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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3350324 | 3350324 | 2022-04-01 | Afghanistan | 177782 | 7670 | 0 | 33.93911 | 67.709953 | 2022-04-02 04:20:47 | Afghanistan | ||||
3350325 | 3350325 | 2022-04-01 | Albania | 273759 | 3492 | 0 | 41.1533 | 20.1683 | 2022-04-02 04:20:47 | Albania | ||||
3350326 | 3350326 | 2022-04-01 | Algeria | 265679 | 6874 | 0 | 28.0339 | 1.6596 | 2022-04-02 04:20:47 | Algeria | ||||
3350327 | 3350327 | 2022-04-01 | Andorra | 40024 | 153 | 0 | 42.5063 | 1.5218 | 2022-04-02 04:20:47 | Andorra | ||||
3350328 | 3350328 | 2022-04-01 | Angola | 99194 | 1900 | 0 | -11.2027 | 17.8739 | 2022-04-02 04:20:47 | Angola | ||||
3350329 | 3350329 | 2022-04-01 | Antarctica | 11 | 0 | 0 | -71.9499 | 23.346999999999998 | 2022-04-02 04:20:47 | Antarctica | ||||
3350330 | 3350330 | 2022-04-01 | Antigua and Barbuda | 7493 | 135 | 0 | 17.0608 | -61.7964 | 2022-04-02 04:20:47 | Antigua and Barbuda | ||||
3350331 | 3350331 | 2022-04-01 | Argentina | 9039838 | 128052 | 0 | -38.4161 | -63.6167 | 2022-04-02 04:20:47 | Argentina | ||||
3350332 | 3350332 | 2022-04-01 | Armenia | 422540 | 8616 | 0 | 40.0691 | 45.0382 | 2022-04-02 04:20:47 | Armenia | ||||
3350333 | 3350333 | 2022-04-01 | Australia | Australian Capital Territory | 79515 | 42 | 0 | -35.4735 | 149.0124 | 2022-04-02 04:20:47 | Australian Capital Territory, Australia | |||
3350334 | 3350334 | 2022-04-01 | Australia | New South Wales | 1863375 | 2444 | 0 | -33.8688 | 151.2093 | 2022-04-02 04:20:47 | New South Wales, Australia | |||
3350335 | 3350335 | 2022-04-01 | Australia | Northern Territory | 50713 | 36 | 0 | -12.4634 | 130.8456 | 2022-04-02 04:20:47 | Northern Territory, Australia | |||
3350336 | 3350336 | 2022-04-01 | Australia | Queensland | 785417 | 746 | 0 | -27.4698 | 153.0251 | 2022-04-02 04:20:47 | Queensland, Australia | |||
3350337 | 3350337 | 2022-04-01 | Australia | South Australia | 263402 | 261 | 0 | -34.9285 | 138.6007 | 2022-04-02 04:20:47 | South Australia, Australia | |||
3350338 | 3350338 | 2022-04-01 | Australia | Tasmania | 93192 | 31 | 0 | -42.8821 | 147.3272 | 2022-04-02 04:20:47 | Tasmania, Australia | |||
3350339 | 3350339 | 2022-04-01 | Australia | Victoria | 1302047 | 2752 | 0 | -37.8136 | 144.9631 | 2022-04-02 04:20:47 | Victoria, Australia | |||
3350340 | 3350340 | 2022-04-01 | Australia | Western Australia | 190502 | 53 | 0 | -31.9505 | 115.8605 | 2022-04-02 04:20:47 | Western Australia, Australia | |||
3350341 | 3350341 | 2022-04-01 | Austria | 3868236 | 19001 | 0 | 47.5162 | 14.5501 | 2022-04-02 04:20:47 | Austria | ||||
3350342 | 3350342 | 2022-04-01 | Azerbaijan | 791979 | 9694 | 0 | 40.1431 | 47.5769 | 2022-04-02 04:20:47 | Azerbaijan | ||||
