daily_reports (view)
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
4,016 rows where day = "2022-10-29" 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 107
- 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 60
- Montana 57
- West Virginia 56
- …
country_or_region >30
- US 3,279
- Russia 83
- Japan 49
- India 37
- China 34
- Colombia 34
- Mexico 33
- Ukraine 28
- Brazil 27
- Peru 26
- Italy 21
- Sweden 21
- Spain 20
- United Kingdom 19
- Chile 17
- Germany 17
- Malaysia 17
- Netherlands 17
- Canada 16
- Belgium 12
- France 12
- Australia 8
- Pakistan 7
- Denmark 3
- New Zealand 3
- Afghanistan 1
- Albania 1
- Algeria 1
- Andorra 1
- Angola 1
- …
day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-29 | Afghanistan | 202834 | 7821 | 0 | 33.93911 | 67.709953 | 2022-10-30 04:22:14 | Afghanistan | ||||
2022-10-29 | Albania | 332949 | 3593 | 0 | 41.1533 | 20.1683 | 2022-10-30 04:22:14 | Albania | ||||
2022-10-29 | Algeria | 270829 | 6881 | 0 | 28.0339 | 1.6596 | 2022-10-30 04:22:14 | Algeria | ||||
2022-10-29 | Andorra | 46535 | 155 | 0 | 42.5063 | 1.5218 | 2022-10-30 04:22:14 | Andorra | ||||
2022-10-29 | Angola | 103131 | 1917 | 0 | -11.2027 | 17.8739 | 2022-10-30 04:22:14 | Angola | ||||
2022-10-29 | Antarctica | 11 | 0 | 0 | -71.9499 | 23.347 | 2022-10-30 04:22:14 | Antarctica | ||||
2022-10-29 | Antigua and Barbuda | 9106 | 146 | 0 | 17.0608 | -61.7964 | 2022-10-30 04:22:14 | Antigua and Barbuda | ||||
2022-10-29 | Argentina | 9717546 | 129979 | 0 | -38.4161 | -63.6167 | 2022-10-30 04:22:14 | Argentina | ||||
2022-10-29 | Armenia | 445100 | 8706 | 0 | 40.0691 | 45.0382 | 2022-10-30 04:22:14 | Armenia | ||||
2022-10-29 | Australia | Australian Capital Territory | 208495 | 127 | 0 | -35.4735 | 149.0124 | 2022-10-30 04:22:14 | Australian Capital Territory, Australia | |||
2022-10-29 | Australia | New South Wales | 3549295 | 5430 | 0 | -33.8688 | 151.2093 | 2022-10-30 04:22:14 | New South Wales, Australia | |||
2022-10-29 | Australia | Northern Territory | 98498 | 75 | 0 | -12.4634 | 130.8456 | 2022-10-30 04:22:14 | Northern Territory, Australia | |||
2022-10-29 | Australia | Queensland | 1664371 | 2274 | 0 | -27.4698 | 153.0251 | 2022-10-30 04:22:14 | Queensland, Australia | |||
2022-10-29 | Australia | South Australia | 780106 | 1029 | 0 | -34.9285 | 138.6007 | 2022-10-30 04:22:14 | South Australia, Australia | |||
2022-10-29 | Australia | Tasmania | 252630 | 193 | 0 | -42.8821 | 147.3272 | 2022-10-30 04:22:14 | Tasmania, Australia | |||
2022-10-29 | Australia | Victoria | 2648473 | 5836 | 0 | -37.8136 | 144.9631 | 2022-10-30 04:22:14 | Victoria, Australia | |||
2022-10-29 | Australia | Western Australia | 1174785 | 696 | 0 | -31.9505 | 115.8605 | 2022-10-30 04:22:14 | Western Australia, Australia | |||
2022-10-29 | Austria | 5432162 | 20976 | 0 | 47.5162 | 14.5501 | 2022-10-30 04:22:14 | Austria | ||||
2022-10-29 | Azerbaijan | 823202 | 9944 | 0 | 40.1431 | 47.5769 | 2022-10-30 04:22:14 | Azerbaijan | ||||
2022-10-29 | Bahamas | 37369 | 833 | 0 | 25.025885 | -78.035889 | 2022-10-30 04:22:14 | Bahamas | ||||
2022-10-29 | Bahrain | 689480 | 1527 | 0 | 26.0275 | 50.55 | 2022-10-30 04:22:14 | Bahrain | ||||
