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 2022-07-31 sorted by day descending
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
674028 | 674028 | 2022-07-30 | Brazil | Acre | 143181 | 2018 | 0 | -9.0238 | -70.812 | 2022-07-31 04:21:02 | Acre, Brazil | |||
674029 | 674029 | 2022-07-30 | Brazil | Alagoas | 317822 | 7068 | 0 | -9.5713 | -36.782 | 2022-07-31 04:21:02 | Alagoas, Brazil | |||
674030 | 674030 | 2022-07-30 | Brazil | Amapa | 176379 | 2149 | 0 | 0.902 | -52.003 | 2022-07-31 04:21:02 | Amapa, Brazil | |||
674031 | 674031 | 2022-07-30 | Brazil | Amazonas | 605585 | 14224 | 0 | -3.4168 | -65.8561 | 2022-07-31 04:21:02 | Amazonas, Brazil | |||
674032 | 674032 | 2022-07-30 | Brazil | Bahia | 1660378 | 30354 | 0 | -12.5797 | -41.7007 | 2022-07-31 04:21:02 | Bahia, Brazil | |||
674033 | 674033 | 2022-07-30 | Brazil | Ceara | 1360208 | 27415 | 0 | -5.4984 | -39.3206 | 2022-07-31 04:21:02 | Ceara, Brazil | |||
674034 | 674034 | 2022-07-30 | Brazil | Distrito Federal | 830565 | 11819 | 0 | -15.7998 | -47.8645 | 2022-07-31 04:21:02 | Distrito Federal, Brazil | |||
674035 | 674035 | 2022-07-30 | Brazil | Espirito Santo | 1203019 | 14695 | 0 | -19.1834 | -40.3089 | 2022-07-31 04:21:02 | Espirito Santo, Brazil | |||
674036 | 674036 | 2022-07-30 | Brazil | Goias | 1612702 | 27185 | 0 | -15.827 | -49.8362 | 2022-07-31 04:21:02 | Goias, Brazil | |||
674037 | 674037 | 2022-07-30 | Brazil | Maranhao | 460025 | 10939 | 0 | -4.9609 | -45.2744 | 2022-07-31 04:21:02 | Maranhao, Brazil | |||
674038 | 674038 | 2022-07-30 | Brazil | Mato Grosso | 811571 | 14863 | 0 | -12.6819 | -56.9211 | 2022-07-31 04:21:02 | Mato Grosso, Brazil | |||
674039 | 674039 | 2022-07-30 | Brazil | Mato Grosso do Sul | 564562 | 10707 | 0 | -20.7722 | -54.7852 | 2022-07-31 04:21:02 | Mato Grosso do Sul, Brazil | |||
674040 | 674040 | 2022-07-30 | Brazil | Minas Gerais | 3814127 | 62902 | 0 | -18.5122 | -44.555 | 2022-07-31 04:21:02 | Minas Gerais, Brazil | |||
674041 | 674041 | 2022-07-30 | Brazil | Para | 810869 | 18542 | 0 | -1.9981 | -54.9306 | 2022-07-31 04:21:02 | Para, Brazil | |||
674042 | 674042 | 2022-07-30 | Brazil | Paraiba | 645683 | 10352 | 0 | -7.24 | -36.782 | 2022-07-31 04:21:02 | Paraiba, Brazil | |||
674043 | 674043 | 2022-07-30 | Brazil | Parana | 2692520 | 44505 | 0 | -25.2521 | -52.0215 | 2022-07-31 04:21:02 | Parana, Brazil | |||
674044 | 674044 | 2022-07-30 | Brazil | Pernambuco | 1028988 | 22042 | 0 | -8.8137 | -36.9541 | 2022-07-31 04:21:02 | Pernambuco, Brazil | |||
674045 | 674045 | 2022-07-30 | Brazil | Piaui | 386654 | 7879 | 0 | -7.7183 | -42.7289 | 2022-07-31 04:21:02 | Piaui, Brazil | |||
674046 | 674046 | 2022-07-30 | Brazil | Rio Grande do Norte | 546673 | 8395 | 0 | -5.4026 | -36.9541 | 2022-07-31 04:21:02 | Rio Grande do Norte, Brazil | |||
674047 | 674047 | 2022-07-30 | Brazil | Rio Grande do Sul | 2644442 | 40457 | 0 | -30.0346 | -51.2177 | 2022-07-31 04:21:02 | Rio Grande do Sul, Brazil | |||
674048 | 674048 | 2022-07-30 | Brazil | Rio de Janeiro | 2445094 | 74766 | 0 | -22.9068 | -43.1729 | 2022-07-31 04:21:02 | Rio de Janeiro, Brazil | |||
674049 | 674049 | 2022-07-30 | Brazil | Rondonia | 443809 | 7301 | 0 | -11.5057 | -63.5806 | 2022-07-31 04:21:02 | Rondonia, Brazil | |||
674050 | 674050 | 2022-07-30 | Brazil | Roraima | 172615 | 2158 | 0 | -2.7376 | -62.0751 | 2022-07-31 04:21:02 | Roraima, Brazil | |||
674051 | 674051 | 2022-07-30 | Brazil | Santa Catarina | 1838953 | 22220 | 0 | -27.2423 | -50.2189 | 2022-07-31 04:21:02 | Santa Catarina, Brazil | |||
674052 | 674052 | 2022-07-30 | Brazil | Sao Paulo | 5917268 | 172935 | 0 | -23.5505 | -46.6333 | 2022-07-31 04:21:02 | Sao Paulo, Brazil | |||
674053 | 674053 | 2022-07-30 | Brazil | Sergipe | 340980 | 6412 | 0 | -10.5741 | -37.3857 | 2022-07-31 04:21:02 | Sergipe, Brazil | |||
674054 | 674054 | 2022-07-30 | Brazil | Tocantins | 338915 | 4184 | 0 | -10.1753 | -48.2982 | 2022-07-31 04:21:02 | 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]);