johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
27 rows where country_or_region = "Brazil" and "day" is on date 2022-01-09 sorted by day descending
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Suggested facets: longitude, 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
126445 | 126445 | 2022-01-09 | Brazil | Acre | 88403 | 1852 | 0 | -9.0238 | -70.812 | 2022-01-10 04:22:07 | Acre, Brazil | |||
126446 | 126446 | 2022-01-09 | Brazil | Alagoas | 243188 | 6387 | 0 | -9.5713 | -36.782 | 2022-01-10 04:22:07 | Alagoas, Brazil | |||
126447 | 126447 | 2022-01-09 | Brazil | Amapa | 127529 | 2024 | 0 | 0.902 | -52.003 | 2022-01-10 04:22:07 | Amapa, Brazil | |||
126448 | 126448 | 2022-01-09 | Brazil | Amazonas | 435749 | 13846 | 0 | -3.4168 | -65.8561 | 2022-01-10 04:22:07 | Amazonas, Brazil | |||
126449 | 126449 | 2022-01-09 | Brazil | Bahia | 1277608 | 27592 | 0 | -12.5797 | -41.7007 | 2022-01-10 04:22:07 | Bahia, Brazil | |||
126450 | 126450 | 2022-01-09 | Brazil | Ceara | 962200 | 24842 | 0 | -5.4984 | -39.3206 | 2022-01-10 04:22:07 | Ceara, Brazil | |||
126451 | 126451 | 2022-01-09 | Brazil | Distrito Federal | 524916 | 11119 | 0 | -15.7998 | -47.8645 | 2022-01-10 04:22:07 | Distrito Federal, Brazil | |||
126452 | 126452 | 2022-01-09 | Brazil | Espirito Santo | 636476 | 13352 | 0 | -19.1834 | -40.3089 | 2022-01-10 04:22:07 | Espirito Santo, Brazil | |||
126453 | 126453 | 2022-01-09 | Brazil | Goias | 953528 | 24726 | 0 | -15.827 | -49.8362 | 2022-01-10 04:22:07 | Goias, Brazil | |||
126454 | 126454 | 2022-01-09 | Brazil | Maranhao | 372010 | 10397 | 0 | -4.9609 | -45.2744 | 2022-01-10 04:22:07 | Maranhao, Brazil | |||
126455 | 126455 | 2022-01-09 | Brazil | Mato Grosso | 563929 | 14086 | 0 | -12.6819 | -56.9211 | 2022-01-10 04:22:07 | Mato Grosso, Brazil | |||
126456 | 126456 | 2022-01-09 | Brazil | Mato Grosso do Sul | 384267 | 9743 | 0 | -20.7722 | -54.7852 | 2022-01-10 04:22:07 | Mato Grosso do Sul, Brazil | |||
126457 | 126457 | 2022-01-09 | Brazil | Minas Gerais | 2264274 | 56743 | 0 | -18.5122 | -44.555 | 2022-01-10 04:22:07 | Minas Gerais, Brazil | |||
126458 | 126458 | 2022-01-09 | Brazil | Para | 629169 | 17171 | 0 | -1.9981 | -54.9306 | 2022-01-10 04:22:07 | Para, Brazil | |||
126459 | 126459 | 2022-01-09 | Brazil | Paraiba | 465685 | 9606 | 0 | -7.24 | -36.782 | 2022-01-10 04:22:07 | Paraiba, Brazil | |||
126460 | 126460 | 2022-01-09 | Brazil | Parana | 1629552 | 40913 | 0 | -25.2521 | -52.0215 | 2022-01-10 04:22:07 | Parana, Brazil | |||
126461 | 126461 | 2022-01-09 | Brazil | Pernambuco | 649262 | 20507 | 0 | -8.8137 | -36.9541 | 2022-01-10 04:22:07 | Pernambuco, Brazil | |||
126462 | 126462 | 2022-01-09 | Brazil | Piaui | 344523 | 7297 | 0 | -7.7183 | -42.7289 | 2022-01-10 04:22:07 | Piaui, Brazil | |||
126463 | 126463 | 2022-01-09 | Brazil | Rio Grande do Norte | 390311 | 7585 | 0 | -5.4026 | -36.9541 | 2022-01-10 04:22:07 | Rio Grande do Norte, Brazil | |||
126464 | 126464 | 2022-01-09 | Brazil | Rio Grande do Sul | 1530029 | 36481 | 0 | -30.0346 | -51.2177 | 2022-01-10 04:22:07 | Rio Grande do Sul, Brazil | |||
126465 | 126465 | 2022-01-09 | Brazil | Rio de Janeiro | 1385935 | 69532 | 0 | -22.9068 | -43.1729 | 2022-01-10 04:22:07 | Rio de Janeiro, Brazil | |||
126466 | 126466 | 2022-01-09 | Brazil | Rondonia | 286462 | 6763 | 0 | -11.5057 | -63.5806 | 2022-01-10 04:22:07 | Rondonia, Brazil | |||
126467 | 126467 | 2022-01-09 | Brazil | Roraima | 130119 | 2078 | 0 | -2.7376 | -62.0751 | 2022-01-10 04:22:07 | Roraima, Brazil | |||
126468 | 126468 | 2022-01-09 | Brazil | Santa Catarina | 1263180 | 20224 | 0 | -27.2423 | -50.2189 | 2022-01-10 04:22:07 | Santa Catarina, Brazil | |||
126469 | 126469 | 2022-01-09 | Brazil | Sao Paulo | 4473190 | 155372 | 0 | -23.5505 | -46.6333 | 2022-01-10 04:22:07 | Sao Paulo, Brazil | |||
126470 | 126470 | 2022-01-09 | Brazil | Sergipe | 278943 | 6062 | 0 | -10.5741 | -37.3857 | 2022-01-10 04:22:07 | Sergipe, Brazil | |||
126471 | 126471 | 2022-01-09 | Brazil | Tocantins | 238746 | 3951 | 0 | -10.1753 | -48.2982 | 2022-01-10 04:22:07 | 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]);