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 2022-04-01 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3350366 | 3350366 | 2022-04-01 | Brazil | Acre | 123812 | 1992 | 0 | -9.0238 | -70.812 | 2022-04-02 04:20:47 | Acre, Brazil | |||
3350367 | 3350367 | 2022-04-01 | Brazil | Alagoas | 296226 | 6886 | 0 | -9.5713 | -36.782 | 2022-04-02 04:20:47 | Alagoas, Brazil | |||
3350368 | 3350368 | 2022-04-01 | Brazil | Amapa | 160346 | 2126 | 0 | 0.902 | -52.003 | 2022-04-02 04:20:47 | Amapa, Brazil | |||
3350369 | 3350369 | 2022-04-01 | Brazil | Amazonas | 581326 | 14155 | 0 | -3.4168 | -65.8561 | 2022-04-02 04:20:47 | Amazonas, Brazil | |||
3350370 | 3350370 | 2022-04-01 | Brazil | Bahia | 1533368 | 29718 | 0 | -12.5797 | -41.7007 | 2022-04-02 04:20:47 | Bahia, Brazil | |||
3350371 | 3350371 | 2022-04-01 | Brazil | Ceara | 1240834 | 26756 | 0 | -5.4984 | -39.3206 | 2022-04-02 04:20:47 | Ceara, Brazil | |||
3350372 | 3350372 | 2022-04-01 | Brazil | Distrito Federal | 692546 | 11588 | 0 | -15.7998 | -47.8645 | 2022-04-02 04:20:47 | Distrito Federal, Brazil | |||
3350373 | 3350373 | 2022-04-01 | Brazil | Espirito Santo | 1039630 | 14337 | 0 | -19.1834 | -40.3089 | 2022-04-02 04:20:47 | Espirito Santo, Brazil | |||
3350374 | 3350374 | 2022-04-01 | Brazil | Goias | 1282525 | 26269 | 0 | -15.827 | -49.8362 | 2022-04-02 04:20:47 | Goias, Brazil | |||
3350375 | 3350375 | 2022-04-01 | Brazil | Maranhao | 425962 | 10873 | 0 | -4.9609 | -45.2744 | 2022-04-02 04:20:47 | Maranhao, Brazil | |||
3350376 | 3350376 | 2022-04-01 | Brazil | Mato Grosso | 724653 | 14854 | 0 | -12.6819 | -56.9211 | 2022-04-02 04:20:47 | Mato Grosso, Brazil | |||
3350377 | 3350377 | 2022-04-01 | Brazil | Mato Grosso do Sul | 524596 | 10504 | 0 | -20.7722 | -54.7852 | 2022-04-02 04:20:47 | Mato Grosso do Sul, Brazil | |||
3350378 | 3350378 | 2022-04-01 | Brazil | Minas Gerais | 3329451 | 60879 | 0 | -18.5122 | -44.555 | 2022-04-02 04:20:47 | Minas Gerais, Brazil | |||
3350379 | 3350379 | 2022-04-01 | Brazil | Para | 755085 | 18106 | 0 | -1.9981 | -54.9306 | 2022-04-02 04:20:47 | Para, Brazil | |||
3350380 | 3350380 | 2022-04-01 | Brazil | Paraiba | 597101 | 10194 | 0 | -7.24 | -36.782 | 2022-04-02 04:20:47 | Paraiba, Brazil | |||
3350381 | 3350381 | 2022-04-01 | Brazil | Parana | 2415767 | 42933 | 0 | -25.2521 | -52.0215 | 2022-04-02 04:20:47 | Parana, Brazil | |||
3350382 | 3350382 | 2022-04-01 | Brazil | Pernambuco | 898815 | 21419 | 0 | -8.8137 | -36.9541 | 2022-04-02 04:20:47 | Pernambuco, Brazil | |||
3350383 | 3350383 | 2022-04-01 | Brazil | Piaui | 367701 | 7728 | 0 | -7.7183 | -42.7289 | 2022-04-02 04:20:47 | Piaui, Brazil | |||
3350384 | 3350384 | 2022-04-01 | Brazil | Rio Grande do Norte | 497669 | 8122 | 0 | -5.4026 | -36.9541 | 2022-04-02 04:20:47 | Rio Grande do Norte, Brazil | |||
3350385 | 3350385 | 2022-04-01 | Brazil | Rio Grande do Sul | 2277738 | 39076 | 0 | -30.0346 | -51.2177 | 2022-04-02 04:20:47 | Rio Grande do Sul, Brazil | |||
3350386 | 3350386 | 2022-04-01 | Brazil | Rio de Janeiro | 2092612 | 72858 | 0 | -22.9068 | -43.1729 | 2022-04-02 04:20:47 | Rio de Janeiro, Brazil | |||
3350387 | 3350387 | 2022-04-01 | Brazil | Rondonia | 394432 | 7180 | 0 | -11.5057 | -63.5806 | 2022-04-02 04:20:47 | Rondonia, Brazil | |||
3350388 | 3350388 | 2022-04-01 | Brazil | Roraima | 155172 | 2145 | 0 | -2.7376 | -62.0751 | 2022-04-02 04:20:47 | Roraima, Brazil | |||
3350389 | 3350389 | 2022-04-01 | Brazil | Santa Catarina | 1677565 | 21666 | 0 | -27.2423 | -50.2189 | 2022-04-02 04:20:47 | Santa Catarina, Brazil | |||
3350390 | 3350390 | 2022-04-01 | Brazil | Sao Paulo | 5264521 | 167437 | 0 | -23.5505 | -46.6333 | 2022-04-02 04:20:47 | Sao Paulo, Brazil | |||
3350391 | 3350391 | 2022-04-01 | Brazil | Sergipe | 326057 | 6319 | 0 | -10.5741 | -37.3857 | 2022-04-02 04:20:47 | Sergipe, Brazil | |||
3350392 | 3350392 | 2022-04-01 | Brazil | Tocantins | 303003 | 4145 | 0 | -10.1753 | -48.2982 | 2022-04-02 04:20:47 | 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]);