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 = "2020-11-16 05:25:57" sorted by day descending
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Suggested facets: longitude
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2879936 | 2879936 | 2020-11-15 | Brazil | Acre | 33156 | 708 | 29425 | 3023 | -9.0238 | -70.812 | 2020-11-16 05:25:57 | Acre, Brazil | ||
2879937 | 2879937 | 2020-11-15 | Brazil | Alagoas | 92596 | 2295 | 89139 | 1162 | -9.5713 | -36.782 | 2020-11-16 05:25:57 | Alagoas, Brazil | ||
2879938 | 2879938 | 2020-11-15 | Brazil | Amapa | 54979 | 777 | 45521 | 8681 | 0.902 | -52.003 | 2020-11-16 05:25:57 | Amapa, Brazil | ||
2879939 | 2879939 | 2020-11-15 | Brazil | Amazonas | 169333 | 4697 | 144258 | 20378 | -3.4168 | -65.8561 | 2020-11-16 05:25:57 | Amazonas, Brazil | ||
2879940 | 2879940 | 2020-11-15 | Brazil | Bahia | 374009 | 7943 | 356425 | 9641 | -12.5797 | -41.7007 | 2020-11-16 05:25:57 | Bahia, Brazil | ||
2879941 | 2879941 | 2020-11-15 | Brazil | Ceara | 285666 | 9439 | 241466 | 34396 | -5.4984 | -39.3206 | 2020-11-16 05:25:57 | Ceara, Brazil | ||
2879942 | 2879942 | 2020-11-15 | Brazil | Distrito Federal | 219992 | 3817 | 210836 | 5339 | -15.7998 | -47.8645 | 2020-11-16 05:25:57 | Distrito Federal, Brazil | ||
2879943 | 2879943 | 2020-11-15 | Brazil | Espirito Santo | 169928 | 4009 | 156968 | 8951 | -19.1834 | -40.3089 | 2020-11-16 05:25:57 | Espirito Santo, Brazil | ||
2879944 | 2879944 | 2020-11-15 | Brazil | Goias | 267772 | 6035 | 257865 | 3704 | -15.827 | -49.8362 | 2020-11-16 05:25:57 | Goias, Brazil | ||
2879945 | 2879945 | 2020-11-15 | Brazil | Maranhao | 189590 | 4178 | 182795 | 2617 | -4.9609 | -45.2744 | 2020-11-16 05:25:57 | Maranhao, Brazil | ||
2879946 | 2879946 | 2020-11-15 | Brazil | Mato Grosso | 152358 | 4041 | 142755 | 4841 | -12.6819 | -56.9211 | 2020-11-16 05:25:57 | Mato Grosso, Brazil | ||
2879947 | 2879947 | 2020-11-15 | Brazil | Mato Grosso do Sul | 88111 | 1693 | 81625 | 4620 | -20.7722 | -54.7852 | 2020-11-16 05:25:57 | Mato Grosso do Sul, Brazil | ||
2879948 | 2879948 | 2020-11-15 | Brazil | Minas Gerais | 382882 | 9507 | 352001 | 21374 | -18.5122 | -44.555 | 2020-11-16 05:25:57 | Minas Gerais, Brazil | ||
2879949 | 2879949 | 2020-11-15 | Brazil | Para | 261899 | 6832 | 244543 | 10418 | -1.9981 | -54.9306 | 2020-11-16 05:25:57 | Para, Brazil | ||
2879950 | 2879950 | 2020-11-15 | Brazil | Paraiba | 138546 | 3204 | 112055 | 23287 | -7.24 | -36.782 | 2020-11-16 05:25:57 | Paraiba, Brazil | ||
2879951 | 2879951 | 2020-11-15 | Brazil | Parana | 239107 | 5697 | 171523 | 61887 | -25.2521 | -52.0215 | 2020-11-16 05:25:57 | Parana, Brazil | ||
2879952 | 2879952 | 2020-11-15 | Brazil | Pernambuco | 170860 | 8827 | 151016 | 11017 | -8.8137 | -36.9541 | 2020-11-16 05:25:57 | Pernambuco, Brazil | ||
2879953 | 2879953 | 2020-11-15 | Brazil | Piaui | 120266 | 2530 | 116994 | 654 | -7.7183 | -42.7289 | 2020-11-16 05:25:57 | Piaui, Brazil | ||
2879954 | 2879954 | 2020-11-15 | Brazil | Rio Grande do Norte | 84021 | 2652 | 47160 | 33845 | -5.4026 | -36.9541 | 2020-11-16 05:25:57 | Rio Grande do Norte, Brazil | ||
2879955 | 2879955 | 2020-11-15 | Brazil | Rio Grande do Sul | 278707 | 6219 | 254703 | 17785 | -30.0346 | -51.2177 | 2020-11-16 05:25:57 | Rio Grande do Sul, Brazil | ||
2879956 | 2879956 | 2020-11-15 | Brazil | Rio de Janeiro | 326956 | 21294 | 297514 | 8148 | -22.9068 | -43.1729 | 2020-11-16 05:25:57 | Rio de Janeiro, Brazil | ||
2879957 | 2879957 | 2020-11-15 | Brazil | Rondonia | 75182 | 1501 | 67037 | 6644 | -11.5057 | -63.5806 | 2020-11-16 05:25:57 | Rondonia, Brazil | ||
2879958 | 2879958 | 2020-11-15 | Brazil | Roraima | 60579 | 706 | 55878 | 3951 | -2.7376 | -62.0751 | 2020-11-16 05:25:57 | Roraima, Brazil | ||
2879959 | 2879959 | 2020-11-15 | Brazil | Santa Catarina | 295946 | 3318 | 270580 | 22048 | -27.2423 | -50.2189 | 2020-11-16 05:25:57 | Santa Catarina, Brazil | ||
2879960 | 2879960 | 2020-11-15 | Brazil | Sao Paulo | 1168640 | 40564 | 1051778 | 76298 | -23.5505 | -46.6333 | 2020-11-16 05:25:57 | Sao Paulo, Brazil | ||
2879961 | 2879961 | 2020-11-15 | Brazil | Sergipe | 86045 | 2259 | 78367 | 5419 | -10.5741 | -37.3857 | 2020-11-16 05:25:57 | Sergipe, Brazil | ||
2879962 | 2879962 | 2020-11-15 | Brazil | Tocantins | 78169 | 1137 | 69225 | 7715 | -10.1753 | -48.2982 | 2020-11-16 05:25:57 | 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]);