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 2020-09-29 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
966628 | 966628 | 2020-09-29 | Brazil | Acre | 28030 | 657 | 25041 | 2332 | -9.0238 | -70.812 | 2020-09-30 04:23:33 | Acre, Brazil | ||
966629 | 966629 | 2020-09-29 | Brazil | Alagoas | 86549 | 2067 | 83403 | 1079 | -9.5713 | -36.782 | 2020-09-30 04:23:33 | Alagoas, Brazil | ||
966630 | 966630 | 2020-09-29 | Brazil | Amapa | 48054 | 705 | 36098 | 11251 | 0.902 | -52.003 | 2020-09-30 04:23:33 | Amapa, Brazil | ||
966631 | 966631 | 2020-09-29 | Brazil | Amazonas | 137964 | 4035 | 116119 | 17810 | -3.4168 | -65.8561 | 2020-09-30 04:23:33 | Amazonas, Brazil | ||
966632 | 966632 | 2020-09-29 | Brazil | Bahia | 308252 | 6697 | 294890 | 6665 | -12.5797 | -41.7007 | 2020-09-30 04:23:33 | Bahia, Brazil | ||
966633 | 966633 | 2020-09-29 | Brazil | Ceara | 240139 | 8957 | 213339 | 17208 | -5.4984 | -39.3206 | 2020-09-30 04:23:33 | Ceara, Brazil | ||
966634 | 966634 | 2020-09-29 | Brazil | Distrito Federal | 191317 | 3224 | 178698 | 9395 | -15.7998 | -47.8645 | 2020-09-30 04:23:33 | Distrito Federal, Brazil | ||
966635 | 966635 | 2020-09-29 | Brazil | Espirito Santo | 130714 | 3538 | 120287 | 6811 | -19.1834 | -40.3089 | 2020-09-30 04:23:33 | Espirito Santo, Brazil | ||
966636 | 966636 | 2020-09-29 | Brazil | Goias | 207859 | 4651 | 196174 | 5927 | -15.827 | -49.8362 | 2020-09-30 04:23:33 | Goias, Brazil | ||
966637 | 966637 | 2020-09-29 | Brazil | Maranhao | 172845 | 3745 | 163892 | 5208 | -4.9609 | -45.2744 | 2020-09-30 04:23:33 | Maranhao, Brazil | ||
966638 | 966638 | 2020-09-29 | Brazil | Mato Grosso | 123112 | 3445 | 103844 | 15140 | -12.6819 | -56.9211 | 2020-09-30 04:23:33 | Mato Grosso, Brazil | ||
966639 | 966639 | 2020-09-29 | Brazil | Mato Grosso do Sul | 69706 | 1303 | 62106 | 5564 | -20.7722 | -54.7852 | 2020-09-30 04:23:33 | Mato Grosso do Sul, Brazil | ||
966640 | 966640 | 2020-09-29 | Brazil | Minas Gerais | 292291 | 7259 | 257167 | 27865 | -18.5122 | -44.555 | 2020-09-30 04:23:33 | Minas Gerais, Brazil | ||
966641 | 966641 | 2020-09-29 | Brazil | Para | 230449 | 6573 | 214278 | 8337 | -1.9981 | -54.9306 | 2020-09-30 04:23:33 | Para, Brazil | ||
966642 | 966642 | 2020-09-29 | Brazil | Paraiba | 120654 | 2816 | 94831 | 23007 | -7.24 | -36.782 | 2020-09-30 04:23:33 | Paraiba, Brazil | ||
966643 | 966643 | 2020-09-29 | Brazil | Parana | 177298 | 4422 | 128887 | 43989 | -25.2521 | -52.0215 | 2020-09-30 04:23:33 | Parana, Brazil | ||
966644 | 966644 | 2020-09-29 | Brazil | Pernambuco | 146325 | 8222 | 127590 | 10513 | -8.8137 | -36.9541 | 2020-09-30 04:23:33 | Pernambuco, Brazil | ||
966645 | 966645 | 2020-09-29 | Brazil | Piaui | 96086 | 2122 | 93458 | 0 | -7.7183 | -42.7289 | 2020-09-30 04:23:33 | Piaui, Brazil | ||
966646 | 966646 | 2020-09-29 | Brazil | Rio Grande do Norte | 69683 | 2400 | 40400 | 26229 | -5.4026 | -36.9541 | 2020-09-30 04:23:33 | Rio Grande do Norte, Brazil | ||
966647 | 966647 | 2020-09-29 | Brazil | Rio Grande do Sul | 188253 | 4724 | 174681 | 8848 | -30.0346 | -51.2177 | 2020-09-30 04:23:33 | Rio Grande do Sul, Brazil | ||
966648 | 966648 | 2020-09-29 | Brazil | Rio de Janeiro | 263699 | 18388 | 240270 | 5041 | -22.9068 | -43.1729 | 2020-09-30 04:23:33 | Rio de Janeiro, Brazil | ||
966649 | 966649 | 2020-09-29 | Brazil | Rondonia | 65673 | 1351 | 57267 | 7055 | -11.5057 | -63.5806 | 2020-09-30 04:23:33 | Rondonia, Brazil | ||
966650 | 966650 | 2020-09-29 | Brazil | Roraima | 50449 | 648 | 39480 | 10064 | -2.7376 | -62.0751 | 2020-09-30 04:23:33 | Roraima, Brazil | ||
966651 | 966651 | 2020-09-29 | Brazil | Santa Catarina | 214261 | 2786 | 205075 | 6400 | -27.2423 | -50.2189 | 2020-09-30 04:23:33 | Santa Catarina, Brazil | ||
966652 | 966652 | 2020-09-29 | Brazil | Sao Paulo | 979519 | 35391 | 847418 | 96710 | -23.5505 | -46.6333 | 2020-09-30 04:23:33 | Sao Paulo, Brazil | ||
966653 | 966653 | 2020-09-29 | Brazil | Sergipe | 77280 | 2031 | 71213 | 4036 | -10.5741 | -37.3857 | 2020-09-30 04:23:33 | Sergipe, Brazil | ||
966654 | 966654 | 2020-09-29 | Brazil | Tocantins | 68003 | 939 | 51246 | 15303 | -10.1753 | -48.2982 | 2020-09-30 04:23:33 | 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]);