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 2022-07-13 sorted by day descending
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Suggested facets: longitude
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3109198 | 3109198 | 2022-07-13 | Brazil | Acre | 132179 | 2008 | 0 | -9.0238 | -70.812 | 2022-07-14 04:20:57 | Acre, Brazil | |||
3109199 | 3109199 | 2022-07-13 | Brazil | Alagoas | 313447 | 7000 | 0 | -9.5713 | -36.782 | 2022-07-14 04:20:57 | Alagoas, Brazil | |||
3109200 | 3109200 | 2022-07-13 | Brazil | Amapa | 167600 | 2148 | 0 | 0.902 | -52.003 | 2022-07-14 04:20:57 | Amapa, Brazil | |||
3109201 | 3109201 | 2022-07-13 | Brazil | Amazonas | 592906 | 14191 | 0 | -3.4168 | -65.8561 | 2022-07-14 04:20:57 | Amazonas, Brazil | |||
3109202 | 3109202 | 2022-07-13 | Brazil | Bahia | 1621424 | 30111 | 0 | -12.5797 | -41.7007 | 2022-07-14 04:20:57 | Bahia, Brazil | |||
3109203 | 3109203 | 2022-07-13 | Brazil | Ceara | 1283560 | 27328 | 0 | -5.4984 | -39.3206 | 2022-07-14 04:20:57 | Ceara, Brazil | |||
3109204 | 3109204 | 2022-07-13 | Brazil | Distrito Federal | 821763 | 11799 | 0 | -15.7998 | -47.8645 | 2022-07-14 04:20:57 | Distrito Federal, Brazil | |||
3109205 | 3109205 | 2022-07-13 | Brazil | Espirito Santo | 1168596 | 14579 | 0 | -19.1834 | -40.3089 | 2022-07-14 04:20:57 | Espirito Santo, Brazil | |||
3109206 | 3109206 | 2022-07-13 | Brazil | Goias | 1565865 | 27031 | 0 | -15.827 | -49.8362 | 2022-07-14 04:20:57 | Goias, Brazil | |||
3109207 | 3109207 | 2022-07-13 | Brazil | Maranhao | 449460 | 10909 | 0 | -4.9609 | -45.2744 | 2022-07-14 04:20:57 | Maranhao, Brazil | |||
3109208 | 3109208 | 2022-07-13 | Brazil | Mato Grosso | 785534 | 14780 | 0 | -12.6819 | -56.9211 | 2022-07-14 04:20:57 | Mato Grosso, Brazil | |||
3109209 | 3109209 | 2022-07-13 | Brazil | Mato Grosso do Sul | 556644 | 10663 | 0 | -20.7722 | -54.7852 | 2022-07-14 04:20:57 | Mato Grosso do Sul, Brazil | |||
3109210 | 3109210 | 2022-07-13 | Brazil | Minas Gerais | 3725061 | 62464 | 0 | -18.5122 | -44.555 | 2022-07-14 04:20:57 | Minas Gerais, Brazil | |||
3109211 | 3109211 | 2022-07-13 | Brazil | Para | 790267 | 18486 | 0 | -1.9981 | -54.9306 | 2022-07-14 04:20:57 | Para, Brazil | |||
3109212 | 3109212 | 2022-07-13 | Brazil | Paraiba | 633330 | 10297 | 0 | -7.24 | -36.782 | 2022-07-14 04:20:57 | Paraiba, Brazil | |||
3109213 | 3109213 | 2022-07-13 | Brazil | Parana | 2656983 | 44129 | 0 | -25.2521 | -52.0215 | 2022-07-14 04:20:57 | Parana, Brazil | |||
3109214 | 3109214 | 2022-07-13 | Brazil | Pernambuco | 1005264 | 21940 | 0 | -8.8137 | -36.9541 | 2022-07-14 04:20:57 | Pernambuco, Brazil | |||
3109215 | 3109215 | 2022-07-13 | Brazil | Piaui | 378146 | 7806 | 0 | -7.7183 | -42.7289 | 2022-07-14 04:20:57 | Piaui, Brazil | |||
3109216 | 3109216 | 2022-07-13 | Brazil | Rio Grande do Norte | 538007 | 8299 | 0 | -5.4026 | -36.9541 | 2022-07-14 04:20:57 | Rio Grande do Norte, Brazil | |||
3109217 | 3109217 | 2022-07-13 | Brazil | Rio Grande do Sul | 2589893 | 40235 | 0 | -30.0346 | -51.2177 | 2022-07-14 04:20:57 | Rio Grande do Sul, Brazil | |||
3109218 | 3109218 | 2022-07-13 | Brazil | Rio de Janeiro | 2403404 | 74408 | 0 | -22.9068 | -43.1729 | 2022-07-14 04:20:57 | Rio de Janeiro, Brazil | |||
3109219 | 3109219 | 2022-07-13 | Brazil | Rondonia | 430449 | 7266 | 0 | -11.5057 | -63.5806 | 2022-07-14 04:20:57 | Rondonia, Brazil | |||
3109220 | 3109220 | 2022-07-13 | Brazil | Roraima | 167972 | 2154 | 0 | -2.7376 | -62.0751 | 2022-07-14 04:20:57 | Roraima, Brazil | |||
3109221 | 3109221 | 2022-07-13 | Brazil | Santa Catarina | 1814679 | 22127 | 0 | -27.2423 | -50.2189 | 2022-07-14 04:20:57 | Santa Catarina, Brazil | |||
3109222 | 3109222 | 2022-07-13 | Brazil | Sao Paulo | 5817223 | 171777 | 0 | -23.5505 | -46.6333 | 2022-07-14 04:20:57 | Sao Paulo, Brazil | |||
3109223 | 3109223 | 2022-07-13 | Brazil | Sergipe | 335764 | 6376 | 0 | -10.5741 | -37.3857 | 2022-07-14 04:20:57 | Sergipe, Brazil | |||
3109224 | 3109224 | 2022-07-13 | Brazil | Tocantins | 331359 | 4171 | 0 | -10.1753 | -48.2982 | 2022-07-14 04:20:57 | 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]);