johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
4,006,353 rows sorted by active
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1085752 | 1085752 | 2022-08-09 | Antigua and Barbuda | 8809 | 144 | 0 | 17.0608 | -61.7964 | 2022-08-10 04:20:57 | Antigua and Barbuda | ||||
1085753 | 1085753 | 2022-08-09 | Argentina | 9602534 | 129440 | 0 | -38.4161 | -63.6167 | 2022-08-10 04:20:57 | Argentina | ||||
1085754 | 1085754 | 2022-08-09 | Armenia | 428648 | 8637 | 0 | 40.0691 | 45.0382 | 2022-08-10 04:20:57 | Armenia | ||||
1085755 | 1085755 | 2022-08-09 | Australia | Australian Capital Territory | 196642 | 107 | 0 | -35.4735 | 149.0124 | 2022-08-10 04:20:57 | Australian Capital Territory, Australia | |||
1085756 | 1085756 | 2022-08-09 | Australia | New South Wales | 3301777 | 4417 | 0 | -33.8688 | 151.2093 | 2022-08-10 04:20:57 | New South Wales, Australia | |||
1085757 | 1085757 | 2022-08-09 | Australia | Northern Territory | 93124 | 57 | 0 | -12.4634 | 130.8456 | 2022-08-10 04:20:57 | Northern Territory, Australia | |||
1085758 | 1085758 | 2022-08-09 | Australia | Queensland | 1562443 | 1712 | 0 | -27.4698 | 153.0251 | 2022-08-10 04:20:57 | Queensland, Australia | |||
1085759 | 1085759 | 2022-08-09 | Australia | South Australia | 729945 | 723 | 0 | -34.9285 | 138.6007 | 2022-08-10 04:20:57 | South Australia, Australia | |||
1085760 | 1085760 | 2022-08-09 | Australia | Tasmania | 238296 | 160 | 0 | -42.8821 | 147.3272 | 2022-08-10 04:20:57 | Tasmania, Australia | |||
1085761 | 1085761 | 2022-08-09 | Australia | Victoria | 2492023 | 4846 | 0 | -37.8136 | 144.9631 | 2022-08-10 04:20:57 | Victoria, Australia | |||
1085762 | 1085762 | 2022-08-09 | Australia | Western Australia | 1095467 | 538 | 0 | -31.9505 | 115.8605 | 2022-08-10 04:20:57 | Western Australia, Australia | |||
1085763 | 1085763 | 2022-08-09 | Austria | 4842843 | 20441 | 0 | 47.5162 | 14.5501 | 2022-08-10 04:20:57 | Austria | ||||
1085764 | 1085764 | 2022-08-09 | Azerbaijan | 802060 | 9761 | 0 | 40.1431 | 47.5769 | 2022-08-10 04:20:57 | Azerbaijan | ||||
1085765 | 1085765 | 2022-08-09 | Bahamas | 36853 | 822 | 0 | 25.025885 | -78.035889 | 2022-08-10 04:20:57 | Bahamas | ||||
1085766 | 1085766 | 2022-08-09 | Bahrain | 663763 | 1512 | 0 | 26.0275 | 50.55 | 2022-08-10 04:20:57 | Bahrain | ||||
1085767 | 1085767 | 2022-08-09 | Bangladesh | 2007870 | 29308 | 0 | 23.685 | 90.3563 | 2022-08-10 04:20:57 | Bangladesh | ||||
1085768 | 1085768 | 2022-08-09 | Barbados | 95876 | 505 | 0 | 13.1939 | -59.5432 | 2022-08-10 04:20:57 | Barbados | ||||
1085769 | 1085769 | 2022-08-09 | Belarus | 994037 | 7118 | 0 | 53.7098 | 27.9534 | 2022-08-10 04:20:57 | Belarus | ||||
1085770 | 1085770 | 2022-08-09 | Belgium | Antwerp | 714811 | 0 | 0 | 51.2195 | 4.4024 | 2022-08-10 04:20:57 | Antwerp, Belgium | |||
