johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
4,006,353 rows sorted by day descending
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These facets timed out: province_or_state, country_or_region
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1620044 | 1620044 | 2022-11-22 | Chile | Biobio | 481578 | 4634 | 0 | -37.4464 | -72.1416 | 2022-11-23 04:21:06 | Biobio, Chile | |||
1620045 | 1620045 | 2022-11-22 | Chile | Coquimbo | 195752 | 1872 | 0 | -29.959 | -71.3389 | 2022-11-23 04:21:06 | Coquimbo, Chile | |||
1620046 | 1620046 | 2022-11-22 | Chile | Los Lagos | 232379 | 2472 | 0 | -41.9198 | -72.1416 | 2022-11-23 04:21:06 | Los Lagos, Chile | |||
1620047 | 1620047 | 2022-11-22 | Chile | Los Rios | 138688 | 1344 | 0 | -40.231 | -72.3311 | 2022-11-23 04:21:06 | Los Rios, Chile | |||
1620048 | 1620048 | 2022-11-22 | Chile | Magallanes | 64480 | 755 | 0 | -52.368 | -70.9863 | 2022-11-23 04:21:06 | Magallanes, Chile | |||
1620049 | 1620049 | 2022-11-22 | Chile | Maule | 328999 | 3209 | 0 | -35.5183 | -71.6885 | 2022-11-23 04:21:06 | Maule, Chile | |||
1620050 | 1620050 | 2022-11-22 | Chile | Metropolitana | 1855618 | 30125 | 0 | -33.4376 | -70.6505 | 2022-11-23 04:21:06 | Metropolitana, Chile | |||
1620051 | 1620051 | 2022-11-22 | Chile | Nuble | 146899 | 1244 | 0 | -36.7226 | -71.7622 | 2022-11-23 04:21:06 | Nuble, Chile | |||
1620052 | 1620052 | 2022-11-22 | Chile | OHiggins | 208349 | 2735 | 0 | -34.5755 | -71.0022 | 2022-11-23 04:21:06 | OHiggins, Chile | |||
1620053 | 1620053 | 2022-11-22 | Chile | Tarapaca | 105414 | 1150 | 0 | -19.9232 | -69.5132 | 2022-11-23 04:21:06 | Tarapaca, Chile | |||
1620054 | 1620054 | 2022-11-22 | Chile | Unknown | 42 | 2 | 0 | 2022-11-23 04:21:06 | Unknown, Chile | |||||
1620055 | 1620055 | 2022-11-22 | Chile | Valparaiso | 458615 | 6220 | 0 | -33.0472 | -71.6127 | 2022-11-23 04:21:06 | Valparaiso, Chile | |||
1620056 | 1620056 | 2022-11-22 | China | Anhui | 1568 | 6 | 0 | 31.8257 | 117.2264 | 2022-11-23 04:21:06 | Anhui, China | |||
1620057 | 1620057 | 2022-11-22 | China | Beijing | 7405 | 12 | 0 | 40.1824 | 116.4142 | 2022-11-23 04:21:06 | Beijing, China | |||
1620058 | 1620058 | 2022-11-22 | China | Chongqing | 4138 | 6 | 0 | 30.0572 | 107.874 | 2022-11-23 04:21:06 | Chongqing, China | |||
1620059 | 1620059 | 2022-11-22 | China | Fujian | 5674 | 1 | 0 | 26.0789 | 117.9874 | 2022-11-23 04:21:06 | Fujian, China | |||
1620060 | 1620060 | 2022-11-22 | China | Gansu | 1515 | 2 | 0 | 35.7518 | 104.2861 | 2022-11-23 04:21:06 | Gansu, China | |||
1620061 | 1620061 | 2022-11-22 | China | Guangdong | 26406 | 8 | 0 | 23.3417 | 113.4244 | 2022-11-23 04:21:06 | Guangdong, China | |||
1620062 | 1620062 | 2022-11-22 | China | Guangxi | 2360 | 2 | 0 | 23.8298 | 108.7881 | 2022-11-23 04:21:06 | Guangxi, China | |||
