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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | |||
1370264 | 1370264 | 2022-09-21 | Chile | Biobio | 449067 | 4520 | 0 | -37.4464 | -72.1416 | 2022-09-22 04:22:56 | Biobio, Chile | |||
1370265 | 1370265 | 2022-09-21 | Chile | Coquimbo | 185763 | 1828 | 0 | -29.959 | -71.3389 | 2022-09-22 04:22:56 | Coquimbo, Chile | |||
1370266 | 1370266 | 2022-09-21 | Chile | Los Lagos | 224842 | 2423 | 0 | -41.9198 | -72.1416 | 2022-09-22 04:22:56 | Los Lagos, Chile | |||
1370267 | 1370267 | 2022-09-21 | Chile | Los Rios | 130393 | 1309 | 0 | -40.231 | -72.3311 | 2022-09-22 04:22:56 | Los Rios, Chile | |||
1370268 | 1370268 | 2022-09-21 | Chile | Magallanes | 61889 | 747 | 0 | -52.368 | -70.9863 | 2022-09-22 04:22:56 | Magallanes, Chile | |||
1370269 | 1370269 | 2022-09-21 | Chile | Maule | 306902 | 3114 | 0 | -35.5183 | -71.6885 | 2022-09-22 04:22:56 | Maule, Chile | |||
1370270 | 1370270 | 2022-09-21 | Chile | Metropolitana | 1740797 | 29617 | 0 | -33.4376 | -70.6505 | 2022-09-22 04:22:56 | Metropolitana, Chile | |||
1370271 | 1370271 | 2022-09-21 | Chile | Nuble | 132612 | 1194 | 0 | -36.7226 | -71.7622 | 2022-09-22 04:22:56 | Nuble, Chile | |||
1370272 | 1370272 | 2022-09-21 | Chile | OHiggins | 196051 | 2675 | 0 | -34.5755 | -71.0022 | 2022-09-22 04:22:56 | OHiggins, Chile | |||
1370273 | 1370273 | 2022-09-21 | Chile | Tarapaca | 102409 | 1135 | 0 | -19.9232 | -69.5132 | 2022-09-22 04:22:56 | Tarapaca, Chile | |||
1370274 | 1370274 | 2022-09-21 | Chile | Unknown | 42 | 2 | 0 | 2022-09-22 04:22:56 | Unknown, Chile | |||||
1370275 | 1370275 | 2022-09-21 | Chile | Valparaiso | 426435 | 6072 | 0 | -33.0472 | -71.6127 | 2022-09-22 04:22:56 | Valparaiso, Chile | |||
1370276 | 1370276 | 2022-09-21 | China | Anhui | 1506 | 6 | 0 | 31.8257 | 117.2264 | 2022-09-22 04:22:56 | Anhui, China | |||
1370277 | 1370277 | 2022-09-21 | China | Beijing | 4181 | 9 | 0 | 40.1824 | 116.4142 | 2022-09-22 04:22:56 | Beijing, China | |||
1370278 | 1370278 | 2022-09-21 | China | Chongqing | 1029 | 6 | 0 | 30.0572 | 107.874 | 2022-09-22 04:22:56 | Chongqing, China | |||
1370279 | 1370279 | 2022-09-21 | China | Fujian | 4281 | 1 | 0 | 26.0789 | 117.9874 | 2022-09-22 04:22:56 | Fujian, China | |||
1370280 | 1370280 | 2022-09-21 | China | Gansu | 1350 | 2 | 0 | 35.7518 | 104.2861 | 2022-09-22 04:22:56 | Gansu, China | |||
1370281 | 1370281 | 2022-09-21 | China | Guangdong | 9827 | 8 | 0 | 23.3417 | 113.4244 | 2022-09-22 04:22:56 | Guangdong, China | |||
1370282 | 1370282 | 2022-09-21 | China | Guangxi | 2328 | 2 | 0 | 23.8298 | 108.7881 | 2022-09-22 04:22:56 | Guangxi, China | |||
1370283 | 1370283 | 2022-09-21 | China | Guizhou | 407 | 2 | 0 | 26.8154 | 106.8748 | 2022-09-22 04:22:56 | Guizhou, China | |||
1370284 | 1370284 | 2022-09-21 | China | Hainan | 8954 | 6 | 0 | 19.1959 | 109.7453 | 2022-09-22 04:22:56 | Hainan, China | |||
1370285 | 1370285 | 2022-09-21 | China | Hebei | 2027 | 7 | 0 | 37.8957 | 114.9042 | 2022-09-22 04:22:56 | Hebei, China | |||
1370286 | 1370286 | 2022-09-21 | China | Heilongjiang | 3268 | 13 | 0 | 47.862 | 127.7615 | 2022-09-22 04:22:56 | Heilongjiang, China | |||
1370287 | 1370287 | 2022-09-21 | China | Henan | 3325 | 22 | 0 | 33.882 | 113.614 | 2022-09-22 04:22:56 | Henan, China | |||
1370288 | 1370288 | 2022-09-21 | China | Hong Kong | 1725036 | 9917 | 0 | 22.3 | 114.2 | 2022-09-22 04:22:56 | Hong Kong, China |
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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]);