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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1619944 | 1619944 | 2022-11-22 | Afghanistan | 205324 | 7833 | 0 | 33.93911 | 67.709953 | 2022-11-23 04:21:06 | Afghanistan | ||||
1619945 | 1619945 | 2022-11-22 | Albania | 333282 | 3594 | 0 | 41.1533 | 20.1683 | 2022-11-23 04:21:06 | Albania | ||||
1619946 | 1619946 | 2022-11-22 | Algeria | 271035 | 6881 | 0 | 28.0339 | 1.6596 | 2022-11-23 04:21:06 | Algeria | ||||
1619947 | 1619947 | 2022-11-22 | Andorra | 46824 | 156 | 0 | 42.5063 | 1.5218 | 2022-11-23 04:21:06 | Andorra | ||||
1619948 | 1619948 | 2022-11-22 | Angola | 103131 | 1917 | 0 | -11.2027 | 17.8739 | 2022-11-23 04:21:06 | Angola | ||||
1619949 | 1619949 | 2022-11-22 | Antarctica | 11 | 0 | 0 | -71.9499 | 23.347 | 2022-11-23 04:21:06 | Antarctica | ||||
1619950 | 1619950 | 2022-11-22 | Antigua and Barbuda | 9106 | 146 | 0 | 17.0608 | -61.7964 | 2022-11-23 04:21:06 | Antigua and Barbuda | ||||
1619951 | 1619951 | 2022-11-22 | Argentina | 9723924 | 130017 | 0 | -38.4161 | -63.6167 | 2022-11-23 04:21:06 | Argentina | ||||
1619952 | 1619952 | 2022-11-22 | Armenia | 445631 | 8709 | 0 | 40.0691 | 45.0382 | 2022-11-23 04:21:06 | Armenia | ||||
1619953 | 1619953 | 2022-11-22 | Australia | Australian Capital Territory | 212092 | 129 | 0 | -35.4735 | 149.0124 | 2022-11-23 04:21:06 | Australian Capital Territory, Australia | |||
1619954 | 1619954 | 2022-11-22 | Australia | New South Wales | 3608974 | 5515 | 0 | -33.8688 | 151.2093 | 2022-11-23 04:21:06 | New South Wales, Australia | |||
1619955 | 1619955 | 2022-11-22 | Australia | Northern Territory | 99410 | 79 | 0 | -12.4634 | 130.8456 | 2022-11-23 04:21:06 | Northern Territory, Australia | |||
1619956 | 1619956 | 2022-11-22 | Australia | Queensland | 1683096 | 2317 | 0 | -27.4698 | 153.0251 | 2022-11-23 04:21:06 | Queensland, Australia | |||
1619957 | 1619957 | 2022-11-22 | Australia | South Australia | 800347 | 1060 | 0 | -34.9285 | 138.6007 | 2022-11-23 04:21:06 | South Australia, Australia | |||
1619958 | 1619958 | 2022-11-22 | Australia | Tasmania | 258301 | 201 | 0 | -42.8821 | 147.3272 | 2022-11-23 04:21:06 | Tasmania, Australia | |||
1619959 | 1619959 | 2022-11-22 | Australia | Victoria | 2707003 | 5978 | 0 | -37.8136 | 144.9631 | 2022-11-23 04:21:06 | Victoria, Australia | |||
1619960 | 1619960 | 2022-11-22 | Australia | Western Australia | 1198725 | 735 | 0 | -31.9505 | 115.8605 | 2022-11-23 04:21:06 | Western Australia, Australia | |||
1619961 | 1619961 | 2022-11-22 | Austria | 5524683 | 21149 | 0 | 47.5162 | 14.5501 | 2022-11-23 04:21:06 | Austria | ||||
1619962 | 1619962 | 2022-11-22 | Azerbaijan | 824033 | 9975 | 0 | 40.1431 | 47.5769 | 2022-11-23 04:21:06 | Azerbaijan | ||||
