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 2022-04-11 sorted by day descending
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Suggested facets: longitude
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3205979 | 3205979 | 2022-04-11 | Brazil | Acre | 123825 | 1996 | 0 | -9.0238 | -70.812 | 2022-04-12 04:20:49 | Acre, Brazil | |||
3205980 | 3205980 | 2022-04-11 | Brazil | Alagoas | 297083 | 6907 | 0 | -9.5713 | -36.782 | 2022-04-12 04:20:49 | Alagoas, Brazil | |||
3205981 | 3205981 | 2022-04-11 | Brazil | Amapa | 160361 | 2128 | 0 | 0.902 | -52.003 | 2022-04-12 04:20:49 | Amapa, Brazil | |||
3205982 | 3205982 | 2022-04-11 | Brazil | Amazonas | 581679 | 14161 | 0 | -3.4168 | -65.8561 | 2022-04-12 04:20:49 | Amazonas, Brazil | |||
3205983 | 3205983 | 2022-04-11 | Brazil | Bahia | 1536850 | 29777 | 0 | -12.5797 | -41.7007 | 2022-04-12 04:20:49 | Bahia, Brazil | |||
3205984 | 3205984 | 2022-04-11 | Brazil | Ceara | 1242874 | 26819 | 0 | -5.4984 | -39.3206 | 2022-04-12 04:20:49 | Ceara, Brazil | |||
3205985 | 3205985 | 2022-04-11 | Brazil | Distrito Federal | 693668 | 11615 | 0 | -15.7998 | -47.8645 | 2022-04-12 04:20:49 | Distrito Federal, Brazil | |||
3205986 | 3205986 | 2022-04-11 | Brazil | Espirito Santo | 1042698 | 14362 | 0 | -19.1834 | -40.3089 | 2022-04-12 04:20:49 | Espirito Santo, Brazil | |||
3205987 | 3205987 | 2022-04-11 | Brazil | Goias | 1306644 | 26348 | 0 | -15.827 | -49.8362 | 2022-04-12 04:20:49 | Goias, Brazil | |||
3205988 | 3205988 | 2022-04-11 | Brazil | Maranhao | 428406 | 10878 | 0 | -4.9609 | -45.2744 | 2022-04-12 04:20:49 | Maranhao, Brazil | |||
3205989 | 3205989 | 2022-04-11 | Brazil | Mato Grosso | 724653 | 14854 | 0 | -12.6819 | -56.9211 | 2022-04-12 04:20:49 | Mato Grosso, Brazil | |||
3205990 | 3205990 | 2022-04-11 | Brazil | Mato Grosso do Sul | 526099 | 10513 | 0 | -20.7722 | -54.7852 | 2022-04-12 04:20:49 | Mato Grosso do Sul, Brazil | |||
3205991 | 3205991 | 2022-04-11 | Brazil | Minas Gerais | 3345164 | 61046 | 0 | -18.5122 | -44.555 | 2022-04-12 04:20:49 | Minas Gerais, Brazil | |||
3205992 | 3205992 | 2022-04-11 | Brazil | Para | 759029 | 18157 | 0 | -1.9981 | -54.9306 | 2022-04-12 04:20:49 | Para, Brazil | |||
3205993 | 3205993 | 2022-04-11 | Brazil | Paraiba | 599615 | 10197 | 0 | -7.24 | -36.782 | 2022-04-12 04:20:49 | Paraiba, Brazil | |||
3205994 | 3205994 | 2022-04-11 | Brazil | Parana | 2427274 | 42978 | 0 | -25.2521 | -52.0215 | 2022-04-12 04:20:49 | Parana, Brazil | |||
3205995 | 3205995 | 2022-04-11 | Brazil | Pernambuco | 908538 | 21491 | 0 | -8.8137 | -36.9541 | 2022-04-12 04:20:49 | Pernambuco, Brazil | |||
3205996 | 3205996 | 2022-04-11 | Brazil | Piaui | 367889 | 7733 | 0 | -7.7183 | -42.7289 | 2022-04-12 04:20:49 | Piaui, Brazil | |||
3205997 | 3205997 | 2022-04-11 | Brazil | Rio Grande do Norte | 500503 | 8153 | 0 | -5.4026 | -36.9541 | 2022-04-12 04:20:49 | Rio Grande do Norte, Brazil | |||
3205998 | 3205998 | 2022-04-11 | Brazil | Rio Grande do Sul | 2297644 | 39160 | 0 | -30.0346 | -51.2177 | 2022-04-12 04:20:49 | Rio Grande do Sul, Brazil | |||
3205999 | 3205999 | 2022-04-11 | Brazil | Rio de Janeiro | 2111868 | 73073 | 0 | -22.9068 | -43.1729 | 2022-04-12 04:20:49 | Rio de Janeiro, Brazil | |||
3206000 | 3206000 | 2022-04-11 | Brazil | Rondonia | 396931 | 7192 | 0 | -11.5057 | -63.5806 | 2022-04-12 04:20:49 | Rondonia, Brazil | |||
3206001 | 3206001 | 2022-04-11 | Brazil | Roraima | 155295 | 2146 | 0 | -2.7376 | -62.0751 | 2022-04-12 04:20:49 | Roraima, Brazil | |||
3206002 | 3206002 | 2022-04-11 | Brazil | Santa Catarina | 1686457 | 21704 | 0 | -27.2423 | -50.2189 | 2022-04-12 04:20:49 | Santa Catarina, Brazil | |||
3206003 | 3206003 | 2022-04-11 | Brazil | Sao Paulo | 5310464 | 167706 | 0 | -23.5505 | -46.6333 | 2022-04-12 04:20:49 | Sao Paulo, Brazil | |||
3206004 | 3206004 | 2022-04-11 | Brazil | Sergipe | 326774 | 6335 | 0 | -10.5741 | -37.3857 | 2022-04-12 04:20:49 | Sergipe, Brazil | |||
3206005 | 3206005 | 2022-04-11 | Brazil | Tocantins | 303624 | 4147 | 0 | -10.1753 | -48.2982 | 2022-04-12 04:20:49 | 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]);