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 2020-11-30 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3566297 | 3566297 | 2020-11-29 | Brazil | Acre | 36080 | 723 | 30434 | 4923 | -9.0238 | -70.812 | 2020-11-30 05:26:13 | Acre, Brazil | ||
3566298 | 3566298 | 2020-11-29 | Brazil | Alagoas | 94859 | 2336 | 90836 | 1687 | -9.5713 | -36.782 | 2020-11-30 05:26:13 | Alagoas, Brazil | ||
3566299 | 3566299 | 2020-11-29 | Brazil | Amapa | 58956 | 806 | 46648 | 11502 | 0.902 | -52.003 | 2020-11-30 05:26:13 | Amapa, Brazil | ||
3566300 | 3566300 | 2020-11-29 | Brazil | Amazonas | 177991 | 4885 | 151674 | 21432 | -3.4168 | -65.8561 | 2020-11-30 05:26:13 | Amazonas, Brazil | ||
3566301 | 3566301 | 2020-11-29 | Brazil | Bahia | 401419 | 8247 | 377107 | 16065 | -12.5797 | -41.7007 | 2020-11-30 05:26:13 | Bahia, Brazil | ||
3566302 | 3566302 | 2020-11-29 | Brazil | Ceara | 300134 | 9607 | 249068 | 41274 | -5.4984 | -39.3206 | 2020-11-30 05:26:13 | Ceara, Brazil | ||
3566303 | 3566303 | 2020-11-29 | Brazil | Distrito Federal | 228702 | 3925 | 217274 | 7503 | -15.7998 | -47.8645 | 2020-11-30 05:26:13 | Distrito Federal, Brazil | ||
3566304 | 3566304 | 2020-11-29 | Brazil | Espirito Santo | 188929 | 4252 | 172842 | 11835 | -19.1834 | -40.3089 | 2020-11-30 05:26:13 | Espirito Santo, Brazil | ||
3566305 | 3566305 | 2020-11-29 | Brazil | Goias | 278960 | 6349 | 266908 | 5672 | -15.827 | -49.8362 | 2020-11-30 05:26:13 | Goias, Brazil | ||
3566306 | 3566306 | 2020-11-29 | Brazil | Maranhao | 193066 | 4287 | 185338 | 3441 | -4.9609 | -45.2744 | 2020-11-30 05:26:13 | Maranhao, Brazil | ||
3566307 | 3566307 | 2020-11-29 | Brazil | Mato Grosso | 158417 | 4134 | 147862 | 5659 | -12.6819 | -56.9211 | 2020-11-30 05:26:13 | Mato Grosso, Brazil | ||
3566308 | 3566308 | 2020-11-29 | Brazil | Mato Grosso do Sul | 99061 | 1769 | 84985 | 11612 | -20.7722 | -54.7852 | 2020-11-30 05:26:13 | Mato Grosso do Sul, Brazil | ||
3566309 | 3566309 | 2020-11-29 | Brazil | Minas Gerais | 415247 | 10031 | 375890 | 29326 | -18.5122 | -44.555 | 2020-11-30 05:26:13 | Minas Gerais, Brazil | ||
3566310 | 3566310 | 2020-11-29 | Brazil | Para | 270548 | 6915 | 252073 | 11388 | -1.9981 | -54.9306 | 2020-11-30 05:26:13 | Para, Brazil | ||
3566311 | 3566311 | 2020-11-29 | Brazil | Paraiba | 145212 | 3292 | 114382 | 27538 | -7.24 | -36.782 | 2020-11-30 05:26:13 | Paraiba, Brazil | ||
3566312 | 3566312 | 2020-11-29 | Brazil | Parana | 277707 | 6122 | 195666 | 75919 | -25.2521 | -52.0215 | 2020-11-30 05:26:13 | Parana, Brazil | ||
3566313 | 3566313 | 2020-11-29 | Brazil | Pernambuco | 181841 | 9030 | 158850 | 13961 | -8.8137 | -36.9541 | 2020-11-30 05:26:13 | Pernambuco, Brazil | ||
3566314 | 3566314 | 2020-11-29 | Brazil | Piaui | 127014 | 2624 | 122620 | 1479 | -7.7183 | -42.7289 | 2020-11-30 05:26:13 | Piaui, Brazil | ||
3566315 | 3566315 | 2020-11-29 | Brazil | Rio Grande do Norte | 95556 | 2699 | 48736 | 43060 | -5.4026 | -36.9541 | 2020-11-30 05:26:13 | Rio Grande do Norte, Brazil | ||
3566316 | 3566316 | 2020-11-29 | Brazil | Rio Grande do Sul | 320778 | 6776 | 287980 | 26022 | -30.0346 | -51.2177 | 2020-11-30 05:26:13 | Rio Grande do Sul, Brazil | ||
3566317 | 3566317 | 2020-11-29 | Brazil | Rio de Janeiro | 353316 | 22561 | 318771 | 11984 | -22.9068 | -43.1729 | 2020-11-30 05:26:13 | Rio de Janeiro, Brazil | ||
3566318 | 3566318 | 2020-11-29 | Brazil | Rondonia | 80055 | 1555 | 69693 | 8807 | -11.5057 | -63.5806 | 2020-11-30 05:26:13 | Rondonia, Brazil | ||
3566319 | 3566319 | 2020-11-29 | Brazil | Roraima | 63322 | 727 | 58796 | 3711 | -2.7376 | -62.0751 | 2020-11-30 05:26:13 | Roraima, Brazil | ||
3566320 | 3566320 | 2020-11-29 | Brazil | Santa Catarina | 358997 | 3721 | 316430 | 38846 | -27.2423 | -50.2189 | 2020-11-30 05:26:13 | Santa Catarina, Brazil | ||
3566321 | 3566321 | 2020-11-29 | Brazil | Sao Paulo | 1240473 | 42076 | 1084660 | 113737 | -23.5505 | -46.6333 | 2020-11-30 05:26:13 | Sao Paulo, Brazil | ||
3566322 | 3566322 | 2020-11-29 | Brazil | Sergipe | 89998 | 2304 | 82927 | 4767 | -10.5741 | -37.3857 | 2020-11-30 05:26:13 | Sergipe, Brazil | ||
3566323 | 3566323 | 2020-11-29 | Brazil | Tocantins | 81632 | 1164 | 72986 | 7321 | -10.1753 | -48.2982 | 2020-11-30 05:26:13 | 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]);