1085771 | 1085771 | 2022-08-09 | Belgium | Brussels | 482574 | 0 | 0 | 50.8503 | 4.3517 | 2022-08-10 04:20:57 | Brussels, Belgium | |||
1085772 | 1085772 | 2022-08-09 | Belgium | East Flanders | 601641 | 0 | 0 | 51.0362 | 3.7373 | 2022-08-10 04:20:57 | East Flanders, Belgium | |||
1085773 | 1085773 | 2022-08-09 | Belgium | Flemish Brabant | 434075 | 0 | 0 | 50.9167 | 4.5833 | 2022-08-10 04:20:57 | Flemish Brabant, Belgium | |||
1085774 | 1085774 | 2022-08-09 | Belgium | Hainaut | 488608 | 0 | 0 | 50.5257 | 4.0621 | 2022-08-10 04:20:57 | Hainaut, Belgium | |||
1085775 | 1085775 | 2022-08-09 | Belgium | Liege | 397652 | 0 | 0 | 50.4496 | 5.8492 | 2022-08-10 04:20:57 | Liege, Belgium | |||
1085776 | 1085776 | 2022-08-09 | Belgium | Limburg | 327251 | 0 | 0 | 50.9739 | 5.342 | 2022-08-10 04:20:57 | Limburg, Belgium | |||
1085777 | 1085777 | 2022-08-09 | Belgium | Luxembourg | 114764 | 0 | 0 | 50.0547 | 5.4677 | 2022-08-10 04:20:57 | Luxembourg, Belgium | |||
1085778 | 1085778 | 2022-08-09 | Belgium | Namur | 189835 | 0 | 0 | 50.331 | 4.8221 | 2022-08-10 04:20:57 | Namur, Belgium | |||
1085779 | 1085779 | 2022-08-09 | Belgium | Unknown | 60218 | 32329 | 0 | 2022-08-10 04:20:57 | Unknown, Belgium | |||||
1085780 | 1085780 | 2022-08-09 | Belgium | Walloon Brabant | 163294 | 0 | 0 | 50.4 | 4.35 | 2022-08-10 04:20:57 | Walloon Brabant, Belgium | |||
1085781 | 1085781 | 2022-08-09 | Belgium | West Flanders | 470096 | 0 | 0 | 51.0536 | 3.1458 | 2022-08-10 04:20:57 | West Flanders, Belgium | |||
1085782 | 1085782 | 2022-08-09 | Belize | 67522 | 680 | 0 | 17.1899 | -88.4976 | 2022-08-10 04:20:57 | Belize | ||||
1085783 | 1085783 | 2022-08-09 | Benin | 27316 | 163 | 0 | 9.3077 | 2.3158 | 2022-08-10 04:20:57 | Benin | ||||
1085784 | 1085784 | 2022-08-09 | Bhutan | 60663 | 21 | 0 | 27.5142 | 90.4336 | 2022-08-10 04:20:57 | Bhutan | ||||
1085785 | 1085785 | 2022-08-09 | Bolivia | 1070521 | 22110 | 0 | -16.2902 | -63.5887 | 2022-08-10 04:20:57 | Bolivia | ||||
1085786 | 1085786 | 2022-08-09 | Bosnia and Herzegovina | 389308 | 15930 | 0 | 43.9159 | 17.6791 | 2022-08-10 04:20:57 | Bosnia and Herzegovina | ||||
1085787 | 1085787 | 2022-08-09 | Botswana | 325724 | 2772 | 0 | -22.3285 | 24.6849 | 2022-08-10 04:20:57 | Botswana | ||||
1085788 | 1085788 | 2022-08-09 | Brazil | Acre | 146570 | 2021 | 0 | -9.0238 | -70.812 | 2022-08-10 04:20:57 | Acre, Brazil | |||
1085789 | 1085789 | 2022-08-09 | Brazil | Alagoas | 319165 | 7093 | 0 | -9.5713 | -36.782 | 2022-08-10 04:20:57 | Alagoas, Brazil | |||
1085790 | 1085790 | 2022-08-09 | Brazil | Amapa | 177442 | 2153 | 0 | 0.902 | -52.003 | 2022-08-10 04:20:57 | Amapa, Brazil | |||
1085791 | 1085791 | 2022-08-09 | Brazil | Amazonas | 609241 | 14239 | 0 | -3.4168 | -65.8561 | 2022-08-10 04:20:57 | Amazonas, Brazil | |||
