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" is on date 2022-04-06 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3867258 | 3867258 | 2022-04-05 | Brazil | Acre | 123816 | 1994 | 0 | -9.0238 | -70.812 | 2022-04-06 04:20:49 | Acre, Brazil | |||
3867259 | 3867259 | 2022-04-05 | Brazil | Alagoas | 296267 | 6893 | 0 | -9.5713 | -36.782 | 2022-04-06 04:20:49 | Alagoas, Brazil | |||
3867260 | 3867260 | 2022-04-05 | Brazil | Amapa | 160351 | 2127 | 0 | 0.902 | -52.003 | 2022-04-06 04:20:49 | Amapa, Brazil | |||
3867261 | 3867261 | 2022-04-05 | Brazil | Amazonas | 581442 | 14159 | 0 | -3.4168 | -65.8561 | 2022-04-06 04:20:49 | Amazonas, Brazil | |||
3867262 | 3867262 | 2022-04-05 | Brazil | Bahia | 1534051 | 29732 | 0 | -12.5797 | -41.7007 | 2022-04-06 04:20:49 | Bahia, Brazil | |||
3867263 | 3867263 | 2022-04-05 | Brazil | Ceara | 1241634 | 26784 | 0 | -5.4984 | -39.3206 | 2022-04-06 04:20:49 | Ceara, Brazil | |||
3867264 | 3867264 | 2022-04-05 | Brazil | Distrito Federal | 692955 | 11597 | 0 | -15.7998 | -47.8645 | 2022-04-06 04:20:49 | Distrito Federal, Brazil | |||
3867265 | 3867265 | 2022-04-05 | Brazil | Espirito Santo | 1040454 | 14345 | 0 | -19.1834 | -40.3089 | 2022-04-06 04:20:49 | Espirito Santo, Brazil | |||
3867266 | 3867266 | 2022-04-05 | Brazil | Goias | 1289052 | 26299 | 0 | -15.827 | -49.8362 | 2022-04-06 04:20:49 | Goias, Brazil | |||
3867267 | 3867267 | 2022-04-05 | Brazil | Maranhao | 426902 | 10874 | 0 | -4.9609 | -45.2744 | 2022-04-06 04:20:49 | Maranhao, Brazil | |||
3867268 | 3867268 | 2022-04-05 | Brazil | Mato Grosso | 724653 | 14854 | 0 | -12.6819 | -56.9211 | 2022-04-06 04:20:49 | Mato Grosso, Brazil | |||
3867269 | 3867269 | 2022-04-05 | Brazil | Mato Grosso do Sul | 524974 | 10510 | 0 | -20.7722 | -54.7852 | 2022-04-06 04:20:49 | Mato Grosso do Sul, Brazil | |||
3867270 | 3867270 | 2022-04-05 | Brazil | Minas Gerais | 3336798 | 60948 | 0 | -18.5122 | -44.555 | 2022-04-06 04:20:49 | Minas Gerais, Brazil | |||
3867271 | 3867271 | 2022-04-05 | Brazil | Para | 756881 | 18125 | 0 | -1.9981 | -54.9306 | 2022-04-06 04:20:49 | Para, Brazil | |||
3867272 | 3867272 | 2022-04-05 | Brazil | Paraiba | 598085 | 10197 | 0 | -7.24 | -36.782 | 2022-04-06 04:20:49 | Paraiba, Brazil | |||
3867273 | 3867273 | 2022-04-05 | Brazil | Parana | 2420183 | 42940 | 0 | -25.2521 | -52.0215 | 2022-04-06 04:20:49 | Parana, Brazil | |||
3867274 | 3867274 | 2022-04-05 | Brazil | Pernambuco | 902214 | 21450 | 0 | -8.8137 | -36.9541 | 2022-04-06 04:20:49 | Pernambuco, Brazil | |||
3867275 | 3867275 | 2022-04-05 | Brazil | Piaui | 367747 | 7729 | 0 | -7.7183 | -42.7289 | 2022-04-06 04:20:49 | Piaui, Brazil | |||
3867276 | 3867276 | 2022-04-05 | Brazil | Rio Grande do Norte | 498561 | 8130 | 0 | -5.4026 | -36.9541 | 2022-04-06 04:20:49 | Rio Grande do Norte, Brazil | |||
3867277 | 3867277 | 2022-04-05 | Brazil | Rio Grande do Sul | 2284488 | 39117 | 0 | -30.0346 | -51.2177 | 2022-04-06 04:20:49 | Rio Grande do Sul, Brazil | |||
3867278 | 3867278 | 2022-04-05 | Brazil | Rio de Janeiro | 2099668 | 72948 | 0 | -22.9068 | -43.1729 | 2022-04-06 04:20:49 | Rio de Janeiro, Brazil | |||
3867279 | 3867279 | 2022-04-05 | Brazil | Rondonia | 395564 | 7186 | 0 | -11.5057 | -63.5806 | 2022-04-06 04:20:49 | Rondonia, Brazil | |||
3867280 | 3867280 | 2022-04-05 | Brazil | Roraima | 155212 | 2146 | 0 | -2.7376 | -62.0751 | 2022-04-06 04:20:49 | Roraima, Brazil | |||
3867281 | 3867281 | 2022-04-05 | Brazil | Santa Catarina | 1680292 | 21682 | 0 | -27.2423 | -50.2189 | 2022-04-06 04:20:49 | Santa Catarina, Brazil | |||
3867282 | 3867282 | 2022-04-05 | Brazil | Sao Paulo | 5280282 | 167548 | 0 | -23.5505 | -46.6333 | 2022-04-06 04:20:49 | Sao Paulo, Brazil | |||
3867283 | 3867283 | 2022-04-05 | Brazil | Sergipe | 326508 | 6325 | 0 | -10.5741 | -37.3857 | 2022-04-06 04:20:49 | Sergipe, Brazil | |||
3867284 | 3867284 | 2022-04-05 | Brazil | Tocantins | 303238 | 4147 | 0 | -10.1753 | -48.2982 | 2022-04-06 04:20:49 | 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]);