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 2022-12-16 sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3323969 | 3323969 | 2022-12-16 | Brazil | Acre | 157119 | 2035 | 0 | -9.0238 | -70.812 | 2022-12-17 04:21:04 | Acre, Brazil | |||
3323970 | 3323970 | 2022-12-16 | Brazil | Alagoas | 331581 | 7173 | 0 | -9.5713 | -36.782 | 2022-12-17 04:21:04 | Alagoas, Brazil | |||
3323971 | 3323971 | 2022-12-16 | Brazil | Amapa | 182244 | 2165 | 0 | 0.902 | -52.003 | 2022-12-17 04:21:04 | Amapa, Brazil | |||
3323972 | 3323972 | 2022-12-16 | Brazil | Amazonas | 624503 | 14410 | 0 | -3.4168 | -65.8561 | 2022-12-17 04:21:04 | Amazonas, Brazil | |||
3323973 | 3323973 | 2022-12-16 | Brazil | Bahia | 1748824 | 31050 | 0 | -12.5797 | -41.7007 | 2022-12-17 04:21:04 | Bahia, Brazil | |||
3323974 | 3323974 | 2022-12-16 | Brazil | Ceara | 1427669 | 28046 | 0 | -5.4984 | -39.3206 | 2022-12-17 04:21:04 | Ceara, Brazil | |||
3323975 | 3323975 | 2022-12-16 | Brazil | Distrito Federal | 876292 | 11837 | 0 | -15.7998 | -47.8645 | 2022-12-17 04:21:04 | Distrito Federal, Brazil | |||
3323976 | 3323976 | 2022-12-16 | Brazil | Espirito Santo | 1292883 | 14901 | 0 | -19.1834 | -40.3089 | 2022-12-17 04:21:04 | Espirito Santo, Brazil | |||
3323977 | 3323977 | 2022-12-16 | Brazil | Goias | 1789113 | 27674 | 0 | -15.827 | -49.8362 | 2022-12-17 04:21:04 | Goias, Brazil | |||
3323978 | 3323978 | 2022-12-16 | Brazil | Maranhao | 486185 | 11023 | 0 | -4.9609 | -45.2744 | 2022-12-17 04:21:04 | Maranhao, Brazil | |||
3323979 | 3323979 | 2022-12-16 | Brazil | Mato Grosso | 846069 | 14990 | 0 | -12.6819 | -56.9211 | 2022-12-17 04:21:04 | Mato Grosso, Brazil | |||
3323980 | 3323980 | 2022-12-16 | Brazil | Mato Grosso do Sul | 587813 | 10870 | 0 | -20.7722 | -54.7852 | 2022-12-17 04:21:04 | Mato Grosso do Sul, Brazil | |||
3323981 | 3323981 | 2022-12-16 | Brazil | Minas Gerais | 4003264 | 64203 | 0 | -18.5122 | -44.555 | 2022-12-17 04:21:04 | Minas Gerais, Brazil | |||
3323982 | 3323982 | 2022-12-16 | Brazil | Para | 858456 | 18939 | 0 | -1.9981 | -54.9306 | 2022-12-17 04:21:04 | Para, Brazil | |||
3323983 | 3323983 | 2022-12-16 | Brazil | Paraiba | 689835 | 10490 | 0 | -7.24 | -36.782 | 2022-12-17 04:21:04 | Paraiba, Brazil | |||
3323984 | 3323984 | 2022-12-16 | Brazil | Parana | 2823196 | 45605 | 0 | -25.2521 | -52.0215 | 2022-12-17 04:21:04 | Parana, Brazil | |||
3323985 | 3323985 | 2022-12-16 | Brazil | Pernambuco | 1106891 | 22527 | 0 | -8.8137 | -36.9541 | 2022-12-17 04:21:04 | Pernambuco, Brazil | |||
3323986 | 3323986 | 2022-12-16 | Brazil | Piaui | 408687 | 7988 | 0 | -7.7183 | -42.7289 | 2022-12-17 04:21:04 | Piaui, Brazil | |||
3323987 | 3323987 | 2022-12-16 | Brazil | Rio Grande do Norte | 577854 | 8596 | 0 | -5.4026 | -36.9541 | 2022-12-17 04:21:04 | Rio Grande do Norte, Brazil | |||
3323988 | 3323988 | 2022-12-16 | Brazil | Rio Grande do Sul | 2827795 | 41365 | 0 | -30.0346 | -51.2177 | 2022-12-17 04:21:04 | Rio Grande do Sul, Brazil | |||
3323989 | 3323989 | 2022-12-16 | Brazil | Rio de Janeiro | 2677837 | 76288 | 0 | -22.9068 | -43.1729 | 2022-12-17 04:21:04 | Rio de Janeiro, Brazil | |||
3323990 | 3323990 | 2022-12-16 | Brazil | Rondonia | 464228 | 7378 | 0 | -11.5057 | -63.5806 | 2022-12-17 04:21:04 | Rondonia, Brazil | |||
3323991 | 3323991 | 2022-12-16 | Brazil | Roraima | 180646 | 2178 | 0 | -2.7376 | -62.0751 | 2022-12-17 04:21:04 | Roraima, Brazil | |||
3323992 | 3323992 | 2022-12-16 | Brazil | Santa Catarina | 1937025 | 22520 | 0 | -27.2423 | -50.2189 | 2022-12-17 04:21:04 | Santa Catarina, Brazil | |||
3323993 | 3323993 | 2022-12-16 | Brazil | Sao Paulo | 6255162 | 176876 | 0 | -23.5505 | -46.6333 | 2022-12-17 04:21:04 | Sao Paulo, Brazil | |||
3323994 | 3323994 | 2022-12-16 | Brazil | Sergipe | 355820 | 6475 | 0 | -10.5741 | -37.3857 | 2022-12-17 04:21:04 | Sergipe, Brazil | |||
3323995 | 3323995 | 2022-12-16 | Brazil | Tocantins | 352535 | 4208 | 0 | -10.1753 | -48.2982 | 2022-12-17 04:21:04 | Tocantins, Brazil |
Advanced export
JSON shape: default, array, newline-delimited
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]);