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 2021-08-29 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3891659 | 3891659 | 2021-08-29 | Brazil | Acre | 87803 | 1814 | 0 | -9.0238 | -70.812 | 2021-08-30 04:21:23 | Acre, Brazil | |||
3891660 | 3891660 | 2021-08-29 | Brazil | Alagoas | 235658 | 6060 | 0 | -9.5713 | -36.782 | 2021-08-30 04:21:23 | Alagoas, Brazil | |||
3891661 | 3891661 | 2021-08-29 | Brazil | Amapa | 122410 | 1951 | 0 | 0.902 | -52.003 | 2021-08-30 04:21:23 | Amapa, Brazil | |||
3891662 | 3891662 | 2021-08-29 | Brazil | Amazonas | 424021 | 13679 | 0 | -3.4168 | -65.8561 | 2021-08-30 04:21:23 | Amazonas, Brazil | |||
3891663 | 3891663 | 2021-08-29 | Brazil | Bahia | 1219827 | 26443 | 0 | -12.5797 | -41.7007 | 2021-08-30 04:21:23 | Bahia, Brazil | |||
3891664 | 3891664 | 2021-08-29 | Brazil | Ceara | 931152 | 24015 | 0 | -5.4984 | -39.3206 | 2021-08-30 04:21:23 | Ceara, Brazil | |||
3891665 | 3891665 | 2021-08-29 | Brazil | Distrito Federal | 468944 | 10024 | 0 | -15.7998 | -47.8645 | 2021-08-30 04:21:23 | Distrito Federal, Brazil | |||
3891666 | 3891666 | 2021-08-29 | Brazil | Espirito Santo | 561455 | 12222 | 0 | -19.1834 | -40.3089 | 2021-08-30 04:21:23 | Espirito Santo, Brazil | |||
3891667 | 3891667 | 2021-08-29 | Brazil | Goias | 813240 | 22365 | 0 | -15.827 | -49.8362 | 2021-08-30 04:21:23 | Goias, Brazil | |||
3891668 | 3891668 | 2021-08-29 | Brazil | Maranhao | 348440 | 10002 | 0 | -4.9609 | -45.2744 | 2021-08-30 04:21:23 | Maranhao, Brazil | |||
3891669 | 3891669 | 2021-08-29 | Brazil | Mato Grosso | 518245 | 13439 | 0 | -12.6819 | -56.9211 | 2021-08-30 04:21:23 | Mato Grosso, Brazil | |||
3891670 | 3891670 | 2021-08-29 | Brazil | Mato Grosso do Sul | 368309 | 9354 | 0 | -20.7722 | -54.7852 | 2021-08-30 04:21:23 | Mato Grosso do Sul, Brazil | |||
3891671 | 3891671 | 2021-08-29 | Brazil | Minas Gerais | 2063232 | 52958 | 0 | -18.5122 | -44.555 | 2021-08-30 04:21:23 | Minas Gerais, Brazil | |||
3891672 | 3891672 | 2021-08-29 | Brazil | Para | 583302 | 16445 | 0 | -1.9981 | -54.9306 | 2021-08-30 04:21:23 | Para, Brazil | |||
3891673 | 3891673 | 2021-08-29 | Brazil | Paraiba | 433012 | 9176 | 0 | -7.24 | -36.782 | 2021-08-30 04:21:23 | Paraiba, Brazil | |||
3891674 | 3891674 | 2021-08-29 | Brazil | Parana | 1455699 | 37411 | 0 | -25.2521 | -52.0215 | 2021-08-30 04:21:23 | Parana, Brazil | |||
3891675 | 3891675 | 2021-08-29 | Brazil | Pernambuco | 606670 | 19364 | 0 | -8.8137 | -36.9541 | 2021-08-30 04:21:23 | Pernambuco, Brazil | |||
3891676 | 3891676 | 2021-08-29 | Brazil | Piaui | 316246 | 6945 | 0 | -7.7183 | -42.7289 | 2021-08-30 04:21:23 | Piaui, Brazil | |||
3891677 | 3891677 | 2021-08-29 | Brazil | Rio Grande do Norte | 364942 | 7265 | 0 | -5.4026 | -36.9541 | 2021-08-30 04:21:23 | Rio Grande do Norte, Brazil | |||
3891678 | 3891678 | 2021-08-29 | Brazil | Rio Grande do Sul | 1407378 | 34145 | 0 | -30.0346 | -51.2177 | 2021-08-30 04:21:23 | Rio Grande do Sul, Brazil | |||
3891679 | 3891679 | 2021-08-29 | Brazil | Rio de Janeiro | 1125234 | 62242 | 0 | -22.9068 | -43.1729 | 2021-08-30 04:21:23 | Rio de Janeiro, Brazil | |||
3891680 | 3891680 | 2021-08-29 | Brazil | Rondonia | 262859 | 6473 | 0 | -11.5057 | -63.5806 | 2021-08-30 04:21:23 | Rondonia, Brazil | |||
3891681 | 3891681 | 2021-08-29 | Brazil | Roraima | 123749 | 1940 | 0 | -2.7376 | -62.0751 | 2021-08-30 04:21:23 | Roraima, Brazil | |||
3891682 | 3891682 | 2021-08-29 | Brazil | Santa Catarina | 1154131 | 18646 | 0 | -27.2423 | -50.2189 | 2021-08-30 04:21:23 | Santa Catarina, Brazil | |||
3891683 | 3891683 | 2021-08-29 | Brazil | Sao Paulo | 4253516 | 145522 | 0 | -23.5505 | -46.6333 | 2021-08-30 04:21:23 | Sao Paulo, Brazil | |||
3891684 | 3891684 | 2021-08-29 | Brazil | Sergipe | 277410 | 5986 | 0 | -10.5741 | -37.3857 | 2021-08-30 04:21:23 | Sergipe, Brazil | |||
3891685 | 3891685 | 2021-08-29 | Brazil | Tocantins | 218665 | 3679 | 0 | -10.1753 | -48.2982 | 2021-08-30 04:21:23 | 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]);