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 2022-01-07 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2609760 | 2609760 | 2022-01-06 | Brazil | Acre | 88403 | 1852 | 0 | -9.0238 | -70.812 | 2022-01-07 04:22:09 | Acre, Brazil | |||
2609761 | 2609761 | 2022-01-06 | Brazil | Alagoas | 242367 | 6383 | 0 | -9.5713 | -36.782 | 2022-01-07 04:22:09 | Alagoas, Brazil | |||
2609762 | 2609762 | 2022-01-06 | Brazil | Amapa | 127298 | 2023 | 0 | 0.902 | -52.003 | 2022-01-07 04:22:09 | Amapa, Brazil | |||
2609763 | 2609763 | 2022-01-06 | Brazil | Amazonas | 434595 | 13838 | 0 | -3.4168 | -65.8561 | 2022-01-07 04:22:09 | Amazonas, Brazil | |||
2609764 | 2609764 | 2022-01-06 | Brazil | Bahia | 1273955 | 27538 | 0 | -12.5797 | -41.7007 | 2022-01-07 04:22:09 | Bahia, Brazil | |||
2609765 | 2609765 | 2022-01-06 | Brazil | Ceara | 958080 | 24823 | 0 | -5.4984 | -39.3206 | 2022-01-07 04:22:09 | Ceara, Brazil | |||
2609766 | 2609766 | 2022-01-06 | Brazil | Distrito Federal | 523351 | 11112 | 0 | -15.7998 | -47.8645 | 2022-01-07 04:22:09 | Distrito Federal, Brazil | |||
2609767 | 2609767 | 2022-01-06 | Brazil | Espirito Santo | 632668 | 13337 | 0 | -19.1834 | -40.3089 | 2022-01-07 04:22:09 | Espirito Santo, Brazil | |||
2609768 | 2609768 | 2022-01-06 | Brazil | Goias | 950497 | 24699 | 0 | -15.827 | -49.8362 | 2022-01-07 04:22:09 | Goias, Brazil | |||
2609769 | 2609769 | 2022-01-06 | Brazil | Maranhao | 371380 | 10384 | 0 | -4.9609 | -45.2744 | 2022-01-07 04:22:09 | Maranhao, Brazil | |||
2609770 | 2609770 | 2022-01-06 | Brazil | Mato Grosso | 557535 | 14069 | 0 | -12.6819 | -56.9211 | 2022-01-07 04:22:09 | Mato Grosso, Brazil | |||
2609771 | 2609771 | 2022-01-06 | Brazil | Mato Grosso do Sul | 381666 | 9733 | 0 | -20.7722 | -54.7852 | 2022-01-07 04:22:09 | Mato Grosso do Sul, Brazil | |||
2609772 | 2609772 | 2022-01-06 | Brazil | Minas Gerais | 2236559 | 56683 | 0 | -18.5122 | -44.555 | 2022-01-07 04:22:09 | Minas Gerais, Brazil | |||
2609773 | 2609773 | 2022-01-06 | Brazil | Para | 627439 | 17108 | 0 | -1.9981 | -54.9306 | 2022-01-07 04:22:09 | Para, Brazil | |||
2609774 | 2609774 | 2022-01-06 | Brazil | Paraiba | 465082 | 9600 | 0 | -7.24 | -36.782 | 2022-01-07 04:22:09 | Paraiba, Brazil | |||
2609775 | 2609775 | 2022-01-06 | Brazil | Parana | 1611717 | 40900 | 0 | -25.2521 | -52.0215 | 2022-01-07 04:22:09 | Parana, Brazil | |||
2609776 | 2609776 | 2022-01-06 | Brazil | Pernambuco | 647427 | 20473 | 0 | -8.8137 | -36.9541 | 2022-01-07 04:22:09 | Pernambuco, Brazil | |||
2609777 | 2609777 | 2022-01-06 | Brazil | Piaui | 334664 | 7283 | 0 | -7.7183 | -42.7289 | 2022-01-07 04:22:09 | Piaui, Brazil | |||
2609778 | 2609778 | 2022-01-06 | Brazil | Rio Grande do Norte | 388861 | 7577 | 0 | -5.4026 | -36.9541 | 2022-01-07 04:22:09 | Rio Grande do Norte, Brazil | |||
2609779 | 2609779 | 2022-01-06 | Brazil | Rio Grande do Sul | 1516451 | 36460 | 0 | -30.0346 | -51.2177 | 2022-01-07 04:22:09 | Rio Grande do Sul, Brazil | |||
2609780 | 2609780 | 2022-01-06 | Brazil | Rio de Janeiro | 1368337 | 69513 | 0 | -22.9068 | -43.1729 | 2022-01-07 04:22:09 | Rio de Janeiro, Brazil | |||
2609781 | 2609781 | 2022-01-06 | Brazil | Rondonia | 285660 | 6745 | 0 | -11.5057 | -63.5806 | 2022-01-07 04:22:09 | Rondonia, Brazil | |||
2609782 | 2609782 | 2022-01-06 | Brazil | Roraima | 129452 | 2078 | 0 | -2.7376 | -62.0751 | 2022-01-07 04:22:09 | Roraima, Brazil | |||
2609783 | 2609783 | 2022-01-06 | Brazil | Santa Catarina | 1252594 | 20198 | 0 | -27.2423 | -50.2189 | 2022-01-07 04:22:09 | Santa Catarina, Brazil | |||
2609784 | 2609784 | 2022-01-06 | Brazil | Sao Paulo | 4464482 | 155242 | 0 | -23.5505 | -46.6333 | 2022-01-07 04:22:09 | Sao Paulo, Brazil | |||
2609785 | 2609785 | 2022-01-06 | Brazil | Sergipe | 278650 | 6059 | 0 | -10.5741 | -37.3857 | 2022-01-07 04:22:09 | Sergipe, Brazil | |||
2609786 | 2609786 | 2022-01-06 | Brazil | Tocantins | 237760 | 3944 | 0 | -10.1753 | -48.2982 | 2022-01-07 04:22:09 | 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]);