daily_reports (view)
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
3,996 rows where day = "2020-10-29" sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: last_update, day (date), last_update (date)
province_or_state >30
- Texas 255
- Georgia 161
- Virginia 134
- Kentucky 121
- Missouri 117
- Kansas 106
- Illinois 104
- North Carolina 101
- Iowa 100
- Tennessee 97
- Nebraska 94
- Indiana 93
- Ohio 89
- Minnesota 88
- Michigan 87
- Mississippi 83
- Puerto Rico 80
- Oklahoma 79
- Arkansas 76
- Wisconsin 73
- Alabama 69
- Florida 68
- Pennsylvania 68
- South Dakota 67
- Colorado 66
- Louisiana 66
- New York 64
- California 59
- Montana 57
- West Virginia 56
- …
country_or_region >30
- US 3,275
- Russia 83
- Japan 49
- India 37
- China 34
- Colombia 34
- Mexico 32
- Ukraine 28
- Brazil 27
- Peru 26
- Italy 21
- Sweden 21
- Spain 20
- United Kingdom 19
- Chile 17
- Germany 17
- Malaysia 17
- Netherlands 17
- Canada 15
- France 11
- Australia 8
- Pakistan 7
- Denmark 3
- New Zealand 3
- Afghanistan 1
- Albania 1
- Algeria 1
- Andorra 1
- Angola 1
- Antarctica 1
- …
day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-10-29 | Afghanistan | 41145 | 1529 | 34239 | 5377 | 33.93911 | 67.709953 | 2020-10-30 04:24:49 | Afghanistan | |||
2020-10-29 | Albania | 20315 | 499 | 11007 | 8809 | 41.1533 | 20.1683 | 2020-10-30 04:24:49 | Albania | |||
2020-10-29 | Algeria | 57332 | 1949 | 39635 | 15748 | 28.0339 | 1.6596 | 2020-10-30 04:24:49 | Algeria | |||
2020-10-29 | Andorra | 4567 | 73 | 3260 | 1234 | 42.5063 | 1.5218 | 2020-10-30 04:24:49 | Andorra | |||
2020-10-29 | Angola | 10269 | 275 | 3736 | 6258 | -11.2027 | 17.8739 | 2020-10-30 04:24:49 | Angola | |||
2020-10-29 | Antigua and Barbuda | 124 | 3 | 115 | 6 | 17.0608 | -61.7964 | 2020-10-30 04:24:49 | Antigua and Barbuda | |||
2020-10-29 | Argentina | 1143800 | 30442 | 946134 | 167224 | -38.4161 | -63.6167 | 2020-10-30 04:24:49 | Argentina | |||
2020-10-29 | Armenia | 85034 | 1272 | 53257 | 30505 | 40.0691 | 45.0382 | 2020-10-30 04:24:49 | Armenia | |||
2020-10-29 | Australia | Australian Capital Territory | 114 | 3 | 111 | 0 | -35.4735 | 149.0124 | 2020-10-30 04:24:49 | Australian Capital Territory, Australia | ||
2020-10-29 | Australia | New South Wales | 4417 | 53 | 0 | 4364 | -33.8688 | 151.2093 | 2020-10-30 04:24:49 | New South Wales, Australia | ||
2020-10-29 | Australia | Northern Territory | 37 | 0 | 33 | 4 | -12.4634 | 130.8456 | 2020-10-30 04:24:49 | Northern Territory, Australia | ||
2020-10-29 | Australia | Queensland | 1172 | 6 | 1159 | 7 | -27.4698 | 153.0251 | 2020-10-30 04:24:49 | Queensland, Australia | ||
2020-10-29 | Australia | South Australia | 496 | 4 | 482 | 10 | -34.9285 | 138.6007 | 2020-10-30 04:24:49 | South Australia, Australia | ||
