johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
28 rows where country_or_region = "Brazil" and "day" is on date 2020-05-30 sorted by deaths
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Suggested facets: last_update (date)
province_or_state 28
- 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
- Unknown 1
country_or_region 1
- Brazil · 28 ✖
Link | rowid | day | country_or_region | province_or_state | admin2 | fips | confirmed | deaths ▼ | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3638985 | 3638985 | 2020-05-30 | Brazil | Unknown | 0 | 0 | 200892 | 0 | 2020-05-31 02:32:45 | Unknown, Brazil | ||||
3638851 | 3638851 | 2020-05-30 | Brazil | Mato Grosso do Sul | 1489 | 20 | 0 | 1399 | -20.7722 | -54.7852 | 2020-05-31 02:32:45 | Mato Grosso do Sul, Brazil | ||
3638850 | 3638850 | 2020-05-30 | Brazil | Mato Grosso | 2413 | 58 | 0 | 2304 | -12.6819 | -56.9211 | 2020-05-31 02:32:45 | Mato Grosso, Brazil | ||
3638973 | 3638973 | 2020-05-30 | Brazil | Tocantins | 3981 | 71 | 0 | 3910 | -10.1753 | -48.2982 | 2020-05-31 02:32:45 | Tocantins, Brazil | ||
3638930 | 3638930 | 2020-05-30 | Brazil | Roraima | 3475 | 116 | 0 | 3189 | -2.7376 | -62.0751 | 2020-05-31 02:32:45 | Roraima, Brazil | ||
3638784 | 3638784 | 2020-05-30 | Brazil | Goias | 3609 | 124 | 0 | 3463 | -15.827 | -49.8362 | 2020-05-31 02:32:45 | Goias, Brazil | ||
3638942 | 3638942 | 2020-05-30 | Brazil | Santa Catarina | 8780 | 136 | 0 | 8642 | -27.2423 | -50.2189 | 2020-05-31 02:32:45 | Santa Catarina, Brazil | ||
3638681 | 3638681 | 2020-05-30 | Brazil | Acre | 6072 | 142 | 0 | 5930 | -9.0238 | -70.812 | 2020-05-31 02:32:45 | Acre, Brazil | ||
3638948 | 3638948 | 2020-05-30 | Brazil | Sergipe | 6805 | 149 | 0 | 6656 | -10.5741 | -37.3857 | 2020-05-31 02:32:45 | Sergipe, Brazil | ||
3638929 | 3638929 | 2020-05-30 | Brazil | Rondonia | 4743 | 151 | 0 | 4592 | -11.5057 | -63.5806 | 2020-05-31 02:32:45 | Rondonia, Brazil | ||
3638906 | 3638906 | 2020-05-30 | Brazil | Piaui | 4931 | 161 | 0 | 4588 | -7.7183 | -42.7289 | 2020-05-31 02:32:45 | Piaui, Brazil | ||
3638765 | 3638765 | 2020-05-30 | Brazil | Distrito Federal | 9474 | 162 | 0 | 9312 | -15.7998 | -47.8645 | 2020-05-31 02:32:45 | Distrito Federal, Brazil | ||
3638903 | 3638903 | 2020-05-30 | Brazil | Parana | 4538 | 186 | 0 | 4292 | -25.2521 | -52.0215 | 2020-05-31 02:32:45 | Parana, Brazil | ||
3638687 | 3638687 | 2020-05-30 | Brazil | Amapa | 9313 | 215 | 0 | 9098 | 0.902 | -52.003 | 2020-05-31 02:32:45 | Amapa, Brazil | ||
3638926 | 3638926 | 2020-05-30 | Brazil | Rio Grande do Sul | 9242 | 218 | 0 | 9024 | -30.0346 | -51.2177 | 2020-05-31 02:32:45 | Rio Grande do Sul, Brazil | ||
3638861 | 3638861 | 2020-05-30 | Brazil | Minas Gerais | 9630 | 263 | 0 | 9367 | -18.5122 | -44.555 | 2020-05-31 02:32:45 | Minas Gerais, Brazil | ||
3638925 | 3638925 | 2020-05-30 | Brazil | Rio Grande do Norte | 7402 | 305 | 0 | 7097 | -5.4026 | -36.9541 | 2020-05-31 02:32:45 | Rio Grande do Norte, Brazil | ||
3638902 | 3638902 | 2020-05-30 | Brazil | Paraiba | 12862 | 347 | 0 | 12515 | -7.24 | -36.782 | 2020-05-31 02:32:45 | Paraiba, Brazil | ||
3638685 | 3638685 | 2020-05-30 | Brazil | Alagoas | 9223 | 424 | 0 | 8799 | -9.5713 | -36.782 | 2020-05-31 02:32:45 | Alagoas, Brazil | ||
3638769 | 3638769 | 2020-05-30 | Brazil | Espirito Santo | 13437 | 583 | 0 | 12854 | -19.1834 | -40.3089 | 2020-05-31 02:32:45 | Espirito Santo, Brazil | ||
3638712 | 3638712 | 2020-05-30 | Brazil | Bahia | 17626 | 638 | 0 | 16988 | -12.5797 | -41.7007 | 2020-05-31 02:32:45 | Bahia, Brazil | ||
3638847 | 3638847 | 2020-05-30 | Brazil | Maranhao | 34639 | 955 | 0 | 31688 | -4.9609 | -45.2744 | 2020-05-31 02:32:45 | Maranhao, Brazil | ||
3638688 | 3638688 | 2020-05-30 | Brazil | Amazonas | 40560 | 2047 | 0 | 38513 | -3.4168 | -65.8561 | 2020-05-31 02:32:45 | Amazonas, Brazil | ||
3638905 | 3638905 | 2020-05-30 | Brazil | Pernambuco | 33427 | 2740 | 0 | 30687 | -8.8137 | -36.9541 | 2020-05-31 02:32:45 | Pernambuco, Brazil | ||
3638901 | 3638901 | 2020-05-30 | Brazil | Para | 37859 | 2920 | 0 | 34396 | -1.9981 | -54.9306 | 2020-05-31 02:32:45 | Para, Brazil | ||
3638746 | 3638746 | 2020-05-30 | Brazil | Ceara | 47822 | 2956 | 0 | 43550 | -5.4984 | -39.3206 | 2020-05-31 02:32:45 | Ceara, Brazil | ||
3638927 | 3638927 | 2020-05-30 | Brazil | Rio de Janeiro | 52420 | 5277 | 0 | 47143 | -22.9068 | -43.1729 | 2020-05-31 02:32:45 | Rio de Janeiro, Brazil | ||
3638944 | 3638944 | 2020-05-30 | Brazil | Sao Paulo | 107142 | 7532 | 0 | 99610 | -23.5505 | -46.6333 | 2020-05-31 02:32:45 | Sao Paulo, 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]);