johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
28 rows where country_or_region = "Brazil" and last_update = "2020-05-29 02:32:50" sorted by day descending
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Suggested facets: deaths, longitude, 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2712102 | 2712102 | 2020-05-28 | Brazil | Acre | 5600 | 122 | 0 | 5478 | -9.0238 | -70.812 | 2020-05-29 02:32:50 | Acre, Brazil | ||
| 2712106 | 2712106 | 2020-05-28 | Brazil | Alagoas | 8056 | 385 | 0 | 7670 | -9.5713 | -36.782 | 2020-05-29 02:32:50 | Alagoas, Brazil | ||
| 2712108 | 2712108 | 2020-05-28 | Brazil | Amapa | 8152 | 198 | 0 | 7954 | 0.902 | -52.003 | 2020-05-29 02:32:50 | Amapa, Brazil | ||
| 2712109 | 2712109 | 2020-05-28 | Brazil | Amazonas | 36146 | 1964 | 0 | 34182 | -3.4168 | -65.8561 | 2020-05-29 02:32:50 | Amazonas, Brazil | ||
| 2712133 | 2712133 | 2020-05-28 | Brazil | Bahia | 15963 | 570 | 0 | 15393 | -12.5797 | -41.7007 | 2020-05-29 02:32:50 | Bahia, Brazil | ||
| 2712167 | 2712167 | 2020-05-28 | Brazil | Ceara | 37821 | 2733 | 0 | 35088 | -5.4984 | -39.3206 | 2020-05-29 02:32:50 | Ceara, Brazil | ||
| 2712186 | 2712186 | 2020-05-28 | Brazil | Distrito Federal | 8300 | 142 | 0 | 8158 | -15.7998 | -47.8645 | 2020-05-29 02:32:50 | Distrito Federal, Brazil | ||
| 2712190 | 2712190 | 2020-05-28 | Brazil | Espirito Santo | 12203 | 538 | 0 | 11665 | -19.1834 | -40.3089 | 2020-05-29 02:32:50 | Espirito Santo, Brazil | ||
| 2712205 | 2712205 | 2020-05-28 | Brazil | Goias | 3101 | 115 | 0 | 2975 | -15.827 | -49.8362 | 2020-05-29 02:32:50 | Goias, Brazil | ||
| 2712267 | 2712267 | 2020-05-28 | Brazil | Maranhao | 30482 | 911 | 0 | 27092 | -4.9609 | -45.2744 | 2020-05-29 02:32:50 | Maranhao, Brazil | ||
| 2712270 | 2712270 | 2020-05-28 | Brazil | Mato Grosso | 2085 | 54 | 0 | 1900 | -12.6819 | -56.9211 | 2020-05-29 02:32:50 | Mato Grosso, Brazil | ||
| 2712271 | 2712271 | 2020-05-28 | Brazil | Mato Grosso do Sul | 1356 | 18 | 0 | 1244 | -20.7722 | -54.7852 | 2020-05-29 02:32:50 | Mato Grosso do Sul, Brazil | ||
| 2712281 | 2712281 | 2020-05-28 | Brazil | Minas Gerais | 8686 | 255 | 0 | 8431 | -18.5122 | -44.555 | 2020-05-29 02:32:50 | Minas Gerais, Brazil | ||
| 2712321 | 2712321 | 2020-05-28 | Brazil | Para | 35132 | 2785 | 0 | 30995 | -1.9981 | -54.9306 | 2020-05-29 02:32:50 | Para, Brazil | ||
| 2712322 | 2712322 | 2020-05-28 | Brazil | Paraiba | 11132 | 318 | 0 | 10814 | -7.24 | -36.782 | 2020-05-29 02:32:50 | Paraiba, Brazil | ||
| 2712323 | 2712323 | 2020-05-28 | Brazil | Parana | 4041 | 174 | 0 | 3815 | -25.2521 | -52.0215 | 2020-05-29 02:32:50 | Parana, Brazil | ||
| 2712325 | 2712325 | 2020-05-28 | Brazil | Pernambuco | 30713 | 2566 | 0 | 28147 | -8.8137 | -36.9541 | 2020-05-29 02:32:50 | Pernambuco, Brazil | ||
| 2712326 | 2712326 | 2020-05-28 | Brazil | Piaui | 4503 | 146 | 0 | 4105 | -7.7183 | -42.7289 | 2020-05-29 02:32:50 | Piaui, Brazil | ||
| 2712345 | 2712345 | 2020-05-28 | Brazil | Rio Grande do Norte | 6463 | 268 | 0 | 5376 | -5.4026 | -36.9541 | 2020-05-29 02:32:50 | Rio Grande do Norte, Brazil | ||
| 2712346 | 2712346 | 2020-05-28 | Brazil | Rio Grande do Sul | 8234 | 213 | 0 | 8021 | -30.0346 | -51.2177 | 2020-05-29 02:32:50 | Rio Grande do Sul, Brazil | ||
| 2712347 | 2712347 | 2020-05-28 | Brazil | Rio de Janeiro | 44886 | 4856 | 0 | 40030 | -22.9068 | -43.1729 | 2020-05-29 02:32:50 | Rio de Janeiro, Brazil | ||
| 2712349 | 2712349 | 2020-05-28 | Brazil | Rondonia | 4252 | 142 | 0 | 4110 | -11.5057 | -63.5806 | 2020-05-29 02:32:50 | Rondonia, Brazil | ||
| 2712350 | 2712350 | 2020-05-28 | Brazil | Roraima | 3098 | 108 | 0 | 2857 | -2.7376 | -62.0751 | 2020-05-29 02:32:50 | Roraima, Brazil | ||
| 2712362 | 2712362 | 2020-05-28 | Brazil | Santa Catarina | 8000 | 131 | 0 | 7869 | -27.2423 | -50.2189 | 2020-05-29 02:32:50 | Santa Catarina, Brazil | ||
| 2712364 | 2712364 | 2020-05-28 | Brazil | Sao Paulo | 95865 | 6980 | 0 | 88885 | -23.5505 | -46.6333 | 2020-05-29 02:32:50 | Sao Paulo, Brazil | ||
| 2712368 | 2712368 | 2020-05-28 | Brazil | Sergipe | 6156 | 135 | 0 | 6021 | -10.5741 | -37.3857 | 2020-05-29 02:32:50 | Sergipe, Brazil | ||
| 2712393 | 2712393 | 2020-05-28 | Brazil | Tocantins | 3277 | 68 | 0 | 3209 | -10.1753 | -48.2982 | 2020-05-29 02:32:50 | Tocantins, Brazil | ||
| 2712405 | 2712405 | 2020-05-28 | Brazil | Unknown | 0 | 0 | 177604 | 0 | 2020-05-29 02:32:50 | Unknown, 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]);