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 = "2020-07-29 04:35:11" 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3184931 | 3184931 | 2020-07-28 | Brazil | Acre | 19132 | 500 | 10681 | 7951 | -9.0238 | -70.812 | 2020-07-29 04:35:11 | Acre, Brazil | ||
3184936 | 3184936 | 2020-07-28 | Brazil | Alagoas | 57142 | 1527 | 49440 | 6175 | -9.5713 | -36.782 | 2020-07-29 04:35:11 | Alagoas, Brazil | ||
3184940 | 3184940 | 2020-07-28 | Brazil | Amapa | 35697 | 558 | 23927 | 11212 | 0.902 | -52.003 | 2020-07-29 04:35:11 | Amapa, Brazil | ||
3184941 | 3184941 | 2020-07-28 | Brazil | Amazonas | 98118 | 3236 | 81631 | 13251 | -3.4168 | -65.8561 | 2020-07-29 04:35:11 | Amazonas, Brazil | ||
3184973 | 3184973 | 2020-07-28 | Brazil | Bahia | 153313 | 3270 | 136511 | 13532 | -12.5797 | -41.7007 | 2020-07-29 04:35:11 | Bahia, Brazil | ||
3185014 | 3185014 | 2020-07-28 | Brazil | Ceara | 165703 | 7616 | 138765 | 19172 | -5.4984 | -39.3206 | 2020-07-29 04:35:11 | Ceara, Brazil | ||
3185047 | 3185047 | 2020-07-28 | Brazil | Distrito Federal | 100726 | 1391 | 83345 | 15990 | -15.7998 | -47.8645 | 2020-07-29 04:35:11 | Distrito Federal, Brazil | ||
3185055 | 3185055 | 2020-07-28 | Brazil | Espirito Santo | 79468 | 2463 | 62870 | 14131 | -19.1834 | -40.3089 | 2020-07-29 04:35:11 | Espirito Santo, Brazil | ||
3185076 | 3185076 | 2020-07-28 | Brazil | Goias | 61613 | 1501 | 53855 | 5309 | -15.827 | -49.8362 | 2020-07-29 04:35:11 | Goias, Brazil | ||
3185196 | 3185196 | 2020-07-28 | Brazil | Maranhao | 115988 | 2959 | 102872 | 10157 | -4.9609 | -45.2744 | 2020-07-29 04:35:11 | Maranhao, Brazil | ||
3185200 | 3185200 | 2020-07-28 | Brazil | Mato Grosso | 47045 | 1700 | 26185 | 18691 | -12.6819 | -56.9211 | 2020-07-29 04:35:11 | Mato Grosso, Brazil | ||
3185201 | 3185201 | 2020-07-28 | Brazil | Mato Grosso do Sul | 23411 | 342 | 15827 | 6288 | -20.7722 | -54.7852 | 2020-07-29 04:35:11 | Mato Grosso do Sul, Brazil | ||
3185212 | 3185212 | 2020-07-28 | Brazil | Minas Gerais | 116645 | 2551 | 86794 | 27300 | -18.5122 | -44.555 | 2020-07-29 04:35:11 | Minas Gerais, Brazil | ||
3185276 | 3185276 | 2020-07-28 | Brazil | Para | 151849 | 5716 | 136109 | 8360 | -1.9981 | -54.9306 | 2020-07-29 04:35:11 | Para, Brazil | ||
3185277 | 3185277 | 2020-07-28 | Brazil | Paraiba | 78175 | 1745 | 30899 | 45531 | -7.24 | -36.782 | 2020-07-29 04:35:11 | Paraiba, Brazil | ||
3185278 | 3185278 | 2020-07-28 | Brazil | Parana | 69393 | 1743 | 31841 | 35808 | -25.2521 | -52.0215 | 2020-07-29 04:35:11 | Parana, Brazil | ||
3185282 | 3185282 | 2020-07-28 | Brazil | Pernambuco | 89678 | 6421 | 65688 | 17569 | -8.8137 | -36.9541 | 2020-07-29 04:35:11 | Pernambuco, Brazil | ||
3185283 | 3185283 | 2020-07-28 | Brazil | Piaui | 48962 | 1292 | 45481 | 792 | -7.7183 | -42.7289 | 2020-07-29 04:35:11 | Piaui, Brazil | ||
3185308 | 3185308 | 2020-07-28 | Brazil | Rio Grande do Norte | 49194 | 1741 | 22901 | 23759 | -5.4026 | -36.9541 | 2020-07-29 04:35:11 | Rio Grande do Norte, Brazil | ||
3185309 | 3185309 | 2020-07-28 | Brazil | Rio Grande do Sul | 62347 | 1680 | 53324 | 7343 | -30.0346 | -51.2177 | 2020-07-29 04:35:11 | Rio Grande do Sul, Brazil | ||
3185310 | 3185310 | 2020-07-28 | Brazil | Rio de Janeiro | 159639 | 13033 | 136941 | 9665 | -22.9068 | -43.1729 | 2020-07-29 04:35:11 | Rio de Janeiro, Brazil | ||
3185313 | 3185313 | 2020-07-28 | Brazil | Rondonia | 36849 | 840 | 25026 | 10983 | -11.5057 | -63.5806 | 2020-07-29 04:35:11 | Rondonia, Brazil | ||
3185314 | 3185314 | 2020-07-28 | Brazil | Roraima | 30996 | 493 | 8824 | 21013 | -2.7376 | -62.0751 | 2020-07-29 04:35:11 | Roraima, Brazil | ||
3185332 | 3185332 | 2020-07-28 | Brazil | Santa Catarina | 73771 | 960 | 59618 | 13193 | -27.2423 | -50.2189 | 2020-07-29 04:35:11 | Santa Catarina, Brazil | ||
3185334 | 3185334 | 2020-07-28 | Brazil | Sao Paulo | 500301 | 22059 | 337434 | 128544 | -23.5505 | -46.6333 | 2020-07-29 04:35:11 | Sao Paulo, Brazil | ||
3185340 | 3185340 | 2020-07-28 | Brazil | Sergipe | 55009 | 1359 | 27819 | 25831 | -10.5741 | -37.3857 | 2020-07-29 04:35:11 | Sergipe, Brazil | ||
3185380 | 3185380 | 2020-07-28 | Brazil | Tocantins | 23517 | 364 | 14141 | 8353 | -10.1753 | -48.2982 | 2020-07-29 04:35:11 | 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]);