3350343 | 3350343 | 2022-04-01 | Bahamas | 33291 | 788 | 0 | 25.025885 | -78.035889 | 2022-04-02 04:20:47 | Bahamas | ||||
3350344 | 3350344 | 2022-04-01 | Bahrain | 555003 | 1471 | 0 | 26.0275 | 50.55 | 2022-04-02 04:20:47 | Bahrain | ||||
3350345 | 3350345 | 2022-04-01 | Bangladesh | 1951658 | 29122 | 0 | 23.685 | 90.3563 | 2022-04-02 04:20:47 | Bangladesh | ||||
3350346 | 3350346 | 2022-04-01 | Barbados | 59495 | 375 | 0 | 13.1939 | -59.5432 | 2022-04-02 04:20:47 | Barbados | ||||
3350347 | 3350347 | 2022-04-01 | Belarus | 963756 | 6829 | 0 | 53.7098 | 27.9534 | 2022-04-02 04:20:47 | Belarus | ||||
3350348 | 3350348 | 2022-04-01 | Belgium | Antwerp | 608444 | 0 | 0 | 51.2195 | 4.4024 | 2022-04-02 04:20:47 | Antwerp, Belgium | |||
3350349 | 3350349 | 2022-04-01 | Belgium | Brussels | 428749 | 0 | 0 | 50.8503 | 4.3517 | 2022-04-02 04:20:47 | Brussels, Belgium | |||
3350350 | 3350350 | 2022-04-01 | Belgium | East Flanders | 505555 | 0 | 0 | 51.0362 | 3.7373 | 2022-04-02 04:20:47 | East Flanders, Belgium | |||
3350351 | 3350351 | 2022-04-01 | Belgium | Flemish Brabant | 364656 | 0 | 0 | 50.9167 | 4.5833 | 2022-04-02 04:20:47 | Flemish Brabant, Belgium | |||
3350352 | 3350352 | 2022-04-01 | Belgium | Hainaut | 431259 | 0 | 0 | 50.5257 | 4.0621 | 2022-04-02 04:20:47 | Hainaut, Belgium | |||
3350353 | 3350353 | 2022-04-01 | Belgium | Liege | 358278 | 0 | 0 | 50.4496 | 5.8492 | 2022-04-02 04:20:47 | Liege, Belgium | |||
3350354 | 3350354 | 2022-04-01 | Belgium | Limburg | 284756 | 0 | 0 | 50.9739 | 5.3420000000000005 | 2022-04-02 04:20:47 | Limburg, Belgium | |||
3350355 | 3350355 | 2022-04-01 | Belgium | Luxembourg | 100520 | 0 | 0 | 50.0547 | 5.4677 | 2022-04-02 04:20:47 | Luxembourg, Belgium | |||
3350356 | 3350356 | 2022-04-01 | Belgium | Namur | 167702 | 0 | 0 | 50.331 | 4.8221 | 2022-04-02 04:20:47 | Namur, Belgium | |||
3350357 | 3350357 | 2022-04-01 | Belgium | Unknown | 55433 | 30826 | 0 | 2022-04-02 04:20:47 | Unknown, Belgium | |||||
3350358 | 3350358 | 2022-04-01 | Belgium | Walloon Brabant | 141447 | 0 | 0 | 50.4 | 4.35 | 2022-04-02 04:20:47 | Walloon Brabant, Belgium | |||
3350359 | 3350359 | 2022-04-01 | Belgium | West Flanders | 404249 | 0 | 0 | 51.0536 | 3.1458 | 2022-04-02 04:20:47 | West Flanders, Belgium | |||
3350360 | 3350360 | 2022-04-01 | Belize | 57289 | 656 | 0 | 17.1899 | -88.4976 | 2022-04-02 04:20:47 | Belize | ||||
3350361 | 3350361 | 2022-04-01 | Benin | 26952 | 163 | 0 | 9.3077 | 2.3158 | 2022-04-02 04:20:47 | Benin | ||||
3350362 | 3350362 | 2022-04-01 | Bhutan | 29139 | 11 | 0 | 27.5142 | 90.4336 | 2022-04-02 04:20:47 | Bhutan | ||||
3350363 | 3350363 | 2022-04-01 | Bolivia | 902316 | 21895 | 0 | -16.2902 | -63.5887 | 2022-04-02 04:20:47 | Bolivia | ||||
3350364 | 3350364 | 2022-04-01 | Bosnia and Herzegovina | 375554 | 15718 | 0 | 43.9159 | 17.6791 | 2022-04-02 04:20:47 | Bosnia and Herzegovina | ||||