2020-10-29 | Australia | Tasmania | 230 | 13 | 217 | 0 | -42.8821 | 147.3272 | 2020-10-30 04:24:49 | Tasmania, Australia | ||
2020-10-29 | Australia | Victoria | 20347 | 819 | 19381 | 147 | -37.8136 | 144.9631 | 2020-10-30 04:24:49 | Victoria, Australia | ||
2020-10-29 | Australia | Western Australia | 766 | 9 | 708 | 49 | -31.9505 | 115.8605 | 2020-10-30 04:24:49 | Western Australia, Australia | ||
2020-10-29 | Austria | 91951 | 1353 | 63366 | 29527 | 47.5162 | 14.5501 | 2020-10-30 04:24:49 | Austria | |||
2020-10-29 | Azerbaijan | 53152 | 708 | 42516 | 9928 | 40.1431 | 47.5769 | 2020-10-30 04:24:49 | Azerbaijan | |||
2020-10-29 | Bahamas | 6607 | 138 | 4257 | 2212 | 25.025885 | -78.035889 | 2020-10-30 04:24:49 | Bahamas | |||
2020-10-29 | Bahrain | 81262 | 317 | 78102 | 2843 | 26.0275 | 50.55 | 2020-10-30 04:24:49 | Bahrain | |||
2020-10-29 | Bangladesh | 404760 | 5886 | 321281 | 77593 | 23.685 | 90.3563 | 2020-10-30 04:24:49 | Bangladesh | |||
2020-10-29 | Barbados | 234 | 7 | 217 | 10 | 13.1939 | -59.5432 | 2020-10-30 04:24:49 | Barbados | |||
2020-10-29 | Belarus | 96529 | 973 | 85332 | 10224 | 53.7098 | 27.9534 | 2020-10-30 04:24:49 | Belarus | |||
2020-10-29 | Belgium | 392258 | 11308 | 24443 | 356507 | 50.8333 | 4.469936 | 2020-10-30 04:24:49 | Belgium | |||
2020-10-29 | Belize | 3261 | 52 | 2076 | 1133 | 17.1899 | -88.4976 | 2020-10-30 04:24:49 | Belize | |||
2020-10-29 | Benin | 2643 | 41 | 2330 | 272 | 9.3077 | 2.3158 | 2020-10-30 04:24:49 | Benin | |||
2020-10-29 | Bhutan | 346 | 0 | 316 | 30 | 27.5142 | 90.4336 | 2020-10-30 04:24:49 | Bhutan | |||
2020-10-29 | Bolivia | 141484 | 8705 | 110759 | 22020 | -16.2902 | -63.5887 | 2020-10-30 04:24:49 | Bolivia | |||
2020-10-29 | Bosnia and Herzegovina | 46639 | 1182 | 27580 | 17877 | 43.9159 | 17.6791 | 2020-10-30 04:24:49 | Bosnia and Herzegovina | |||
2020-10-29 | Botswana | 6642 | 24 | 4676 | 1942 | -22.3285 | 24.6849 | 2020-10-30 04:24:49 | Botswana | |||
2020-10-29 | Brazil | Acre | 30638 | 692 | 27999 | 1947 | -9.0238 | -70.812 | 2020-10-30 04:24:49 | Acre, Brazil | ||
2020-10-29 | Brazil | Alagoas | 90564 | 2230 | 87530 | 804 | -9.5713 | -36.782 | 2020-10-30 04:24:49 | Alagoas, Brazil | ||
2020-10-29 | Brazil | Amapa | 51875 | 746 | 43840 | 7289 | 0.902 | -52.003 | 2020-10-30 04:24:49 | Amapa, Brazil | ||
2020-10-29 | Brazil | Amazonas | 160596 | 4516 | 136063 | 20017 | -3.4168 | -65.8561 | 2020-10-30 04:24:49 | Amazonas, Brazil | ||
2020-10-29 | Brazil | Bahia | 351277 | 7571 | 336171 | 7535 | -12.5797 | -41.7007 | 2020-10-30 04:24:49 | Bahia, Brazil | ||
2020-10-29 | Brazil | Ceara | 273194 | 9335 | 233043 | 30409 | -5.4984 | -39.3206 | 2020-10-30 04:24:49 | Ceara, Brazil | ||
