johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
67 rows where "day" is on date 2022-04-10 and province_or_state = "South Dakota" sorted by day descending
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Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1579000 | 1579000 | 2022-04-10 | US | South Dakota | Aurora | 46003 | 768 | 17 | 0 | 43.71757685 | -98.56050467 | 2022-04-11 04:21:02 | Aurora, South Dakota, US | |
1579001 | 1579001 | 2022-04-10 | US | South Dakota | Beadle | 46005 | 4585 | 59 | 0 | 44.41464384 | -98.27858469 | 2022-04-11 04:21:02 | Beadle, South Dakota, US | |
1579002 | 1579002 | 2022-04-10 | US | South Dakota | Bennett | 46007 | 788 | 14 | 0 | 43.19486375 | -101.6665572 | 2022-04-11 04:21:02 | Bennett, South Dakota, US | |
1579003 | 1579003 | 2022-04-10 | US | South Dakota | Bon Homme | 46009 | 2291 | 38 | 0 | 42.98914167 | -97.88592746 | 2022-04-11 04:21:02 | Bon Homme, South Dakota, US | |
1579004 | 1579004 | 2022-04-10 | US | South Dakota | Brookings | 46011 | 8096 | 52 | 0 | 44.36974375 | -96.79079945 | 2022-04-11 04:21:02 | Brookings, South Dakota, US | |
1579005 | 1579005 | 2022-04-10 | US | South Dakota | Brown | 46013 | 10289 | 121 | 0 | 45.58994323 | -98.35165355 | 2022-04-11 04:21:02 | Brown, South Dakota, US | |
1579006 | 1579006 | 2022-04-10 | US | South Dakota | Brule | 46015 | 1411 | 20 | 0 | 43.71756379 | -99.08118954 | 2022-04-11 04:21:02 | Brule, South Dakota, US | |
1579007 | 1579007 | 2022-04-10 | US | South Dakota | Buffalo | 46017 | 619 | 18 | 0 | 44.07657829 | -99.20814467 | 2022-04-11 04:21:02 | Buffalo, South Dakota, US | |
1579008 | 1579008 | 2022-04-10 | US | South Dakota | Butte | 46019 | 2750 | 44 | 0 | 44.90608745 | -103.5079318 | 2022-04-11 04:21:02 | Butte, South Dakota, US | |
1579009 | 1579009 | 2022-04-10 | US | South Dakota | Campbell | 46021 | 266 | 7 | 0 | 45.77074915 | -100.0510181 | 2022-04-11 04:21:02 | Campbell, South Dakota, US | |
1579010 | 1579010 | 2022-04-10 | US | South Dakota | Charles Mix | 46023 | 2927 | 35 | 0 | 43.20660134 | -98.58856175 | 2022-04-11 04:21:02 | Charles Mix, South Dakota, US | |
1579011 | 1579011 | 2022-04-10 | US | South Dakota | Clark | 46025 | 797 | 9 | 0 | 44.85834507 | -97.72925109 | 2022-04-11 04:21:02 | Clark, South Dakota, US | |
1579012 | 1579012 | 2022-04-10 | US | South Dakota | Clay | 46027 | 3489 | 21 | 0 | 42.91296147 | -96.97656917 | 2022-04-11 04:21:02 | Clay, South Dakota, US | |
1579013 | 1579013 | 2022-04-10 | US | South Dakota | Codington | 46029 | 8408 | 99 | 0 | 44.97788119 | -97.18827677 | 2022-04-11 04:21:02 | Codington, South Dakota, US | |
1579014 | 1579014 | 2022-04-10 | US | South Dakota | Corson | 46031 | 1067 | 17 | 0 | 45.70889983 | -101.1970473 | 2022-04-11 04:21:02 | Corson, South Dakota, US | |
1579015 | 1579015 | 2022-04-10 | US | South Dakota | Custer | 46033 | 2027 | 25 | 0 | 43.67741105 | -103.45345209999999 | 2022-04-11 04:21:02 | Custer, South Dakota, US | |
1579016 | 1579016 | 2022-04-10 | US | South Dakota | Davison | 46035 | 5880 | 77 | 0 | 43.67490933 | -98.14458906 | 2022-04-11 04:21:02 | Davison, South Dakota, US | |
1579017 | 1579017 | 2022-04-10 | US | South Dakota | Day | 46037 | 1275 | 35 | 0 | 45.367281 | -97.60737498 | 2022-04-11 04:21:02 | Day, South Dakota, US | |
1579018 | 1579018 | 2022-04-10 | US | South Dakota | Deuel | 46039 | 1035 | 12 | 0 | 44.75994309 | -96.66943645 | 2022-04-11 04:21:02 | Deuel, South Dakota, US | |
1579019 | 1579019 | 2022-04-10 | US | South Dakota | Dewey | 46041 | 3137 | 42 | 0 | 45.15639647 | -100.8709139 | 2022-04-11 04:21:02 | Dewey, South Dakota, US | |