3350365 | 3350365 | 2022-04-01 | Botswana | 305526 | 2686 | 0 | -22.3285 | 24.6849 | 2022-04-02 04:20:47 | Botswana | ||||
3350366 | 3350366 | 2022-04-01 | Brazil | Acre | 123812 | 1992 | 0 | -9.0238 | -70.812 | 2022-04-02 04:20:47 | Acre, Brazil | |||
3350367 | 3350367 | 2022-04-01 | Brazil | Alagoas | 296226 | 6886 | 0 | -9.5713 | -36.782 | 2022-04-02 04:20:47 | Alagoas, Brazil | |||
3350368 | 3350368 | 2022-04-01 | Brazil | Amapa | 160346 | 2126 | 0 | 0.902 | -52.003 | 2022-04-02 04:20:47 | Amapa, Brazil | |||
3350369 | 3350369 | 2022-04-01 | Brazil | Amazonas | 581326 | 14155 | 0 | -3.4168 | -65.8561 | 2022-04-02 04:20:47 | Amazonas, Brazil | |||
3350370 | 3350370 | 2022-04-01 | Brazil | Bahia | 1533368 | 29718 | 0 | -12.5797 | -41.7007 | 2022-04-02 04:20:47 | Bahia, Brazil | |||
3350371 | 3350371 | 2022-04-01 | Brazil | Ceara | 1240834 | 26756 | 0 | -5.4984 | -39.3206 | 2022-04-02 04:20:47 | Ceara, Brazil | |||
3350372 | 3350372 | 2022-04-01 | Brazil | Distrito Federal | 692546 | 11588 | 0 | -15.7998 | -47.8645 | 2022-04-02 04:20:47 | Distrito Federal, Brazil | |||
3350373 | 3350373 | 2022-04-01 | Brazil | Espirito Santo | 1039630 | 14337 | 0 | -19.1834 | -40.3089 | 2022-04-02 04:20:47 | Espirito Santo, Brazil | |||
3350374 | 3350374 | 2022-04-01 | Brazil | Goias | 1282525 | 26269 | 0 | -15.827 | -49.8362 | 2022-04-02 04:20:47 | Goias, Brazil | |||
3350375 | 3350375 | 2022-04-01 | Brazil | Maranhao | 425962 | 10873 | 0 | -4.9609 | -45.2744 | 2022-04-02 04:20:47 | Maranhao, Brazil | |||
3350376 | 3350376 | 2022-04-01 | Brazil | Mato Grosso | 724653 | 14854 | 0 | -12.6819 | -56.9211 | 2022-04-02 04:20:47 | Mato Grosso, Brazil | |||
3350377 | 3350377 | 2022-04-01 | Brazil | Mato Grosso do Sul | 524596 | 10504 | 0 | -20.7722 | -54.7852 | 2022-04-02 04:20:47 | Mato Grosso do Sul, Brazil | |||
3350378 | 3350378 | 2022-04-01 | Brazil | Minas Gerais | 3329451 | 60879 | 0 | -18.5122 | -44.555 | 2022-04-02 04:20:47 | Minas Gerais, Brazil | |||
3350379 | 3350379 | 2022-04-01 | Brazil | Para | 755085 | 18106 | 0 | -1.9981 | -54.9306 | 2022-04-02 04:20:47 | Para, Brazil | |||
3350380 | 3350380 | 2022-04-01 | Brazil | Paraiba | 597101 | 10194 | 0 | -7.24 | -36.782 | 2022-04-02 04:20:47 | Paraiba, Brazil | |||
3350381 | 3350381 | 2022-04-01 | Brazil | Parana | 2415767 | 42933 | 0 | -25.2521 | -52.0215 | 2022-04-02 04:20:47 | Parana, Brazil | |||
3350382 | 3350382 | 2022-04-01 | Brazil | Pernambuco | 898815 | 21419 | 0 | -8.8137 | -36.9541 | 2022-04-02 04:20:47 | Pernambuco, Brazil | |||
3350383 | 3350383 | 2022-04-01 | Brazil | Piaui | 367701 | 7728 | 0 | -7.7183 | -42.7289 | 2022-04-02 04:20:47 | Piaui, Brazil | |||