2020-10-29 | Brazil | Distrito Federal | 212140 | 3670 | 201354 | 7116 | -15.7998 | -47.8645 | 2020-10-30 04:24:49 | Distrito Federal, Brazil | ||
2020-10-29 | Brazil | Espirito Santo | 154131 | 3841 | 142114 | 8048 | -19.1834 | -40.3089 | 2020-10-30 04:24:49 | Espirito Santo, Brazil | ||
2020-10-29 | Brazil | Goias | 255088 | 5732 | 243964 | 4320 | -15.827 | -49.8362 | 2020-10-30 04:24:49 | Goias, Brazil | ||
2020-10-29 | Brazil | Maranhao | 185341 | 4034 | 177494 | 3628 | -4.9609 | -45.2744 | 2020-10-30 04:24:49 | Maranhao, Brazil | ||
2020-10-29 | Brazil | Mato Grosso | 143047 | 3841 | 133333 | 5185 | -12.6819 | -56.9211 | 2020-10-30 04:24:49 | Mato Grosso, Brazil | ||
2020-10-29 | Brazil | Mato Grosso do Sul | 81998 | 1588 | 75987 | 3875 | -20.7722 | -54.7852 | 2020-10-30 04:24:49 | Mato Grosso do Sul, Brazil | ||
2020-10-29 | Brazil | Minas Gerais | 355226 | 8916 | 324207 | 22103 | -18.5122 | -44.555 | 2020-10-30 04:24:49 | Minas Gerais, Brazil | ||
2020-10-29 | Brazil | Para | 252389 | 6738 | 234376 | 10180 | -1.9981 | -54.9306 | 2020-10-30 04:24:49 | Para, Brazil | ||
2020-10-29 | Brazil | Paraiba | 132231 | 3083 | 107984 | 21164 | -7.24 | -36.782 | 2020-10-30 04:24:49 | Paraiba, Brazil | ||
2020-10-29 | Brazil | Parana | 211861 | 5174 | 160818 | 45869 | -25.2521 | -52.0215 | 2020-10-30 04:24:49 | Parana, Brazil | ||
2020-10-29 | Brazil | Pernambuco | 161740 | 8599 | 143013 | 10128 | -8.8137 | -36.9541 | 2020-10-30 04:24:49 | Pernambuco, Brazil | ||
2020-10-29 | Brazil | Piaui | 112765 | 2392 | 109363 | 455 | -7.7183 | -42.7289 | 2020-10-30 04:24:49 | Piaui, Brazil | ||
2020-10-29 | Brazil | Rio Grande do Norte | 81423 | 2584 | 44152 | 34225 | -5.4026 | -36.9541 | 2020-10-30 04:24:49 | Rio Grande do Norte, Brazil | ||
2020-10-29 | Brazil | Rio Grande do Sul | 243402 | 5729 | 226195 | 11478 | -30.0346 | -51.2177 | 2020-10-30 04:24:49 | Rio Grande do Sul, Brazil | ||
2020-10-29 | Brazil | Rio de Janeiro | 308017 | 20462 | 282341 | 5214 | -22.9068 | -43.1729 | 2020-10-30 04:24:49 | Rio de Janeiro, Brazil | ||
2020-10-29 | Brazil | Rondonia | 71351 | 1454 | 64257 | 5640 | -11.5057 | -63.5806 | 2020-10-30 04:24:49 | Rondonia, Brazil | ||
2020-10-29 | Brazil | Roraima | 57002 | 692 | 52283 | 3758 | -2.7376 | -62.0751 | 2020-10-30 04:24:49 | Roraima, Brazil | ||
2020-10-29 | Brazil | Santa Catarina | 254488 | 3077 | 237563 | 13848 | -27.2423 | -50.2189 | 2020-10-30 04:24:49 | Santa Catarina, Brazil | ||
2020-10-29 | Brazil | Sao Paulo | 1108860 | 39119 | 998541 | 71200 | -23.5505 | -46.6333 | 2020-10-30 04:24:49 | Sao Paulo, Brazil | ||
2020-10-29 | Brazil | Sergipe | 84171 | 2195 | 75849 | 6127 | -10.5741 | -37.3857 | 2020-10-30 04:24:49 | Sergipe, Brazil | ||
