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 2022-09-11 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3765592 | 3765592 | 2022-09-11 | Brazil | Acre | 149378 | 2027 | 0 | -9.0238 | -70.812 | 2022-09-12 04:20:58 | Acre, Brazil | |||
3765593 | 3765593 | 2022-09-11 | Brazil | Alagoas | 320552 | 7118 | 0 | -9.5713 | -36.782 | 2022-09-12 04:20:58 | Alagoas, Brazil | |||
3765594 | 3765594 | 2022-09-11 | Brazil | Amapa | 178178 | 2159 | 0 | 0.902 | -52.003 | 2022-09-12 04:20:58 | Amapa, Brazil | |||
3765595 | 3765595 | 2022-09-11 | Brazil | Amazonas | 614752 | 14304 | 0 | -3.4168 | -65.8561 | 2022-09-12 04:20:58 | Amazonas, Brazil | |||
3765596 | 3765596 | 2022-09-11 | Brazil | Bahia | 1689830 | 30675 | 0 | -12.5797 | -41.7007 | 2022-09-12 04:20:58 | Bahia, Brazil | |||
3765597 | 3765597 | 2022-09-11 | Brazil | Ceara | 1382048 | 27609 | 0 | -5.4984 | -39.3206 | 2022-09-12 04:20:58 | Ceara, Brazil | |||
3765598 | 3765598 | 2022-09-11 | Brazil | Distrito Federal | 837928 | 11825 | 0 | -15.7998 | -47.8645 | 2022-09-12 04:20:58 | Distrito Federal, Brazil | |||
3765599 | 3765599 | 2022-09-11 | Brazil | Espirito Santo | 1214891 | 14803 | 0 | -19.1834 | -40.3089 | 2022-09-12 04:20:58 | Espirito Santo, Brazil | |||
3765600 | 3765600 | 2022-09-11 | Brazil | Goias | 1685781 | 27505 | 0 | -15.827 | -49.8362 | 2022-09-12 04:20:58 | Goias, Brazil | |||
3765601 | 3765601 | 2022-09-11 | Brazil | Maranhao | 469805 | 10988 | 0 | -4.9609 | -45.2744 | 2022-09-12 04:20:58 | Maranhao, Brazil | |||
3765602 | 3765602 | 2022-09-11 | Brazil | Mato Grosso | 827903 | 14935 | 0 | -12.6819 | -56.9211 | 2022-09-12 04:20:58 | Mato Grosso, Brazil | |||
3765603 | 3765603 | 2022-09-11 | Brazil | Mato Grosso do Sul | 578853 | 10818 | 0 | -20.7722 | -54.7852 | 2022-09-12 04:20:58 | Mato Grosso do Sul, Brazil | |||
3765604 | 3765604 | 2022-09-11 | Brazil | Minas Gerais | 3874629 | 63659 | 0 | -18.5122 | -44.555 | 2022-09-12 04:20:58 | Minas Gerais, Brazil | |||
3765605 | 3765605 | 2022-09-11 | Brazil | Para | 834883 | 18812 | 0 | -1.9981 | -54.9306 | 2022-09-12 04:20:58 | Para, Brazil | |||
3765606 | 3765606 | 2022-09-11 | Brazil | Paraiba | 651816 | 10400 | 0 | -7.24 | -36.782 | 2022-09-12 04:20:58 | Paraiba, Brazil | |||
3765607 | 3765607 | 2022-09-11 | Brazil | Parana | 2740391 | 45182 | 0 | -25.2521 | -52.0215 | 2022-09-12 04:20:58 | Parana, Brazil | |||
3765608 | 3765608 | 2022-09-11 | Brazil | Pernambuco | 1052904 | 22240 | 0 | -8.8137 | -36.9541 | 2022-09-12 04:20:58 | Pernambuco, Brazil | |||
3765609 | 3765609 | 2022-09-11 | Brazil | Piaui | 400100 | 7944 | 0 | -7.7183 | -42.7289 | 2022-09-12 04:20:58 | Piaui, Brazil | |||
3765610 | 3765610 | 2022-09-11 | Brazil | Rio Grande do Norte | 552885 | 8449 | 0 | -5.4026 | -36.9541 | 2022-09-12 04:20:58 | Rio Grande do Norte, Brazil | |||
3765611 | 3765611 | 2022-09-11 | Brazil | Rio Grande do Sul | 2721406 | 40935 | 0 | -30.0346 | -51.2177 | 2022-09-12 04:20:58 | Rio Grande do Sul, Brazil | |||
3765612 | 3765612 | 2022-09-11 | Brazil | Rio de Janeiro | 2500526 | 75558 | 0 | -22.9068 | -43.1729 | 2022-09-12 04:20:58 | Rio de Janeiro, Brazil | |||
3765613 | 3765613 | 2022-09-11 | Brazil | Rondonia | 455188 | 7354 | 0 | -11.5057 | -63.5806 | 2022-09-12 04:20:58 | Rondonia, Brazil | |||
3765614 | 3765614 | 2022-09-11 | Brazil | Roraima | 174921 | 2173 | 0 | -2.7376 | -62.0751 | 2022-09-12 04:20:58 | Roraima, Brazil | |||
3765615 | 3765615 | 2022-09-11 | Brazil | Santa Catarina | 1868495 | 22384 | 0 | -27.2423 | -50.2189 | 2022-09-12 04:20:58 | Santa Catarina, Brazil | |||
3765616 | 3765616 | 2022-09-11 | Brazil | Sao Paulo | 6051911 | 174325 | 0 | -23.5505 | -46.6333 | 2022-09-12 04:20:58 | Sao Paulo, Brazil | |||
3765617 | 3765617 | 2022-09-11 | Brazil | Sergipe | 342852 | 6433 | 0 | -10.5741 | -37.3857 | 2022-09-12 04:20:58 | Sergipe, Brazil | |||
3765618 | 3765618 | 2022-09-11 | Brazil | Tocantins | 343933 | 4199 | 0 | -10.1753 | -48.2982 | 2022-09-12 04:20:58 | 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]);