1619963 | 1619963 | 2022-11-22 | Bahamas | 37461 | 833 | 0 | 25.025885 | -78.035889 | 2022-11-23 04:21:06 | Bahamas | ||||
1619964 | 1619964 | 2022-11-22 | Bahrain | 695279 | 1535 | 0 | 26.0275 | 50.55 | 2022-11-23 04:21:06 | Bahrain | ||||
1619965 | 1619965 | 2022-11-22 | Bangladesh | 2036416 | 29431 | 0 | 23.685 | 90.3563 | 2022-11-23 04:21:06 | Bangladesh | ||||
1619966 | 1619966 | 2022-11-22 | Barbados | 103545 | 564 | 0 | 13.1939 | -59.5432 | 2022-11-23 04:21:06 | Barbados | ||||
1619967 | 1619967 | 2022-11-22 | Belarus | 994037 | 7118 | 0 | 53.7098 | 27.9534 | 2022-11-23 04:21:06 | Belarus | ||||
1619968 | 1619968 | 2022-11-22 | Belgium | Antwerp | 746467 | 0 | 0 | 51.2195 | 4.4024 | 2022-11-23 04:21:06 | Antwerp, Belgium | |||
1619969 | 1619969 | 2022-11-22 | Belgium | Brussels | 497416 | 0 | 0 | 50.8503 | 4.3517 | 2022-11-23 04:21:06 | Brussels, Belgium | |||
1619970 | 1619970 | 2022-11-22 | Belgium | East Flanders | 626720 | 0 | 0 | 51.0362 | 3.7373 | 2022-11-23 04:21:06 | East Flanders, Belgium | |||
1619971 | 1619971 | 2022-11-22 | Belgium | Flemish Brabant | 452751 | 0 | 0 | 50.9167 | 4.5833 | 2022-11-23 04:21:06 | Flemish Brabant, Belgium | |||
1619972 | 1619972 | 2022-11-22 | Belgium | Hainaut | 508589 | 0 | 0 | 50.5257 | 4.0621 | 2022-11-23 04:21:06 | Hainaut, Belgium | |||
1619973 | 1619973 | 2022-11-22 | Belgium | Liege | 412621 | 0 | 0 | 50.4496 | 5.8492 | 2022-11-23 04:21:06 | Liege, Belgium | |||
1619974 | 1619974 | 2022-11-22 | Belgium | Limburg | 342560 | 0 | 0 | 50.9739 | 5.342 | 2022-11-23 04:21:06 | Limburg, Belgium | |||
1619975 | 1619975 | 2022-11-22 | Belgium | Luxembourg | 121029 | 0 | 0 | 50.0547 | 5.4677 | 2022-11-23 04:21:06 | Luxembourg, Belgium | |||
1619976 | 1619976 | 2022-11-22 | Belgium | Namur | 199251 | 0 | 0 | 50.331 | 4.8221 | 2022-11-23 04:21:06 | Namur, Belgium | |||
1619977 | 1619977 | 2022-11-22 | Belgium | Unknown | 62203 | 33027 | 0 | 2022-11-23 04:21:06 | Unknown, Belgium | |||||
1619978 | 1619978 | 2022-11-22 | Belgium | Walloon Brabant | 170388 | 0 | 0 | 50.4 | 4.35 | 2022-11-23 04:21:06 | Walloon Brabant, Belgium | |||
1619979 | 1619979 | 2022-11-22 | Belgium | West Flanders | 489557 | 0 | 0 | 51.0536 | 3.1458 | 2022-11-23 04:21:06 | West Flanders, Belgium | |||
1619980 | 1619980 | 2022-11-22 | Belize | 69012 | 688 | 0 | 17.1899 | -88.4976 | 2022-11-23 04:21:06 | Belize | ||||
1619981 | 1619981 | 2022-11-22 | Benin | 27922 | 163 | 0 | 9.3077 | 2.3158 | 2022-11-23 04:21:06 | Benin | ||||
1619982 | 1619982 | 2022-11-22 | Bhutan | 62488 | 21 | 0 | 27.5142 | 90.4336 | 2022-11-23 04:21:06 | Bhutan | ||||
1619983 | 1619983 | 2022-11-22 | Bolivia | 1110256 | 22244 | 0 | -16.2902 | -63.5887 | 2022-11-23 04:21:06 | Bolivia | ||||
1619984 | 1619984 | 2022-11-22 | Bosnia and Herzegovina | 400412 | 16197 | 0 | 43.9159 | 17.6791 | 2022-11-23 04:21:06 | Bosnia and Herzegovina | ||||