1579020 | 1579020 | 2022-04-10 | US | South Dakota | Douglas | 46043 | 681 | 16 | 0 | 43.38520741 | -98.36978007 | 2022-04-11 04:21:02 | Douglas, South Dakota, US | |
1579021 | 1579021 | 2022-04-10 | US | South Dakota | Edmunds | 46045 | 939 | 16 | 0 | 45.41846445 | -99.21545423 | 2022-04-11 04:21:02 | Edmunds, South Dakota, US | |
1579022 | 1579022 | 2022-04-10 | US | South Dakota | Fall River | 46047 | 1804 | 39 | 0 | 43.23929297 | -103.5275691 | 2022-04-11 04:21:02 | Fall River, South Dakota, US | |
1579023 | 1579023 | 2022-04-10 | US | South Dakota | Faulk | 46049 | 565 | 16 | 0 | 45.07082625 | -99.14535601 | 2022-04-11 04:21:02 | Faulk, South Dakota, US | |
1579024 | 1579024 | 2022-04-10 | US | South Dakota | Grant | 46051 | 2039 | 50 | 0 | 45.1723937 | -96.77002276 | 2022-04-11 04:21:02 | Grant, South Dakota, US | |
1579025 | 1579025 | 2022-04-10 | US | South Dakota | Gregory | 46053 | 1064 | 34 | 0 | 43.19419064 | -99.18883902 | 2022-04-11 04:21:02 | Gregory, South Dakota, US | |
1579026 | 1579026 | 2022-04-10 | US | South Dakota | Haakon | 46055 | 451 | 12 | 0 | 44.29299053 | -101.539099 | 2022-04-11 04:21:02 | Haakon, South Dakota, US | |
1579027 | 1579027 | 2022-04-10 | US | South Dakota | Hamlin | 46057 | 1500 | 41 | 0 | 44.67385954 | -97.18829593 | 2022-04-11 04:21:02 | Hamlin, South Dakota, US | |
1579028 | 1579028 | 2022-04-10 | US | South Dakota | Hand | 46059 | 561 | 12 | 0 | 44.54708407 | -99.00386459 | 2022-04-11 04:21:02 | Hand, South Dakota, US | |
1579029 | 1579029 | 2022-04-10 | US | South Dakota | Hanson | 46061 | 655 | 6 | 0 | 43.6746384 | -97.78715148 | 2022-04-11 04:21:02 | Hanson, South Dakota, US | |
1579030 | 1579030 | 2022-04-10 | US | South Dakota | Harding | 46063 | 201 | 3 | 0 | 45.58015551 | -103.4958629 | 2022-04-11 04:21:02 | Harding, South Dakota, US | |
1579031 | 1579031 | 2022-04-10 | US | South Dakota | Hughes | 46065 | 4313 | 58 | 0 | 44.39091534 | -99.99661148 | 2022-04-11 04:21:02 | Hughes, South Dakota, US | |
1579032 | 1579032 | 2022-04-10 | US | South Dakota | Hutchinson | 46067 | 1730 | 36 | 0 | 43.33449012 | -97.75536441 | 2022-04-11 04:21:02 | Hutchinson, South Dakota, US | |
1579033 | 1579033 | 2022-04-10 | US | South Dakota | Hyde | 46069 | 306 | 8 | 0 | 44.54747703 | -99.48572582 | 2022-04-11 04:21:02 | Hyde, South Dakota, US | |
1579034 | 1579034 | 2022-04-10 | US | South Dakota | Jackson | 46071 | 629 | 21 | 0 | 43.69318385 | -101.6255063 | 2022-04-11 04:21:02 | Jackson, South Dakota, US | |
1579035 | 1579035 | 2022-04-10 | US | South Dakota | Jerauld | 46073 | 415 | 20 | 0 | 44.06637798 | -98.62965972 | 2022-04-11 04:21:02 | Jerauld, South Dakota, US | |
1579036 | 1579036 | 2022-04-10 | US | South Dakota | Jones | 46075 | 177 | 2 | 0 | 43.96278565 | -100.6940008 | 2022-04-11 04:21:02 | Jones, South Dakota, US | |
1579037 | 1579037 | 2022-04-10 | US | South Dakota | Kingsbury | 46077 | 1312 | 21 | 0 | 44.36956169 | -97.4913945 | 2022-04-11 04:21:02 | Kingsbury, South Dakota, US | |
1579038 | 1579038 | 2022-04-10 | US | South Dakota | Lake | 46079 | 2326 | 28 | 0 | 44.02193107 | -97.12926365 | 2022-04-11 04:21:02 | Lake, South Dakota, US | |
1579039 | 1579039 | 2022-04-10 | US | South Dakota | Lawrence | 46081 | 6565 | 83 | 0 | 44.35919441 | -103.79294279999999 | 2022-04-11 04:21:02 | Lawrence, South Dakota, US | |
1579040 | 1579040 | 2022-04-10 | US | South Dakota | Lincoln | 46083 | 15484 | 102 | 0 | 43.27841182 | -96.72039050000001 | 2022-04-11 04:21:02 | Lincoln, South Dakota, US | |
