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 = "2022-02-09 04:21:04" sorted by day descending
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Suggested facets: day (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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1362065 | 1362065 | 2022-02-08 | Brazil | Acre | 107864 | 1905 | 0 | -9.0238 | -70.812 | 2022-02-09 04:21:04 | Acre, Brazil | |||
1362066 | 1362066 | 2022-02-08 | Brazil | Alagoas | 270094 | 6484 | 0 | -9.5713 | -36.782 | 2022-02-09 04:21:04 | Alagoas, Brazil | |||
1362067 | 1362067 | 2022-02-08 | Brazil | Amapa | 157750 | 2064 | 0 | 0.902 | -52.003 | 2022-02-09 04:21:04 | Amapa, Brazil | |||
1362068 | 1362068 | 2022-02-08 | Brazil | Amazonas | 551934 | 14034 | 0 | -3.4168 | -65.8561 | 2022-02-09 04:21:04 | Amazonas, Brazil | |||
1362069 | 1362069 | 2022-02-08 | Brazil | Bahia | 1418945 | 28281 | 0 | -12.5797 | -41.7007 | 2022-02-09 04:21:04 | Bahia, Brazil | |||
1362070 | 1362070 | 2022-02-08 | Brazil | Ceara | 1187507 | 25580 | 0 | -5.4984 | -39.3206 | 2022-02-09 04:21:04 | Ceara, Brazil | |||
1362071 | 1362071 | 2022-02-08 | Brazil | Distrito Federal | 644626 | 11243 | 0 | -15.7998 | -47.8645 | 2022-02-09 04:21:04 | Distrito Federal, Brazil | |||
1362072 | 1362072 | 2022-02-08 | Brazil | Espirito Santo | 946853 | 13726 | 0 | -19.1834 | -40.3089 | 2022-02-09 04:21:04 | Espirito Santo, Brazil | |||
1362073 | 1362073 | 2022-02-08 | Brazil | Goias | 1082676 | 25243 | 0 | -15.827 | -49.8362 | 2022-02-09 04:21:04 | Goias, Brazil | |||
1362074 | 1362074 | 2022-02-08 | Brazil | Maranhao | 394839 | 10552 | 0 | -4.9609 | -45.2744 | 2022-02-09 04:21:04 | Maranhao, Brazil | |||
1362075 | 1362075 | 2022-02-08 | Brazil | Mato Grosso | 660820 | 14464 | 0 | -12.6819 | -56.9211 | 2022-02-09 04:21:04 | Mato Grosso, Brazil | |||
1362076 | 1362076 | 2022-02-08 | Brazil | Mato Grosso do Sul | 445638 | 10003 | 0 | -20.7722 | -54.7852 | 2022-02-09 04:21:04 | Mato Grosso do Sul, Brazil | |||
1362077 | 1362077 | 2022-02-08 | Brazil | Minas Gerais | 2906996 | 57950 | 0 | -18.5122 | -44.555 | 2022-02-09 04:21:04 | Minas Gerais, Brazil | |||
1362078 | 1362078 | 2022-02-08 | Brazil | Para | 671716 | 17476 | 0 | -1.9981 | -54.9306 | 2022-02-09 04:21:04 | Para, Brazil | |||
1362079 | 1362079 | 2022-02-08 | Brazil | Paraiba | 522528 | 9848 | 0 | -7.24 | -36.782 | 2022-02-09 04:21:04 | Paraiba, Brazil | |||
1362080 | 1362080 | 2022-02-08 | Brazil | Parana | 2116752 | 41529 | 0 | -25.2521 | -52.0215 | 2022-02-09 04:21:04 | Parana, Brazil | |||
1362081 | 1362081 | 2022-02-08 | Brazil | Pernambuco | 736919 | 20754 | 0 | -8.8137 | -36.9541 | 2022-02-09 04:21:04 | Pernambuco, Brazil | |||
1362082 | 1362082 | 2022-02-08 | Brazil | Piaui | 353714 | 7479 | 0 | -7.7183 | -42.7289 | 2022-02-09 04:21:04 | Piaui, Brazil | |||
1362083 | 1362083 | 2022-02-08 | Brazil | Rio Grande do Norte | 444277 | 7826 | 0 | -5.4026 | -36.9541 | 2022-02-09 04:21:04 | Rio Grande do Norte, Brazil | |||
1362084 | 1362084 | 2022-02-08 | Brazil | Rio Grande do Sul | 1948574 | 37290 | 0 | -30.0346 | -51.2177 | 2022-02-09 04:21:04 | Rio Grande do Sul, Brazil | |||
1362085 | 1362085 | 2022-02-08 | Brazil | Rio de Janeiro | 1870522 | 70323 | 0 | -22.9068 | -43.1729 | 2022-02-09 04:21:04 | Rio de Janeiro, Brazil | |||
1362086 | 1362086 | 2022-02-08 | Brazil | Rondonia | 338545 | 6881 | 0 | -11.5057 | -63.5806 | 2022-02-09 04:21:04 | Rondonia, Brazil | |||
1362087 | 1362087 | 2022-02-08 | Brazil | Roraima | 146205 | 2105 | 0 | -2.7376 | -62.0751 | 2022-02-09 04:21:04 | Roraima, Brazil | |||
1362088 | 1362088 | 2022-02-08 | Brazil | Santa Catarina | 1511055 | 20853 | 0 | -27.2423 | -50.2189 | 2022-02-09 04:21:04 | Santa Catarina, Brazil | |||
1362089 | 1362089 | 2022-02-08 | Brazil | Sao Paulo | 4764785 | 160060 | 0 | -23.5505 | -46.6333 | 2022-02-09 04:21:04 | Sao Paulo, Brazil | |||
1362090 | 1362090 | 2022-02-08 | Brazil | Sergipe | 308316 | 6141 | 0 | -10.5741 | -37.3857 | 2022-02-09 04:21:04 | Sergipe, Brazil | |||
1362091 | 1362091 | 2022-02-08 | Brazil | Tocantins | 283047 | 4024 | 0 | -10.1753 | -48.2982 | 2022-02-09 04:21:04 | 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]);