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 = "2022-09-28 04:23:01" 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3994348 | 3994348 | 2022-09-27 | Brazil | Acre | 149668 | 2029 | 0 | -9.0238 | -70.812 | 2022-09-28 04:23:01 | Acre, Brazil | |||
3994349 | 3994349 | 2022-09-27 | Brazil | Alagoas | 321007 | 7122 | 0 | -9.5713 | -36.782 | 2022-09-28 04:23:01 | Alagoas, Brazil | |||
3994350 | 3994350 | 2022-09-27 | Brazil | Amapa | 178265 | 2163 | 0 | 0.902 | -52.003 | 2022-09-28 04:23:01 | Amapa, Brazil | |||
3994351 | 3994351 | 2022-09-27 | Brazil | Amazonas | 616169 | 14322 | 0 | -3.4168 | -65.8561 | 2022-09-28 04:23:01 | Amazonas, Brazil | |||
3994352 | 3994352 | 2022-09-27 | Brazil | Bahia | 1695921 | 30697 | 0 | -12.5797 | -41.7007 | 2022-09-28 04:23:01 | Bahia, Brazil | |||
3994353 | 3994353 | 2022-09-27 | Brazil | Ceara | 1383925 | 27650 | 0 | -5.4984 | -39.3206 | 2022-09-28 04:23:01 | Ceara, Brazil | |||
3994354 | 3994354 | 2022-09-27 | Brazil | Distrito Federal | 838770 | 11829 | 0 | -15.7998 | -47.8645 | 2022-09-28 04:23:01 | Distrito Federal, Brazil | |||
3994355 | 3994355 | 2022-09-27 | Brazil | Espirito Santo | 1215199 | 14814 | 0 | -19.1834 | -40.3089 | 2022-09-28 04:23:01 | Espirito Santo, Brazil | |||
3994356 | 3994356 | 2022-09-27 | Brazil | Goias | 1700306 | 27526 | 0 | -15.827 | -49.8362 | 2022-09-28 04:23:01 | Goias, Brazil | |||
3994357 | 3994357 | 2022-09-27 | Brazil | Maranhao | 471681 | 10993 | 0 | -4.9609 | -45.2744 | 2022-09-28 04:23:01 | Maranhao, Brazil | |||
3994358 | 3994358 | 2022-09-27 | Brazil | Mato Grosso | 830204 | 14947 | 0 | -12.6819 | -56.9211 | 2022-09-28 04:23:01 | Mato Grosso, Brazil | |||
3994359 | 3994359 | 2022-09-27 | Brazil | Mato Grosso do Sul | 580364 | 10832 | 0 | -20.7722 | -54.7852 | 2022-09-28 04:23:01 | Mato Grosso do Sul, Brazil | |||
3994360 | 3994360 | 2022-09-27 | Brazil | Minas Gerais | 3879372 | 63775 | 0 | -18.5122 | -44.555 | 2022-09-28 04:23:01 | Minas Gerais, Brazil | |||
3994361 | 3994361 | 2022-09-27 | Brazil | Para | 839160 | 18842 | 0 | -1.9981 | -54.9306 | 2022-09-28 04:23:01 | Para, Brazil | |||
3994362 | 3994362 | 2022-09-27 | Brazil | Paraiba | 652835 | 10403 | 0 | -7.24 | -36.782 | 2022-09-28 04:23:01 | Paraiba, Brazil | |||
3994363 | 3994363 | 2022-09-27 | Brazil | Parana | 2747008 | 45311 | 0 | -25.2521 | -52.0215 | 2022-09-28 04:23:01 | Parana, Brazil | |||
3994364 | 3994364 | 2022-09-27 | Brazil | Pernambuco | 1057361 | 22280 | 0 | -8.8137 | -36.9541 | 2022-09-28 04:23:01 | Pernambuco, Brazil | |||
3994365 | 3994365 | 2022-09-27 | Brazil | Piaui | 401799 | 7952 | 0 | -7.7183 | -42.7289 | 2022-09-28 04:23:01 | Piaui, Brazil | |||
3994366 | 3994366 | 2022-09-27 | Brazil | Rio Grande do Norte | 556612 | 8455 | 0 | -5.4026 | -36.9541 | 2022-09-28 04:23:01 | Rio Grande do Norte, Brazil | |||
3994367 | 3994367 | 2022-09-27 | Brazil | Rio Grande do Sul | 2731688 | 41047 | 0 | -30.0346 | -51.2177 | 2022-09-28 04:23:01 | Rio Grande do Sul, Brazil | |||
3994368 | 3994368 | 2022-09-27 | Brazil | Rio de Janeiro | 2512486 | 75680 | 0 | -22.9068 | -43.1729 | 2022-09-28 04:23:01 | Rio de Janeiro, Brazil | |||
3994369 | 3994369 | 2022-09-27 | Brazil | Rondonia | 456375 | 7355 | 0 | -11.5057 | -63.5806 | 2022-09-28 04:23:01 | Rondonia, Brazil | |||
3994370 | 3994370 | 2022-09-27 | Brazil | Roraima | 175011 | 2173 | 0 | -2.7376 | -62.0751 | 2022-09-28 04:23:01 | Roraima, Brazil | |||
3994371 | 3994371 | 2022-09-27 | Brazil | Santa Catarina | 1874981 | 22395 | 0 | -27.2423 | -50.2189 | 2022-09-28 04:23:01 | Santa Catarina, Brazil | |||
3994372 | 3994372 | 2022-09-27 | Brazil | Sao Paulo | 6084812 | 174604 | 0 | -23.5505 | -46.6333 | 2022-09-28 04:23:01 | Sao Paulo, Brazil | |||
3994373 | 3994373 | 2022-09-27 | Brazil | Sergipe | 342881 | 6435 | 0 | -10.5741 | -37.3857 | 2022-09-28 04:23:01 | Sergipe, Brazil | |||
3994374 | 3994374 | 2022-09-27 | Brazil | Tocantins | 344428 | 4204 | 0 | -10.1753 | -48.2982 | 2022-09-28 04:23:01 | 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]);