2022-10-29 | Bangladesh | 2035037 | 29419 | 0 | 23.685 | 90.3563 | 2022-10-30 04:22:14 | Bangladesh | ||||
2022-10-29 | Barbados | 103014 | 560 | 0 | 13.1939 | -59.5432 | 2022-10-30 04:22:14 | Barbados | ||||
2022-10-29 | Belarus | 994037 | 7118 | 0 | 53.7098 | 27.9534 | 2022-10-30 04:22:14 | Belarus | ||||
2022-10-29 | Belgium | Antwerp | 743801 | 0 | 0 | 51.2195 | 4.4024 | 2022-10-30 04:22:14 | Antwerp, Belgium | |||
2022-10-29 | Belgium | Brussels | 495302 | 0 | 0 | 50.8503 | 4.3517 | 2022-10-30 04:22:14 | Brussels, Belgium | |||
2022-10-29 | Belgium | East Flanders | 624537 | 0 | 0 | 51.0362 | 3.7373 | 2022-10-30 04:22:14 | East Flanders, Belgium | |||
2022-10-29 | Belgium | Flemish Brabant | 451003 | 0 | 0 | 50.9167 | 4.5833 | 2022-10-30 04:22:14 | Flemish Brabant, Belgium | |||
2022-10-29 | Belgium | Hainaut | 506647 | 0 | 0 | 50.5257 | 4.0621 | 2022-10-30 04:22:14 | Hainaut, Belgium | |||
2022-10-29 | Belgium | Liege | 411290 | 0 | 0 | 50.4496 | 5.8492 | 2022-10-30 04:22:14 | Liege, Belgium | |||
2022-10-29 | Belgium | Limburg | 341174 | 0 | 0 | 50.9739 | 5.342 | 2022-10-30 04:22:14 | Limburg, Belgium | |||
2022-10-29 | Belgium | Luxembourg | 120557 | 0 | 0 | 50.0547 | 5.4677 | 2022-10-30 04:22:14 | Luxembourg, Belgium | |||
2022-10-29 | Belgium | Namur | 198563 | 0 | 0 | 50.331 | 4.8221 | 2022-10-30 04:22:14 | Namur, Belgium | |||
2022-10-29 | Belgium | Unknown | 61932 | 32902 | 0 | 2022-10-30 04:22:14 | Unknown, Belgium | |||||
2022-10-29 | Belgium | Walloon Brabant | 169642 | 0 | 0 | 50.4 | 4.35 | 2022-10-30 04:22:14 | Walloon Brabant, Belgium | |||
2022-10-29 | Belgium | West Flanders | 487791 | 0 | 0 | 51.0536 | 3.1458 | 2022-10-30 04:22:14 | West Flanders, Belgium | |||
2022-10-29 | Belize | 68943 | 687 | 0 | 17.1899 | -88.4976 | 2022-10-30 04:22:14 | Belize | ||||
2022-10-29 | Benin | 27782 | 163 | 0 | 9.3077 | 2.3158 | 2022-10-30 04:22:14 | Benin | ||||
2022-10-29 | Bhutan | 62331 | 21 | 0 | 27.5142 | 90.4336 | 2022-10-30 04:22:14 | Bhutan | ||||
2022-10-29 | Bolivia | 1109385 | 22239 | 0 | -16.2902 | -63.5887 | 2022-10-30 04:22:14 | Bolivia | ||||
2022-10-29 | Bosnia and Herzegovina | 399891 | 16169 | 0 | 43.9159 | 17.6791 | 2022-10-30 04:22:14 | Bosnia and Herzegovina | ||||
2022-10-29 | Botswana | 326344 | 2790 | 0 | -22.3285 | 24.6849 | 2022-10-30 04:22:14 | Botswana | ||||
2022-10-29 | Brazil | Acre | 149756 | 2029 | 0 | -9.0238 | -70.812 | 2022-10-30 04:22:14 | Acre, Brazil | |||
2022-10-29 | Brazil | Alagoas | 321498 | 7128 | 0 | -9.5713 | -36.782 | 2022-10-30 04:22:14 | Alagoas, Brazil | |||
2022-10-29 | Brazil | Amapa | 178377 | 2164 | 0 | 0.902 | -52.003 | 2022-10-30 04:22:14 | Amapa, Brazil | |||
2022-10-29 | Brazil | Amazonas | 618372 | 14356 | 0 | -3.4168 | -65.8561 | 2022-10-30 04:22:14 | Amazonas, Brazil | |||
2022-10-29 | Brazil | Bahia | 1703178 | 30785 | 0 | -12.5797 | -41.7007 | 2022-10-30 04:22:14 | Bahia, Brazil | |||
2022-10-29 | Brazil | Ceara | 1386262 | 27904 | 0 | -5.4984 | -39.3206 | 2022-10-30 04:22:14 | Ceara, Brazil | |||
2022-10-29 | Brazil | Distrito Federal | 842639 | 11831 | 0 | -15.7998 | -47.8645 | 2022-10-30 04:22:14 | Distrito Federal, Brazil | |||
