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 2022-05-22 sorted by day descending
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Suggested facets: longitude
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1109287 | 1109287 | 2022-05-21 | Brazil | Acre | 124973 | 2002 | 0 | -9.0238 | -70.812 | 2022-05-22 04:20:52 | Acre, Brazil | |||
1109288 | 1109288 | 2022-05-21 | Brazil | Alagoas | 298657 | 6936 | 0 | -9.5713 | -36.782 | 2022-05-22 04:20:52 | Alagoas, Brazil | |||
1109289 | 1109289 | 2022-05-21 | Brazil | Amapa | 160416 | 2132 | 0 | 0.902 | -52.003 | 2022-05-22 04:20:52 | Amapa, Brazil | |||
1109290 | 1109290 | 2022-05-21 | Brazil | Amazonas | 582625 | 14172 | 0 | -3.4168 | -65.8561 | 2022-05-22 04:20:52 | Amazonas, Brazil | |||
1109291 | 1109291 | 2022-05-21 | Brazil | Bahia | 1546366 | 29916 | 0 | -12.5797 | -41.7007 | 2022-05-22 04:20:52 | Bahia, Brazil | |||
1109292 | 1109292 | 2022-05-21 | Brazil | Ceara | 1245686 | 27015 | 0 | -5.4984 | -39.3206 | 2022-05-22 04:20:52 | Ceara, Brazil | |||
1109293 | 1109293 | 2022-05-21 | Brazil | Distrito Federal | 701350 | 11684 | 0 | -15.7998 | -47.8645 | 2022-05-22 04:20:52 | Distrito Federal, Brazil | |||
1109294 | 1109294 | 2022-05-21 | Brazil | Espirito Santo | 1050094 | 14401 | 0 | -19.1834 | -40.3089 | 2022-05-22 04:20:52 | Espirito Santo, Brazil | |||
1109295 | 1109295 | 2022-05-21 | Brazil | Goias | 1352949 | 26598 | 0 | -15.827 | -49.8362 | 2022-05-22 04:20:52 | Goias, Brazil | |||
1109296 | 1109296 | 2022-05-21 | Brazil | Maranhao | 436801 | 10887 | 0 | -4.9609 | -45.2744 | 2022-05-22 04:20:52 | Maranhao, Brazil | |||
1109297 | 1109297 | 2022-05-21 | Brazil | Mato Grosso | 731233 | 14852 | 0 | -12.6819 | -56.9211 | 2022-05-22 04:20:52 | Mato Grosso, Brazil | |||
1109298 | 1109298 | 2022-05-21 | Brazil | Mato Grosso do Sul | 531771 | 10550 | 0 | -20.7722 | -54.7852 | 2022-05-22 04:20:52 | Mato Grosso do Sul, Brazil | |||
1109299 | 1109299 | 2022-05-21 | Brazil | Minas Gerais | 3383874 | 61458 | 0 | -18.5122 | -44.555 | 2022-05-22 04:20:52 | Minas Gerais, Brazil | |||
1109300 | 1109300 | 2022-05-21 | Brazil | Para | 772804 | 18339 | 0 | -1.9981 | -54.9306 | 2022-05-22 04:20:52 | Para, Brazil | |||
1109301 | 1109301 | 2022-05-21 | Brazil | Paraiba | 603832 | 10217 | 0 | -7.24 | -36.782 | 2022-05-22 04:20:52 | Paraiba, Brazil | |||
1109302 | 1109302 | 2022-05-21 | Brazil | Parana | 2506923 | 43242 | 0 | -25.2521 | -52.0215 | 2022-05-22 04:20:52 | Parana, Brazil | |||
1109303 | 1109303 | 2022-05-21 | Brazil | Pernambuco | 931829 | 21682 | 0 | -8.8137 | -36.9541 | 2022-05-22 04:20:52 | Pernambuco, Brazil | |||
1109304 | 1109304 | 2022-05-21 | Brazil | Piaui | 368068 | 7743 | 0 | -7.7183 | -42.7289 | 2022-05-22 04:20:52 | Piaui, Brazil | |||
1109305 | 1109305 | 2022-05-21 | Brazil | Rio Grande do Norte | 504414 | 8197 | 0 | -5.4026 | -36.9541 | 2022-05-22 04:20:52 | Rio Grande do Norte, Brazil | |||
1109306 | 1109306 | 2022-05-21 | Brazil | Rio Grande do Sul | 2385914 | 39427 | 0 | -30.0346 | -51.2177 | 2022-05-22 04:20:52 | Rio Grande do Sul, Brazil | |||
1109307 | 1109307 | 2022-05-21 | Brazil | Rio de Janeiro | 2168599 | 73726 | 0 | -22.9068 | -43.1729 | 2022-05-22 04:20:52 | Rio de Janeiro, Brazil | |||
1109308 | 1109308 | 2022-05-21 | Brazil | Rondonia | 403381 | 7212 | 0 | -11.5057 | -63.5806 | 2022-05-22 04:20:52 | Rondonia, Brazil | |||
1109309 | 1109309 | 2022-05-21 | Brazil | Roraima | 155650 | 2152 | 0 | -2.7376 | -62.0751 | 2022-05-22 04:20:52 | Roraima, Brazil | |||
1109310 | 1109310 | 2022-05-21 | Brazil | Santa Catarina | 1721739 | 21814 | 0 | -27.2423 | -50.2189 | 2022-05-22 04:20:52 | Santa Catarina, Brazil | |||
1109311 | 1109311 | 2022-05-21 | Brazil | Sao Paulo | 5459629 | 168864 | 0 | -23.5505 | -46.6333 | 2022-05-22 04:20:52 | Sao Paulo, Brazil | |||
1109312 | 1109312 | 2022-05-21 | Brazil | Sergipe | 327349 | 6346 | 0 | -10.5741 | -37.3857 | 2022-05-22 04:20:52 | Sergipe, Brazil | |||
1109313 | 1109313 | 2022-05-21 | Brazil | Tocantins | 305487 | 4156 | 0 | -10.1753 | -48.2982 | 2022-05-22 04:20:52 | 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]);