63.5806 | 2022-04-26 04:20:51 | Rondonia, Brazil | |||
3721936 | 3721936 | 2022-04-25 | Brazil | Roraima | 155411 | 2147 | 0 | -2.7376 | -62.0751 | 2022-04-26 04:20:51 | Roraima, Brazil | |||
3721937 | 3721937 | 2022-04-25 | Brazil | Santa Catarina | 1697780 | 21759 | 0 | -27.2423 | -50.2189 | 2022-04-26 04:20:51 | Santa Catarina, Brazil | |||
3721938 | 3721938 | 2022-04-25 | Brazil | Sao Paulo | 5364097 | 168009 | 0 | -23.5505 | -46.6333 | 2022-04-26 04:20:51 | Sao Paulo, Brazil | |||
3721939 | 3721939 | 2022-04-25 | Brazil | Sergipe | 327026 | 6342 | 0 | -10.5741 | -37.3857 | 2022-04-26 04:20:51 | Sergipe, Brazil | |||
3721940 | 3721940 | 2022-04-25 | Brazil | Tocantins | 304271 | 4150 | 0 | -10.1753 | -48.2982 | 2022-04-26 04:20:51 | 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]);