johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
25,862 rows where country_or_region = "Brazil" sorted by confirmed
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: longitude, combined_key, day (date), last_update (date)
province_or_state 28
- Acre 954
- Alagoas 954
- Amapa 954
- Amazonas 954
- Bahia 954
- Ceara 954
- Distrito Federal 954
- Espirito Santo 954
- Goias 954
- Maranhao 954
- Mato Grosso 954
- Mato Grosso do Sul 954
- Minas Gerais 954
- Para 954
- Paraiba 954
- Parana 954
- Pernambuco 954
- Piaui 954
- Rio Grande do Norte 954
- Rio Grande do Sul 954
- Rio de Janeiro 954
- Rondonia 954
- Roraima 954
- Santa Catarina 954
- Sao Paulo 954
- Sergipe 954
- Tocantins 954
- Unknown 19
country_or_region 1
- Brazil · 25,862 ✖
Link | rowid | day | country_or_region | province_or_state | admin2 | fips | confirmed ▼ | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
268422 | 268422 | 2020-05-21 | Brazil | Unknown | 0 | 0 | 125960 | 0 | 2020-05-22 02:36:51 | Unknown, Brazil | ||||
574248 | 574248 | 2020-06-06 | Brazil | Unknown | 0 | 0 | 277149 | 0 | 2020-06-07 03:53:30 | Unknown, Brazil | ||||
805545 | 805545 | 2020-06-01 | Brazil | Unknown | 0 | 0 | 211080 | 0 | 2020-06-02 02:33:08 | Unknown, Brazil | ||||
864420 | 864420 | 2020-01-23 | Brazil | 0 | 0 | 0 | 1/23/20 17:00 | |||||||
875702 | 875702 | 2020-05-24 | Brazil | Unknown | 0 | 0 | 149911 | 0 | 2020-05-25 02:32:44 | Unknown, Brazil | ||||
997893 | 997893 | 2020-05-23 | Brazil | Unknown | 0 | 0 | 142587 | 0 | 2020-05-24 02:32:43 | Unknown, Brazil | ||||
1041292 | 1041292 | 2020-05-26 | Brazil | Unknown | 0 | 0 | 158593 | 0 | 2020-05-27 02:32:31 | Unknown, Brazil | ||||
1105022 | 1105022 | 2020-05-25 | Brazil | Unknown | 0 | 0 | 153833 | 0 | 2020-05-26 02:32:35 | Unknown, Brazil | ||||
1269945 | 1269945 | 2020-06-05 | Brazil | Unknown | 0 | 0 | 266940 | 0 | 2020-06-06 02:33:00 | Unknown, Brazil | ||||
1281411 | 1281411 | 2020-06-04 | Brazil | Unknown | 0 | 0 | 254963 | 0 | 2020-06-05 02:33:06 | Unknown, Brazil | ||||
1432005 | 1432005 | 2020-05-20 | Brazil | Unknown | 0 | 0 | 116683 | 0 | 2020-05-21 02:32:48 | Unknown, Brazil | ||||
1790526 | 1790526 | 2020-05-29 | Brazil | Unknown | 0 | 0 | 189476 | 0 | 2020-05-30 02:32:48 | Unknown, Brazil | ||||
1794092 | 1794092 | 2020-05-31 | Brazil | Unknown | 0 | 0 | 206555 | 0 | 2020-06-01 02:32:46 | Unknown, Brazil | ||||
1864916 | 1864916 | 2020-05-22 | Brazil | Unknown | 0 | 0 | 135430 | 0 | 2020-05-23 02:32:42 | Unknown, Brazil | ||||
2548329 | 2548329 | 2020-05-27 | Brazil | Unknown | 0 | 0 | 166647 | 0 | 2020-05-28 02:32:31 | Unknown, Brazil | ||||
2556008 | 2556008 | 2020-06-02 | Brazil | Unknown | 0 | 0 | 223638 | 0 | 2020-06-03 02:33:13 | Unknown, Brazil | ||||
