johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
4,016 rows where day = "2022-09-21" 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
- …
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1370164 | 1370164 | 2022-09-21 | Afghanistan | 197788 | 7796 | 0 | 33.93911 | 67.709953 | 2022-09-22 04:22:56 | Afghanistan | ||||
1370165 | 1370165 | 2022-09-21 | Albania | 331810 | 3589 | 0 | 41.1533 | 20.1683 | 2022-09-22 04:22:56 | Albania | ||||
1370166 | 1370166 | 2022-09-21 | Algeria | 270619 | 6879 | 0 | 28.0339 | 1.6596 | 2022-09-22 04:22:56 | Algeria | ||||
1370167 | 1370167 | 2022-09-21 | Andorra | 46147 | 155 | 0 | 42.5063 | 1.5218 | 2022-09-22 04:22:56 | Andorra | ||||
1370168 | 1370168 | 2022-09-21 | Angola | 103131 | 1917 | 0 | -11.2027 | 17.8739 | 2022-09-22 04:22:56 | Angola | ||||
1370169 | 1370169 | 2022-09-21 | Antarctica | 11 | 0 | 0 | -71.9499 | 23.347 | 2022-09-22 04:22:56 | Antarctica | ||||
1370170 | 1370170 | 2022-09-21 | Antigua and Barbuda | 9008 | 145 | 0 | 17.0608 | -61.7964 | 2022-09-22 04:22:56 | Antigua and Barbuda | ||||
1370171 | 1370171 | 2022-09-21 | Argentina | 9703938 | 129855 | 0 | -38.4161 | -63.6167 | 2022-09-22 04:22:56 | Argentina | ||||
1370172 | 1370172 | 2022-09-21 | Armenia | 441444 | 8679 | 0 | 40.0691 | 45.0382 | 2022-09-22 04:22:56 | Armenia | ||||
1370173 | 1370173 | 2022-09-21 | Australia | Australian Capital Territory | 204397 | 125 | 0 | -35.4735 | 149.0124 | 2022-09-22 04:22:56 | Australian Capital Territory, Australia | |||
1370174 | 1370174 | 2022-09-21 | Australia | New South Wales | 3481151 | 5163 | 0 | -33.8688 | 151.2093 | 2022-09-22 04:22:56 | New South Wales, Australia | |||
1370175 | 1370175 | 2022-09-21 | Australia | Northern Territory | 96768 | 70 | 0 | -12.4634 | 130.8456 | 2022-09-22 04:22:56 | Northern Territory, Australia | |||
1370176 | 1370176 | 2022-09-21 | Australia | Queensland | 1622985 | 2125 | 0 | -27.4698 | 153.0251 | 2022-09-22 04:22:56 | Queensland, Australia | |||
1370177 | 1370177 | 2022-09-21 | Australia | South Australia | 762643 | 907 | 0 | -34.9285 | 138.6007 | 2022-09-22 04:22:56 | South Australia, Australia | |||
1370178 | 1370178 | 2022-09-21 | Australia | Tasmania | 248012 | 185 | 0 | -42.8821 | 147.3272 | 2022-09-22 04:22:56 | Tasmania, Australia | |||
1370179 | 1370179 | 2022-09-21 | Australia | Victoria | 2603226 | 5606 | 0 | -37.8136 | 144.9631 | 2022-09-22 04:22:56 | Victoria, Australia | |||
1370180 | 1370180 | 2022-09-21 | Australia | Western Australia | 1145119 | 639 | 0 | -31.9505 | 115.8605 | 2022-09-22 04:22:56 | Western Australia, Australia | |||
1370181 | 1370181 | 2022-09-21 | Austria | 5042307 | 20690 | 0 | 47.5162 | 14.5501 | 2022-09-22 04:22:56 | Austria | ||||
1370182 | 1370182 | 2022-09-21 | Azerbaijan | 820098 | 9897 | 0 | 40.1431 | 47.5769 | 2022-09-22 04:22:56 | Azerbaijan | ||||