1619985 | 1619985 | 2022-11-22 | Botswana | 326344 | 2790 | 0 | -22.3285 | 24.6849 | 2022-11-23 04:21:06 | Botswana | ||||
1619986 | 1619986 | 2022-11-22 | Brazil | Acre | 152966 | 2029 | 0 | -9.0238 | -70.812 | 2022-11-23 04:21:06 | Acre, Brazil | |||
1619987 | 1619987 | 2022-11-22 | Brazil | Alagoas | 322621 | 7137 | 0 | -9.5713 | -36.782 | 2022-11-23 04:21:06 | Alagoas, Brazil | |||
1619988 | 1619988 | 2022-11-22 | Brazil | Amapa | 180171 | 2165 | 0 | 0.902 | -52.003 | 2022-11-23 04:21:06 | Amapa, Brazil | |||
1619989 | 1619989 | 2022-11-22 | Brazil | Amazonas | 622593 | 14385 | 0 | -3.4168 | -65.8561 | 2022-11-23 04:21:06 | Amazonas, Brazil | |||
1619990 | 1619990 | 2022-11-22 | Brazil | Bahia | 1709861 | 30816 | 0 | -12.5797 | -41.7007 | 2022-11-23 04:21:06 | Bahia, Brazil | |||
1619991 | 1619991 | 2022-11-22 | Brazil | Ceara | 1390807 | 28016 | 0 | -5.4984 | -39.3206 | 2022-11-23 04:21:06 | Ceara, Brazil | |||
1619992 | 1619992 | 2022-11-22 | Brazil | Distrito Federal | 848144 | 11833 | 0 | -15.7998 | -47.8645 | 2022-11-23 04:21:06 | Distrito Federal, Brazil | |||
1619993 | 1619993 | 2022-11-22 | Brazil | Espirito Santo | 1225897 | 14840 | 0 | -19.1834 | -40.3089 | 2022-11-23 04:21:06 | Espirito Santo, Brazil | |||
1619994 | 1619994 | 2022-11-22 | Brazil | Goias | 1739466 | 27595 | 0 | -15.827 | -49.8362 | 2022-11-23 04:21:06 | Goias, Brazil | |||
1619995 | 1619995 | 2022-11-22 | Brazil | Maranhao | 477062 | 11000 | 0 | -4.9609 | -45.2744 | 2022-11-23 04:21:06 | Maranhao, Brazil | |||
1619996 | 1619996 | 2022-11-22 | Brazil | Mato Grosso | 833922 | 14963 | 0 | -12.6819 | -56.9211 | 2022-11-23 04:21:06 | Mato Grosso, Brazil | |||
1619997 | 1619997 | 2022-11-22 | Brazil | Mato Grosso do Sul | 583685 | 10848 | 0 | -20.7722 | -54.7852 | 2022-11-23 04:21:06 | Mato Grosso do Sul, Brazil | |||
1619998 | 1619998 | 2022-11-22 | Brazil | Minas Gerais | 3894815 | 63916 | 0 | -18.5122 | -44.555 | 2022-11-23 04:21:06 | Minas Gerais, Brazil | |||
1619999 | 1619999 | 2022-11-22 | Brazil | Para | 849194 | 18906 | 0 | -1.9981 | -54.9306 | 2022-11-23 04:21:06 | Para, Brazil | |||
1620000 | 1620000 | 2022-11-22 | Brazil | Paraiba | 662116 | 10423 | 0 | -7.24 | -36.782 | 2022-11-23 04:21:06 | Paraiba, Brazil | |||
1620001 | 1620001 | 2022-11-22 | Brazil | Parana | 2763298 | 45471 | 0 | -25.2521 | -52.0215 | 2022-11-23 04:21:06 | Parana, Brazil | |||
1620002 | 1620002 | 2022-11-22 | Brazil | Pernambuco | 1076289 | 22448 | 0 | -8.8137 | -36.9541 | 2022-11-23 04:21:06 | Pernambuco, Brazil | |||
1620003 | 1620003 | 2022-11-22 | Brazil | Piaui | 405311 | 7964 | 0 | -7.7183 | -42.7289 | 2022-11-23 04:21:06 | Piaui, Brazil | |||
