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 2020-09-04 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2661508 | 2661508 | 2020-09-04 | Brazil | Acre | 25249 | 623 | 19695 | 4931 | -9.0238 | -70.812 | 2020-09-05 04:28:19 | Acre, Brazil | ||
2661509 | 2661509 | 2020-09-04 | Brazil | Alagoas | 80103 | 1917 | 75498 | 2688 | -9.5713 | -36.782 | 2020-09-05 04:28:19 | Alagoas, Brazil | ||
2661510 | 2661510 | 2020-09-04 | Brazil | Amapa | 44454 | 670 | 32404 | 11380 | 0.902 | -52.003 | 2020-09-05 04:28:19 | Amapa, Brazil | ||
2661511 | 2661511 | 2020-09-04 | Brazil | Amazonas | 123187 | 3834 | 104526 | 14820 | -3.4168 | -65.8561 | 2020-09-05 04:28:19 | Amazonas, Brazil | ||
2661512 | 2661512 | 2020-09-04 | Brazil | Bahia | 268137 | 5590 | 250309 | 12238 | -12.5797 | -41.7007 | 2020-09-05 04:28:19 | Bahia, Brazil | ||
2661513 | 2661513 | 2020-09-04 | Brazil | Ceara | 222105 | 8563 | 194827 | 26723 | -5.4984 | -39.3206 | 2020-09-05 04:28:19 | Ceara, Brazil | ||
2661514 | 2661514 | 2020-09-04 | Brazil | Distrito Federal | 167200 | 2681 | 152017 | 12502 | -15.7998 | -47.8645 | 2020-09-05 04:28:19 | Distrito Federal, Brazil | ||
2661515 | 2661515 | 2020-09-04 | Brazil | Espirito Santo | 114700 | 3235 | 103782 | 7683 | -19.1834 | -40.3089 | 2020-09-05 04:28:19 | Espirito Santo, Brazil | ||
2661516 | 2661516 | 2020-09-04 | Brazil | Goias | 146441 | 3440 | 135825 | 6025 | -15.827 | -49.8362 | 2020-09-05 04:28:19 | Goias, Brazil | ||
2661517 | 2661517 | 2020-09-04 | Brazil | Maranhao | 157052 | 3488 | 145305 | 8259 | -4.9609 | -45.2744 | 2020-09-05 04:28:19 | Maranhao, Brazil | ||
2661518 | 2661518 | 2020-09-04 | Brazil | Mato Grosso | 97550 | 2923 | 78192 | 15915 | -12.6819 | -56.9211 | 2020-09-05 04:28:19 | Mato Grosso, Brazil | ||
2661519 | 2661519 | 2020-09-04 | Brazil | Mato Grosso do Sul | 53328 | 953 | 42865 | 8602 | -20.7722 | -54.7852 | 2020-09-05 04:28:19 | Mato Grosso do Sul, Brazil | ||
2661520 | 2661520 | 2020-09-04 | Brazil | Minas Gerais | 228013 | 5708 | 192246 | 30059 | -18.5122 | -44.555 | 2020-09-05 04:28:19 | Minas Gerais, Brazil | ||
2661521 | 2661521 | 2020-09-04 | Brazil | Para | 206864 | 6240 | 190437 | 8626 | -1.9981 | -54.9306 | 2020-09-05 04:28:19 | Para, Brazil | ||
2661522 | 2661522 | 2020-09-04 | Brazil | Paraiba | 108925 | 2517 | 80327 | 26081 | -7.24 | -36.782 | 2020-09-05 04:28:19 | Paraiba, Brazil | ||
2661523 | 2661523 | 2020-09-04 | Brazil | Parana | 139780 | 3505 | 95386 | 40889 | -25.2521 | -52.0215 | 2020-09-05 04:28:19 | Parana, Brazil | ||
2661524 | 2661524 | 2020-09-04 | Brazil | Pernambuco | 131230 | 7645 | 113496 | 9084 | -8.8137 | -36.9541 | 2020-09-05 04:28:19 | Pernambuco, Brazil | ||
2661525 | 2661525 | 2020-09-04 | Brazil | Piaui | 81626 | 1884 | 79159 | 0 | -7.7183 | -42.7289 | 2020-09-05 04:28:19 | Piaui, Brazil | ||
2661526 | 2661526 | 2020-09-04 | Brazil | Rio Grande do Norte | 63912 | 2293 | 37767 | 23241 | -5.4026 | -36.9541 | 2020-09-05 04:28:19 | Rio Grande do Norte, Brazil | ||
2661527 | 2661527 | 2020-09-04 | Brazil | Rio Grande do Sul | 137217 | 3650 | 122709 | 10858 | -30.0346 | -51.2177 | 2020-09-05 04:28:19 | Rio Grande do Sul, Brazil | ||
2661528 | 2661528 | 2020-09-04 | Brazil | Rio de Janeiro | 232489 | 16467 | 210128 | 5894 | -22.9068 | -43.1729 | 2020-09-05 04:28:19 | Rio de Janeiro, Brazil | ||
2661529 | 2661529 | 2020-09-04 | Brazil | Rondonia | 57352 | 1172 | 46833 | 9347 | -11.5057 | -63.5806 | 2020-09-05 04:28:19 | Rondonia, Brazil | ||
2661530 | 2661530 | 2020-09-04 | Brazil | Roraima | 44975 | 598 | 11263 | 32804 | -2.7376 | -62.0751 | 2020-09-05 04:28:19 | Roraima, Brazil | ||
2661531 | 2661531 | 2020-09-04 | Brazil | Santa Catarina | 186596 | 2376 | 175385 | 8835 | -27.2423 | -50.2189 | 2020-09-05 04:28:19 | Santa Catarina, Brazil | ||
2661532 | 2661532 | 2020-09-04 | Brazil | Sao Paulo | 845016 | 31091 | 671574 | 142351 | -23.5505 | -46.6333 | 2020-09-05 04:28:19 | Sao Paulo, Brazil | ||
2661533 | 2661533 | 2020-09-04 | Brazil | Sergipe | 73383 | 1880 | 65965 | 5538 | -10.5741 | -37.3857 | 2020-09-05 04:28:19 | Sergipe, Brazil | ||
2661534 | 2661534 | 2020-09-04 | Brazil | Tocantins | 55075 | 745 | 36358 | 16925 | -10.1753 | -48.2982 | 2020-09-05 04:28:19 | 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]);