1370183 | 1370183 | 2022-09-21 | Bahamas | 37213 | 833 | 0 | 25.025885 | -78.035889 | 2022-09-22 04:22:56 | Bahamas | ||||
1370184 | 1370184 | 2022-09-21 | Bahrain | 677242 | 1520 | 0 | 26.0275 | 50.55 | 2022-09-22 04:22:56 | Bahrain | ||||
1370185 | 1370185 | 2022-09-21 | Bangladesh | 2019470 | 29345 | 0 | 23.685 | 90.3563 | 2022-09-22 04:22:56 | Bangladesh | ||||
1370186 | 1370186 | 2022-09-21 | Barbados | 102321 | 559 | 0 | 13.1939 | -59.5432 | 2022-09-22 04:22:56 | Barbados | ||||
1370187 | 1370187 | 2022-09-21 | Belarus | 994037 | 7118 | 0 | 53.7098 | 27.9534 | 2022-09-22 04:22:56 | Belarus | ||||
1370188 | 1370188 | 2022-09-21 | Belgium | Antwerp | 727537 | 0 | 0 | 51.2195 | 4.4024 | 2022-09-22 04:22:56 | Antwerp, Belgium | |||
1370189 | 1370189 | 2022-09-21 | Belgium | Brussels | 488341 | 0 | 0 | 50.8503 | 4.3517 | 2022-09-22 04:22:56 | Brussels, Belgium | |||
1370190 | 1370190 | 2022-09-21 | Belgium | East Flanders | 611688 | 0 | 0 | 51.0362 | 3.7373 | 2022-09-22 04:22:56 | East Flanders, Belgium | |||
1370191 | 1370191 | 2022-09-21 | Belgium | Flemish Brabant | 441252 | 0 | 0 | 50.9167 | 4.5833 | 2022-09-22 04:22:56 | Flemish Brabant, Belgium | |||
1370192 | 1370192 | 2022-09-21 | Belgium | Hainaut | 496426 | 0 | 0 | 50.5257 | 4.0621 | 2022-09-22 04:22:56 | Hainaut, Belgium | |||
1370193 | 1370193 | 2022-09-21 | Belgium | Liege | 403538 | 0 | 0 | 50.4496 | 5.8492 | 2022-09-22 04:22:56 | Liege, Belgium | |||
1370194 | 1370194 | 2022-09-21 | Belgium | Limburg | 332902 | 0 | 0 | 50.9739 | 5.342 | 2022-09-22 04:22:56 | Limburg, Belgium | |||
1370195 | 1370195 | 2022-09-21 | Belgium | Luxembourg | 117162 | 0 | 0 | 50.0547 | 5.4677 | 2022-09-22 04:22:56 | Luxembourg, Belgium | |||
1370196 | 1370196 | 2022-09-21 | Belgium | Namur | 193494 | 0 | 0 | 50.331 | 4.8221 | 2022-09-22 04:22:56 | Namur, Belgium | |||
1370197 | 1370197 | 2022-09-21 | Belgium | Unknown | 61025 | 32636 | 0 | 2022-09-22 04:22:56 | Unknown, Belgium | |||||
1370198 | 1370198 | 2022-09-21 | Belgium | Walloon Brabant | 165859 | 0 | 0 | 50.4 | 4.35 | 2022-09-22 04:22:56 | Walloon Brabant, Belgium | |||
1370199 | 1370199 | 2022-09-21 | Belgium | West Flanders | 477988 | 0 | 0 | 51.0536 | 3.1458 | 2022-09-22 04:22:56 | West Flanders, Belgium | |||
1370200 | 1370200 | 2022-09-21 | Belize | 68743 | 683 | 0 | 17.1899 | -88.4976 | 2022-09-22 04:22:56 | Belize | ||||
1370201 | 1370201 | 2022-09-21 | Benin | 27638 | 163 | 0 | 9.3077 | 2.3158 | 2022-09-22 04:22:56 | Benin | ||||
1370202 | 1370202 | 2022-09-21 | Bhutan | 61730 | 21 | 0 | 27.5142 | 90.4336 | 2022-09-22 04:22:56 | Bhutan | ||||
1370203 | 1370203 | 2022-09-21 | Bolivia | 1107456 | 22229 | 0 | -16.2902 | -63.5887 | 2022-09-22 04:22:56 | Bolivia | ||||