1620004 | 1620004 | 2022-11-22 | Brazil | Rio Grande do Norte | 559242 | 8486 | 0 | -5.4026 | -36.9541 | 2022-11-23 04:21:06 | Rio Grande do Norte, Brazil | |||
1620005 | 1620005 | 2022-11-22 | Brazil | Rio Grande do Sul | 2756039 | 41239 | 0 | -30.0346 | -51.2177 | 2022-11-23 04:21:06 | Rio Grande do Sul, Brazil | |||
1620006 | 1620006 | 2022-11-22 | Brazil | Rio de Janeiro | 2602894 | 76010 | 0 | -22.9068 | -43.1729 | 2022-11-23 04:21:06 | Rio de Janeiro, Brazil | |||
1620007 | 1620007 | 2022-11-22 | Brazil | Rondonia | 458454 | 7364 | 0 | -11.5057 | -63.5806 | 2022-11-23 04:21:06 | Rondonia, Brazil | |||
1620008 | 1620008 | 2022-11-22 | Brazil | Roraima | 177522 | 2175 | 0 | -2.7376 | -62.0751 | 2022-11-23 04:21:06 | Roraima, Brazil | |||
1620009 | 1620009 | 2022-11-22 | Brazil | Santa Catarina | 1895690 | 22437 | 0 | -27.2423 | -50.2189 | 2022-11-23 04:21:06 | Santa Catarina, Brazil | |||
1620010 | 1620010 | 2022-11-22 | Brazil | Sao Paulo | 6174756 | 176037 | 0 | -23.5505 | -46.6333 | 2022-11-23 04:21:06 | Sao Paulo, Brazil | |||
1620011 | 1620011 | 2022-11-22 | Brazil | Sergipe | 344020 | 6444 | 0 | -10.5741 | -37.3857 | 2022-11-23 04:21:06 | Sergipe, Brazil | |||
1620012 | 1620012 | 2022-11-22 | Brazil | Tocantins | 345317 | 4208 | 0 | -10.1753 | -48.2982 | 2022-11-23 04:21:06 | Tocantins, Brazil | |||
1620013 | 1620013 | 2022-11-22 | Brunei | 248861 | 225 | 0 | 4.5353 | 114.7277 | 2022-11-23 04:21:06 | Brunei | ||||
1620014 | 1620014 | 2022-11-22 | Bulgaria | 1285855 | 38015 | 0 | 42.7339 | 25.4858 | 2022-11-23 04:21:06 | Bulgaria | ||||
1620015 | 1620015 | 2022-11-22 | Burkina Faso | 21631 | 387 | 0 | 12.2383 | -1.5616 | 2022-11-23 04:21:06 | Burkina Faso | ||||
1620016 | 1620016 | 2022-11-22 | Burma | 633075 | 19487 | 0 | 21.9162 | 95.956 | 2022-11-23 04:21:06 | Burma | ||||
1620017 | 1620017 | 2022-11-22 | Burundi | 50639 | 38 | 0 | -3.3731 | 29.9189 | 2022-11-23 04:21:06 | Burundi | ||||
1620018 | 1620018 | 2022-11-22 | Cabo Verde | 62862 | 411 | 0 | 16.5388 | -23.0418 | 2022-11-23 04:21:06 | Cabo Verde | ||||
1620019 | 1620019 | 2022-11-22 | Cambodia | 138035 | 3056 | 0 | 11.55 | 104.9167 | 2022-11-23 04:21:06 | Cambodia | ||||
1620020 | 1620020 | 2022-11-22 | Cameroon | 123993 | 1965 | 0 | 3.848 | 11.5021 | 2022-11-23 04:21:06 | Cameroon | ||||
1620021 | 1620021 | 2022-11-22 | Canada | Alberta | 616682 | 5137 | 0 | 53.9333 | -116.5765 | 2022-11-23 04:21:06 | Alberta, Canada | |||
1620022 | 1620022 | 2022-11-22 | Canada | British Columbia | 388984 | 4607 | 0 | 53.7267 | -127.6476 | 2022-11-23 04:21:06 | British Columbia, Canada | |||
1620023 | 1620023 | 2022-11-22 | Canada | Diamond Princess | 0 | 1 | 0 | 0.0 | 0.0 | 2020-12-21 13:27:30 | Diamond Princess, Canada | |||
1620024 | 1620024 | 2022-11-22 | Canada | Grand Princess | 13 | 0 | 0 | 37.6489 | 0.0 | 2020-12-21 13:27:30 | Grand Princess, Canada | |||
