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 2022-08-01 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3616794 | 3616794 | 2022-08-01 | Brazil | Acre | 144169 | 2018 | 0 | -9.0238 | -70.812 | 2022-08-02 04:20:53 | Acre, Brazil | |||
3616795 | 3616795 | 2022-08-01 | Brazil | Alagoas | 317943 | 7073 | 0 | -9.5713 | -36.782 | 2022-08-02 04:20:53 | Alagoas, Brazil | |||
3616796 | 3616796 | 2022-08-01 | Brazil | Amapa | 176626 | 2151 | 0 | 0.902 | -52.003 | 2022-08-02 04:20:53 | Amapa, Brazil | |||
3616797 | 3616797 | 2022-08-01 | Brazil | Amazonas | 605931 | 14227 | 0 | -3.4168 | -65.8561 | 2022-08-02 04:20:53 | Amazonas, Brazil | |||
3616798 | 3616798 | 2022-08-01 | Brazil | Bahia | 1660656 | 30362 | 0 | -12.5797 | -41.7007 | 2022-08-02 04:20:53 | Bahia, Brazil | |||
3616799 | 3616799 | 2022-08-01 | Brazil | Ceara | 1361660 | 27419 | 0 | -5.4984 | -39.3206 | 2022-08-02 04:20:53 | Ceara, Brazil | |||
3616800 | 3616800 | 2022-08-01 | Brazil | Distrito Federal | 831184 | 11820 | 0 | -15.7998 | -47.8645 | 2022-08-02 04:20:53 | Distrito Federal, Brazil | |||
3616801 | 3616801 | 2022-08-01 | Brazil | Espirito Santo | 1204080 | 14701 | 0 | -19.1834 | -40.3089 | 2022-08-02 04:20:53 | Espirito Santo, Brazil | |||
3616802 | 3616802 | 2022-08-01 | Brazil | Goias | 1629390 | 27189 | 0 | -15.827 | -49.8362 | 2022-08-02 04:20:53 | Goias, Brazil | |||
3616803 | 3616803 | 2022-08-01 | Brazil | Maranhao | 460843 | 10940 | 0 | -4.9609 | -45.2744 | 2022-08-02 04:20:53 | Maranhao, Brazil | |||
3616804 | 3616804 | 2022-08-01 | Brazil | Mato Grosso | 812393 | 14868 | 0 | -12.6819 | -56.9211 | 2022-08-02 04:20:53 | Mato Grosso, Brazil | |||
3616805 | 3616805 | 2022-08-01 | Brazil | Mato Grosso do Sul | 565453 | 10707 | 0 | -20.7722 | -54.7852 | 2022-08-02 04:20:53 | Mato Grosso do Sul, Brazil | |||
3616806 | 3616806 | 2022-08-01 | Brazil | Minas Gerais | 3820835 | 62958 | 0 | -18.5122 | -44.555 | 2022-08-02 04:20:53 | Minas Gerais, Brazil | |||
3616807 | 3616807 | 2022-08-01 | Brazil | Para | 811374 | 18545 | 0 | -1.9981 | -54.9306 | 2022-08-02 04:20:53 | Para, Brazil | |||
3616808 | 3616808 | 2022-08-01 | Brazil | Paraiba | 646239 | 10355 | 0 | -7.24 | -36.782 | 2022-08-02 04:20:53 | Paraiba, Brazil | |||
3616809 | 3616809 | 2022-08-01 | Brazil | Parana | 2693304 | 44504 | 0 | -25.2521 | -52.0215 | 2022-08-02 04:20:53 | Parana, Brazil | |||
3616810 | 3616810 | 2022-08-01 | Brazil | Pernambuco | 1029291 | 22049 | 0 | -8.8137 | -36.9541 | 2022-08-02 04:20:53 | Pernambuco, Brazil | |||
3616811 | 3616811 | 2022-08-01 | Brazil | Piaui | 386755 | 7885 | 0 | -7.7183 | -42.7289 | 2022-08-02 04:20:53 | Piaui, Brazil | |||
3616812 | 3616812 | 2022-08-01 | Brazil | Rio Grande do Norte | 546760 | 8400 | 0 | -5.4026 | -36.9541 | 2022-08-02 04:20:53 | Rio Grande do Norte, Brazil | |||
3616813 | 3616813 | 2022-08-01 | Brazil | Rio Grande do Sul | 2645894 | 40468 | 0 | -30.0346 | -51.2177 | 2022-08-02 04:20:53 | Rio Grande do Sul, Brazil | |||
3616814 | 3616814 | 2022-08-01 | Brazil | Rio de Janeiro | 2447828 | 74840 | 0 | -22.9068 | -43.1729 | 2022-08-02 04:20:53 | Rio de Janeiro, Brazil | |||
3616815 | 3616815 | 2022-08-01 | Brazil | Rondonia | 444416 | 7302 | 0 | -11.5057 | -63.5806 | 2022-08-02 04:20:53 | Rondonia, Brazil | |||
3616816 | 3616816 | 2022-08-01 | Brazil | Roraima | 172824 | 2158 | 0 | -2.7376 | -62.0751 | 2022-08-02 04:20:53 | Roraima, Brazil | |||
3616817 | 3616817 | 2022-08-01 | Brazil | Santa Catarina | 1839419 | 22230 | 0 | -27.2423 | -50.2189 | 2022-08-02 04:20:53 | Santa Catarina, Brazil | |||
3616818 | 3616818 | 2022-08-01 | Brazil | Sao Paulo | 5920259 | 172947 | 0 | -23.5505 | -46.6333 | 2022-08-02 04:20:53 | Sao Paulo, Brazil | |||
3616819 | 3616819 | 2022-08-01 | Brazil | Sergipe | 341137 | 6413 | 0 | -10.5741 | -37.3857 | 2022-08-02 04:20:53 | Sergipe, Brazil | |||
3616820 | 3616820 | 2022-08-01 | Brazil | Tocantins | 339301 | 4186 | 0 | -10.1753 | -48.2982 | 2022-08-02 04:20:53 | 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]);