1370204 | 1370204 | 2022-09-21 | Bosnia and Herzegovina | 398035 | 16116 | 0 | 43.9159 | 17.6791 | 2022-09-22 04:22:56 | Bosnia and Herzegovina | ||||
1370205 | 1370205 | 2022-09-21 | Botswana | 326127 | 2787 | 0 | -22.3285 | 24.6849 | 2022-09-22 04:22:56 | Botswana | ||||
1370206 | 1370206 | 2022-09-21 | Brazil | Acre | 149573 | 2029 | 0 | -9.0238 | -70.812 | 2022-09-22 04:22:56 | Acre, Brazil | |||
1370207 | 1370207 | 2022-09-21 | Brazil | Alagoas | 320839 | 7121 | 0 | -9.5713 | -36.782 | 2022-09-22 04:22:56 | Alagoas, Brazil | |||
1370208 | 1370208 | 2022-09-21 | Brazil | Amapa | 178224 | 2163 | 0 | 0.902 | -52.003 | 2022-09-22 04:22:56 | Amapa, Brazil | |||
1370209 | 1370209 | 2022-09-21 | Brazil | Amazonas | 615762 | 14316 | 0 | -3.4168 | -65.8561 | 2022-09-22 04:22:56 | Amazonas, Brazil | |||
1370210 | 1370210 | 2022-09-21 | Brazil | Bahia | 1693010 | 30690 | 0 | -12.5797 | -41.7007 | 2022-09-22 04:22:56 | Bahia, Brazil | |||
1370211 | 1370211 | 2022-09-21 | Brazil | Ceara | 1383330 | 27626 | 0 | -5.4984 | -39.3206 | 2022-09-22 04:22:56 | Ceara, Brazil | |||
1370212 | 1370212 | 2022-09-21 | Brazil | Distrito Federal | 838501 | 11825 | 0 | -15.7998 | -47.8645 | 2022-09-22 04:22:56 | Distrito Federal, Brazil | |||
1370213 | 1370213 | 2022-09-21 | Brazil | Espirito Santo | 1215076 | 14814 | 0 | -19.1834 | -40.3089 | 2022-09-22 04:22:56 | Espirito Santo, Brazil | |||
1370214 | 1370214 | 2022-09-21 | Brazil | Goias | 1693781 | 27520 | 0 | -15.827 | -49.8362 | 2022-09-22 04:22:56 | Goias, Brazil | |||
1370215 | 1370215 | 2022-09-21 | Brazil | Maranhao | 470740 | 10993 | 0 | -4.9609 | -45.2744 | 2022-09-22 04:22:56 | Maranhao, Brazil | |||
1370216 | 1370216 | 2022-09-21 | Brazil | Mato Grosso | 829175 | 14942 | 0 | -12.6819 | -56.9211 | 2022-09-22 04:22:56 | Mato Grosso, Brazil | |||
1370217 | 1370217 | 2022-09-21 | Brazil | Mato Grosso do Sul | 579845 | 10823 | 0 | -20.7722 | -54.7852 | 2022-09-22 04:22:56 | Mato Grosso do Sul, Brazil | |||
1370218 | 1370218 | 2022-09-21 | Brazil | Minas Gerais | 3877442 | 63724 | 0 | -18.5122 | -44.555 | 2022-09-22 04:22:56 | Minas Gerais, Brazil | |||
1370219 | 1370219 | 2022-09-21 | Brazil | Para | 837568 | 18826 | 0 | -1.9981 | -54.9306 | 2022-09-22 04:22:56 | Para, Brazil | |||
1370220 | 1370220 | 2022-09-21 | Brazil | Paraiba | 652515 | 10403 | 0 | -7.24 | -36.782 | 2022-09-22 04:22:56 | Paraiba, Brazil | |||
1370221 | 1370221 | 2022-09-21 | Brazil | Parana | 2744606 | 45255 | 0 | -25.2521 | -52.0215 | 2022-09-22 04:22:56 | Parana, Brazil | |||
1370222 | 1370222 | 2022-09-21 | Brazil | Pernambuco | 1055542 | 22260 | 0 | -8.8137 | -36.9541 | 2022-09-22 04:22:56 | Pernambuco, Brazil | |||
1370223 | 1370223 | 2022-09-21 | Brazil | Piaui | 401305 | 7948 | 0 | -7.7183 | -42.7289 | 2022-09-22 04:22:56 | Piaui, Brazil | |||