2020-10-29 | Brazil | Tocantins | 75425 | 1097 | 62740 | 11271 | -10.1753 | -48.2982 | 2020-10-30 04:24:49 | Tocantins, Brazil | ||
2020-10-29 | Brunei | 148 | 3 | 143 | 2 | 4.5353 | 114.7277 | 2020-10-30 04:24:49 | Brunei | |||
2020-10-29 | Bulgaria | 48150 | 1225 | 19695 | 27230 | 42.7339 | 25.4858 | 2020-10-30 04:24:49 | Bulgaria | |||
2020-10-29 | Burkina Faso | 2471 | 67 | 2211 | 193 | 12.2383 | -1.5616 | 2020-10-30 04:24:49 | Burkina Faso | |||
2020-10-29 | Burma | 50403 | 1199 | 30007 | 19197 | 21.9162 | 95.956 | 2020-10-30 04:24:49 | Burma | |||
2020-10-29 | Burundi | 560 | 1 | 511 | 48 | -3.3731 | 29.9189 | 2020-10-30 04:24:49 | Burundi | |||
2020-10-29 | Cabo Verde | 8603 | 95 | 7796 | 712 | 16.5388 | -23.0418 | 2020-10-30 04:24:49 | Cabo Verde | |||
2020-10-29 | Cambodia | 291 | 0 | 283 | 8 | 11.55 | 104.9167 | 2020-10-30 04:24:49 | Cambodia | |||
2020-10-29 | Cameroon | 21793 | 426 | 20117 | 1250 | 3.848 | 11.5021 | 2020-10-30 04:24:49 | Cameroon | |||
2020-10-29 | Canada | Alberta | 27042 | 318 | 21803 | 4921 | 53.9333 | -116.5765 | 2020-10-30 04:24:49 | Alberta, Canada | ||
2020-10-29 | Canada | British Columbia | 14109 | 262 | 11503 | 2344 | 53.7267 | -127.6476 | 2020-10-30 04:24:49 | British Columbia, Canada | ||
2020-10-29 | Canada | Diamond Princess | 0 | 1 | 0 | 0 | 0.0 | 0.0 | 2020-10-30 04:24:49 | Diamond Princess, Canada | ||
2020-10-29 | Canada | Grand Princess | 13 | 0 | 13 | 0 | 37.6489 | 0.0 | 2020-10-30 04:24:49 | Grand Princess, Canada | ||
2020-10-29 | Canada | Manitoba | 4894 | 62 | 2423 | 2409 | 53.7609 | -98.8139 | 2020-10-30 04:24:49 | Manitoba, Canada | ||
2020-10-29 | Canada | New Brunswick | 341 | 6 | 294 | 41 | 46.5653 | -66.4619 | 2020-10-30 04:24:49 | New Brunswick, Canada | ||
2020-10-29 | Canada | Newfoundland and Labrador | 291 | 4 | 283 | 4 | 53.1355 | -57.6604 | 2020-10-30 04:24:49 | Newfoundland and Labrador, Canada | ||
2020-10-29 | Canada | Northwest Territories | 10 | 0 | 8 | 2 | 64.8255 | -124.8457 | 2020-10-30 04:24:49 | Northwest Territories,Canada | ||
2020-10-29 | Canada | Nova Scotia | 1102 | 65 | 1033 | 4 | 44.682 | -63.7443 | 2020-10-30 04:24:49 | Nova Scotia, Canada | ||
2020-10-29 | Canada | Nunavut | 0 | 0 | 0 | 0 | 70.2998 | -83.1076 | 2020-10-30 04:24:49 | Nunavut, Canada | ||
2020-10-29 | Canada | Ontario | 76258 | 3118 | 65964 | 7526 | 51.2538 | -85.3232 | 2020-10-30 04:24:49 | Ontario, Canada | ||
2020-10-29 | Canada | Prince Edward Island | 64 | 0 | 64 | 0 | 46.5107 | -63.4168 | 2020-10-30 04:24:49 | Prince Edward Island, Canada | ||
2020-10-29 | Canada | Quebec | 104958 | 6279 | 88442 | 10237 | 52.9399 | -73.5491 | 2020-10-30 04:24:49 | Quebec, Canada | ||
2020-10-29 | Canada | Saskatchewan | 2990 | 25 | 2258 | 707 | 52.9399 | -106.4509 | 2020-10-30 04:24:49 | Saskatchewan, Canada | ||
