johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
54 rows where country_or_region = "Brazil" and "last_update" is on date 2022-05-26 sorted by day descending
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province_or_state 27
- Acre 2
- Alagoas 2
- Amapa 2
- Amazonas 2
- Bahia 2
- Ceara 2
- Distrito Federal 2
- Espirito Santo 2
- Goias 2
- Maranhao 2
- Mato Grosso 2
- Mato Grosso do Sul 2
- Minas Gerais 2
- Para 2
- Paraiba 2
- Parana 2
- Pernambuco 2
- Piaui 2
- Rio Grande do Norte 2
- Rio Grande do Sul 2
- Rio de Janeiro 2
- Rondonia 2
- Roraima 2
- Santa Catarina 2
- Sao Paulo 2
- Sergipe 2
- Tocantins 2
country_or_region 1
- Brazil · 54 ✖
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2047580 | 2047580 | 2022-05-25 | Brazil | Acre | 124974 | 2002 | 0 | -9.0238 | -70.812 | 2022-05-26 04:20:50 | Acre, Brazil | |||
2047581 | 2047581 | 2022-05-25 | Brazil | Alagoas | 298871 | 6936 | 0 | -9.5713 | -36.782 | 2022-05-26 04:20:50 | Alagoas, Brazil | |||
2047582 | 2047582 | 2022-05-25 | Brazil | Amapa | 160418 | 2133 | 0 | 0.902 | -52.003 | 2022-05-26 04:20:50 | Amapa, Brazil | |||
2047583 | 2047583 | 2022-05-25 | Brazil | Amazonas | 582734 | 14173 | 0 | -3.4168 | -65.8561 | 2022-05-26 04:20:50 | Amazonas, Brazil | |||
2047584 | 2047584 | 2022-05-25 | Brazil | Bahia | 1547372 | 29922 | 0 | -12.5797 | -41.7007 | 2022-05-26 04:20:50 | Bahia, Brazil | |||
2047585 | 2047585 | 2022-05-25 | Brazil | Ceara | 1246002 | 27051 | 0 | -5.4984 | -39.3206 | 2022-05-26 04:20:50 | Ceara, Brazil | |||
2047586 | 2047586 | 2022-05-25 | Brazil | Distrito Federal | 703602 | 11690 | 0 | -15.7998 | -47.8645 | 2022-05-26 04:20:50 | Distrito Federal, Brazil | |||
2047587 | 2047587 | 2022-05-25 | Brazil | Espirito Santo | 1051335 | 14405 | 0 | -19.1834 | -40.3089 | 2022-05-26 04:20:50 | Espirito Santo, Brazil | |||
2047588 | 2047588 | 2022-05-25 | Brazil | Goias | 1357565 | 26604 | 0 | -15.827 | -49.8362 | 2022-05-26 04:20:50 | Goias, Brazil | |||
2047589 | 2047589 | 2022-05-25 | Brazil | Maranhao | 437344 | 10888 | 0 | -4.9609 | -45.2744 | 2022-05-26 04:20:50 | Maranhao, Brazil | |||
2047590 | 2047590 | 2022-05-25 | Brazil | Mato Grosso | 731659 | 14852 | 0 | -12.6819 | -56.9211 | 2022-05-26 04:20:50 | Mato Grosso, Brazil | |||
2047591 | 2047591 | 2022-05-25 | Brazil | Mato Grosso do Sul | 532610 | 10565 | 0 | -20.7722 | -54.7852 | 2022-05-26 04:20:50 | Mato Grosso do Sul, Brazil | |||
2047592 | 2047592 | 2022-05-25 | Brazil | Minas Gerais | 3394187 | 61520 | 0 | -18.5122 | -44.555 | 2022-05-26 04:20:50 | Minas Gerais, Brazil | |||
2047593 | 2047593 | 2022-05-25 | Brazil | Para | 773846 | 18354 | 0 | -1.9981 | -54.9306 | 2022-05-26 04:20:50 | Para, Brazil | |||
2047594 | 2047594 | 2022-05-25 | Brazil | Paraiba | 604539 | 10220 | 0 | -7.24 | -36.782 | 2022-05-26 04:20:50 | Paraiba, Brazil | |||