2022-10-29 | Brazil | Espirito Santo | 1217030 | 14827 | 0 | -19.1834 | -40.3089 | 2022-10-30 04:22:14 | Espirito Santo, Brazil | |||
2022-10-29 | Brazil | Goias | 1723116 | 27578 | 0 | -15.827 | -49.8362 | 2022-10-30 04:22:14 | Goias, Brazil | |||
2022-10-29 | Brazil | Maranhao | 474667 | 10995 | 0 | -4.9609 | -45.2744 | 2022-10-30 04:22:14 | Maranhao, Brazil | |||
2022-10-29 | Brazil | Mato Grosso | 832189 | 14955 | 0 | -12.6819 | -56.9211 | 2022-10-30 04:22:14 | Mato Grosso, Brazil | |||
2022-10-29 | Brazil | Mato Grosso do Sul | 582160 | 10843 | 0 | -20.7722 | -54.7852 | 2022-10-30 04:22:14 | Mato Grosso do Sul, Brazil | |||
2022-10-29 | Brazil | Minas Gerais | 3883357 | 63876 | 0 | -18.5122 | -44.555 | 2022-10-30 04:22:14 | Minas Gerais, Brazil | |||
2022-10-29 | Brazil | Para | 844630 | 18883 | 0 | -1.9981 | -54.9306 | 2022-10-30 04:22:14 | Para, Brazil | |||
2022-10-29 | Brazil | Paraiba | 654227 | 10406 | 0 | -7.24 | -36.782 | 2022-10-30 04:22:14 | Paraiba, Brazil | |||
2022-10-29 | Brazil | Parana | 2752889 | 45427 | 0 | -25.2521 | -52.0215 | 2022-10-30 04:22:14 | Parana, Brazil | |||
2022-10-29 | Brazil | Pernambuco | 1063628 | 22399 | 0 | -8.8137 | -36.9541 | 2022-10-30 04:22:14 | Pernambuco, Brazil | |||
2022-10-29 | Brazil | Piaui | 404480 | 7959 | 0 | -7.7183 | -42.7289 | 2022-10-30 04:22:14 | Piaui, Brazil | |||
2022-10-29 | Brazil | Rio Grande do Norte | 557454 | 8482 | 0 | -5.4026 | -36.9541 | 2022-10-30 04:22:14 | Rio Grande do Norte, Brazil | |||
2022-10-29 | Brazil | Rio Grande do Sul | 2745859 | 41190 | 0 | -30.0346 | -51.2177 | 2022-10-30 04:22:14 | Rio Grande do Sul, Brazil | |||
2022-10-29 | Brazil | Rio de Janeiro | 2534326 | 75850 | 0 | -22.9068 | -43.1729 | 2022-10-30 04:22:14 | Rio de Janeiro, Brazil | |||
2022-10-29 | Brazil | Rondonia | 457626 | 7361 | 0 | -11.5057 | -63.5806 | 2022-10-30 04:22:14 | Rondonia, Brazil | |||
2022-10-29 | Brazil | Roraima | 175437 | 2175 | 0 | -2.7376 | -62.0751 | 2022-10-30 04:22:14 | Roraima, Brazil | |||
2022-10-29 | Brazil | Santa Catarina | 1883899 | 22409 | 0 | -27.2423 | -50.2189 | 2022-10-30 04:22:14 | Santa Catarina, Brazil | |||
2022-10-29 | Brazil | Sao Paulo | 6140622 | 175504 | 0 | -23.5505 | -46.6333 | 2022-10-30 04:22:14 | Sao Paulo, Brazil | |||
2022-10-29 | Brazil | Sergipe | 342912 | 6441 | 0 | -10.5741 | -37.3857 | 2022-10-30 04:22:14 | Sergipe, Brazil | |||
2022-10-29 | Brazil | Tocantins | 344668 | 4205 | 0 | -10.1753 | -48.2982 | 2022-10-30 04:22:14 | Tocantins, Brazil | |||
2022-10-29 | Brunei | 237656 | 225 | 0 | 4.5353 | 114.7277 | 2022-10-30 04:22:14 | Brunei | ||||
2022-10-29 | Bulgaria | 1278115 | 37860 | 0 | 42.7339 | 25.4858 | 2022-10-30 04:22:14 | Bulgaria | ||||
2022-10-29 | Burkina Faso | 21631 | 387 | 0 | 12.2383 | -1.5616 | 2022-10-30 04:22:14 | Burkina Faso | ||||
2022-10-29 | Burma | 631534 | 19481 | 0 | 21.9162 | 95.956 | 2022-10-30 04:22:14 | Burma | ||||
2022-10-29 | Burundi | 50470 | 38 | 0 | -3.3731 | 29.9189 | 2022-10-30 04:22:14 | Burundi | ||||
2022-10-29 | Cabo Verde | 62397 | 410 | 0 | 16.5388 | -23.0418 | 2022-10-30 04:22:14 | Cabo Verde | ||||