2712405 | 2712405 | 2020-05-28 | Brazil | Unknown | 0 | 0 | 177604 | 0 | 2020-05-29 02:32:50 | Unknown, Brazil | ||||
2800192 | 2800192 | 2020-06-07 | Brazil | Unknown | 0 | 0 | 283952 | 0 | 2020-06-08 03:33:22 | Unknown, Brazil | ||||
3638985 | 3638985 | 2020-05-30 | Brazil | Unknown | 0 | 0 | 200892 | 0 | 2020-05-31 02:32:45 | Unknown, Brazil | ||||
3866966 | 3866966 | 2020-06-03 | Brazil | Unknown | 0 | 0 | 238617 | 0 | 2020-06-04 02:33:14 | Unknown, Brazil | ||||
617469 | 617469 | 2020-02-27 | Brazil | 1 | 0 | 0 | 2020-02-26T23:53:02 | |||||||
2509823 | 2509823 | 2020-02-26 | Brazil | 1 | 0 | 0 | 2020-02-26T23:53:02 | |||||||
2883987 | 2883987 | 2020-02-28 | Brazil | 1 | 0 | 0 | 2020-02-26T23:53:02 | |||||||
261104 | 261104 | 2020-03-03 | Brazil | 2 | 0 | 0 | -14.235 | -51.9253 | 2020-02-29T21:03:05 | |||||
562577 | 562577 | 2020-03-01 | Brazil | 2 | 0 | 0 | -14.235 | -51.9253 | 2020-02-29T21:03:05 | |||||
1152720 | 1152720 | 2020-03-02 | Brazil | 2 | 0 | 0 | -14.235 | -51.9253 | 2020-02-29T21:03:05 | |||||
3205858 | 3205858 | 2020-02-29 | Brazil | 2 | 0 | 0 | 2020-02-29T21:03:05 | |||||||
40221 | 40221 | 2020-03-05 | Brazil | 4 | 0 | 0 | -14.235 | -51.9253 | 2020-03-04T20:33:02 | |||||
98887 | 98887 | 2020-03-04 | Brazil | 4 | 0 | 0 | -14.235 | -51.9253 | 2020-03-04T20:33:02 | |||||
62551 | 62551 | 2020-03-07 | Brazil | 13 | 0 | 0 | -14.235 | -51.9253 | 2020-03-06T20:33:03 | |||||
3177553 | 3177553 | 2020-03-06 | Brazil | 13 | 0 | 0 | -14.235 | -51.9253 | 2020-03-06T20:33:03 | |||||
1527274 | 1527274 | 2020-03-08 | Brazil | 20 | 0 | 0 | -14.235 | -51.9253 | 2020-03-08T17:23:07 | |||||
657755 | 657755 | 2020-03-09 | Brazil | 25 | 0 | 0 | -14.235 | -51.9253 | 2020-03-09T10:13:06 | |||||
3752887 | 3752887 | 2020-03-10 | Brazil | 31 | 0 | 0 | -14.235 | -51.9253 | 2020-03-10T16:53:13 | |||||
2127506 | 2127506 | 2020-03-11 | Brazil | 38 | 0 | 0 | -14.235 | -51.9253 | 2020-03-11T22:13:12 | |||||
2282929 | 2282929 | 2020-03-12 | Brazil | 52 | 0 | 0 | -14.235 | -51.9253 | 2020-03-12T01:33:03 | |||||
2111135 | 2111135 | 2020-03-14 | Brazil | 151 | 0 | 0 | -14.235 | -51.9253 | 2020-03-13T22:21:58 | |||||
3765358 | 3765358 | 2020-03-13 | Brazil | 151 | 0 | 0 | -14.235 | -51.9253 | 2020-03-11T20:00:00 | |||||
1463509 | 1463509 | 2020-03-15 | Brazil | 162 | 0 | 0 | -14.235 | -51.9253 | 2020-03-15T18:20:18 | |||||
2255159 | 2255159 | 2020-03-16 | Brazil | 200 | 0 | 1 | -14.235 | -51.9253 | 2020-03-16T02:33:08 | |||||
3891344 | 3891344 | 2020-03-17 | Brazil | 321 | 1 | 2 | -14.235 | -51.9253 | 2020-03-17T15:33:06 | |||||
1176912 | 1176912 | 2020-03-18 | Brazil | 372 | 3 | 2 | -14.235 | -51.9253 | 2020-03-18T19:14:29 | |||||
1526903 | 1526903 | 2020-03-19 | Brazil | 621 | 6 | 2 | -14.235 | -51.9253 | 2020-03-19T20:43:02 | |||||