1085792 | 1085792 | 2022-08-09 | Brazil | Bahia | 1670148 | 30483 | 0 | -12.5797 | -41.7007 | 2022-08-10 04:20:57 | Bahia, Brazil | |||
1085793 | 1085793 | 2022-08-09 | Brazil | Ceara | 1368048 | 27474 | 0 | -5.4984 | -39.3206 | 2022-08-10 04:20:57 | Ceara, Brazil | |||
1085794 | 1085794 | 2022-08-09 | Brazil | Distrito Federal | 834397 | 11823 | 0 | -15.7998 | -47.8645 | 2022-08-10 04:20:57 | Distrito Federal, Brazil | |||
1085795 | 1085795 | 2022-08-09 | Brazil | Espirito Santo | 1209218 | 14734 | 0 | -19.1834 | -40.3089 | 2022-08-10 04:20:57 | Espirito Santo, Brazil | |||
1085796 | 1085796 | 2022-08-09 | Brazil | Goias | 1645904 | 27246 | 0 | -15.827 | -49.8362 | 2022-08-10 04:20:57 | Goias, Brazil | |||
1085797 | 1085797 | 2022-08-09 | Brazil | Maranhao | 464243 | 10956 | 0 | -4.9609 | -45.2744 | 2022-08-10 04:20:57 | Maranhao, Brazil | |||
1085798 | 1085798 | 2022-08-09 | Brazil | Mato Grosso | 818701 | 14897 | 0 | -12.6819 | -56.9211 | 2022-08-10 04:20:57 | Mato Grosso, Brazil | |||
1085799 | 1085799 | 2022-08-09 | Brazil | Mato Grosso do Sul | 569479 | 10747 | 0 | -20.7722 | -54.7852 | 2022-08-10 04:20:57 | Mato Grosso do Sul, Brazil | |||
1085800 | 1085800 | 2022-08-09 | Brazil | Minas Gerais | 3842061 | 63167 | 0 | -18.5122 | -44.555 | 2022-08-10 04:20:57 | Minas Gerais, Brazil | |||
1085801 | 1085801 | 2022-08-09 | Brazil | Para | 819373 | 18573 | 0 | -1.9981 | -54.9306 | 2022-08-10 04:20:57 | Para, Brazil | |||
1085802 | 1085802 | 2022-08-09 | Brazil | Paraiba | 647728 | 10376 | 0 | -7.24 | -36.782 | 2022-08-10 04:20:57 | Paraiba, Brazil | |||
1085803 | 1085803 | 2022-08-09 | Brazil | Parana | 2708972 | 44685 | 0 | -25.2521 | -52.0215 | 2022-08-10 04:20:57 | Parana, Brazil | |||
1085804 | 1085804 | 2022-08-09 | Brazil | Pernambuco | 1035996 | 22091 | 0 | -8.8137 | -36.9541 | 2022-08-10 04:20:57 | Pernambuco, Brazil | |||
1085805 | 1085805 | 2022-08-09 | Brazil | Piaui | 390965 | 7908 | 0 | -7.7183 | -42.7289 | 2022-08-10 04:20:57 | Piaui, Brazil | |||
1085806 | 1085806 | 2022-08-09 | Brazil | Rio Grande do Norte | 548379 | 8416 | 0 | -5.4026 | -36.9541 | 2022-08-10 04:20:57 | Rio Grande do Norte, Brazil | |||
1085807 | 1085807 | 2022-08-09 | Brazil | Rio Grande do Sul | 2667631 | 40570 | 0 | -30.0346 | -51.2177 | 2022-08-10 04:20:57 | Rio Grande do Sul, Brazil | |||
1085808 | 1085808 | 2022-08-09 | Brazil | Rio de Janeiro | 2462761 | 75089 | 0 | -22.9068 | -43.1729 | 2022-08-10 04:20:57 | Rio de Janeiro, Brazil | |||
1085809 | 1085809 | 2022-08-09 | Brazil | Rondonia | 449330 | 7327 | 0 | -11.5057 | -63.5806 | 2022-08-10 04:20:57 | Rondonia, Brazil | |||
1085810 | 1085810 | 2022-08-09 | Brazil | Roraima | 173610 | 2161 | 0 | -2.7376 | -62.0751 | 2022-08-10 04:20:57 | Roraima, Brazil | |||
1085811 | 1085811 | 2022-08-09 | Brazil | Santa Catarina | 1848333 | 22275 | 0 | -27.2423 | -50.2189 | 2022-08-10 04:20:57 | Santa Catarina, Brazil | |||