2022-10-29 | Cambodia | 137985 | 3056 | 0 | 11.55 | 104.9167 | 2022-10-30 04:22:14 | Cambodia | ||||
2022-10-29 | Cameroon | 123629 | 1960 | 0 | 3.848 | 11.5021 | 2022-10-30 04:22:14 | Cameroon | ||||
2022-10-29 | Canada | Alberta | 612693 | 5011 | 0 | 53.9333 | -116.5765 | 2022-10-30 04:22:14 | Alberta, Canada | |||
2022-10-29 | Canada | British Columbia | 387451 | 4485 | 0 | 53.7267 | -127.6476 | 2022-10-30 04:22:14 | British Columbia, Canada | |||
2022-10-29 | Canada | Diamond Princess | 0 | 1 | 0 | 0.0 | 0.0 | 2020-12-21 13:27:30 | Diamond Princess, Canada | |||
2022-10-29 | Canada | Grand Princess | 13 | 0 | 0 | 37.6489 | 0.0 | 2020-12-21 13:27:30 | Grand Princess, Canada | |||
2022-10-29 | Canada | Manitoba | 151319 | 2211 | 0 | 53.7609 | -98.8139 | 2022-10-30 04:22:14 | Manitoba, Canada | |||
2022-10-29 | Canada | New Brunswick | 80126 | 585 | 0 | 46.5653 | -66.4619 | 2022-10-30 04:22:14 | New Brunswick, Canada | |||
2022-10-29 | Canada | Newfoundland and Labrador | 52552 | 254 | 0 | 53.1355 | -57.6604 | 2022-10-30 04:22:14 | Newfoundland and Labrador, Canada | |||
2022-10-29 | Canada | Northwest Territories | 11511 | 22 | 0 | 64.8255 | -124.8457 | 2022-10-30 04:22:14 | Northwest Territories,Canada | |||
2022-10-29 | Canada | Nova Scotia | 129705 | 583 | 0 | 44.682 | -63.7443 | 2022-10-30 04:22:14 | Nova Scotia, Canada | |||
2022-10-29 | Canada | Nunavut | 3531 | 7 | 0 | 70.2998 | -83.1076 | 2022-10-30 04:22:14 | Nunavut, Canada | |||
2022-10-29 | Canada | Ontario | 1506871 | 14770 | 0 | 51.2538 | -85.3232 | 2022-10-30 04:22:14 | Ontario, Canada | |||
2022-10-29 | Canada | Prince Edward Island | 53408 | 66 | 0 | 46.5107 | -63.4168 | 2022-10-30 04:22:14 | Prince Edward Island, Canada | |||
2022-10-29 | Canada | Quebec | 1226692 | 17038 | 0 | 52.9399 | -73.5491 | 2022-10-30 04:22:14 | Quebec, Canada | |||
2022-10-29 | Canada | Repatriated Travellers | 13 | 0 | 0 | 2022-10-30 04:22:14 | Repatriated Travellers, Canada | |||||
2022-10-29 | Canada | Saskatchewan | 146888 | 1604 | 0 | 52.9399 | -106.4509 | 2022-10-30 04:22:14 | Saskatchewan, Canada | |||
2022-10-29 | Canada | Yukon | 4954 | 32 | 0 | 64.2823 | -135.0 | 2022-10-30 04:22:14 | Yukon, Canada | |||
2022-10-29 | Central African Republic | 15260 | 113 | 0 | 6.6111 | 20.9394 | 2022-10-30 04:22:14 | Central African Republic | ||||
2022-10-29 | Chad | 7620 | 194 | 0 | 15.4542 | 18.7322 | 2022-10-30 04:22:14 | Chad | ||||
2022-10-29 | Chile | Antofagasta | 168125 | 1898 | 0 | -23.6509 | -70.3975 | 2022-10-30 04:22:14 | Antofagasta, Chile | |||
2022-10-29 | Chile | Araucania | 273905 | 2756 | 0 | -38.9489 | -72.3311 | 2022-10-30 04:22:14 | Araucania, Chile | |||
2022-10-29 | Chile | Arica y Parinacota | 73195 | 864 | 0 | -18.594 | -69.4785 | 2022-10-30 04:22:14 | Arica y Parinacota, Chile | |||
2022-10-29 | Chile | Atacama | 103602 | 684 | 0 | -27.5661 | -70.0503 | 2022-10-30 04:22:14 | Atacama, Chile | |||
2022-10-29 | Chile | Aysen | 32481 | 202 | 0 | -45.9864 | -73.7669 | 2022-10-30 04:22:14 | Aysen, Chile |
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CREATE VIEW daily_reports AS select * from johns_hopkins_csse_daily_reports;