1370224 | 1370224 | 2022-09-21 | Brazil | Rio Grande do Norte | 556263 | 8453 | 0 | -5.4026 | -36.9541 | 2022-09-22 04:22:56 | Rio Grande do Norte, Brazil | |||
1370225 | 1370225 | 2022-09-21 | Brazil | Rio Grande do Sul | 2728181 | 41010 | 0 | -30.0346 | -51.2177 | 2022-09-22 04:22:56 | Rio Grande do Sul, Brazil | |||
1370226 | 1370226 | 2022-09-21 | Brazil | Rio de Janeiro | 2507989 | 75639 | 0 | -22.9068 | -43.1729 | 2022-09-22 04:22:56 | Rio de Janeiro, Brazil | |||
1370227 | 1370227 | 2022-09-21 | Brazil | Rondonia | 455942 | 7356 | 0 | -11.5057 | -63.5806 | 2022-09-22 04:22:56 | Rondonia, Brazil | |||
1370228 | 1370228 | 2022-09-21 | Brazil | Roraima | 174977 | 2173 | 0 | -2.7376 | -62.0751 | 2022-09-22 04:22:56 | Roraima, Brazil | |||
1370229 | 1370229 | 2022-09-21 | Brazil | Santa Catarina | 1872522 | 22386 | 0 | -27.2423 | -50.2189 | 2022-09-22 04:22:56 | Santa Catarina, Brazil | |||
1370230 | 1370230 | 2022-09-21 | Brazil | Sao Paulo | 6072244 | 174495 | 0 | -23.5505 | -46.6333 | 2022-09-22 04:22:56 | Sao Paulo, Brazil | |||
1370231 | 1370231 | 2022-09-21 | Brazil | Sergipe | 342873 | 6434 | 0 | -10.5741 | -37.3857 | 2022-09-22 04:22:56 | Sergipe, Brazil | |||
1370232 | 1370232 | 2022-09-21 | Brazil | Tocantins | 344202 | 4204 | 0 | -10.1753 | -48.2982 | 2022-09-22 04:22:56 | Tocantins, Brazil | |||
1370233 | 1370233 | 2022-09-21 | Brunei | 226237 | 225 | 0 | 4.5353 | 114.7277 | 2022-09-22 04:22:56 | Brunei | ||||
1370234 | 1370234 | 2022-09-21 | Bulgaria | 1253772 | 37694 | 0 | 42.7339 | 25.4858 | 2022-09-22 04:22:56 | Bulgaria | ||||
1370235 | 1370235 | 2022-09-21 | Burkina Faso | 21128 | 387 | 0 | 12.2383 | -1.5616 | 2022-09-22 04:22:56 | Burkina Faso | ||||
1370236 | 1370236 | 2022-09-21 | Burma | 620035 | 19451 | 0 | 21.9162 | 95.956 | 2022-09-22 04:22:56 | Burma | ||||
1370237 | 1370237 | 2022-09-21 | Burundi | 50026 | 38 | 0 | -3.3731 | 29.9189 | 2022-09-22 04:22:56 | Burundi | ||||
1370238 | 1370238 | 2022-09-21 | Cabo Verde | 62356 | 410 | 0 | 16.5388 | -23.0418 | 2022-09-22 04:22:56 | Cabo Verde | ||||
1370239 | 1370239 | 2022-09-21 | Cambodia | 137813 | 3056 | 0 | 11.55 | 104.9167 | 2022-09-22 04:22:56 | Cambodia | ||||
1370240 | 1370240 | 2022-09-21 | Cameroon | 121652 | 1935 | 0 | 3.848 | 11.5021 | 2022-09-22 04:22:56 | Cameroon | ||||
1370241 | 1370241 | 2022-09-21 | Canada | Alberta | 605757 | 4872 | 0 | 53.9333 | -116.5765 | 2022-09-22 04:22:56 | Alberta, Canada | |||
1370242 | 1370242 | 2022-09-21 | Canada | British Columbia | 383628 | 4216 | 0 | 53.7267 | -127.6476 | 2022-09-22 04:22:56 | British Columbia, Canada | |||
1370243 | 1370243 | 2022-09-21 | Canada | Diamond Princess | 0 | 1 | 0 | 0.0 | 0.0 | 2020-12-21 13:27:30 | Diamond Princess, Canada | |||
1370244 | 1370244 | 2022-09-21 | Canada | Grand Princess | 13 | 0 | 0 | 37.6489 | 0.0 | 2020-12-21 13:27:30 | Grand Princess, Canada | |||
