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 2022-06-25 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3346350 | 3346350 | 2022-06-24 | Brazil | Acre | 125500 | 2002 | 0 | -9.0238 | -70.812 | 2022-06-25 04:20:57 | Acre, Brazil | |||
3346351 | 3346351 | 2022-06-24 | Brazil | Alagoas | 302597 | 6943 | 0 | -9.5713 | -36.782 | 2022-06-25 04:20:57 | Alagoas, Brazil | |||
3346352 | 3346352 | 2022-06-24 | Brazil | Amapa | 160740 | 2140 | 0 | 0.902 | -52.003 | 2022-06-25 04:20:57 | Amapa, Brazil | |||
3346353 | 3346353 | 2022-06-24 | Brazil | Amazonas | 583847 | 14177 | 0 | -3.4168 | -65.8561 | 2022-06-25 04:20:57 | Amazonas, Brazil | |||
3346354 | 3346354 | 2022-06-24 | Brazil | Bahia | 1566215 | 30011 | 0 | -12.5797 | -41.7007 | 2022-06-25 04:20:57 | Bahia, Brazil | |||
3346355 | 3346355 | 2022-06-24 | Brazil | Ceara | 1256281 | 27163 | 0 | -5.4984 | -39.3206 | 2022-06-25 04:20:57 | Ceara, Brazil | |||
3346356 | 3346356 | 2022-06-24 | Brazil | Distrito Federal | 791582 | 11746 | 0 | -15.7998 | -47.8645 | 2022-06-25 04:20:57 | Distrito Federal, Brazil | |||
3346357 | 3346357 | 2022-06-24 | Brazil | Espirito Santo | 1096655 | 14463 | 0 | -19.1834 | -40.3089 | 2022-06-25 04:20:57 | Espirito Santo, Brazil | |||
3346358 | 3346358 | 2022-06-24 | Brazil | Goias | 1470081 | 26818 | 0 | -15.827 | -49.8362 | 2022-06-25 04:20:57 | Goias, Brazil | |||
3346359 | 3346359 | 2022-06-24 | Brazil | Maranhao | 442014 | 10894 | 0 | -4.9609 | -45.2744 | 2022-06-25 04:20:57 | Maranhao, Brazil | |||
3346360 | 3346360 | 2022-06-24 | Brazil | Mato Grosso | 749924 | 14690 | 0 | -12.6819 | -56.9211 | 2022-06-25 04:20:57 | Mato Grosso, Brazil | |||
3346361 | 3346361 | 2022-06-24 | Brazil | Mato Grosso do Sul | 547651 | 10610 | 0 | -20.7722 | -54.7852 | 2022-06-25 04:20:57 | Mato Grosso do Sul, Brazil | |||
3346362 | 3346362 | 2022-06-24 | Brazil | Minas Gerais | 3572319 | 62015 | 0 | -18.5122 | -44.555 | 2022-06-25 04:20:57 | Minas Gerais, Brazil | |||
3346363 | 3346363 | 2022-06-24 | Brazil | Para | 780145 | 18449 | 0 | -1.9981 | -54.9306 | 2022-06-25 04:20:57 | Para, Brazil | |||
3346364 | 3346364 | 2022-06-24 | Brazil | Paraiba | 614623 | 10242 | 0 | -7.24 | -36.782 | 2022-06-25 04:20:57 | Paraiba, Brazil | |||
3346365 | 3346365 | 2022-06-24 | Brazil | Parana | 2604530 | 43633 | 0 | -25.2521 | -52.0215 | 2022-06-25 04:20:57 | Parana, Brazil | |||
3346366 | 3346366 | 2022-06-24 | Brazil | Pernambuco | 965289 | 21836 | 0 | -8.8137 | -36.9541 | 2022-06-25 04:20:57 | Pernambuco, Brazil | |||
3346367 | 3346367 | 2022-06-24 | Brazil | Piaui | 370914 | 7759 | 0 | -7.7183 | -42.7289 | 2022-06-25 04:20:57 | Piaui, Brazil | |||
3346368 | 3346368 | 2022-06-24 | Brazil | Rio Grande do Norte | 520672 | 8241 | 0 | -5.4026 | -36.9541 | 2022-06-25 04:20:57 | Rio Grande do Norte, Brazil | |||
3346369 | 3346369 | 2022-06-24 | Brazil | Rio Grande do Sul | 2527588 | 39947 | 0 | -30.0346 | -51.2177 | 2022-06-25 04:20:57 | Rio Grande do Sul, Brazil | |||
3346370 | 3346370 | 2022-06-24 | Brazil | Rio de Janeiro | 2316183 | 74053 | 0 | -22.9068 | -43.1729 | 2022-06-25 04:20:57 | Rio de Janeiro, Brazil | |||
3346371 | 3346371 | 2022-06-24 | Brazil | Rondonia | 411960 | 7235 | 0 | -11.5057 | -63.5806 | 2022-06-25 04:20:57 | Rondonia, Brazil | |||
3346372 | 3346372 | 2022-06-24 | Brazil | Roraima | 157465 | 2152 | 0 | -2.7376 | -62.0751 | 2022-06-25 04:20:57 | Roraima, Brazil | |||
3346373 | 3346373 | 2022-06-24 | Brazil | Santa Catarina | 1782391 | 21969 | 0 | -27.2423 | -50.2189 | 2022-06-25 04:20:57 | Santa Catarina, Brazil | |||
3346374 | 3346374 | 2022-06-24 | Brazil | Sao Paulo | 5665324 | 170528 | 0 | -23.5505 | -46.6333 | 2022-06-25 04:20:57 | Sao Paulo, Brazil | |||
3346375 | 3346375 | 2022-06-24 | Brazil | Sergipe | 328955 | 6355 | 0 | -10.5741 | -37.3857 | 2022-06-25 04:20:57 | Sergipe, Brazil | |||
3346376 | 3346376 | 2022-06-24 | Brazil | Tocantins | 311721 | 4158 | 0 | -10.1753 | -48.2982 | 2022-06-25 04:20:57 | 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]);