1431911 | 1431911 | 2020-05-20 | Brazil | Mato Grosso do Sul | 693 | 17 | 0 | 676 | -20.7722 | -54.7852 | 2020-05-21 02:32:48 | Mato Grosso do Sul, Brazil | ||
268328 | 268328 | 2020-05-21 | Brazil | Mato Grosso do Sul | 746 | 17 | 0 | 729 | -20.7722 | -54.7852 | 2020-05-22 02:36:51 | Mato Grosso do Sul, Brazil | ||
3733948 | 3733948 | 2020-03-20 | Brazil | 793 | 11 | 2 | -14.235 | -51.9253 | 2020-03-20T20:13:16 | |||||
1864822 | 1864822 | 2020-05-22 | Brazil | Mato Grosso do Sul | 805 | 17 | 0 | 788 | -20.7722 | -54.7852 | 2020-05-23 02:32:42 | Mato Grosso do Sul, Brazil | ||
997799 | 997799 | 2020-05-23 | Brazil | Mato Grosso do Sul | 858 | 17 | 0 | 841 | -20.7722 | -54.7852 | 2020-05-24 02:32:43 | Mato Grosso do Sul, Brazil | ||
339646 | 339646 | 2020-03-21 | Brazil | 1021 | 15 | 2 | -14.235 | -51.9253 | 2020-03-21T17:43:03 | |||||
875608 | 875608 | 2020-05-24 | Brazil | Mato Grosso do Sul | 1023 | 17 | 0 | 907 | -20.7722 | -54.7852 | 2020-05-25 02:32:44 | Mato Grosso do Sul, Brazil | ||
1431910 | 1431910 | 2020-05-20 | Brazil | Mato Grosso | 1090 | 32 | 0 | 1022 | -12.6819 | -56.9211 | 2020-05-21 02:32:48 | Mato Grosso, Brazil | ||
1104928 | 1104928 | 2020-05-25 | Brazil | Mato Grosso do Sul | 1100 | 17 | 0 | 1006 | -20.7722 | -54.7852 | 2020-05-26 02:32:35 | Mato Grosso do Sul, Brazil | ||
1041198 | 1041198 | 2020-05-26 | Brazil | Mato Grosso do Sul | 1186 | 18 | 0 | 1083 | -20.7722 | -54.7852 | 2020-05-27 02:32:31 | Mato Grosso do Sul, Brazil | ||
268327 | 268327 | 2020-05-21 | Brazil | Mato Grosso | 1187 | 34 | 0 | 1138 | -12.6819 | -56.9211 | 2020-05-22 02:36:51 | Mato Grosso, Brazil | ||
2548235 | 2548235 | 2020-05-27 | Brazil | Mato Grosso do Sul | 1262 | 18 | 0 | 1168 | -20.7722 | -54.7852 | 2020-05-28 02:32:31 | Mato Grosso do Sul, Brazil | ||
1864821 | 1864821 | 2020-05-22 | Brazil | Mato Grosso | 1271 | 37 | 0 | 1183 | -12.6819 | -56.9211 | 2020-05-23 02:32:42 | 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 | ||
997798 | 997798 | 2020-05-23 | Brazil | Mato Grosso | 1363 | 37 | 0 | 1315 | -12.6819 | -56.9211 | 2020-05-24 02:32:43 | Mato Grosso, Brazil | ||
1790392 | 1790392 | 2020-05-29 | Brazil | Mato Grosso do Sul | 1418 | 19 | 0 | 1338 | -20.7722 | -54.7852 | 2020-05-30 02:32:48 | Mato Grosso do Sul, Brazil | ||
875607 | 875607 | 2020-05-24 | Brazil | Mato Grosso | 1464 | 40 | 0 | 1422 | -12.6819 | -56.9211 | 2020-05-25 02:32:44 | Mato Grosso, Brazil | ||
3638851 | 3638851 | 2020-05-30 | Brazil | Mato Grosso do Sul | 1489 | 20 | 0 | 1399 | -20.7722 | -54.7852 | 2020-05-31 02:32:45 | Mato Grosso do Sul, Brazil | ||
2910651 | 2910651 | 2020-03-22 | Brazil | 1546 | 25 | 2 | 1519 | -14.235 | -51.9253 | 3/22/20 23:45 | Brazil | |||