3350384 | 3350384 | 2022-04-01 | Brazil | Rio Grande do Norte | 497669 | 8122 | 0 | -5.4026 | -36.9541 | 2022-04-02 04:20:47 | Rio Grande do Norte, Brazil | |||
3350385 | 3350385 | 2022-04-01 | Brazil | Rio Grande do Sul | 2277738 | 39076 | 0 | -30.0346 | -51.2177 | 2022-04-02 04:20:47 | Rio Grande do Sul, Brazil | |||
3350386 | 3350386 | 2022-04-01 | Brazil | Rio de Janeiro | 2092612 | 72858 | 0 | -22.9068 | -43.1729 | 2022-04-02 04:20:47 | Rio de Janeiro, Brazil | |||
3350387 | 3350387 | 2022-04-01 | Brazil | Rondonia | 394432 | 7180 | 0 | -11.5057 | -63.5806 | 2022-04-02 04:20:47 | Rondonia, Brazil | |||
3350388 | 3350388 | 2022-04-01 | Brazil | Roraima | 155172 | 2145 | 0 | -2.7376 | -62.0751 | 2022-04-02 04:20:47 | Roraima, Brazil | |||
3350389 | 3350389 | 2022-04-01 | Brazil | Santa Catarina | 1677565 | 21666 | 0 | -27.2423 | -50.2189 | 2022-04-02 04:20:47 | Santa Catarina, Brazil | |||
3350390 | 3350390 | 2022-04-01 | Brazil | Sao Paulo | 5264521 | 167437 | 0 | -23.5505 | -46.6333 | 2022-04-02 04:20:47 | Sao Paulo, Brazil | |||
3350391 | 3350391 | 2022-04-01 | Brazil | Sergipe | 326057 | 6319 | 0 | -10.5741 | -37.3857 | 2022-04-02 04:20:47 | Sergipe, Brazil | |||
3350392 | 3350392 | 2022-04-01 | Brazil | Tocantins | 303003 | 4145 | 0 | -10.1753 | -48.2982 | 2022-04-02 04:20:47 | Tocantins, Brazil | |||
3350393 | 3350393 | 2022-04-01 | Brunei | 134915 | 210 | 0 | 4.5353 | 114.7277 | 2022-04-02 04:20:47 | Brunei | ||||
3350394 | 3350394 | 2022-04-01 | Bulgaria | 1139956 | 36554 | 0 | 42.7339 | 25.4858 | 2022-04-02 04:20:47 | Bulgaria | ||||
3350395 | 3350395 | 2022-04-01 | Burkina Faso | 20858 | 382 | 0 | 12.2383 | -1.5616 | 2022-04-02 04:20:47 | Burkina Faso | ||||
3350396 | 3350396 | 2022-04-01 | Burma | 611674 | 19431 | 0 | 21.9162 | 95.956 | 2022-04-02 04:20:47 | Burma | ||||
3350397 | 3350397 | 2022-04-01 | Burundi | 38519 | 38 | 0 | -3.3731 | 29.9189 | 2022-04-02 04:20:47 | Burundi | ||||
3350398 | 3350398 | 2022-04-01 | Cabo Verde | 55957 | 401 | 0 | 16.5388 | -23.0418 | 2022-04-02 04:20:47 | Cabo Verde | ||||
3350399 | 3350399 | 2022-04-01 | Cambodia | 135682 | 3054 | 0 | 11.55 | 104.9167 | 2022-04-02 04:20:47 | Cambodia | ||||
3350400 | 3350400 | 2022-04-01 | Cameroon | 119544 | 1927 | 0 | 3.8480000000000003 | 11.5021 | 2022-04-02 04:20:47 | Cameroon | ||||
3350401 | 3350401 | 2022-04-01 | Canada | Alberta | 540733 | 4074 | 0 | 53.9333 | -116.5765 | 2022-04-02 04:20:47 | Alberta, Canada | |||
3350402 | 3350402 | 2022-04-01 | Canada | British Columbia | 356772 | 3002 | 0 | 53.7267 | -127.6476 | 2022-04-02 04:20:47 | British Columbia, Canada | |||
3350403 | 3350403 | 2022-04-01 | Canada | Diamond Princess | 0 | 1 | 0 | 0.0 | 0.0 | 2020-12-21 13:27:30 | Diamond Princess, Canada | |||
3350404 | 3350404 | 2022-04-01 | Canada | Grand Princess | 13 | 0 | 0 | 37.6489 | 0.0 | 2020-12-21 13:27:30 | Grand Princess, Canada | |||