1620063 | 1620063 | 2022-11-22 | China | Guizhou | 1082 | 2 | 0 | 26.8154 | 106.8748 | 2022-11-23 04:21:06 | Guizhou, China | |||
1620064 | 1620064 | 2022-11-22 | China | Hainan | 9015 | 6 | 0 | 19.1959 | 109.7453 | 2022-11-23 04:21:06 | Hainan, China | |||
1620065 | 1620065 | 2022-11-22 | China | Hebei | 2073 | 7 | 0 | 37.8957 | 114.9042 | 2022-11-23 04:21:06 | Hebei, China | |||
1620066 | 1620066 | 2022-11-22 | China | Heilongjiang | 3742 | 13 | 0 | 47.862 | 127.7615 | 2022-11-23 04:21:06 | Heilongjiang, China | |||
1620067 | 1620067 | 2022-11-22 | China | Henan | 6054 | 23 | 0 | 33.882 | 113.614 | 2022-11-23 04:21:06 | Henan, China | |||
1620068 | 1620068 | 2022-11-22 | China | Hong Kong | 2051106 | 10623 | 0 | 22.3 | 114.2 | 2022-11-23 04:21:06 | Hong Kong, China | |||
1620069 | 1620069 | 2022-11-22 | China | Hubei | 68493 | 4512 | 0 | 30.9756 | 112.2707 | 2022-11-23 04:21:06 | Hubei, China | |||
1620070 | 1620070 | 2022-11-22 | China | Hunan | 1896 | 4 | 0 | 27.6104 | 111.7088 | 2022-11-23 04:21:06 | Hunan, China | |||
1620071 | 1620071 | 2022-11-22 | China | Inner Mongolia | 6868 | 1 | 0 | 44.0935 | 113.9448 | 2022-11-23 04:21:06 | Inner Mongolia, China | |||
1620072 | 1620072 | 2022-11-22 | China | Jiangsu | 3104 | 0 | 0 | 32.9711 | 119.455 | 2022-11-23 04:21:06 | Jiangsu, China | |||
1620073 | 1620073 | 2022-11-22 | China | Jiangxi | 1511 | 1 | 0 | 27.614 | 115.7221 | 2022-11-23 04:21:06 | Jiangxi, China | |||
1620074 | 1620074 | 2022-11-22 | China | Jilin | 40336 | 5 | 0 | 43.6661 | 126.1923 | 2022-11-23 04:21:06 | Jilin, China | |||
1620075 | 1620075 | 2022-11-22 | China | Liaoning | 2155 | 2 | 0 | 41.2956 | 122.6085 | 2022-11-23 04:21:06 | Liaoning, China | |||
1620076 | 1620076 | 2022-11-22 | China | Macau | 796 | 6 | 0 | 22.1667 | 113.55 | 2022-11-23 04:21:06 | Macau, China | |||
1620077 | 1620077 | 2022-11-22 | China | Ningxia | 226 | 0 | 0 | 37.2692 | 106.1655 | 2022-11-23 04:21:06 | Ningxia, China | |||
1620078 | 1620078 | 2022-11-22 | China | Qinghai | 368 | 0 | 0 | 35.7452 | 95.9956 | 2022-11-23 04:21:06 | Qinghai, China | |||
1620079 | 1620079 | 2022-11-22 | China | Shaanxi | 4709 | 3 | 0 | 35.1917 | 108.8701 | 2022-11-23 04:21:06 | Shaanxi, China | |||
1620080 | 1620080 | 2022-11-22 | China | Shandong | 3418 | 7 | 0 | 36.3427 | 118.1498 | 2022-11-23 04:21:06 | Shandong, China | |||
1620081 | 1620081 | 2022-11-22 | China | Shanghai | 64422 | 595 | 0 | 31.202 | 121.4491 | 2022-11-23 04:21:06 | Shanghai, China | |||
1620082 | 1620082 | 2022-11-22 | China | Shanxi | 2469 | 0 | 0 | 37.5777 | 112.2922 | 2022-11-23 04:21:06 | Shanxi, China | |||
1620083 | 1620083 | 2022-11-22 | China | Sichuan | 7888 | 4 | 0 | 30.6171 | 102.7103 | 2022-11-23 04:21:06 | Sichuan, China | |||
