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" is on date 2022-01-05 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1285718 | 1285718 | 2022-01-04 | Brazil | Acre | 88395 | 1852 | 0 | -9.0238 | -70.812 | 2022-01-05 04:21:59 | Acre, Brazil | |||
1285719 | 1285719 | 2022-01-04 | Brazil | Alagoas | 242165 | 6383 | 0 | -9.5713 | -36.782 | 2022-01-05 04:21:59 | Alagoas, Brazil | |||
1285720 | 1285720 | 2022-01-04 | Brazil | Amapa | 127147 | 2023 | 0 | 0.902 | -52.003 | 2022-01-05 04:21:59 | Amapa, Brazil | |||
1285721 | 1285721 | 2022-01-04 | Brazil | Amazonas | 434142 | 13838 | 0 | -3.4168 | -65.8561 | 2022-01-05 04:21:59 | Amazonas, Brazil | |||
1285722 | 1285722 | 2022-01-04 | Brazil | Bahia | 1271962 | 27538 | 0 | -12.5797 | -41.7007 | 2022-01-05 04:21:59 | Bahia, Brazil | |||
1285723 | 1285723 | 2022-01-04 | Brazil | Ceara | 957498 | 24823 | 0 | -5.4984 | -39.3206 | 2022-01-05 04:21:59 | Ceara, Brazil | |||
1285724 | 1285724 | 2022-01-04 | Brazil | Distrito Federal | 521140 | 11112 | 0 | -15.7998 | -47.8645 | 2022-01-05 04:21:59 | Distrito Federal, Brazil | |||
1285725 | 1285725 | 2022-01-04 | Brazil | Espirito Santo | 631039 | 13337 | 0 | -19.1834 | -40.3089 | 2022-01-05 04:21:59 | Espirito Santo, Brazil | |||
1285726 | 1285726 | 2022-01-04 | Brazil | Goias | 948625 | 24699 | 0 | -15.827 | -49.8362 | 2022-01-05 04:21:59 | Goias, Brazil | |||
1285727 | 1285727 | 2022-01-04 | Brazil | Maranhao | 370908 | 10384 | 0 | -4.9609 | -45.2744 | 2022-01-05 04:21:59 | Maranhao, Brazil | |||
1285728 | 1285728 | 2022-01-04 | Brazil | Mato Grosso | 559043 | 14069 | 0 | -12.6819 | -56.9211 | 2022-01-05 04:21:59 | Mato Grosso, Brazil | |||
1285729 | 1285729 | 2022-01-04 | Brazil | Mato Grosso do Sul | 380820 | 9733 | 0 | -20.7722 | -54.7852 | 2022-01-05 04:21:59 | Mato Grosso do Sul, Brazil | |||
1285730 | 1285730 | 2022-01-04 | Brazil | Minas Gerais | 2228574 | 56683 | 0 | -18.5122 | -44.555 | 2022-01-05 04:21:59 | Minas Gerais, Brazil | |||
1285731 | 1285731 | 2022-01-04 | Brazil | Para | 626701 | 17108 | 0 | -1.9981 | -54.9306 | 2022-01-05 04:21:59 | Para, Brazil | |||
1285732 | 1285732 | 2022-01-04 | Brazil | Paraiba | 464629 | 9600 | 0 | -7.24 | -36.782 | 2022-01-05 04:21:59 | Paraiba, Brazil | |||
1285733 | 1285733 | 2022-01-04 | Brazil | Parana | 1602747 | 40900 | 0 | -25.2521 | -52.0215 | 2022-01-05 04:21:59 | Parana, Brazil | |||
1285734 | 1285734 | 2022-01-04 | Brazil | Pernambuco | 646276 | 20473 | 0 | -8.8137 | -36.9541 | 2022-01-05 04:21:59 | Pernambuco, Brazil | |||
1285735 | 1285735 | 2022-01-04 | Brazil | Piaui | 334606 | 7283 | 0 | -7.7183 | -42.7289 | 2022-01-05 04:21:59 | Piaui, Brazil | |||
1285736 | 1285736 | 2022-01-04 | Brazil | Rio Grande do Norte | 387919 | 7577 | 0 | -5.4026 | -36.9541 | 2022-01-05 04:21:59 | Rio Grande do Norte, Brazil | |||
1285737 | 1285737 | 2022-01-04 | Brazil | Rio Grande do Sul | 1509873 | 36460 | 0 | -30.0346 | -51.2177 | 2022-01-05 04:21:59 | Rio Grande do Sul, Brazil | |||
1285738 | 1285738 | 2022-01-04 | Brazil | Rio de Janeiro | 1359403 | 69513 | 0 | -22.9068 | -43.1729 | 2022-01-05 04:21:59 | Rio de Janeiro, Brazil | |||
1285739 | 1285739 | 2022-01-04 | Brazil | Rondonia | 285037 | 6745 | 0 | -11.5057 | -63.5806 | 2022-01-05 04:21:59 | Rondonia, Brazil | |||
1285740 | 1285740 | 2022-01-04 | Brazil | Roraima | 129220 | 2078 | 0 | -2.7376 | -62.0751 | 2022-01-05 04:21:59 | Roraima, Brazil | |||
1285741 | 1285741 | 2022-01-04 | Brazil | Santa Catarina | 1246583 | 20198 | 0 | -27.2423 | -50.2189 | 2022-01-05 04:21:59 | Santa Catarina, Brazil | |||
1285742 | 1285742 | 2022-01-04 | Brazil | Sao Paulo | 4458689 | 155242 | 0 | -23.5505 | -46.6333 | 2022-01-05 04:21:59 | Sao Paulo, Brazil | |||
1285743 | 1285743 | 2022-01-04 | Brazil | Sergipe | 278557 | 6059 | 0 | -10.5741 | -37.3857 | 2022-01-05 04:21:59 | Sergipe, Brazil | |||
1285744 | 1285744 | 2022-01-04 | Brazil | Tocantins | 236554 | 3944 | 0 | -10.1753 | -48.2982 | 2022-01-05 04:21:59 | 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]);