3350405 | 3350405 | 2022-04-01 | Canada | Manitoba | 135214 | 1744 | 0 | 53.7609 | -98.8139 | 2022-04-02 04:20:47 | Manitoba, Canada | |||
3350406 | 3350406 | 2022-04-01 | Canada | New Brunswick | 48197 | 349 | 0 | 46.5653 | -66.4619 | 2022-04-02 04:20:47 | New Brunswick, Canada | |||
3350407 | 3350407 | 2022-04-01 | Canada | Newfoundland and Labrador | 38331 | 110 | 0 | 53.1355 | -57.6604 | 2022-04-02 04:20:47 | Newfoundland and Labrador, Canada | |||
3350408 | 3350408 | 2022-04-01 | Canada | Northwest Territories | 10951 | 21 | 0 | 64.8255 | -124.8457 | 2022-04-02 04:20:47 | Northwest Territories,Canada | |||
3350409 | 3350409 | 2022-04-01 | Canada | Nova Scotia | 59000 | 255 | 0 | 44.681999999999995 | -63.7443 | 2022-04-02 04:20:47 | Nova Scotia, Canada | |||
3350410 | 3350410 | 2022-04-01 | Canada | Nunavut | 3472 | 6 | 0 | 70.2998 | -83.1076 | 2022-04-02 04:20:47 | Nunavut, Canada | |||
3350411 | 3350411 | 2022-04-01 | Canada | Ontario | 1176866 | 12451 | 0 | 51.2538 | -85.3232 | 2022-04-02 04:20:47 | Ontario, Canada | |||
3350412 | 3350412 | 2022-04-01 | Canada | Prince Edward Island | 25799 | 18 | 0 | 46.5107 | -63.4168 | 2022-04-02 04:20:47 | Prince Edward Island, Canada | |||
3350413 | 3350413 | 2022-04-01 | Canada | Quebec | 970951 | 14382 | 0 | 52.9399 | -73.5491 | 2022-04-02 04:20:47 | Quebec, Canada | |||
3350414 | 3350414 | 2022-04-01 | Canada | Repatriated Travellers | 13 | 0 | 0 | 2022-04-02 04:20:47 | Repatriated Travellers, Canada | |||||
3350415 | 3350415 | 2022-04-01 | Canada | Saskatchewan | 132224 | 1229 | 0 | 52.9399 | -106.4509 | 2022-04-02 04:20:47 | Saskatchewan, Canada | |||
3350416 | 3350416 | 2022-04-01 | Canada | Yukon | 3844 | 24 | 0 | 64.2823 | -135.0 | 2022-04-02 04:20:47 | Yukon, Canada | |||
3350417 | 3350417 | 2022-04-01 | Central African Republic | 14649 | 113 | 0 | 6.6111 | 20.9394 | 2022-04-02 04:20:47 | Central African Republic | ||||
3350418 | 3350418 | 2022-04-01 | Chad | 7310 | 191 | 0 | 15.4542 | 18.7322 | 2022-04-02 04:20:47 | Chad | ||||
3350419 | 3350419 | 2022-04-01 | Chile | Antofagasta | 121009 | 1740 | 0 | -23.6509 | -70.3975 | 2022-04-02 04:20:47 | Antofagasta, Chile | |||
3350420 | 3350420 | 2022-04-01 | Chile | Araucania | 212376 | 2513 | 0 | -38.9489 | -72.3311 | 2022-04-02 04:20:47 | Araucania, Chile | |||
3350421 | 3350421 | 2022-04-01 | Chile | Arica y Parinacota | 54844 | 807 | 0 | -18.594 | -69.4785 | 2022-04-02 04:20:47 | Arica y Parinacota, Chile | |||
3350422 | 3350422 | 2022-04-01 | Chile | Atacama | 64702 | 572 | 0 | -27.5661 | -70.0503 | 2022-04-02 04:20:47 | Atacama, Chile | |||
3350423 | 3350423 | 2022-04-01 | Chile | Aysen | 24535 | 176 | 0 | -45.9864 | -73.7669 | 2022-04-02 04:20:47 | 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]);