1085812 | 1085812 | 2022-08-09 | Brazil | Sao Paulo | 5955410 | 173418 | 0 | -23.5505 | -46.6333 | 2022-08-10 04:20:57 | Sao Paulo, Brazil | |||
1085813 | 1085813 | 2022-08-09 | Brazil | Sergipe | 341623 | 6420 | 0 | -10.5741 | -37.3857 | 2022-08-10 04:20:57 | Sergipe, Brazil | |||
1085814 | 1085814 | 2022-08-09 | Brazil | Tocantins | 341272 | 4189 | 0 | -10.1753 | -48.2982 | 2022-08-10 04:20:57 | Tocantins, Brazil | |||
1085815 | 1085815 | 2022-08-09 | Brunei | 215283 | 225 | 0 | 4.5353 | 114.7277 | 2022-08-10 04:20:57 | Brunei | ||||
1085816 | 1085816 | 2022-08-09 | Bulgaria | 1221519 | 37460 | 0 | 42.7339 | 25.4858 | 2022-08-10 04:20:57 | Bulgaria | ||||
1085817 | 1085817 | 2022-08-09 | Burkina Faso | 21128 | 387 | 0 | 12.2383 | -1.5616 | 2022-08-10 04:20:57 | Burkina Faso | ||||
1085818 | 1085818 | 2022-08-09 | Burma | 614240 | 19434 | 0 | 21.9162 | 95.956 | 2022-08-10 04:20:57 | Burma | ||||
1085819 | 1085819 | 2022-08-09 | Burundi | 47247 | 38 | 0 | -3.3731 | 29.9189 | 2022-08-10 04:20:57 | Burundi | ||||
1085820 | 1085820 | 2022-08-09 | Cabo Verde | 62221 | 410 | 0 | 16.5388 | -23.0418 | 2022-08-10 04:20:57 | Cabo Verde | ||||
1085821 | 1085821 | 2022-08-09 | Cambodia | 137081 | 3056 | 0 | 11.55 | 104.9167 | 2022-08-10 04:20:57 | Cambodia | ||||
1085822 | 1085822 | 2022-08-09 | Cameroon | 120215 | 1931 | 0 | 3.848 | 11.5021 | 2022-08-10 04:20:57 | Cameroon | ||||
1085823 | 1085823 | 2022-08-09 | Canada | Alberta | 596126 | 4673 | 0 | 53.9333 | -116.5765 | 2022-08-10 04:20:57 | Alberta, Canada | |||
1085824 | 1085824 | 2022-08-09 | Canada | British Columbia | 379274 | 3940 | 0 | 53.7267 | -127.6476 | 2022-08-10 04:20:57 | British Columbia, Canada | |||
1085825 | 1085825 | 2022-08-09 | Canada | Diamond Princess | 0 | 1 | 0 | 0.0 | 0.0 | 2020-12-21 13:27:30 | Diamond Princess, Canada | |||
1085826 | 1085826 | 2022-08-09 | Canada | Grand Princess | 13 | 0 | 0 | 37.6489 | 0.0 | 2020-12-21 13:27:30 | Grand Princess, Canada | |||
1085827 | 1085827 | 2022-08-09 | Canada | Manitoba | 146524 | 2067 | 0 | 53.7609 | -98.8139 | 2022-08-10 04:20:57 | Manitoba, Canada | |||
1085828 | 1085828 | 2022-08-09 | Canada | New Brunswick | 72226 | 447 | 0 | 46.5653 | -66.4619 | 2022-08-10 04:20:57 | New Brunswick, Canada | |||
1085829 | 1085829 | 2022-08-09 | Canada | Newfoundland and Labrador | 49748 | 207 | 0 | 53.1355 | -57.6604 | 2022-08-10 04:20:57 | Newfoundland and Labrador, Canada | |||
1085830 | 1085830 | 2022-08-09 | Canada | Northwest Territories | 11511 | 22 | 0 | 64.8255 | -124.8457 | 2022-08-10 04:20:57 | Northwest Territories,Canada | |||
1085831 | 1085831 | 2022-08-09 | Canada | Nova Scotia | 115417 | 468 | 0 | 44.682 | -63.7443 | 2022-08-10 04:20:57 | Nova Scotia, Canada | |||
