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 = "2022-06-10 04:20:55" 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3157349 | 3157349 | 2022-06-09 | Brazil | Acre | 125146 | 2002 | 0 | -9.0238 | -70.812 | 2022-06-10 04:20:55 | Acre, Brazil | |||
3157350 | 3157350 | 2022-06-09 | Brazil | Alagoas | 299740 | 6936 | 0 | -9.5713 | -36.782 | 2022-06-10 04:20:55 | Alagoas, Brazil | |||
3157351 | 3157351 | 2022-06-09 | Brazil | Amapa | 160464 | 2136 | 0 | 0.902 | -52.003 | 2022-06-10 04:20:55 | Amapa, Brazil | |||
3157352 | 3157352 | 2022-06-09 | Brazil | Amazonas | 582965 | 14175 | 0 | -3.4168 | -65.8561 | 2022-06-10 04:20:55 | Amazonas, Brazil | |||
3157353 | 3157353 | 2022-06-09 | Brazil | Bahia | 1552934 | 29951 | 0 | -12.5797 | -41.7007 | 2022-06-10 04:20:55 | Bahia, Brazil | |||
3157354 | 3157354 | 2022-06-09 | Brazil | Ceara | 1249043 | 27127 | 0 | -5.4984 | -39.3206 | 2022-06-10 04:20:55 | Ceara, Brazil | |||
3157355 | 3157355 | 2022-06-09 | Brazil | Distrito Federal | 736921 | 11697 | 0 | -15.7998 | -47.8645 | 2022-06-10 04:20:55 | Distrito Federal, Brazil | |||
3157356 | 3157356 | 2022-06-09 | Brazil | Espirito Santo | 1061805 | 14427 | 0 | -19.1834 | -40.3089 | 2022-06-10 04:20:55 | Espirito Santo, Brazil | |||
3157357 | 3157357 | 2022-06-09 | Brazil | Goias | 1400309 | 26701 | 0 | -15.827 | -49.8362 | 2022-06-10 04:20:55 | Goias, Brazil | |||
3157358 | 3157358 | 2022-06-09 | Brazil | Maranhao | 439931 | 10890 | 0 | -4.9609 | -45.2744 | 2022-06-10 04:20:55 | Maranhao, Brazil | |||
3157359 | 3157359 | 2022-06-09 | Brazil | Mato Grosso | 736260 | 14647 | 0 | -12.6819 | -56.9211 | 2022-06-10 04:20:55 | Mato Grosso, Brazil | |||
3157360 | 3157360 | 2022-06-09 | Brazil | Mato Grosso do Sul | 539595 | 10575 | 0 | -20.7722 | -54.7852 | 2022-06-10 04:20:55 | Mato Grosso do Sul, Brazil | |||
3157361 | 3157361 | 2022-06-09 | Brazil | Minas Gerais | 3470558 | 61699 | 0 | -18.5122 | -44.555 | 2022-06-10 04:20:55 | Minas Gerais, Brazil | |||
3157362 | 3157362 | 2022-06-09 | Brazil | Para | 776733 | 18400 | 0 | -1.9981 | -54.9306 | 2022-06-10 04:20:55 | Para, Brazil | |||
3157363 | 3157363 | 2022-06-09 | Brazil | Paraiba | 607090 | 10222 | 0 | -7.24 | -36.782 | 2022-06-10 04:20:55 | Paraiba, Brazil | |||
3157364 | 3157364 | 2022-06-09 | Brazil | Parana | 2562739 | 43440 | 0 | -25.2521 | -52.0215 | 2022-06-10 04:20:55 | Parana, Brazil | |||
3157365 | 3157365 | 2022-06-09 | Brazil | Pernambuco | 944360 | 21761 | 0 | -8.8137 | -36.9541 | 2022-06-10 04:20:55 | Pernambuco, Brazil | |||
3157366 | 3157366 | 2022-06-09 | Brazil | Piaui | 368198 | 7748 | 0 | -7.7183 | -42.7289 | 2022-06-10 04:20:55 | Piaui, Brazil | |||
3157367 | 3157367 | 2022-06-09 | Brazil | Rio Grande do Norte | 509483 | 8214 | 0 | -5.4026 | -36.9541 | 2022-06-10 04:20:55 | Rio Grande do Norte, Brazil | |||
3157368 | 3157368 | 2022-06-09 | Brazil | Rio Grande do Sul | 2475484 | 39694 | 0 | -30.0346 | -51.2177 | 2022-06-10 04:20:55 | Rio Grande do Sul, Brazil | |||
3157369 | 3157369 | 2022-06-09 | Brazil | Rio de Janeiro | 2233545 | 73861 | 0 | -22.9068 | -43.1729 | 2022-06-10 04:20:55 | Rio de Janeiro, Brazil | |||
3157370 | 3157370 | 2022-06-09 | Brazil | Rondonia | 405820 | 7221 | 0 | -11.5057 | -63.5806 | 2022-06-10 04:20:55 | Rondonia, Brazil | |||
3157371 | 3157371 | 2022-06-09 | Brazil | Roraima | 155959 | 2152 | 0 | -2.7376 | -62.0751 | 2022-06-10 04:20:55 | Roraima, Brazil | |||
3157372 | 3157372 | 2022-06-09 | Brazil | Santa Catarina | 1758208 | 21899 | 0 | -27.2423 | -50.2189 | 2022-06-10 04:20:55 | Santa Catarina, Brazil | |||
3157373 | 3157373 | 2022-06-09 | Brazil | Sao Paulo | 5572697 | 169709 | 0 | -23.5505 | -46.6333 | 2022-06-10 04:20:55 | Sao Paulo, Brazil | |||
3157374 | 3157374 | 2022-06-09 | Brazil | Sergipe | 327638 | 6349 | 0 | -10.5741 | -37.3857 | 2022-06-10 04:20:55 | Sergipe, Brazil | |||
3157375 | 3157375 | 2022-06-09 | Brazil | Tocantins | 307225 | 4157 | 0 | -10.1753 | -48.2982 | 2022-06-10 04:20:55 | 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]);