1370245 | 1370245 | 2022-09-21 | Canada | Manitoba | 149245 | 2137 | 0 | 53.7609 | -98.8139 | 2022-09-22 04:22:56 | Manitoba, Canada | |||
1370246 | 1370246 | 2022-09-21 | Canada | New Brunswick | 76316 | 476 | 0 | 46.5653 | -66.4619 | 2022-09-22 04:22:56 | New Brunswick, Canada | |||
1370247 | 1370247 | 2022-09-21 | Canada | Newfoundland and Labrador | 51446 | 235 | 0 | 53.1355 | -57.6604 | 2022-09-22 04:22:56 | Newfoundland and Labrador, Canada | |||
1370248 | 1370248 | 2022-09-21 | Canada | Northwest Territories | 11511 | 22 | 0 | 64.8255 | -124.8457 | 2022-09-22 04:22:56 | Northwest Territories,Canada | |||
1370249 | 1370249 | 2022-09-21 | Canada | Nova Scotia | 123549 | 518 | 0 | 44.682 | -63.7443 | 2022-09-22 04:22:56 | Nova Scotia, Canada | |||
1370250 | 1370250 | 2022-09-21 | Canada | Nunavut | 3531 | 7 | 0 | 70.2998 | -83.1076 | 2022-09-22 04:22:56 | Nunavut, Canada | |||
1370251 | 1370251 | 2022-09-21 | Canada | Ontario | 1453813 | 14291 | 0 | 51.2538 | -85.3232 | 2022-09-22 04:22:56 | Ontario, Canada | |||
1370252 | 1370252 | 2022-09-21 | Canada | Prince Edward Island | 51410 | 57 | 0 | 46.5107 | -63.4168 | 2022-09-22 04:22:56 | Prince Edward Island, Canada | |||
1370253 | 1370253 | 2022-09-21 | Canada | Quebec | 1193035 | 16697 | 0 | 52.9399 | -73.5491 | 2022-09-22 04:22:56 | Quebec, Canada | |||
1370254 | 1370254 | 2022-09-21 | Canada | Repatriated Travellers | 13 | 0 | 0 | 2022-09-22 04:22:56 | Repatriated Travellers, Canada | |||||
1370255 | 1370255 | 2022-09-21 | Canada | Saskatchewan | 143747 | 1507 | 0 | 52.9399 | -106.4509 | 2022-09-22 04:22:56 | Saskatchewan, Canada | |||
1370256 | 1370256 | 2022-09-21 | Canada | Yukon | 4884 | 31 | 0 | 64.2823 | -135.0 | 2022-09-22 04:22:56 | Yukon, Canada | |||
1370257 | 1370257 | 2022-09-21 | Central African Republic | 14904 | 113 | 0 | 6.6111 | 20.9394 | 2022-09-22 04:22:56 | Central African Republic | ||||
1370258 | 1370258 | 2022-09-21 | Chad | 7573 | 193 | 0 | 15.4542 | 18.7322 | 2022-09-22 04:22:56 | Chad | ||||
1370259 | 1370259 | 2022-09-21 | Chile | Antofagasta | 164812 | 1879 | 0 | -23.6509 | -70.3975 | 2022-09-22 04:22:56 | Antofagasta, Chile | |||
1370260 | 1370260 | 2022-09-21 | Chile | Araucania | 263909 | 2717 | 0 | -38.9489 | -72.3311 | 2022-09-22 04:22:56 | Araucania, Chile | |||
1370261 | 1370261 | 2022-09-21 | Chile | Arica y Parinacota | 72180 | 858 | 0 | -18.594 | -69.4785 | 2022-09-22 04:22:56 | Arica y Parinacota, Chile | |||
1370262 | 1370262 | 2022-09-21 | Chile | Atacama | 100868 | 676 | 0 | -27.5661 | -70.0503 | 2022-09-22 04:22:56 | Atacama, Chile | |||
1370263 | 1370263 | 2022-09-21 | Chile | Aysen | 31450 | 200 | 0 | -45.9864 | -73.7669 | 2022-09-22 04:22:56 | 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]);