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 = "2020-09-04 04:28:26" sorted by day descending
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1354048 | 1354048 | 2020-09-03 | Brazil | Acre | 25135 | 622 | 19695 | 4818 | -9.0238 | -70.812 | 2020-09-04 04:28:26 | Acre, Brazil | ||
1354049 | 1354049 | 2020-09-03 | Brazil | Alagoas | 79797 | 1910 | 75156 | 2731 | -9.5713 | -36.782 | 2020-09-04 04:28:26 | Alagoas, Brazil | ||
1354050 | 1354050 | 2020-09-03 | Brazil | Amapa | 44064 | 669 | 32172 | 11223 | 0.902 | -52.003 | 2020-09-04 04:28:26 | Amapa, Brazil | ||
1354051 | 1354051 | 2020-09-03 | Brazil | Amazonas | 122520 | 3828 | 103958 | 14734 | -3.4168 | -65.8561 | 2020-09-04 04:28:26 | Amazonas, Brazil | ||
1354052 | 1354052 | 2020-09-03 | Brazil | Bahia | 265739 | 5549 | 250309 | 9881 | -12.5797 | -41.7007 | 2020-09-04 04:28:26 | Bahia, Brazil | ||
1354053 | 1354053 | 2020-09-03 | Brazil | Ceara | 220040 | 8532 | 193642 | 17537 | -5.4984 | -39.3206 | 2020-09-04 04:28:26 | Ceara, Brazil | ||
1354054 | 1354054 | 2020-09-03 | Brazil | Distrito Federal | 165903 | 2641 | 150538 | 12724 | -15.7998 | -47.8645 | 2020-09-04 04:28:26 | Distrito Federal, Brazil | ||
1354055 | 1354055 | 2020-09-03 | Brazil | Espirito Santo | 113759 | 3221 | 102928 | 7610 | -19.1834 | -40.3089 | 2020-09-04 04:28:26 | Espirito Santo, Brazil | ||
1354056 | 1354056 | 2020-09-03 | Brazil | Goias | 143793 | 3385 | 132370 | 4701 | -15.827 | -49.8362 | 2020-09-04 04:28:26 | Goias, Brazil | ||
1354057 | 1354057 | 2020-09-03 | Brazil | Maranhao | 155717 | 3478 | 142763 | 9476 | -4.9609 | -45.2744 | 2020-09-04 04:28:26 | Maranhao, Brazil | ||
1354058 | 1354058 | 2020-09-03 | Brazil | Mato Grosso | 96349 | 2893 | 77046 | 15539 | -12.6819 | -56.9211 | 2020-09-04 04:28:26 | Mato Grosso, Brazil | ||
1354059 | 1354059 | 2020-09-03 | Brazil | Mato Grosso do Sul | 52406 | 939 | 42384 | 8277 | -20.7722 | -54.7852 | 2020-09-04 04:28:26 | Mato Grosso do Sul, Brazil | ||
1354060 | 1354060 | 2020-09-03 | Brazil | Minas Gerais | 224987 | 5591 | 189835 | 29561 | -18.5122 | -44.555 | 2020-09-04 04:28:26 | Minas Gerais, Brazil | ||
1354061 | 1354061 | 2020-09-03 | Brazil | Para | 205291 | 6228 | 187691 | 10063 | -1.9981 | -54.9306 | 2020-09-04 04:28:26 | Para, Brazil | ||
1354062 | 1354062 | 2020-09-03 | Brazil | Paraiba | 108182 | 2501 | 78720 | 26961 | -7.24 | -36.782 | 2020-09-04 04:28:26 | Paraiba, Brazil | ||
1354063 | 1354063 | 2020-09-03 | Brazil | Parana | 137865 | 3449 | 93878 | 40538 | -25.2521 | -52.0215 | 2020-09-04 04:28:26 | Parana, Brazil | ||
1354064 | 1354064 | 2020-09-03 | Brazil | Pernambuco | 130199 | 7619 | 113496 | 9084 | -8.8137 | -36.9541 | 2020-09-04 04:28:26 | Pernambuco, Brazil | ||
1354065 | 1354065 | 2020-09-03 | Brazil | Piaui | 81626 | 1884 | 78268 | 0 | -7.7183 | -42.7289 | 2020-09-04 04:28:26 | Piaui, Brazil | ||
1354066 | 1354066 | 2020-09-03 | Brazil | Rio Grande do Norte | 63507 | 2289 | 37767 | 22810 | -5.4026 | -36.9541 | 2020-09-04 04:28:26 | Rio Grande do Norte, Brazil | ||
1354067 | 1354067 | 2020-09-03 | Brazil | Rio Grande do Sul | 134610 | 3590 | 120364 | 10656 | -30.0346 | -51.2177 | 2020-09-04 04:28:26 | Rio Grande do Sul, Brazil | ||
1354068 | 1354068 | 2020-09-03 | Brazil | Rio de Janeiro | 230271 | 16394 | 207993 | 5884 | -22.9068 | -43.1729 | 2020-09-04 04:28:26 | Rio de Janeiro, Brazil | ||
1354069 | 1354069 | 2020-09-03 | Brazil | Rondonia | 56618 | 1165 | 46833 | 8620 | -11.5057 | -63.5806 | 2020-09-04 04:28:26 | Rondonia, Brazil | ||
1354070 | 1354070 | 2020-09-03 | Brazil | Roraima | 44665 | 598 | 11263 | 32475 | -2.7376 | -62.0751 | 2020-09-04 04:28:26 | Roraima, Brazil | ||
1354071 | 1354071 | 2020-09-03 | Brazil | Santa Catarina | 184204 | 2352 | 173163 | 8689 | -27.2423 | -50.2189 | 2020-09-04 04:28:26 | Santa Catarina, Brazil | ||
1354072 | 1354072 | 2020-09-03 | Brazil | Sao Paulo | 837978 | 30905 | 668588 | 138485 | -23.5505 | -46.6333 | 2020-09-04 04:28:26 | Sao Paulo, Brazil | ||
1354073 | 1354073 | 2020-09-03 | Brazil | Sergipe | 73182 | 1877 | 63592 | 7713 | -10.5741 | -37.3857 | 2020-09-04 04:28:26 | Sergipe, Brazil | ||
1354074 | 1354074 | 2020-09-03 | Brazil | Tocantins | 54013 | 730 | 35023 | 17203 | -10.1753 | -48.2982 | 2020-09-04 04:28:26 | 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]);