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 = "2022-08-30 04:21:03" sorted by day descending
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Suggested facets: day (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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1680215 | 1680215 | 2022-08-29 | Brazil | Acre | 148913 | 2027 | 0 | -9.0238 | -70.812 | 2022-08-30 04:21:03 | Acre, Brazil | |||
1680216 | 1680216 | 2022-08-29 | Brazil | Alagoas | 320140 | 7115 | 0 | -9.5713 | -36.782 | 2022-08-30 04:21:03 | Alagoas, Brazil | |||
1680217 | 1680217 | 2022-08-29 | Brazil | Amapa | 178064 | 2158 | 0 | 0.902 | -52.003 | 2022-08-30 04:21:03 | Amapa, Brazil | |||
1680218 | 1680218 | 2022-08-29 | Brazil | Amazonas | 613390 | 14279 | 0 | -3.4168 | -65.8561 | 2022-08-30 04:21:03 | Amazonas, Brazil | |||
1680219 | 1680219 | 2022-08-29 | Brazil | Bahia | 1684805 | 30631 | 0 | -12.5797 | -41.7007 | 2022-08-30 04:21:03 | Bahia, Brazil | |||
1680220 | 1680220 | 2022-08-29 | Brazil | Ceara | 1380066 | 27552 | 0 | -5.4984 | -39.3206 | 2022-08-30 04:21:03 | Ceara, Brazil | |||
1680221 | 1680221 | 2022-08-29 | Brazil | Distrito Federal | 837023 | 11825 | 0 | -15.7998 | -47.8645 | 2022-08-30 04:21:03 | Distrito Federal, Brazil | |||
1680222 | 1680222 | 2022-08-29 | Brazil | Espirito Santo | 1214115 | 14787 | 0 | -19.1834 | -40.3089 | 2022-08-30 04:21:03 | Espirito Santo, Brazil | |||
1680223 | 1680223 | 2022-08-29 | Brazil | Goias | 1674555 | 27434 | 0 | -15.827 | -49.8362 | 2022-08-30 04:21:03 | Goias, Brazil | |||
1680224 | 1680224 | 2022-08-29 | Brazil | Maranhao | 468223 | 10985 | 0 | -4.9609 | -45.2744 | 2022-08-30 04:21:03 | Maranhao, Brazil | |||
1680225 | 1680225 | 2022-08-29 | Brazil | Mato Grosso | 825620 | 14926 | 0 | -12.6819 | -56.9211 | 2022-08-30 04:21:03 | Mato Grosso, Brazil | |||
1680226 | 1680226 | 2022-08-29 | Brazil | Mato Grosso do Sul | 576936 | 10786 | 0 | -20.7722 | -54.7852 | 2022-08-30 04:21:03 | Mato Grosso do Sul, Brazil | |||
1680227 | 1680227 | 2022-08-29 | Brazil | Minas Gerais | 3869353 | 63516 | 0 | -18.5122 | -44.555 | 2022-08-30 04:21:03 | Minas Gerais, Brazil | |||
1680228 | 1680228 | 2022-08-29 | Brazil | Para | 830958 | 18721 | 0 | -1.9981 | -54.9306 | 2022-08-30 04:21:03 | Para, Brazil | |||
1680229 | 1680229 | 2022-08-29 | Brazil | Paraiba | 650851 | 10398 | 0 | -7.24 | -36.782 | 2022-08-30 04:21:03 | Paraiba, Brazil | |||
1680230 | 1680230 | 2022-08-29 | Brazil | Parana | 2732536 | 45092 | 0 | -25.2521 | -52.0215 | 2022-08-30 04:21:03 | Parana, Brazil | |||
1680231 | 1680231 | 2022-08-29 | Brazil | Pernambuco | 1047063 | 22198 | 0 | -8.8137 | -36.9541 | 2022-08-30 04:21:03 | Pernambuco, Brazil | |||
1680232 | 1680232 | 2022-08-29 | Brazil | Piaui | 396954 | 7933 | 0 | -7.7183 | -42.7289 | 2022-08-30 04:21:03 | Piaui, Brazil | |||
1680233 | 1680233 | 2022-08-29 | Brazil | Rio Grande do Norte | 551405 | 8442 | 0 | -5.4026 | -36.9541 | 2022-08-30 04:21:03 | Rio Grande do Norte, Brazil | |||
1680234 | 1680234 | 2022-08-29 | Brazil | Rio Grande do Sul | 2707876 | 40835 | 0 | -30.0346 | -51.2177 | 2022-08-30 04:21:03 | Rio Grande do Sul, Brazil | |||
1680235 | 1680235 | 2022-08-29 | Brazil | Rio de Janeiro | 2489701 | 75414 | 0 | -22.9068 | -43.1729 | 2022-08-30 04:21:03 | Rio de Janeiro, Brazil | |||
1680236 | 1680236 | 2022-08-29 | Brazil | Rondonia | 454432 | 7348 | 0 | -11.5057 | -63.5806 | 2022-08-30 04:21:03 | Rondonia, Brazil | |||
1680237 | 1680237 | 2022-08-29 | Brazil | Roraima | 174569 | 2167 | 0 | -2.7376 | -62.0751 | 2022-08-30 04:21:03 | Roraima, Brazil | |||
1680238 | 1680238 | 2022-08-29 | Brazil | Santa Catarina | 1861908 | 22348 | 0 | -27.2423 | -50.2189 | 2022-08-30 04:21:03 | Santa Catarina, Brazil | |||
1680239 | 1680239 | 2022-08-29 | Brazil | Sao Paulo | 6021735 | 174079 | 0 | -23.5505 | -46.6333 | 2022-08-30 04:21:03 | Sao Paulo, Brazil | |||
1680240 | 1680240 | 2022-08-29 | Brazil | Sergipe | 342627 | 6430 | 0 | -10.5741 | -37.3857 | 2022-08-30 04:21:03 | Sergipe, Brazil | |||
1680241 | 1680241 | 2022-08-29 | Brazil | Tocantins | 343387 | 4196 | 0 | -10.1753 | -48.2982 | 2022-08-30 04:21:03 | 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]);