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 = "2022-11-12 04:20:41" sorted by day descending
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Suggested facets: longitude, day (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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2926936 | 2926936 | 2022-11-11 | Brazil | Acre | 150055 | 2029 | 0 | -9.0238 | -70.812 | 2022-11-12 04:20:41 | Acre, Brazil | |||
2926937 | 2926937 | 2022-11-11 | Brazil | Alagoas | 321709 | 7131 | 0 | -9.5713 | -36.782 | 2022-11-12 04:20:41 | Alagoas, Brazil | |||
2926938 | 2926938 | 2022-11-11 | Brazil | Amapa | 178709 | 2164 | 0 | 0.902 | -52.003 | 2022-11-12 04:20:41 | Amapa, Brazil | |||
2926939 | 2926939 | 2022-11-11 | Brazil | Amazonas | 620918 | 14369 | 0 | -3.4168 | -65.8561 | 2022-11-12 04:20:41 | Amazonas, Brazil | |||
2926940 | 2926940 | 2022-11-11 | Brazil | Bahia | 1705450 | 30800 | 0 | -12.5797 | -41.7007 | 2022-11-12 04:20:41 | Bahia, Brazil | |||
2926941 | 2926941 | 2022-11-11 | Brazil | Ceara | 1387542 | 28013 | 0 | -5.4984 | -39.3206 | 2022-11-12 04:20:41 | Ceara, Brazil | |||
2926942 | 2926942 | 2022-11-11 | Brazil | Distrito Federal | 844222 | 11832 | 0 | -15.7998 | -47.8645 | 2022-11-12 04:20:41 | Distrito Federal, Brazil | |||
2926943 | 2926943 | 2022-11-11 | Brazil | Espirito Santo | 1218518 | 14836 | 0 | -19.1834 | -40.3089 | 2022-11-12 04:20:41 | Espirito Santo, Brazil | |||
2926944 | 2926944 | 2022-11-11 | Brazil | Goias | 1735109 | 27593 | 0 | -15.827 | -49.8362 | 2022-11-12 04:20:41 | Goias, Brazil | |||
2926945 | 2926945 | 2022-11-11 | Brazil | Maranhao | 475284 | 10998 | 0 | -4.9609 | -45.2744 | 2022-11-12 04:20:41 | Maranhao, Brazil | |||
2926946 | 2926946 | 2022-11-11 | Brazil | Mato Grosso | 833011 | 14958 | 0 | -12.6819 | -56.9211 | 2022-11-12 04:20:41 | Mato Grosso, Brazil | |||
2926947 | 2926947 | 2022-11-11 | Brazil | Mato Grosso do Sul | 582454 | 10846 | 0 | -20.7722 | -54.7852 | 2022-11-12 04:20:41 | Mato Grosso do Sul, Brazil | |||
2926948 | 2926948 | 2022-11-11 | Brazil | Minas Gerais | 3885219 | 63897 | 0 | -18.5122 | -44.555 | 2022-11-12 04:20:41 | Minas Gerais, Brazil | |||
2926949 | 2926949 | 2022-11-11 | Brazil | Para | 846950 | 18895 | 0 | -1.9981 | -54.9306 | 2022-11-12 04:20:41 | Para, Brazil | |||
2926950 | 2926950 | 2022-11-11 | Brazil | Paraiba | 655228 | 10407 | 0 | -7.24 | -36.782 | 2022-11-12 04:20:41 | Paraiba, Brazil | |||
2926951 | 2926951 | 2022-11-11 | Brazil | Parana | 2755904 | 45458 | 0 | -25.2521 | -52.0215 | 2022-11-12 04:20:41 | Parana, Brazil | |||
2926952 | 2926952 | 2022-11-11 | Brazil | Pernambuco | 1068886 | 22427 | 0 | -8.8137 | -36.9541 | 2022-11-12 04:20:41 | Pernambuco, Brazil | |||
2926953 | 2926953 | 2022-11-11 | Brazil | Piaui | 405043 | 7960 | 0 | -7.7183 | -42.7289 | 2022-11-12 04:20:41 | Piaui, Brazil | |||
2926954 | 2926954 | 2022-11-11 | Brazil | Rio Grande do Norte | 557893 | 8484 | 0 | -5.4026 | -36.9541 | 2022-11-12 04:20:41 | Rio Grande do Norte, Brazil | |||
2926955 | 2926955 | 2022-11-11 | Brazil | Rio Grande do Sul | 2750475 | 41220 | 0 | -30.0346 | -51.2177 | 2022-11-12 04:20:41 | Rio Grande do Sul, Brazil | |||
2926956 | 2926956 | 2022-11-11 | Brazil | Rio de Janeiro | 2557979 | 75908 | 0 | -22.9068 | -43.1729 | 2022-11-12 04:20:41 | Rio de Janeiro, Brazil | |||
2926957 | 2926957 | 2022-11-11 | Brazil | Rondonia | 458001 | 7362 | 0 | -11.5057 | -63.5806 | 2022-11-12 04:20:41 | Rondonia, Brazil | |||
2926958 | 2926958 | 2022-11-11 | Brazil | Roraima | 175957 | 2175 | 0 | -2.7376 | -62.0751 | 2022-11-12 04:20:41 | Roraima, Brazil | |||
2926959 | 2926959 | 2022-11-11 | Brazil | Santa Catarina | 1888915 | 22419 | 0 | -27.2423 | -50.2189 | 2022-11-12 04:20:41 | Santa Catarina, Brazil | |||
2926960 | 2926960 | 2022-11-11 | Brazil | Sao Paulo | 6160930 | 175825 | 0 | -23.5505 | -46.6333 | 2022-11-12 04:20:41 | Sao Paulo, Brazil | |||
2926961 | 2926961 | 2022-11-11 | Brazil | Sergipe | 342945 | 6443 | 0 | -10.5741 | -37.3857 | 2022-11-12 04:20:41 | Sergipe, Brazil | |||
2926962 | 2926962 | 2022-11-11 | Brazil | Tocantins | 344892 | 4207 | 0 | -10.1753 | -48.2982 | 2022-11-12 04:20:41 | 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]);