1620084 | 1620084 | 2022-11-22 | China | Tianjin | 2570 | 3 | 0 | 39.3054 | 117.323 | 2022-11-23 04:21:06 | Tianjin, China | |||
1620085 | 1620085 | 2022-11-22 | China | Tibet | 1498 | 0 | 0 | 31.6927 | 88.0924 | 2022-11-23 04:21:06 | Tibet, China | |||
1620086 | 1620086 | 2022-11-22 | China | Unknown | 1029140 | 0 | 0 | 2022-11-23 04:21:06 | Unknown, China | |||||
1620087 | 1620087 | 2022-11-22 | China | Xinjiang | 2377 | 3 | 0 | 41.1129 | 85.2401 | 2022-11-23 04:21:06 | Xinjiang, China | |||
1620088 | 1620088 | 2022-11-22 | China | Yunnan | 3305 | 2 | 0 | 24.974 | 101.487 | 2022-11-23 04:21:06 | Yunnan, China | |||
1620089 | 1620089 | 2022-11-22 | China | Zhejiang | 3820 | 1 | 0 | 29.1832 | 120.0934 | 2022-11-23 04:21:06 | Zhejiang, China | |||
1620090 | 1620090 | 2022-11-22 | Colombia | Amazonas | 7824 | 265 | 0 | -1.4429 | -71.5724 | 2022-11-23 04:21:06 | Amazonas, Colombia | |||
1620091 | 1620091 | 2022-11-22 | Colombia | Antioquia | 943966 | 18509 | 0 | 7.1986 | -75.3412 | 2022-11-23 04:21:06 | Antioquia, Colombia | |||
1620092 | 1620092 | 2022-11-22 | Colombia | Arauca | 17020 | 559 | 0 | 7.0762 | -70.7105 | 2022-11-23 04:21:06 | Arauca, Colombia | |||
1620093 | 1620093 | 2022-11-22 | Colombia | Atlantico | 416696 | 10207 | 0 | 10.6966 | -74.8741 | 2022-11-23 04:21:06 | Atlantico, Colombia | |||
1620094 | 1620094 | 2022-11-22 | Colombia | Bolivar | 202925 | 3266 | 0 | 8.6704 | -74.03 | 2022-11-23 04:21:06 | Bolivar, Colombia | |||
1620095 | 1620095 | 2022-11-22 | Colombia | Boyaca | 129336 | 2869 | 0 | 5.4545 | -73.362 | 2022-11-23 04:21:06 | Boyaca, Colombia | |||
1620096 | 1620096 | 2022-11-22 | Colombia | Caldas | 119336 | 2563 | 0 | 5.2983 | -75.2479 | 2022-11-23 04:21:06 | Caldas, Colombia | |||
1620097 | 1620097 | 2022-11-22 | Colombia | Capital District | 1855445 | 29852 | 0 | 4.711 | -74.0721 | 2022-11-23 04:21:06 | Capital District, Colombia | |||
1620098 | 1620098 | 2022-11-22 | Colombia | Caqueta | 25592 | 1041 | 0 | 0.8699 | -73.8419 | 2022-11-23 04:21:06 | Caqueta, Colombia | |||
1620099 | 1620099 | 2022-11-22 | Colombia | Casanare | 42864 | 1025 | 0 | 5.7589 | -71.5724 | 2022-11-23 04:21:06 | Casanare, Colombia | |||
1620100 | 1620100 | 2022-11-22 | Colombia | Cauca | 76188 | 1847 | 0 | 2.705 | -76.826 | 2022-11-23 04:21:06 | Cauca, Colombia | |||
1620101 | 1620101 | 2022-11-22 | Colombia | Cesar | 108961 | 2685 | 0 | 9.3373 | -73.6536 | 2022-11-23 04:21:06 | Cesar, Colombia | |||
1620102 | 1620102 | 2022-11-22 | Colombia | Choco | 18833 | 429 | 0 | 5.2528 | -76.826 | 2022-11-23 04:21:06 | Choco, Colombia | |||
1620103 | 1620103 | 2022-11-22 | Colombia | Cordoba | 122090 | 3951 | 0 | 8.0493 | -75.574 | 2022-11-23 04:21:06 | Cordoba, Colombia | |||
