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 2022-05-17 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1503312 | 1503312 | 2022-05-16 | Brazil | Acre | 124970 | 2002 | 0 | -9.0238 | -70.812 | 2022-05-17 04:20:59 | Acre, Brazil | |||
1503313 | 1503313 | 2022-05-16 | Brazil | Alagoas | 298578 | 6936 | 0 | -9.5713 | -36.782 | 2022-05-17 04:20:59 | Alagoas, Brazil | |||
1503314 | 1503314 | 2022-05-16 | Brazil | Amapa | 160406 | 2132 | 0 | 0.902 | -52.003 | 2022-05-17 04:20:59 | Amapa, Brazil | |||
1503315 | 1503315 | 2022-05-16 | Brazil | Amazonas | 582514 | 14172 | 0 | -3.4168 | -65.8561 | 2022-05-17 04:20:59 | Amazonas, Brazil | |||
1503316 | 1503316 | 2022-05-16 | Brazil | Bahia | 1545997 | 29895 | 0 | -12.5797 | -41.7007 | 2022-05-17 04:20:59 | Bahia, Brazil | |||
1503317 | 1503317 | 2022-05-16 | Brazil | Ceara | 1245485 | 26994 | 0 | -5.4984 | -39.3206 | 2022-05-17 04:20:59 | Ceara, Brazil | |||
1503318 | 1503318 | 2022-05-16 | Brazil | Distrito Federal | 699575 | 11672 | 0 | -15.7998 | -47.8645 | 2022-05-17 04:20:59 | Distrito Federal, Brazil | |||
1503319 | 1503319 | 2022-05-16 | Brazil | Espirito Santo | 1048749 | 14397 | 0 | -19.1834 | -40.3089 | 2022-05-17 04:20:59 | Espirito Santo, Brazil | |||
1503320 | 1503320 | 2022-05-16 | Brazil | Goias | 1347664 | 26557 | 0 | -15.827 | -49.8362 | 2022-05-17 04:20:59 | Goias, Brazil | |||
1503321 | 1503321 | 2022-05-16 | Brazil | Maranhao | 435881 | 10887 | 0 | -4.9609 | -45.2744 | 2022-05-17 04:20:59 | Maranhao, Brazil | |||
1503322 | 1503322 | 2022-05-16 | Brazil | Mato Grosso | 730603 | 14854 | 0 | -12.6819 | -56.9211 | 2022-05-17 04:20:59 | Mato Grosso, Brazil | |||
1503323 | 1503323 | 2022-05-16 | Brazil | Mato Grosso do Sul | 531259 | 10543 | 0 | -20.7722 | -54.7852 | 2022-05-17 04:20:59 | Mato Grosso do Sul, Brazil | |||
1503324 | 1503324 | 2022-05-16 | Brazil | Minas Gerais | 3374910 | 61437 | 0 | -18.5122 | -44.555 | 2022-05-17 04:20:59 | Minas Gerais, Brazil | |||
1503325 | 1503325 | 2022-05-16 | Brazil | Para | 771111 | 18316 | 0 | -1.9981 | -54.9306 | 2022-05-17 04:20:59 | Para, Brazil | |||
1503326 | 1503326 | 2022-05-16 | Brazil | Paraiba | 603591 | 10217 | 0 | -7.24 | -36.782 | 2022-05-17 04:20:59 | Paraiba, Brazil | |||
1503327 | 1503327 | 2022-05-16 | Brazil | Parana | 2491492 | 43192 | 0 | -25.2521 | -52.0215 | 2022-05-17 04:20:59 | Parana, Brazil | |||
1503328 | 1503328 | 2022-05-16 | Brazil | Pernambuco | 931106 | 21667 | 0 | -8.8137 | -36.9541 | 2022-05-17 04:20:59 | Pernambuco, Brazil | |||
1503329 | 1503329 | 2022-05-16 | Brazil | Piaui | 368059 | 7739 | 0 | -7.7183 | -42.7289 | 2022-05-17 04:20:59 | Piaui, Brazil | |||
1503330 | 1503330 | 2022-05-16 | Brazil | Rio Grande do Norte | 504283 | 8196 | 0 | -5.4026 | -36.9541 | 2022-05-17 04:20:59 | Rio Grande do Norte, Brazil | |||
1503331 | 1503331 | 2022-05-16 | Brazil | Rio Grande do Sul | 2378955 | 39385 | 0 | -30.0346 | -51.2177 | 2022-05-17 04:20:59 | Rio Grande do Sul, Brazil | |||
1503332 | 1503332 | 2022-05-16 | Brazil | Rio de Janeiro | 2165562 | 73643 | 0 | -22.9068 | -43.1729 | 2022-05-17 04:20:59 | Rio de Janeiro, Brazil | |||
1503333 | 1503333 | 2022-05-16 | Brazil | Rondonia | 403262 | 7213 | 0 | -11.5057 | -63.5806 | 2022-05-17 04:20:59 | Rondonia, Brazil | |||
1503334 | 1503334 | 2022-05-16 | Brazil | Roraima | 155627 | 2151 | 0 | -2.7376 | -62.0751 | 2022-05-17 04:20:59 | Roraima, Brazil | |||
1503335 | 1503335 | 2022-05-16 | Brazil | Santa Catarina | 1718631 | 21806 | 0 | -27.2423 | -50.2189 | 2022-05-17 04:20:59 | Santa Catarina, Brazil | |||
1503336 | 1503336 | 2022-05-16 | Brazil | Sao Paulo | 5451144 | 168712 | 0 | -23.5505 | -46.6333 | 2022-05-17 04:20:59 | Sao Paulo, Brazil | |||
1503337 | 1503337 | 2022-05-16 | Brazil | Sergipe | 327284 | 6345 | 0 | -10.5741 | -37.3857 | 2022-05-17 04:20:59 | Sergipe, Brazil | |||
1503338 | 1503338 | 2022-05-16 | Brazil | Tocantins | 305202 | 4156 | 0 | -10.1753 | -48.2982 | 2022-05-17 04:20:59 | 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]);