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 = "2022-10-29 04:21:13" 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1366190 | 1366190 | 2022-10-28 | Brazil | Acre | 149756 | 2029 | 0 | -9.0238 | -70.812 | 2022-10-29 04:21:13 | Acre, Brazil | |||
1366191 | 1366191 | 2022-10-28 | Brazil | Alagoas | 321498 | 7128 | 0 | -9.5713 | -36.782 | 2022-10-29 04:21:13 | Alagoas, Brazil | |||
1366192 | 1366192 | 2022-10-28 | Brazil | Amapa | 178377 | 2164 | 0 | 0.902 | -52.003 | 2022-10-29 04:21:13 | Amapa, Brazil | |||
1366193 | 1366193 | 2022-10-28 | Brazil | Amazonas | 618372 | 14356 | 0 | -3.4168 | -65.8561 | 2022-10-29 04:21:13 | Amazonas, Brazil | |||
1366194 | 1366194 | 2022-10-28 | Brazil | Bahia | 1703178 | 30785 | 0 | -12.5797 | -41.7007 | 2022-10-29 04:21:13 | Bahia, Brazil | |||
1366195 | 1366195 | 2022-10-28 | Brazil | Ceara | 1386262 | 27904 | 0 | -5.4984 | -39.3206 | 2022-10-29 04:21:13 | Ceara, Brazil | |||
1366196 | 1366196 | 2022-10-28 | Brazil | Distrito Federal | 842639 | 11831 | 0 | -15.7998 | -47.8645 | 2022-10-29 04:21:13 | Distrito Federal, Brazil | |||
1366197 | 1366197 | 2022-10-28 | Brazil | Espirito Santo | 1217030 | 14827 | 0 | -19.1834 | -40.3089 | 2022-10-29 04:21:13 | Espirito Santo, Brazil | |||
1366198 | 1366198 | 2022-10-28 | Brazil | Goias | 1723116 | 27578 | 0 | -15.827 | -49.8362 | 2022-10-29 04:21:13 | Goias, Brazil | |||
1366199 | 1366199 | 2022-10-28 | Brazil | Maranhao | 474667 | 10995 | 0 | -4.9609 | -45.2744 | 2022-10-29 04:21:13 | Maranhao, Brazil | |||
1366200 | 1366200 | 2022-10-28 | Brazil | Mato Grosso | 832189 | 14955 | 0 | -12.6819 | -56.9211 | 2022-10-29 04:21:13 | Mato Grosso, Brazil | |||
1366201 | 1366201 | 2022-10-28 | Brazil | Mato Grosso do Sul | 582160 | 10843 | 0 | -20.7722 | -54.7852 | 2022-10-29 04:21:13 | Mato Grosso do Sul, Brazil | |||
1366202 | 1366202 | 2022-10-28 | Brazil | Minas Gerais | 3883357 | 63876 | 0 | -18.5122 | -44.555 | 2022-10-29 04:21:13 | Minas Gerais, Brazil | |||
1366203 | 1366203 | 2022-10-28 | Brazil | Para | 844630 | 18883 | 0 | -1.9981 | -54.9306 | 2022-10-29 04:21:13 | Para, Brazil | |||
1366204 | 1366204 | 2022-10-28 | Brazil | Paraiba | 654227 | 10406 | 0 | -7.24 | -36.782 | 2022-10-29 04:21:13 | Paraiba, Brazil | |||
1366205 | 1366205 | 2022-10-28 | Brazil | Parana | 2752889 | 45427 | 0 | -25.2521 | -52.0215 | 2022-10-29 04:21:13 | Parana, Brazil | |||
1366206 | 1366206 | 2022-10-28 | Brazil | Pernambuco | 1063628 | 22399 | 0 | -8.8137 | -36.9541 | 2022-10-29 04:21:13 | Pernambuco, Brazil | |||
1366207 | 1366207 | 2022-10-28 | Brazil | Piaui | 404480 | 7959 | 0 | -7.7183 | -42.7289 | 2022-10-29 04:21:13 | Piaui, Brazil | |||
1366208 | 1366208 | 2022-10-28 | Brazil | Rio Grande do Norte | 557454 | 8482 | 0 | -5.4026 | -36.9541 | 2022-10-29 04:21:13 | Rio Grande do Norte, Brazil | |||
1366209 | 1366209 | 2022-10-28 | Brazil | Rio Grande do Sul | 2745859 | 41190 | 0 | -30.0346 | -51.2177 | 2022-10-29 04:21:13 | Rio Grande do Sul, Brazil | |||
1366210 | 1366210 | 2022-10-28 | Brazil | Rio de Janeiro | 2534326 | 75850 | 0 | -22.9068 | -43.1729 | 2022-10-29 04:21:13 | Rio de Janeiro, Brazil | |||
1366211 | 1366211 | 2022-10-28 | Brazil | Rondonia | 457626 | 7361 | 0 | -11.5057 | -63.5806 | 2022-10-29 04:21:13 | Rondonia, Brazil | |||
1366212 | 1366212 | 2022-10-28 | Brazil | Roraima | 175437 | 2175 | 0 | -2.7376 | -62.0751 | 2022-10-29 04:21:13 | Roraima, Brazil | |||
1366213 | 1366213 | 2022-10-28 | Brazil | Santa Catarina | 1883899 | 22409 | 0 | -27.2423 | -50.2189 | 2022-10-29 04:21:13 | Santa Catarina, Brazil | |||
1366214 | 1366214 | 2022-10-28 | Brazil | Sao Paulo | 6140622 | 175504 | 0 | -23.5505 | -46.6333 | 2022-10-29 04:21:13 | Sao Paulo, Brazil | |||
1366215 | 1366215 | 2022-10-28 | Brazil | Sergipe | 342912 | 6441 | 0 | -10.5741 | -37.3857 | 2022-10-29 04:21:13 | Sergipe, Brazil | |||
1366216 | 1366216 | 2022-10-28 | Brazil | Tocantins | 344668 | 4205 | 0 | -10.1753 | -48.2982 | 2022-10-29 04:21:13 | 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]);