1620025 | 1620025 | 2022-11-22 | Canada | Manitoba | 152072 | 2256 | 0 | 53.7609 | -98.8139 | 2022-11-23 04:21:06 | Manitoba, Canada | |||
1620026 | 1620026 | 2022-11-22 | Canada | New Brunswick | 81787 | 603 | 0 | 46.5653 | -66.4619 | 2022-11-23 04:21:06 | New Brunswick, Canada | |||
1620027 | 1620027 | 2022-11-22 | Canada | Newfoundland and Labrador | 53150 | 268 | 0 | 53.1355 | -57.6604 | 2022-11-23 04:21:06 | Newfoundland and Labrador, Canada | |||
1620028 | 1620028 | 2022-11-22 | Canada | Northwest Territories | 11511 | 22 | 0 | 64.8255 | -124.8457 | 2022-11-23 04:21:06 | Northwest Territories,Canada | |||
1620029 | 1620029 | 2022-11-22 | Canada | Nova Scotia | 131825 | 628 | 0 | 44.682 | -63.7443 | 2022-11-23 04:21:06 | Nova Scotia, Canada | |||
1620030 | 1620030 | 2022-11-22 | Canada | Nunavut | 3531 | 7 | 0 | 70.2998 | -83.1076 | 2022-11-23 04:21:06 | Nunavut, Canada | |||
1620031 | 1620031 | 2022-11-22 | Canada | Ontario | 1530915 | 15154 | 0 | 51.2538 | -85.3232 | 2022-11-23 04:21:06 | Ontario, Canada | |||
1620032 | 1620032 | 2022-11-22 | Canada | Prince Edward Island | 54257 | 74 | 0 | 46.5107 | -63.4168 | 2022-11-23 04:21:06 | Prince Edward Island, Canada | |||
1620033 | 1620033 | 2022-11-22 | Canada | Quebec | 1244873 | 17290 | 0 | 52.9399 | -73.5491 | 2022-11-23 04:21:06 | Quebec, Canada | |||
1620034 | 1620034 | 2022-11-22 | Canada | Repatriated Travellers | 13 | 0 | 0 | 2022-11-23 04:21:06 | Repatriated Travellers, Canada | |||||
1620035 | 1620035 | 2022-11-22 | Canada | Saskatchewan | 148288 | 1662 | 0 | 52.9399 | -106.4509 | 2022-11-23 04:21:06 | Saskatchewan, Canada | |||
1620036 | 1620036 | 2022-11-22 | Canada | Yukon | 4989 | 32 | 0 | 64.2823 | -135.0 | 2022-11-23 04:21:06 | Yukon, Canada | |||
1620037 | 1620037 | 2022-11-22 | Central African Republic | 15311 | 113 | 0 | 6.6111 | 20.9394 | 2022-11-23 04:21:06 | Central African Republic | ||||
1620038 | 1620038 | 2022-11-22 | Chad | 7641 | 194 | 0 | 15.4542 | 18.7322 | 2022-11-23 04:21:06 | Chad | ||||
1620039 | 1620039 | 2022-11-22 | Chile | Antofagasta | 171926 | 1906 | 0 | -23.6509 | -70.3975 | 2022-11-23 04:21:06 | Antofagasta, Chile | |||
1620040 | 1620040 | 2022-11-22 | Chile | Araucania | 280130 | 2784 | 0 | -38.9489 | -72.3311 | 2022-11-23 04:21:06 | Araucania, Chile | |||
1620041 | 1620041 | 2022-11-22 | Chile | Arica y Parinacota | 74454 | 869 | 0 | -18.594 | -69.4785 | 2022-11-23 04:21:06 | Arica y Parinacota, Chile | |||
1620042 | 1620042 | 2022-11-22 | Chile | Atacama | 106525 | 689 | 0 | -27.5661 | -70.0503 | 2022-11-23 04:21:06 | Atacama, Chile | |||
1620043 | 1620043 | 2022-11-22 | Chile | Aysen | 33734 | 207 | 0 | -45.9864 | -73.7669 | 2022-11-23 04:21:06 | Aysen, 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]);