johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
27 rows where country_or_region = "Brazil" and last_update = "2022-07-27 04:21:04" 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1487299 | 1487299 | 2022-07-26 | Brazil | Acre | 141151 | 2010 | 0 | -9.0238 | -70.812 | 2022-07-27 04:21:04 | Acre, Brazil | |||
1487300 | 1487300 | 2022-07-26 | Brazil | Alagoas | 317083 | 7055 | 0 | -9.5713 | -36.782 | 2022-07-27 04:21:04 | Alagoas, Brazil | |||
1487301 | 1487301 | 2022-07-26 | Brazil | Amapa | 175292 | 2149 | 0 | 0.902 | -52.003 | 2022-07-27 04:21:04 | Amapa, Brazil | |||
1487302 | 1487302 | 2022-07-26 | Brazil | Amazonas | 603079 | 14215 | 0 | -3.4168 | -65.8561 | 2022-07-27 04:21:04 | Amazonas, Brazil | |||
1487303 | 1487303 | 2022-07-26 | Brazil | Bahia | 1651794 | 30301 | 0 | -12.5797 | -41.7007 | 2022-07-27 04:21:04 | Bahia, Brazil | |||
1487304 | 1487304 | 2022-07-26 | Brazil | Ceara | 1354988 | 27386 | 0 | -5.4984 | -39.3206 | 2022-07-27 04:21:04 | Ceara, Brazil | |||
1487305 | 1487305 | 2022-07-26 | Brazil | Distrito Federal | 829079 | 11817 | 0 | -15.7998 | -47.8645 | 2022-07-27 04:21:04 | Distrito Federal, Brazil | |||
1487306 | 1487306 | 2022-07-26 | Brazil | Espirito Santo | 1197460 | 14676 | 0 | -19.1834 | -40.3089 | 2022-07-27 04:21:04 | Espirito Santo, Brazil | |||
1487307 | 1487307 | 2022-07-26 | Brazil | Goias | 1597110 | 27143 | 0 | -15.827 | -49.8362 | 2022-07-27 04:21:04 | Goias, Brazil | |||
1487308 | 1487308 | 2022-07-26 | Brazil | Maranhao | 458027 | 10931 | 0 | -4.9609 | -45.2744 | 2022-07-27 04:21:04 | Maranhao, Brazil | |||
1487309 | 1487309 | 2022-07-26 | Brazil | Mato Grosso | 807495 | 14851 | 0 | -12.6819 | -56.9211 | 2022-07-27 04:21:04 | Mato Grosso, Brazil | |||
1487310 | 1487310 | 2022-07-26 | Brazil | Mato Grosso do Sul | 562332 | 10707 | 0 | -20.7722 | -54.7852 | 2022-07-27 04:21:04 | Mato Grosso do Sul, Brazil | |||
1487311 | 1487311 | 2022-07-26 | Brazil | Minas Gerais | 3801835 | 62793 | 0 | -18.5122 | -44.555 | 2022-07-27 04:21:04 | Minas Gerais, Brazil | |||
1487312 | 1487312 | 2022-07-26 | Brazil | Para | 805267 | 18521 | 0 | -1.9981 | -54.9306 | 2022-07-27 04:21:04 | Para, Brazil | |||
1487313 | 1487313 | 2022-07-26 | Brazil | Paraiba | 642454 | 10345 | 0 | -7.24 | -36.782 | 2022-07-27 04:21:04 | Paraiba, Brazil | |||
1487314 | 1487314 | 2022-07-26 | Brazil | Parana | 2684241 | 44398 | 0 | -25.2521 | -52.0215 | 2022-07-27 04:21:04 | Parana, Brazil | |||
1487315 | 1487315 | 2022-07-26 | Brazil | Pernambuco | 1023771 | 22017 | 0 | -8.8137 | -36.9541 | 2022-07-27 04:21:04 | Pernambuco, Brazil | |||
1487316 | 1487316 | 2022-07-26 | Brazil | Piaui | 384199 | 7864 | 0 | -7.7183 | -42.7289 | 2022-07-27 04:21:04 | Piaui, Brazil | |||
1487317 | 1487317 | 2022-07-26 | Brazil | Rio Grande do Norte | 545054 | 8342 | 0 | -5.4026 | -36.9541 | 2022-07-27 04:21:04 | Rio Grande do Norte, Brazil | |||
1487318 | 1487318 | 2022-07-26 | Brazil | Rio Grande do Sul | 2626051 | 40389 | 0 | -30.0346 | -51.2177 | 2022-07-27 04:21:04 | Rio Grande do Sul, Brazil | |||
1487319 | 1487319 | 2022-07-26 | Brazil | Rio de Janeiro | 2436997 | 74693 | 0 | -22.9068 | -43.1729 | 2022-07-27 04:21:04 | Rio de Janeiro, Brazil | |||
1487320 | 1487320 | 2022-07-26 | Brazil | Rondonia | 441730 | 7292 | 0 | -11.5057 | -63.5806 | 2022-07-27 04:21:04 | Rondonia, Brazil | |||
1487321 | 1487321 | 2022-07-26 | Brazil | Roraima | 171871 | 2158 | 0 | -2.7376 | -62.0751 | 2022-07-27 04:21:04 | Roraima, Brazil | |||
1487322 | 1487322 | 2022-07-26 | Brazil | Santa Catarina | 1833053 | 22196 | 0 | -27.2423 | -50.2189 | 2022-07-27 04:21:04 | Santa Catarina, Brazil | |||
1487323 | 1487323 | 2022-07-26 | Brazil | Sao Paulo | 5890763 | 172654 | 0 | -23.5505 | -46.6333 | 2022-07-27 04:21:04 | Sao Paulo, Brazil | |||
1487324 | 1487324 | 2022-07-26 | Brazil | Sergipe | 340153 | 6408 | 0 | -10.5741 | -37.3857 | 2022-07-27 04:21:04 | Sergipe, Brazil | |||
1487325 | 1487325 | 2022-07-26 | Brazil | Tocantins | 337550 | 4183 | 0 | -10.1753 | -48.2982 | 2022-07-27 04:21:04 | 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]);