2047595 | 2047595 | 2022-05-25 | Brazil | Parana | 2506923 | 43284 | 0 | -25.2521 | -52.0215 | 2022-05-26 04:20:50 | Parana, Brazil | |||
2047596 | 2047596 | 2022-05-25 | Brazil | Pernambuco | 934383 | 21700 | 0 | -8.8137 | -36.9541 | 2022-05-26 04:20:50 | Pernambuco, Brazil | |||
2047597 | 2047597 | 2022-05-25 | Brazil | Piaui | 368074 | 7745 | 0 | -7.7183 | -42.7289 | 2022-05-26 04:20:50 | Piaui, Brazil | |||
2047598 | 2047598 | 2022-05-25 | Brazil | Rio Grande do Norte | 504990 | 8199 | 0 | -5.4026 | -36.9541 | 2022-05-26 04:20:50 | Rio Grande do Norte, Brazil | |||
2047599 | 2047599 | 2022-05-25 | Brazil | Rio Grande do Sul | 2408431 | 39472 | 0 | -30.0346 | -51.2177 | 2022-05-26 04:20:50 | Rio Grande do Sul, Brazil | |||
2047600 | 2047600 | 2022-05-25 | Brazil | Rio de Janeiro | 2177585 | 73791 | 0 | -22.9068 | -43.1729 | 2022-05-26 04:20:50 | Rio de Janeiro, Brazil | |||
2047601 | 2047601 | 2022-05-25 | Brazil | Rondonia | 403680 | 7214 | 0 | -11.5057 | -63.5806 | 2022-05-26 04:20:50 | Rondonia, Brazil | |||
2047602 | 2047602 | 2022-05-25 | Brazil | Roraima | 155679 | 2152 | 0 | -2.7376 | -62.0751 | 2022-05-26 04:20:50 | Roraima, Brazil | |||
2047603 | 2047603 | 2022-05-25 | Brazil | Santa Catarina | 1730425 | 21832 | 0 | -27.2423 | -50.2189 | 2022-05-26 04:20:50 | Santa Catarina, Brazil | |||
2047604 | 2047604 | 2022-05-25 | Brazil | Sao Paulo | 5480732 | 169053 | 0 | -23.5505 | -46.6333 | 2022-05-26 04:20:50 | Sao Paulo, Brazil | |||
2047605 | 2047605 | 2022-05-25 | Brazil | Sergipe | 327411 | 6347 | 0 | -10.5741 | -37.3857 | 2022-05-26 04:20:50 | Sergipe, Brazil | |||
2047606 | 2047606 | 2022-05-25 | Brazil | Tocantins | 305820 | 4157 | 0 | -10.1753 | -48.2982 | 2022-05-26 04:20:50 | Tocantins, Brazil | |||
621591 | 621591 | 2022-05-22 | Brazil | Acre | 124974 | 2002 | 0 | -9.0238 | -70.812 | 2022-05-26 04:20:50 | Acre, Brazil | |||
621592 | 621592 | 2022-05-22 | Brazil | Alagoas | 298871 | 6936 | 0 | -9.5713 | -36.782 | 2022-05-26 04:20:50 | Alagoas, Brazil | |||
621593 | 621593 | 2022-05-22 | Brazil | Amapa | 160418 | 2133 | 0 | 0.902 | -52.003 | 2022-05-26 04:20:50 | Amapa, Brazil | |||
621594 | 621594 | 2022-05-22 | Brazil | Amazonas | 582734 | 14173 | 0 | -3.4168 | -65.8561 | 2022-05-26 04:20:50 | Amazonas, Brazil | |||
621595 | 621595 | 2022-05-22 | Brazil | Bahia | 1547372 | 29922 | 0 | -12.5797 | -41.7007 | 2022-05-26 04:20:50 | Bahia, Brazil | |||
621596 | 621596 | 2022-05-22 | Brazil | Ceara | 1246002 | 27051 | 0 | -5.4984 | -39.3206 | 2022-05-26 04:20:50 | Ceara, Brazil | |||
621597 | 621597 | 2022-05-22 | Brazil | Distrito Federal | 703602 | 11690 | 0 | -15.7998 | -47.8645 | 2022-05-26 04:20:50 | Distrito Federal, Brazil | |||
621598 | 621598 | 2022-05-22 | Brazil | Espirito Santo | 1051335 | 14405 | 0 | -19.1834 | -40.3089 | 2022-05-26 04:20:50 | Espirito Santo, Brazil | |||