1620104 | 1620104 | 2022-11-22 | Colombia | Cundinamarca | 327856 | 7367 | 0 | 5.026 | -74.03 | 2022-11-23 04:21:06 | Cundinamarca, Colombia | |||
1620105 | 1620105 | 2022-11-22 | Colombia | Guainia | 2792 | 37 | 0 | 2.5854 | -68.5247 | 2022-11-23 04:21:06 | Guainia, Colombia | |||
1620106 | 1620106 | 2022-11-22 | Colombia | Guaviare | 5658 | 105 | 0 | 1.0654 | -73.2603 | 2022-11-23 04:21:06 | Guaviare, Colombia | |||
1620107 | 1620107 | 2022-11-22 | Colombia | Huila | 103021 | 3582 | 0 | 2.5359 | -75.5277 | 2022-11-23 04:21:06 | Huila, Colombia | |||
1620108 | 1620108 | 2022-11-22 | Colombia | La Guajira | 57918 | 1543 | 0 | 11.3548 | -72.5205 | 2022-11-23 04:21:06 | La Guajira, Colombia | |||
1620109 | 1620109 | 2022-11-22 | Colombia | Magdalena | 117551 | 3652 | 0 | 10.4113 | -74.4057 | 2022-11-23 04:21:06 | Magdalena, Colombia | |||
1620110 | 1620110 | 2022-11-22 | Colombia | Meta | 107421 | 2597 | 0 | 3.272 | -73.0877 | 2022-11-23 04:21:06 | Meta, Colombia | |||
1620111 | 1620111 | 2022-11-22 | Colombia | Narino | 107695 | 3386 | 0 | 1.2892 | -77.3579 | 2022-11-23 04:21:06 | Narino, Colombia | |||
1620112 | 1620112 | 2022-11-22 | Colombia | Norte de Santander | 124402 | 5176 | 0 | 7.9463 | -72.8988 | 2022-11-23 04:21:06 | Norte de Santander, Colombia | |||
1620113 | 1620113 | 2022-11-22 | Colombia | Putumayo | 21789 | 788 | 0 | 0.436 | -75.5277 | 2022-11-23 04:21:06 | Putumayo, Colombia | |||
1620114 | 1620114 | 2022-11-22 | Colombia | Quindio | 72715 | 2076 | 0 | 4.461 | -75.6674 | 2022-11-23 04:21:06 | Quindio, Colombia | |||
1620115 | 1620115 | 2022-11-22 | Colombia | Risaralda | 109497 | 2499 | 0 | 5.3158 | -75.9928 | 2022-11-23 04:21:06 | Risaralda, Colombia | |||
1620116 | 1620116 | 2022-11-22 | Colombia | San Andres y Providencia | 10335 | 156 | 0 | 12.5567 | -81.7185 | 2022-11-23 04:21:06 | San Andres y Providencia, Colombia | |||
1620117 | 1620117 | 2022-11-22 | Colombia | Santander | 293509 | 8305 | 0 | 6.6437 | -73.6536 | 2022-11-23 04:21:06 | Santander, Colombia | |||
1620118 | 1620118 | 2022-11-22 | Colombia | Sucre | 66944 | 1741 | 0 | 8.814 | -74.7233 | 2022-11-23 04:21:06 | Sucre, Colombia | |||
1620119 | 1620119 | 2022-11-22 | Colombia | Tolima | 126906 | 4078 | 0 | 4.0925 | -75.1545 | 2022-11-23 04:21:06 | Tolima, Colombia | |||
1620120 | 1620120 | 2022-11-22 | Colombia | Unknown | 0 | 300 | 0 | 2022-11-23 04:21:06 | Unknown, Colombia | |||||
1620121 | 1620121 | 2022-11-22 | Colombia | Valle del Cauca | 564150 | 15339 | 0 | 3.8009 | -76.6413 | 2022-11-23 04:21:06 | Valle del Cauca, Colombia | |||
1620122 | 1620122 | 2022-11-22 | Colombia | Vaupes | 1953 | 22 | 0 | 0.8554 | -70.812 | 2022-11-23 04:21:06 | Vaupes, Colombia | |||