2020-10-29 | Canada | Yukon | 23 | 0 | 17 | 6 | 64.2823 | -135.0 | 2020-10-30 04:24:49 | Yukon, Canada | ||
2020-10-29 | Central African Republic | 4863 | 62 | 1924 | 2877 | 6.6111 | 20.9394 | 2020-10-30 04:24:49 | Central African Republic | |||
2020-10-29 | Chad | 1473 | 97 | 1307 | 69 | 15.4542 | 18.7322 | 2020-10-30 04:24:49 | Chad | |||
2020-10-29 | Chile | Antofagasta | 21302 | 533 | 20477 | 292 | -23.6509 | -70.3975 | 2020-10-30 04:24:49 | Antofagasta, Chile | ||
2020-10-29 | Chile | Araucania | 12026 | 151 | 10852 | 1023 | -38.9489 | -72.3311 | 2020-10-30 04:24:49 | Araucania, Chile | ||
2020-10-29 | Chile | Arica y Parinacota | 9517 | 179 | 9074 | 264 | -18.594 | -69.4785 | 2020-10-30 04:24:49 | Arica y Parinacota, Chile | ||
2020-10-29 | Chile | Atacama | 7816 | 84 | 7594 | 138 | -27.5661 | -70.0503 | 2020-10-30 04:24:49 | Atacama, Chile | ||
2020-10-29 | Chile | Aysen | 1011 | 5 | 939 | 67 | -45.9864 | -73.7669 | 2020-10-30 04:24:49 | Aysen, Chile | ||
2020-10-29 | Chile | Biobio | 29106 | 473 | 27365 | 1268 | -37.4464 | -72.1416 | 2020-10-30 04:24:49 | Biobio, Chile | ||
2020-10-29 | Chile | Coquimbo | 12649 | 242 | 12314 | 93 | -29.959 | -71.3389 | 2020-10-30 04:24:49 | Coquimbo, Chile | ||
2020-10-29 | Chile | Los Lagos | 14464 | 128 | 13164 | 1172 | -41.9198 | -72.1416 | 2020-10-30 04:24:49 | Los Lagos, Chile | ||
2020-10-29 | Chile | Los Rios | 3314 | 31 | 2938 | 345 | -40.231 | -72.3311 | 2020-10-30 04:24:49 | Los Rios, Chile | ||
2020-10-29 | Chile | Magallanes | 12093 | 134 | 11547 | 412 | -52.368 | -70.9863 | 2020-10-30 04:24:49 | Magallanes, Chile | ||
2020-10-29 | Chile | Maule | 18657 | 414 | 17595 | 648 | -35.5183 | -71.6885 | 2020-10-30 04:24:49 | Maule, Chile | ||
2020-10-29 | Chile | Metropolitana | 296129 | 9814 | 284279 | 2036 | -33.4376 | -70.6505 | 2020-10-30 04:24:49 | Metropolitana, Chile | ||
2020-10-29 | Chile | Nuble | 7359 | 147 | 7007 | 205 | -36.7226 | -71.7622 | 2020-10-30 04:24:49 | Nuble, Chile | ||
2020-10-29 | Chile | OHiggins | 18563 | 493 | 17744 | 326 | -34.5755 | -71.0022 | 2020-10-30 04:24:49 | OHiggins, Chile | ||
2020-10-29 | Chile | Tarapaca | 12806 | 243 | 12300 | 263 | -19.9232 | -69.5132 | 2020-10-30 04:24:49 | Tarapaca, Chile | ||
2020-10-29 | Chile | Unknown | 50 | 1 | 50 | 0 | 2020-10-30 04:24:49 | Unknown, Chile | ||||
2020-10-29 | Chile | Valparaiso | 30188 | 1046 | 28683 | 459 | -33.0472 | -71.6127 | 2020-10-30 04:24:49 | Valparaiso, Chile | ||
2020-10-29 | China | Anhui | 991 | 6 | 985 | 0 | 31.8257 | 117.2264 | 2020-10-30 04:24:49 | Anhui, China |
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CREATE VIEW daily_reports AS select * from johns_hopkins_csse_daily_reports;