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 2020-10-05 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3801628 | 3801628 | 2020-10-05 | Brazil | Acre | 28687 | 667 | 26979 | 1041 | -9.0238 | -70.812 | 2020-10-06 04:23:33 | Acre, Brazil | ||
3801629 | 3801629 | 2020-10-05 | Brazil | Alagoas | 88135 | 2103 | 84709 | 1323 | -9.5713 | -36.782 | 2020-10-06 04:23:33 | Alagoas, Brazil | ||
3801630 | 3801630 | 2020-10-05 | Brazil | Amapa | 48701 | 718 | 36489 | 11494 | 0.902 | -52.003 | 2020-10-06 04:23:33 | Amapa, Brazil | ||
3801631 | 3801631 | 2020-10-05 | Brazil | Amazonas | 142573 | 4185 | 120012 | 18376 | -3.4168 | -65.8561 | 2020-10-06 04:23:33 | Amazonas, Brazil | ||
3801632 | 3801632 | 2020-10-05 | Brazil | Bahia | 316005 | 6953 | 302916 | 6136 | -12.5797 | -41.7007 | 2020-10-06 04:23:33 | Bahia, Brazil | ||
3801633 | 3801633 | 2020-10-05 | Brazil | Ceara | 254588 | 9067 | 219362 | 14688 | -5.4984 | -39.3206 | 2020-10-06 04:23:33 | Ceara, Brazil | ||
3801634 | 3801634 | 2020-10-05 | Brazil | Distrito Federal | 195967 | 3346 | 185089 | 7532 | -15.7998 | -47.8645 | 2020-10-06 04:23:33 | Distrito Federal, Brazil | ||
3801635 | 3801635 | 2020-10-05 | Brazil | Espirito Santo | 135001 | 3594 | 124240 | 7112 | -19.1834 | -40.3089 | 2020-10-06 04:23:33 | Espirito Santo, Brazil | ||
3801636 | 3801636 | 2020-10-05 | Brazil | Goias | 219323 | 4927 | 208565 | 4267 | -15.827 | -49.8362 | 2020-10-06 04:23:33 | Goias, Brazil | ||
3801637 | 3801637 | 2020-10-05 | Brazil | Maranhao | 175753 | 3807 | 167126 | 4820 | -4.9609 | -45.2744 | 2020-10-06 04:23:33 | Maranhao, Brazil | ||
3801638 | 3801638 | 2020-10-05 | Brazil | Mato Grosso | 127730 | 3545 | 107119 | 16452 | -12.6819 | -56.9211 | 2020-10-06 04:23:33 | Mato Grosso, Brazil | ||
3801639 | 3801639 | 2020-10-05 | Brazil | Mato Grosso do Sul | 72546 | 1376 | 66095 | 4533 | -20.7722 | -54.7852 | 2020-10-06 04:23:33 | Mato Grosso do Sul, Brazil | ||
3801640 | 3801640 | 2020-10-05 | Brazil | Minas Gerais | 308466 | 7656 | 270475 | 30335 | -18.5122 | -44.555 | 2020-10-06 04:23:33 | Minas Gerais, Brazil | ||
3801641 | 3801641 | 2020-10-05 | Brazil | Para | 234884 | 6614 | 218871 | 8652 | -1.9981 | -54.9306 | 2020-10-06 04:23:33 | Para, Brazil | ||
3801642 | 3801642 | 2020-10-05 | Brazil | Paraiba | 122890 | 2861 | 98231 | 21798 | -7.24 | -36.782 | 2020-10-06 04:23:33 | Paraiba, Brazil | ||
3801643 | 3801643 | 2020-10-05 | Brazil | Parana | 184806 | 4619 | 135739 | 44448 | -25.2521 | -52.0215 | 2020-10-06 04:23:33 | Parana, Brazil | ||
3801644 | 3801644 | 2020-10-05 | Brazil | Pernambuco | 149454 | 8340 | 129516 | 11598 | -8.8137 | -36.9541 | 2020-10-06 04:23:33 | Pernambuco, Brazil | ||
3801645 | 3801645 | 2020-10-05 | Brazil | Piaui | 99276 | 2169 | 95965 | 482 | -7.7183 | -42.7289 | 2020-10-06 04:23:33 | Piaui, Brazil | ||
3801646 | 3801646 | 2020-10-05 | Brazil | Rio Grande do Norte | 71299 | 2415 | 41449 | 26938 | -5.4026 | -36.9541 | 2020-10-06 04:23:33 | Rio Grande do Norte, Brazil | ||
3801647 | 3801647 | 2020-10-05 | Brazil | Rio Grande do Sul | 203497 | 4952 | 189615 | 8930 | -30.0346 | -51.2177 | 2020-10-06 04:23:33 | Rio Grande do Sul, Brazil | ||
3801648 | 3801648 | 2020-10-05 | Brazil | Rio de Janeiro | 273338 | 18780 | 249469 | 5089 | -22.9068 | -43.1729 | 2020-10-06 04:23:33 | Rio de Janeiro, Brazil | ||
3801649 | 3801649 | 2020-10-05 | Brazil | Rondonia | 66783 | 1375 | 58783 | 6625 | -11.5057 | -63.5806 | 2020-10-06 04:23:33 | Rondonia, Brazil | ||
3801650 | 3801650 | 2020-10-05 | Brazil | Roraima | 51450 | 661 | 46135 | 4572 | -2.7376 | -62.0751 | 2020-10-06 04:23:33 | Roraima, Brazil | ||
3801651 | 3801651 | 2020-10-05 | Brazil | Santa Catarina | 220044 | 2858 | 208547 | 8639 | -27.2423 | -50.2189 | 2020-10-06 04:23:33 | Santa Catarina, Brazil | ||
3801652 | 3801652 | 2020-10-05 | Brazil | Sao Paulo | 1004579 | 36220 | 880601 | 87758 | -23.5505 | -46.6333 | 2020-10-06 04:23:33 | Sao Paulo, Brazil | ||
3801653 | 3801653 | 2020-10-05 | Brazil | Sergipe | 78380 | 2061 | 72063 | 4256 | -10.5741 | -37.3857 | 2020-10-06 04:23:33 | Sergipe, Brazil | ||
3801654 | 3801654 | 2020-10-05 | Brazil | Tocantins | 69587 | 975 | 53722 | 14784 | -10.1753 | -48.2982 | 2020-10-06 04:23:33 | 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]);