621599 | 621599 | 2022-05-22 | Brazil | Goias | 1357565 | 26604 | 0 | -15.827 | -49.8362 | 2022-05-26 04:20:50 | Goias, Brazil | |||
621600 | 621600 | 2022-05-22 | Brazil | Maranhao | 437344 | 10888 | 0 | -4.9609 | -45.2744 | 2022-05-26 04:20:50 | Maranhao, Brazil | |||
621601 | 621601 | 2022-05-22 | Brazil | Mato Grosso | 731659 | 14852 | 0 | -12.6819 | -56.9211 | 2022-05-26 04:20:50 | Mato Grosso, Brazil | |||
621602 | 621602 | 2022-05-22 | Brazil | Mato Grosso do Sul | 532610 | 10565 | 0 | -20.7722 | -54.7852 | 2022-05-26 04:20:50 | Mato Grosso do Sul, Brazil | |||
621603 | 621603 | 2022-05-22 | Brazil | Minas Gerais | 3394187 | 61520 | 0 | -18.5122 | -44.555 | 2022-05-26 04:20:50 | Minas Gerais, Brazil | |||
621604 | 621604 | 2022-05-22 | Brazil | Para | 773846 | 18354 | 0 | -1.9981 | -54.9306 | 2022-05-26 04:20:50 | Para, Brazil | |||
621605 | 621605 | 2022-05-22 | Brazil | Paraiba | 604539 | 10220 | 0 | -7.24 | -36.782 | 2022-05-26 04:20:50 | Paraiba, Brazil | |||
621606 | 621606 | 2022-05-22 | Brazil | Parana | 2506923 | 43284 | 0 | -25.2521 | -52.0215 | 2022-05-26 04:20:50 | Parana, Brazil | |||
621607 | 621607 | 2022-05-22 | Brazil | Pernambuco | 934383 | 21700 | 0 | -8.8137 | -36.9541 | 2022-05-26 04:20:50 | Pernambuco, Brazil | |||
621608 | 621608 | 2022-05-22 | Brazil | Piaui | 368074 | 7745 | 0 | -7.7183 | -42.7289 | 2022-05-26 04:20:50 | Piaui, Brazil | |||
621609 | 621609 | 2022-05-22 | Brazil | Rio Grande do Norte | 504990 | 8199 | 0 | -5.4026 | -36.9541 | 2022-05-26 04:20:50 | Rio Grande do Norte, Brazil | |||
621610 | 621610 | 2022-05-22 | Brazil | Rio Grande do Sul | 2408431 | 39472 | 0 | -30.0346 | -51.2177 | 2022-05-26 04:20:50 | Rio Grande do Sul, Brazil | |||
621611 | 621611 | 2022-05-22 | Brazil | Rio de Janeiro | 2177585 | 73791 | 0 | -22.9068 | -43.1729 | 2022-05-26 04:20:50 | Rio de Janeiro, Brazil | |||
621612 | 621612 | 2022-05-22 | Brazil | Rondonia | 403680 | 7214 | 0 | -11.5057 | -63.5806 | 2022-05-26 04:20:50 | Rondonia, Brazil | |||
621613 | 621613 | 2022-05-22 | Brazil | Roraima | 155679 | 2152 | 0 | -2.7376 | -62.0751 | 2022-05-26 04:20:50 | Roraima, Brazil | |||
621614 | 621614 | 2022-05-22 | Brazil | Santa Catarina | 1730425 | 21832 | 0 | -27.2423 | -50.2189 | 2022-05-26 04:20:50 | Santa Catarina, Brazil | |||
621615 | 621615 | 2022-05-22 | Brazil | Sao Paulo | 5480732 | 169053 | 0 | -23.5505 | -46.6333 | 2022-05-26 04:20:50 | Sao Paulo, Brazil | |||
621616 | 621616 | 2022-05-22 | Brazil | Sergipe | 327411 | 6347 | 0 | -10.5741 | -37.3857 | 2022-05-26 04:20:50 | Sergipe, Brazil | |||
621617 | 621617 | 2022-05-22 | Brazil | Tocantins | 305820 | 4157 | 0 | -10.1753 | -48.2982 | 2022-05-26 04:20:50 | 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]);