1620123 | 1620123 | 2022-11-22 | Colombia | Vichada | 3469 | 64 | 0 | 4.4234 | -69.2878 | 2022-11-23 04:21:06 | Vichada, Colombia | |||
1620124 | 1620124 | 2022-11-22 | Comoros | 8941 | 161 | 0 | -11.6455 | 43.3333 | 2022-11-23 04:21:06 | Comoros | ||||
1620125 | 1620125 | 2022-11-22 | Congo (Brazzaville) | 25375 | 386 | 0 | -0.228 | 15.8277 | 2022-11-23 04:21:06 | Congo (Brazzaville) | ||||
1620126 | 1620126 | 2022-11-22 | Congo (Kinshasa) | 93837 | 1452 | 0 | -4.0383 | 21.7587 | 2022-11-23 04:21:06 | Congo (Kinshasa) | ||||
1620127 | 1620127 | 2022-11-22 | Costa Rica | 1143597 | 9031 | 0 | 9.7489 | -83.7534 | 2022-11-23 04:21:06 | Costa Rica | ||||
1620128 | 1620128 | 2022-11-22 | Cote d'Ivoire | 87881 | 830 | 0 | 7.54 | -5.5471 | 2022-11-23 04:21:06 | Cote d'Ivoire | ||||
1620129 | 1620129 | 2022-11-22 | Croatia | 1251655 | 17268 | 0 | 45.1 | 15.2 | 2022-11-23 04:21:06 | Croatia | ||||
1620130 | 1620130 | 2022-11-22 | Cuba | 1111345 | 8530 | 0 | 21.521757 | -77.781167 | 2022-11-23 04:21:06 | Cuba | ||||
1620131 | 1620131 | 2022-11-22 | Cyprus | 610023 | 1218 | 0 | 35.1264 | 33.4299 | 2022-11-23 04:21:06 | Cyprus | ||||
1620132 | 1620132 | 2022-11-22 | Czechia | 4530396 | 41772 | 0 | 49.8175 | 15.473 | 2022-11-23 04:21:06 | Czechia | ||||
1620133 | 1620133 | 2022-11-22 | Denmark | Faroe Islands | 34658 | 28 | 0 | 61.8926 | -6.9118 | 2022-11-23 04:21:06 | Faroe Islands, Denmark | |||
1620134 | 1620134 | 2022-11-22 | Denmark | Greenland | 11971 | 21 | 0 | 71.7069 | -42.6043 | 2022-11-23 04:21:06 | Greenland, Denmark | |||
1620135 | 1620135 | 2022-11-22 | Denmark | 3347582 | 7496 | 0 | 56.2639 | 9.5018 | 2022-11-23 04:21:06 | Denmark | ||||
1620136 | 1620136 | 2022-11-22 | Diamond Princess | 712 | 13 | 0 | 2022-11-23 04:21:06 | Diamond Princess | ||||||
1620137 | 1620137 | 2022-11-22 | Djibouti | 15690 | 189 | 0 | 11.8251 | 42.5903 | 2022-11-23 04:21:06 | Djibouti | ||||
1620138 | 1620138 | 2022-11-22 | Dominica | 15760 | 74 | 0 | 15.415 | -61.371 | 2022-11-23 04:21:06 | Dominica | ||||
1620139 | 1620139 | 2022-11-22 | Dominican Republic | 648456 | 4384 | 0 | 18.7357 | -70.1627 | 2022-11-23 04:21:06 | Dominican Republic | ||||
1620140 | 1620140 | 2022-11-22 | Ecuador | 1009958 | 35940 | 0 | -1.8312 | -78.1834 | 2022-11-23 04:21:06 | Ecuador | ||||
1620141 | 1620141 | 2022-11-22 | Egypt | 515645 | 24798 | 0 | 26.820553 | 30.802498 | 2022-11-23 04:21:06 | Egypt | ||||
1620142 | 1620142 | 2022-11-22 | El Salvador | 201785 | 4230 | 0 | 13.7942 | -88.8965 | 2022-11-23 04:21:06 | El Salvador | ||||
1620143 | 1620143 | 2022-11-22 | Equatorial Guinea | 17182 | 183 | 0 | 1.6508 | 10.2679 | 2022-11-23 04:21:06 | Equatorial Guinea |
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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]);