1793958 | 1793958 | 2020-05-31 | Brazil | Mato Grosso do Sul | 1568 | 20 | 0 | 1469 | -20.7722 | -54.7852 | 2020-06-01 02:32:46 | Mato Grosso do Sul, Brazil | ||
1104927 | 1104927 | 2020-05-25 | Brazil | Mato Grosso | 1594 | 42 | 0 | 1459 | -12.6819 | -56.9211 | 2020-05-26 02:32:35 | Mato Grosso, Brazil | ||
805369 | 805369 | 2020-06-01 | Brazil | Mato Grosso do Sul | 1646 | 20 | 0 | 1548 | -20.7722 | -54.7852 | 2020-06-02 02:33:08 | Mato Grosso do Sul, Brazil | ||
1041197 | 1041197 | 2020-05-26 | Brazil | Mato Grosso | 1744 | 43 | 0 | 1585 | -12.6819 | -56.9211 | 2020-05-27 02:32:31 | Mato Grosso, Brazil | ||
2555832 | 2555832 | 2020-06-02 | Brazil | Mato Grosso do Sul | 1802 | 20 | 0 | 1626 | -20.7722 | -54.7852 | 2020-06-03 02:33:13 | Mato Grosso do Sul, Brazil | ||
2548234 | 2548234 | 2020-05-27 | Brazil | Mato Grosso | 1909 | 47 | 0 | 1793 | -12.6819 | -56.9211 | 2020-05-28 02:32:31 | Mato Grosso, Brazil | ||
2147134 | 2147134 | 2020-03-23 | Brazil | 1924 | 34 | 2 | 1888 | -14.235 | -51.9253 | 2020-03-23 23:19:21 | Brazil | |||
3866790 | 3866790 | 2020-06-03 | Brazil | Mato Grosso do Sul | 1925 | 20 | 0 | 1782 | -20.7722 | -54.7852 | 2020-06-04 02:33:14 | Mato Grosso do Sul, Brazil | ||
1432001 | 1432001 | 2020-05-20 | Brazil | Tocantins | 1976 | 47 | 0 | 1767 | -10.1753 | -48.2982 | 2020-05-21 02:32:48 | Tocantins, Brazil | ||
1281235 | 1281235 | 2020-06-04 | Brazil | Mato Grosso do Sul | 1997 | 21 | 0 | 1905 | -20.7722 | -54.7852 | 2020-06-05 02:33:06 | Mato Grosso do Sul, Brazil | ||
1431869 | 1431869 | 2020-05-20 | Brazil | Goias | 2049 | 78 | 0 | 1900 | -15.827 | -49.8362 | 2020-05-21 02:32:48 | Goias, Brazil | ||
1431968 | 1431968 | 2020-05-20 | Brazil | Roraima | 2067 | 64 | 0 | 2003 | -2.7376 | -62.0751 | 2020-05-21 02:32:48 | Roraima, 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 | ||
1269763 | 1269763 | 2020-06-05 | Brazil | Mato Grosso do Sul | 2132 | 21 | 0 | 1976 | -20.7722 | -54.7852 | 2020-06-06 02:33:00 | Mato Grosso do Sul, Brazil | ||
268385 | 268385 | 2020-05-21 | Brazil | Roraima | 2146 | 72 | 0 | 2074 | -2.7376 | -62.0751 | 2020-05-22 02:36:51 | Roraima, Brazil | ||
268286 | 268286 | 2020-05-21 | Brazil | Goias | 2155 | 85 | 0 | 2029 | -15.827 | -49.8362 | 2020-05-22 02:36:51 | Goias, Brazil | ||
268418 | 268418 | 2020-05-21 | Brazil | Tocantins | 2205 | 49 | 0 | 1929 | -10.1753 | -48.2982 | 2020-05-22 02:36:51 | Tocantins, Brazil | ||
1479077 | 1479077 | 2020-03-24 | Brazil | 2247 | 46 | 2 | 2199 | -14.235 | -51.9253 | 2020-03-24 23:37:15 | Brazil | |||
574066 | 574066 | 2020-06-06 | Brazil | Mato Grosso do Sul | 2253 | 21 | 0 | 2111 | -20.7722 | -54.7852 | 2020-06-07 03:53:30 | Mato Grosso do Sul, Brazil | ||
