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 = "2022-10-05 04:23:06" sorted by day descending
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Suggested facets: last_update (date)
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 130462 | 130462 | 2022-10-04 | Brazil | Acre | 149730 | 2029 | 0 | -9.0238 | -70.812 | 2022-10-05 04:23:06 | Acre, Brazil | |||
| 130463 | 130463 | 2022-10-04 | Brazil | Alagoas | 321119 | 7124 | 0 | -9.5713 | -36.782 | 2022-10-05 04:23:06 | Alagoas, Brazil | |||
| 130464 | 130464 | 2022-10-04 | Brazil | Amapa | 178277 | 2163 | 0 | 0.902 | -52.003 | 2022-10-05 04:23:06 | Amapa, Brazil | |||
| 130465 | 130465 | 2022-10-04 | Brazil | Amazonas | 616379 | 14329 | 0 | -3.4168 | -65.8561 | 2022-10-05 04:23:06 | Amazonas, Brazil | |||
| 130466 | 130466 | 2022-10-04 | Brazil | Bahia | 1698101 | 30705 | 0 | -12.5797 | -41.7007 | 2022-10-05 04:23:06 | Bahia, Brazil | |||
| 130467 | 130467 | 2022-10-04 | Brazil | Ceara | 1384688 | 27685 | 0 | -5.4984 | -39.3206 | 2022-10-05 04:23:06 | Ceara, Brazil | |||
| 130468 | 130468 | 2022-10-04 | Brazil | Distrito Federal | 839233 | 11831 | 0 | -15.7998 | -47.8645 | 2022-10-05 04:23:06 | Distrito Federal, Brazil | |||
| 130469 | 130469 | 2022-10-04 | Brazil | Espirito Santo | 1215494 | 14817 | 0 | -19.1834 | -40.3089 | 2022-10-05 04:23:06 | Espirito Santo, Brazil | |||
| 130470 | 130470 | 2022-10-04 | Brazil | Goias | 1706060 | 27537 | 0 | -15.827 | -49.8362 | 2022-10-05 04:23:06 | Goias, Brazil | |||
| 130471 | 130471 | 2022-10-04 | Brazil | Maranhao | 472202 | 10993 | 0 | -4.9609 | -45.2744 | 2022-10-05 04:23:06 | Maranhao, Brazil | |||
| 130472 | 130472 | 2022-10-04 | Brazil | Mato Grosso | 830776 | 14947 | 0 | -12.6819 | -56.9211 | 2022-10-05 04:23:06 | Mato Grosso, Brazil | |||
| 130473 | 130473 | 2022-10-04 | Brazil | Mato Grosso do Sul | 581329 | 10835 | 0 | -20.7722 | -54.7852 | 2022-10-05 04:23:06 | Mato Grosso do Sul, Brazil | |||
| 130474 | 130474 | 2022-10-04 | Brazil | Minas Gerais | 3881157 | 63784 | 0 | -18.5122 | -44.555 | 2022-10-05 04:23:06 | Minas Gerais, Brazil | |||
| 130475 | 130475 | 2022-10-04 | Brazil | Para | 840345 | 18857 | 0 | -1.9981 | -54.9306 | 2022-10-05 04:23:06 | Para, Brazil | |||
| 130476 | 130476 | 2022-10-04 | Brazil | Paraiba | 653114 | 10403 | 0 | -7.24 | -36.782 | 2022-10-05 04:23:06 | Paraiba, Brazil | |||
| 130477 | 130477 | 2022-10-04 | Brazil | Parana | 2748742 | 45349 | 0 | -25.2521 | -52.0215 | 2022-10-05 04:23:06 | Parana, Brazil | |||
| 130478 | 130478 | 2022-10-04 | Brazil | Pernambuco | 1059253 | 22304 | 0 | -8.8137 | -36.9541 | 2022-10-05 04:23:06 | Pernambuco, Brazil | |||
| 130479 | 130479 | 2022-10-04 | Brazil | Piaui | 401821 | 7954 | 0 | -7.7183 | -42.7289 | 2022-10-05 04:23:06 | Piaui, Brazil | |||
| 130480 | 130480 | 2022-10-04 | Brazil | Rio Grande do Norte | 556825 | 8469 | 0 | -5.4026 | -36.9541 | 2022-10-05 04:23:06 | Rio Grande do Norte, Brazil | |||
| 130481 | 130481 | 2022-10-04 | Brazil | Rio Grande do Sul | 2735413 | 41092 | 0 | -30.0346 | -51.2177 | 2022-10-05 04:23:06 | Rio Grande do Sul, Brazil | |||
| 130482 | 130482 | 2022-10-04 | Brazil | Rio de Janeiro | 2518758 | 75728 | 0 | -22.9068 | -43.1729 | 2022-10-05 04:23:06 | Rio de Janeiro, Brazil | |||
| 130483 | 130483 | 2022-10-04 | Brazil | Rondonia | 456842 | 7358 | 0 | -11.5057 | -63.5806 | 2022-10-05 04:23:06 | Rondonia, Brazil | |||
| 130484 | 130484 | 2022-10-04 | Brazil | Roraima | 175074 | 2173 | 0 | -2.7376 | -62.0751 | 2022-10-05 04:23:06 | Roraima, Brazil | |||
| 130485 | 130485 | 2022-10-04 | Brazil | Santa Catarina | 1876740 | 22408 | 0 | -27.2423 | -50.2189 | 2022-10-05 04:23:06 | Santa Catarina, Brazil | |||
| 130486 | 130486 | 2022-10-04 | Brazil | Sao Paulo | 6099661 | 174856 | 0 | -23.5505 | -46.6333 | 2022-10-05 04:23:06 | Sao Paulo, Brazil | |||
| 130487 | 130487 | 2022-10-04 | Brazil | Sergipe | 342890 | 6437 | 0 | -10.5741 | -37.3857 | 2022-10-05 04:23:06 | Sergipe, Brazil | |||
| 130488 | 130488 | 2022-10-04 | Brazil | Tocantins | 344506 | 4204 | 0 | -10.1753 | -48.2982 | 2022-10-05 04:23:06 | 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]);