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 2021-10-30 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2720714 | 2720714 | 2021-10-30 | Brazil | Acre | 88050 | 1845 | 0 | -9.0238 | -70.812 | 2021-10-31 04:22:08 | Acre, Brazil | |||
2720715 | 2720715 | 2021-10-30 | Brazil | Alagoas | 240062 | 6290 | 0 | -9.5713 | -36.782 | 2021-10-31 04:22:08 | Alagoas, Brazil | |||
2720716 | 2720716 | 2021-10-30 | Brazil | Amapa | 123609 | 1991 | 0 | 0.902 | -52.003 | 2021-10-31 04:22:08 | Amapa, Brazil | |||
2720717 | 2720717 | 2021-10-30 | Brazil | Amazonas | 427768 | 13770 | 0 | -3.4168 | -65.8561 | 2021-10-31 04:22:08 | Amazonas, Brazil | |||
2720718 | 2720718 | 2021-10-30 | Brazil | Bahia | 1246064 | 27076 | 0 | -12.5797 | -41.7007 | 2021-10-31 04:22:08 | Bahia, Brazil | |||
2720719 | 2720719 | 2021-10-30 | Brazil | Ceara | 943560 | 24497 | 0 | -5.4984 | -39.3206 | 2021-10-31 04:22:08 | Ceara, Brazil | |||
2720720 | 2720720 | 2021-10-30 | Brazil | Distrito Federal | 514815 | 10866 | 0 | -15.7998 | -47.8645 | 2021-10-31 04:22:08 | Distrito Federal, Brazil | |||
2720721 | 2720721 | 2021-10-30 | Brazil | Espirito Santo | 606950 | 12915 | 0 | -19.1834 | -40.3089 | 2021-10-31 04:22:08 | Espirito Santo, Brazil | |||
2720722 | 2720722 | 2021-10-30 | Brazil | Goias | 904909 | 24197 | 0 | -15.827 | -49.8362 | 2021-10-31 04:22:08 | Goias, Brazil | |||
2720723 | 2720723 | 2021-10-30 | Brazil | Maranhao | 361042 | 10236 | 0 | -4.9609 | -45.2744 | 2021-10-31 04:22:08 | Maranhao, Brazil | |||
2720724 | 2720724 | 2021-10-30 | Brazil | Mato Grosso | 546970 | 13929 | 0 | -12.6819 | -56.9211 | 2021-10-31 04:22:08 | Mato Grosso, Brazil | |||
2720725 | 2720725 | 2021-10-30 | Brazil | Mato Grosso do Sul | 376463 | 9646 | 0 | -20.7722 | -54.7852 | 2021-10-31 04:22:08 | Mato Grosso do Sul, Brazil | |||
2720726 | 2720726 | 2021-10-30 | Brazil | Minas Gerais | 2184868 | 55552 | 0 | -18.5122 | -44.555 | 2021-10-31 04:22:08 | Minas Gerais, Brazil | |||
2720727 | 2720727 | 2021-10-30 | Brazil | Para | 598415 | 16745 | 0 | -1.9981 | -54.9306 | 2021-10-31 04:22:08 | Para, Brazil | |||
2720728 | 2720728 | 2021-10-30 | Brazil | Paraiba | 445866 | 9418 | 0 | -7.24 | -36.782 | 2021-10-31 04:22:08 | Paraiba, Brazil | |||
2720729 | 2720729 | 2021-10-30 | Brazil | Parana | 1553985 | 40503 | 0 | -25.2521 | -52.0215 | 2021-10-31 04:22:08 | Parana, Brazil | |||
2720730 | 2720730 | 2021-10-30 | Brazil | Pernambuco | 631632 | 20007 | 0 | -8.8137 | -36.9541 | 2021-10-31 04:22:08 | Pernambuco, Brazil | |||
2720731 | 2720731 | 2021-10-30 | Brazil | Piaui | 325695 | 7099 | 0 | -7.7183 | -42.7289 | 2021-10-31 04:22:08 | Piaui, Brazil | |||
2720732 | 2720732 | 2021-10-30 | Brazil | Rio Grande do Norte | 373684 | 7397 | 0 | -5.4026 | -36.9541 | 2021-10-31 04:22:08 | Rio Grande do Norte, Brazil | |||
2720733 | 2720733 | 2021-10-30 | Brazil | Rio Grande do Sul | 1466355 | 35487 | 0 | -30.0346 | -51.2177 | 2021-10-31 04:22:08 | Rio Grande do Sul, Brazil | |||
2720734 | 2720734 | 2021-10-30 | Brazil | Rio de Janeiro | 1321174 | 68347 | 0 | -22.9068 | -43.1729 | 2021-10-31 04:22:08 | Rio de Janeiro, Brazil | |||
2720735 | 2720735 | 2021-10-30 | Brazil | Rondonia | 270151 | 6570 | 0 | -11.5057 | -63.5806 | 2021-10-31 04:22:08 | Rondonia, Brazil | |||
2720736 | 2720736 | 2021-10-30 | Brazil | Roraima | 127385 | 2029 | 0 | -2.7376 | -62.0751 | 2021-10-31 04:22:08 | Roraima, Brazil | |||
2720737 | 2720737 | 2021-10-30 | Brazil | Santa Catarina | 1216323 | 19656 | 0 | -27.2423 | -50.2189 | 2021-10-31 04:22:08 | Santa Catarina, Brazil | |||
2720738 | 2720738 | 2021-10-30 | Brazil | Sao Paulo | 4405527 | 151975 | 0 | -23.5505 | -46.6333 | 2021-10-31 04:22:08 | Sao Paulo, Brazil | |||
2720739 | 2720739 | 2021-10-30 | Brazil | Sergipe | 278492 | 6029 | 0 | -10.5741 | -37.3857 | 2021-10-31 04:22:08 | Sergipe, Brazil | |||
2720740 | 2720740 | 2021-10-30 | Brazil | Tocantins | 228681 | 3877 | 0 | -10.1753 | -48.2982 | 2021-10-31 04:22:08 | 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]);