1085832 | 1085832 | 2022-08-09 | Canada | Nunavut | 3531 | 7 | 0 | 70.2998 | -83.1076 | 2022-08-10 04:20:57 | Nunavut, Canada | |||
1085833 | 1085833 | 2022-08-09 | Canada | Ontario | 1395250 | 13770 | 0 | 51.2538 | -85.3232 | 2022-08-10 04:20:57 | Ontario, Canada | |||
1085834 | 1085834 | 2022-08-09 | Canada | Prince Edward Island | 48027 | 49 | 0 | 46.5107 | -63.4168 | 2022-08-10 04:20:57 | Prince Edward Island, Canada | |||
1085835 | 1085835 | 2022-08-09 | Canada | Quebec | 1157876 | 16069 | 0 | 52.9399 | -73.5491 | 2022-08-10 04:20:57 | Quebec, Canada | |||
1085836 | 1085836 | 2022-08-09 | Canada | Repatriated Travellers | 13 | 0 | 0 | 2022-08-10 04:20:57 | Repatriated Travellers, Canada | |||||
1085837 | 1085837 | 2022-08-09 | Canada | Saskatchewan | 140291 | 1438 | 0 | 52.9399 | -106.4509 | 2022-08-10 04:20:57 | Saskatchewan, Canada | |||
1085838 | 1085838 | 2022-08-09 | Canada | Yukon | 4758 | 30 | 0 | 64.2823 | -135.0 | 2022-08-10 04:20:57 | Yukon, Canada | |||
1085839 | 1085839 | 2022-08-09 | Central African Republic | 14781 | 113 | 0 | 6.6111 | 20.9394 | 2022-08-10 04:20:57 | Central African Republic | ||||
1085840 | 1085840 | 2022-08-09 | Chad | 7442 | 193 | 0 | 15.4542 | 18.7322 | 2022-08-10 04:20:57 | Chad | ||||
1085841 | 1085841 | 2022-08-09 | Chile | Antofagasta | 154879 | 1830 | 0 | -23.6509 | -70.3975 | 2022-08-10 04:20:57 | Antofagasta, Chile | |||
1085842 | 1085842 | 2022-08-09 | Chile | Araucania | 244766 | 2641 | 0 | -38.9489 | -72.3311 | 2022-08-10 04:20:57 | Araucania, Chile | |||
1085843 | 1085843 | 2022-08-09 | Chile | Arica y Parinacota | 67632 | 834 | 0 | -18.594 | -69.4785 | 2022-08-10 04:20:57 | Arica y Parinacota, Chile | |||
1085844 | 1085844 | 2022-08-09 | Chile | Atacama | 92963 | 649 | 0 | -27.5661 | -70.0503 | 2022-08-10 04:20:57 | Atacama, Chile | |||
1085845 | 1085845 | 2022-08-09 | Chile | Aysen | 29153 | 190 | 0 | -45.9864 | -73.7669 | 2022-08-10 04:20:57 | Aysen, Chile | |||
1085846 | 1085846 | 2022-08-09 | Chile | Biobio | 416791 | 4418 | 0 | -37.4464 | -72.1416 | 2022-08-10 04:20:57 | Biobio, Chile | |||
1085847 | 1085847 | 2022-08-09 | Chile | Coquimbo | 170944 | 1773 | 0 | -29.959 | -71.3389 | 2022-08-10 04:20:57 | Coquimbo, Chile | |||
1085848 | 1085848 | 2022-08-09 | Chile | Los Lagos | 212769 | 2375 | 0 | -41.9198 | -72.1416 | 2022-08-10 04:20:57 | Los Lagos, Chile | |||
1085849 | 1085849 | 2022-08-09 | Chile | Los Rios | 120928 | 1265 | 0 | -40.231 | -72.3311 | 2022-08-10 04:20:57 | Los Rios, Chile | |||
1085850 | 1085850 | 2022-08-09 | Chile | Magallanes | 59156 | 731 | 0 | -52.368 | -70.9863 | 2022-08-10 04:20:57 | Magallanes, Chile | |||
1085851 | 1085851 | 2022-08-09 | Chile | Maule | 281328 | 3033 | 0 | -35.5183 | -71.6885 | 2022-08-10 04:20:57 | Maule, Chile |
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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]);