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 = "2022-07-04 04:20:54" 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1767056 | 1767056 | 2022-07-03 | Brazil | Acre | 127066 | 2004 | 0 | -9.0238 | -70.812 | 2022-07-04 04:20:54 | Acre, Brazil | |||
1767057 | 1767057 | 2022-07-03 | Brazil | Alagoas | 307198 | 6960 | 0 | -9.5713 | -36.782 | 2022-07-04 04:20:54 | Alagoas, Brazil | |||
1767058 | 1767058 | 2022-07-03 | Brazil | Amapa | 161739 | 2140 | 0 | 0.902 | -52.003 | 2022-07-04 04:20:54 | Amapa, Brazil | |||
1767059 | 1767059 | 2022-07-03 | Brazil | Amazonas | 586360 | 14178 | 0 | -3.4168 | -65.8561 | 2022-07-04 04:20:54 | Amazonas, Brazil | |||
1767060 | 1767060 | 2022-07-03 | Brazil | Bahia | 1585183 | 30046 | 0 | -12.5797 | -41.7007 | 2022-07-04 04:20:54 | Bahia, Brazil | |||
1767061 | 1767061 | 2022-07-03 | Brazil | Ceara | 1270401 | 27216 | 0 | -5.4984 | -39.3206 | 2022-07-04 04:20:54 | Ceara, Brazil | |||
1767062 | 1767062 | 2022-07-03 | Brazil | Distrito Federal | 807705 | 11766 | 0 | -15.7998 | -47.8645 | 2022-07-04 04:20:54 | Distrito Federal, Brazil | |||
1767063 | 1767063 | 2022-07-03 | Brazil | Espirito Santo | 1129653 | 14507 | 0 | -19.1834 | -40.3089 | 2022-07-04 04:20:54 | Espirito Santo, Brazil | |||
1767064 | 1767064 | 2022-07-03 | Brazil | Goias | 1514208 | 26935 | 0 | -15.827 | -49.8362 | 2022-07-04 04:20:54 | Goias, Brazil | |||
1767065 | 1767065 | 2022-07-03 | Brazil | Maranhao | 443513 | 10896 | 0 | -4.9609 | -45.2744 | 2022-07-04 04:20:54 | Maranhao, Brazil | |||
1767066 | 1767066 | 2022-07-03 | Brazil | Mato Grosso | 761995 | 14715 | 0 | -12.6819 | -56.9211 | 2022-07-04 04:20:54 | Mato Grosso, Brazil | |||
1767067 | 1767067 | 2022-07-03 | Brazil | Mato Grosso do Sul | 552247 | 10626 | 0 | -20.7722 | -54.7852 | 2022-07-04 04:20:54 | Mato Grosso do Sul, Brazil | |||
1767068 | 1767068 | 2022-07-03 | Brazil | Minas Gerais | 3633464 | 62170 | 0 | -18.5122 | -44.555 | 2022-07-04 04:20:54 | Minas Gerais, Brazil | |||
1767069 | 1767069 | 2022-07-03 | Brazil | Para | 783858 | 18470 | 0 | -1.9981 | -54.9306 | 2022-07-04 04:20:54 | Para, Brazil | |||
1767070 | 1767070 | 2022-07-03 | Brazil | Paraiba | 622828 | 10266 | 0 | -7.24 | -36.782 | 2022-07-04 04:20:54 | Paraiba, Brazil | |||
1767071 | 1767071 | 2022-07-03 | Brazil | Parana | 2632690 | 43822 | 0 | -25.2521 | -52.0215 | 2022-07-04 04:20:54 | Parana, Brazil | |||
1767072 | 1767072 | 2022-07-03 | Brazil | Pernambuco | 983266 | 21880 | 0 | -8.8137 | -36.9541 | 2022-07-04 04:20:54 | Pernambuco, Brazil | |||
1767073 | 1767073 | 2022-07-03 | Brazil | Piaui | 373555 | 7769 | 0 | -7.7183 | -42.7289 | 2022-07-04 04:20:54 | Piaui, Brazil | |||
1767074 | 1767074 | 2022-07-03 | Brazil | Rio Grande do Norte | 528764 | 8274 | 0 | -5.4026 | -36.9541 | 2022-07-04 04:20:54 | Rio Grande do Norte, Brazil | |||
1767075 | 1767075 | 2022-07-03 | Brazil | Rio Grande do Sul | 2555963 | 40070 | 0 | -30.0346 | -51.2177 | 2022-07-04 04:20:54 | Rio Grande do Sul, Brazil | |||
1767076 | 1767076 | 2022-07-03 | Brazil | Rio de Janeiro | 2355371 | 74157 | 0 | -22.9068 | -43.1729 | 2022-07-04 04:20:54 | Rio de Janeiro, Brazil | |||
1767077 | 1767077 | 2022-07-03 | Brazil | Rondonia | 419461 | 7250 | 0 | -11.5057 | -63.5806 | 2022-07-04 04:20:54 | Rondonia, Brazil | |||
1767078 | 1767078 | 2022-07-03 | Brazil | Roraima | 160977 | 2153 | 0 | -2.7376 | -62.0751 | 2022-07-04 04:20:54 | Roraima, Brazil | |||
1767079 | 1767079 | 2022-07-03 | Brazil | Santa Catarina | 1797957 | 22048 | 0 | -27.2423 | -50.2189 | 2022-07-04 04:20:54 | Santa Catarina, Brazil | |||
1767080 | 1767080 | 2022-07-03 | Brazil | Sao Paulo | 5741923 | 171065 | 0 | -23.5505 | -46.6333 | 2022-07-04 04:20:54 | Sao Paulo, Brazil | |||
1767081 | 1767081 | 2022-07-03 | Brazil | Sergipe | 331203 | 6360 | 0 | -10.5741 | -37.3857 | 2022-07-04 04:20:54 | Sergipe, Brazil | |||
1767082 | 1767082 | 2022-07-03 | Brazil | Tocantins | 321874 | 4168 | 0 | -10.1753 | -48.2982 | 2022-07-04 04:20:54 | 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]);