1790391 | 1790391 | 2020-05-29 | Brazil | Mato Grosso | 2262 | 57 | 0 | 2047 | -12.6819 | -56.9211 | 2020-05-30 02:32:48 | Mato Grosso, Brazil | ||
1864879 | 1864879 | 2020-05-22 | Brazil | Roraima | 2306 | 83 | 0 | 2223 | -2.7376 | -62.0751 | 2020-05-23 02:32:42 | Roraima, Brazil | ||
2800010 | 2800010 | 2020-06-07 | Brazil | Mato Grosso do Sul | 2324 | 22 | 0 | 2232 | -20.7722 | -54.7852 | 2020-06-08 03:33:22 | Mato Grosso do Sul, Brazil | ||
1864780 | 1864780 | 2020-05-22 | Brazil | Goias | 2344 | 95 | 0 | 2211 | -15.827 | -49.8362 | 2020-05-23 02:32:42 | Goias, Brazil | ||
3638850 | 3638850 | 2020-05-30 | Brazil | Mato Grosso | 2413 | 58 | 0 | 2304 | -12.6819 | -56.9211 | 2020-05-31 02:32:45 | Mato Grosso, Brazil | ||
997889 | 997889 | 2020-05-23 | Brazil | Tocantins | 2430 | 51 | 0 | 2379 | -10.1753 | -48.2982 | 2020-05-24 02:32:43 | Tocantins, Brazil | ||
1864912 | 1864912 | 2020-05-22 | Brazil | Tocantins | 2430 | 51 | 0 | 2156 | -10.1753 | -48.2982 | 2020-05-23 02:32:42 | Tocantins, Brazil | ||
997757 | 997757 | 2020-05-23 | Brazil | Goias | 2435 | 95 | 0 | 2282 | -15.827 | -49.8362 | 2020-05-24 02:32:43 | Goias, Brazil | ||
875665 | 875665 | 2020-05-24 | Brazil | Roraima | 2439 | 84 | 0 | 2355 | -2.7376 | -62.0751 | 2020-05-25 02:32:44 | Roraima, Brazil | ||
997856 | 997856 | 2020-05-23 | Brazil | Roraima | 2439 | 81 | 0 | 2293 | -2.7376 | -62.0751 | 2020-05-24 02:32:43 | Roraima, Brazil | ||
217214 | 217214 | 2020-06-08 | Brazil | Mato Grosso do Sul | 2455 | 22 | 1190 | 1112 | -20.7722 | -54.7852 | 2020-06-09 03:33:03 | Mato Grosso do Sul, Brazil | ||
1793957 | 1793957 | 2020-05-31 | Brazil | Mato Grosso | 2485 | 63 | 0 | 2368 | -12.6819 | -56.9211 | 2020-06-01 02:32:46 | Mato Grosso, Brazil | ||
875566 | 875566 | 2020-05-24 | Brazil | Goias | 2488 | 95 | 0 | 2348 | -15.827 | -49.8362 | 2020-05-25 02:32:44 | Goias, Brazil | ||
1431967 | 1431967 | 2020-05-20 | Brazil | Rondonia | 2499 | 90 | 0 | 2409 | -11.5057 | -63.5806 | 2020-05-21 02:32:48 | Rondonia, Brazil | ||
1104886 | 1104886 | 2020-05-25 | Brazil | Goias | 2515 | 96 | 0 | 2416 | -15.827 | -49.8362 | 2020-05-26 02:32:35 | Goias, Brazil | ||
1132569 | 1132569 | 2020-03-25 | Brazil | 2554 | 59 | 2 | 2493 | -14.235 | -51.9253 | 2020-03-25 23:33:04 | Brazil | |||
1104985 | 1104985 | 2020-05-25 | Brazil | Roraima | 2564 | 86 | 0 | 2428 | -2.7376 | -62.0751 | 2020-05-26 02:32:35 | Roraima, Brazil | ||
1210787 | 1210787 | 2020-06-09 | Brazil | Mato Grosso do Sul | 2597 | 24 | 1227 | 1206 | -20.7722 | -54.7852 | 2020-06-10 04:07:00 | Mato Grosso do Sul, Brazil | ||
805368 | 805368 | 2020-06-01 | Brazil | Mato Grosso | 2636 | 67 | 0 | 2475 | -12.6819 | -56.9211 | 2020-06-02 02:33:08 | Mato Grosso, 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]);