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 = "2022-01-20 04:21:07" sorted by day descending
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Suggested facets: longitude, day (date), last_update (date)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3226164 | 3226164 | 2022-01-19 | Brazil | Acre | 91471 | 1854 | 0 | -9.0238 | -70.812 | 2022-01-20 04:21:07 | Acre, Brazil | |||
3226165 | 3226165 | 2022-01-19 | Brazil | Alagoas | 247013 | 6399 | 0 | -9.5713 | -36.782 | 2022-01-20 04:21:07 | Alagoas, Brazil | |||
3226166 | 3226166 | 2022-01-19 | Brazil | Amapa | 130947 | 2033 | 0 | 0.902 | -52.003 | 2022-01-20 04:21:07 | Amapa, Brazil | |||
3226167 | 3226167 | 2022-01-19 | Brazil | Amazonas | 464913 | 13863 | 0 | -3.4168 | -65.8561 | 2022-01-20 04:21:07 | Amazonas, Brazil | |||
3226168 | 3226168 | 2022-01-19 | Brazil | Bahia | 1299156 | 27711 | 0 | -12.5797 | -41.7007 | 2022-01-20 04:21:07 | Bahia, Brazil | |||
3226169 | 3226169 | 2022-01-19 | Brazil | Ceara | 982377 | 24942 | 0 | -5.4984 | -39.3206 | 2022-01-20 04:21:07 | Ceara, Brazil | |||
3226170 | 3226170 | 2022-01-19 | Brazil | Distrito Federal | 553988 | 11135 | 0 | -15.7998 | -47.8645 | 2022-01-20 04:21:07 | Distrito Federal, Brazil | |||
3226171 | 3226171 | 2022-01-19 | Brazil | Espirito Santo | 690636 | 13395 | 0 | -19.1834 | -40.3089 | 2022-01-20 04:21:07 | Espirito Santo, Brazil | |||
3226172 | 3226172 | 2022-01-19 | Brazil | Goias | 982807 | 24792 | 0 | -15.827 | -49.8362 | 2022-01-20 04:21:07 | Goias, Brazil | |||
3226173 | 3226173 | 2022-01-19 | Brazil | Maranhao | 375725 | 10431 | 0 | -4.9609 | -45.2744 | 2022-01-20 04:21:07 | Maranhao, Brazil | |||
3226174 | 3226174 | 2022-01-19 | Brazil | Mato Grosso | 585967 | 14158 | 0 | -12.6819 | -56.9211 | 2022-01-20 04:21:07 | Mato Grosso, Brazil | |||
3226175 | 3226175 | 2022-01-19 | Brazil | Mato Grosso do Sul | 395316 | 9768 | 0 | -20.7722 | -54.7852 | 2022-01-20 04:21:07 | Mato Grosso do Sul, Brazil | |||
3226176 | 3226176 | 2022-01-19 | Brazil | Minas Gerais | 2410724 | 56866 | 0 | -18.5122 | -44.555 | 2022-01-20 04:21:07 | Minas Gerais, Brazil | |||
3226177 | 3226177 | 2022-01-19 | Brazil | Para | 635898 | 17267 | 0 | -1.9981 | -54.9306 | 2022-01-20 04:21:07 | Para, Brazil | |||
3226178 | 3226178 | 2022-01-19 | Brazil | Paraiba | 470906 | 9625 | 0 | -7.24 | -36.782 | 2022-01-20 04:21:07 | Paraiba, Brazil | |||
3226179 | 3226179 | 2022-01-19 | Brazil | Parana | 1742893 | 40951 | 0 | -25.2521 | -52.0215 | 2022-01-20 04:21:07 | Parana, Brazil | |||
3226180 | 3226180 | 2022-01-19 | Brazil | Pernambuco | 659358 | 20566 | 0 | -8.8137 | -36.9541 | 2022-01-20 04:21:07 | Pernambuco, Brazil | |||
3226181 | 3226181 | 2022-01-19 | Brazil | Piaui | 337286 | 7333 | 0 | -7.7183 | -42.7289 | 2022-01-20 04:21:07 | Piaui, Brazil | |||
3226182 | 3226182 | 2022-01-19 | Brazil | Rio Grande do Norte | 397355 | 7618 | 0 | -5.4026 | -36.9541 | 2022-01-20 04:21:07 | Rio Grande do Norte, Brazil | |||
3226183 | 3226183 | 2022-01-19 | Brazil | Rio Grande do Sul | 1633330 | 36564 | 0 | -30.0346 | -51.2177 | 2022-01-20 04:21:07 | Rio Grande do Sul, Brazil | |||
3226184 | 3226184 | 2022-01-19 | Brazil | Rio de Janeiro | 1528551 | 69623 | 0 | -22.9068 | -43.1729 | 2022-01-20 04:21:07 | Rio de Janeiro, Brazil | |||
3226185 | 3226185 | 2022-01-19 | Brazil | Rondonia | 294764 | 6798 | 0 | -11.5057 | -63.5806 | 2022-01-20 04:21:07 | Rondonia, Brazil | |||
3226186 | 3226186 | 2022-01-19 | Brazil | Roraima | 134053 | 2082 | 0 | -2.7376 | -62.0751 | 2022-01-20 04:21:07 | Roraima, Brazil | |||
3226187 | 3226187 | 2022-01-19 | Brazil | Santa Catarina | 1327487 | 20308 | 0 | -27.2423 | -50.2189 | 2022-01-20 04:21:07 | Santa Catarina, Brazil | |||
3226188 | 3226188 | 2022-01-19 | Brazil | Sao Paulo | 4523521 | 155997 | 0 | -23.5505 | -46.6333 | 2022-01-20 04:21:07 | Sao Paulo, Brazil | |||
3226189 | 3226189 | 2022-01-19 | Brazil | Sergipe | 281053 | 6068 | 0 | -10.5741 | -37.3857 | 2022-01-20 04:21:07 | Sergipe, Brazil | |||
3226190 | 3226190 | 2022-01-19 | Brazil | Tocantins | 247897 | 3978 | 0 | -10.1753 | -48.2982 | 2022-01-20 04:21:07 | 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]);