1579041 | 1579041 | 2022-04-10 | US | South Dakota | Lyman | 46085 | 1203 | 12 | 0 | 43.89522709 | -99.85201878 | 2022-04-11 04:21:02 | Lyman, South Dakota, US | |
1579042 | 1579042 | 2022-04-10 | US | South Dakota | Marshall | 46091 | 784 | 13 | 0 | 45.75870838 | -97.59855639 | 2022-04-11 04:21:02 | Marshall, South Dakota, US | |
1579043 | 1579043 | 2022-04-10 | US | South Dakota | McCook | 46087 | 1340 | 31 | 0 | 43.6742571 | -97.36863144 | 2022-04-11 04:21:02 | McCook, South Dakota, US | |
1579044 | 1579044 | 2022-04-10 | US | South Dakota | McPherson | 46089 | 425 | 9 | 0 | 45.76626028 | -99.22118798 | 2022-04-11 04:21:02 | McPherson, South Dakota, US | |
1579045 | 1579045 | 2022-04-10 | US | South Dakota | Meade | 46093 | 7004 | 62 | 0 | 44.56676791 | -102.71627409999999 | 2022-04-11 04:21:02 | Meade, South Dakota, US | |
1579046 | 1579046 | 2022-04-10 | US | South Dakota | Mellette | 46095 | 527 | 8 | 0 | 43.58078848 | -100.7563186 | 2022-04-11 04:21:02 | Mellette, South Dakota, US | |
1579047 | 1579047 | 2022-04-10 | US | South Dakota | Miner | 46097 | 456 | 13 | 0 | 44.02197882 | -97.60992207 | 2022-04-11 04:21:02 | Miner, South Dakota, US | |
1579048 | 1579048 | 2022-04-10 | US | South Dakota | Minnehaha | 46099 | 57034 | 513 | 0 | 43.67441641 | -96.7910885 | 2022-04-11 04:21:02 | Minnehaha, South Dakota, US | |
1579049 | 1579049 | 2022-04-10 | US | South Dakota | Moody | 46101 | 1376 | 28 | 0 | 44.02266214 | -96.67081159 | 2022-04-11 04:21:02 | Moody, South Dakota, US | |
1579050 | 1579050 | 2022-04-10 | US | South Dakota | Oglala Lakota | 46102 | 3923 | 62 | 0 | 43.33749164 | -102.55554980000001 | 2022-04-11 04:21:02 | Oglala Lakota, South Dakota, US | |
1579051 | 1579051 | 2022-04-10 | US | South Dakota | Pennington | 46103 | 32674 | 341 | 0 | 44.0025835 | -102.8240777 | 2022-04-11 04:21:02 | Pennington, South Dakota, US | |
1579052 | 1579052 | 2022-04-10 | US | South Dakota | Perkins | 46105 | 682 | 18 | 0 | 45.49049506 | -102.47555859999999 | 2022-04-11 04:21:02 | Perkins, South Dakota, US | |
1579053 | 1579053 | 2022-04-10 | US | South Dakota | Potter | 46107 | 704 | 7 | 0 | 45.06583079 | -99.95498503 | 2022-04-11 04:21:02 | Potter, South Dakota, US | |
1579054 | 1579054 | 2022-04-10 | US | South Dakota | Roberts | 46109 | 2427 | 53 | 0 | 45.62975048 | -96.94672673 | 2022-04-11 04:21:02 | Roberts, South Dakota, US | |
1579055 | 1579055 | 2022-04-10 | US | South Dakota | Sanborn | 46111 | 573 | 6 | 0 | 44.02351092 | -98.09098159999999 | 2022-04-11 04:21:02 | Sanborn, South Dakota, US | |
1579056 | 1579056 | 2022-04-10 | US | South Dakota | Spink | 46115 | 1414 | 35 | 0 | 44.93837606 | -98.34626602 | 2022-04-11 04:21:02 | Spink, South Dakota, US | |
1579057 | 1579057 | 2022-04-10 | US | South Dakota | Stanley | 46117 | 635 | 7 | 0 | 44.41381872 | -100.7349153 | 2022-04-11 04:21:02 | Stanley, South Dakota, US | |
1579058 | 1579058 | 2022-04-10 | US | South Dakota | Sully | 46119 | 245 | 3 | 0 | 44.71571812 | -100.1278092 | 2022-04-11 04:21:02 | Sully, South Dakota, US | |
1579059 | 1579059 | 2022-04-10 | US | South Dakota | Todd | 46121 | 2972 | 52 | 0 | 43.19338568 | -100.71955030000001 | 2022-04-11 04:21:02 | Todd, South Dakota, US | |
1579060 | 1579060 | 2022-04-10 | US | South Dakota | Tripp | 46123 | 1379 | 24 | 0 | 43.34459388 | -99.8854891 | 2022-04-11 04:21:02 | Tripp, South Dakota, US | |
1579061 | 1579061 | 2022-04-10 | US | South Dakota | Turner | 46125 | 1964 | 62 | 0 | 43.3109081 | -97.14865776 | 2022-04-11 04:21:02 | Turner, South Dakota, US | |
1579062 | 1579062 | 2022-04-10 | US | South Dakota | Unassigned | 90046 | 0 | 0 | 0 | 45.77074915 | -99.99661148 | 2022-04-11 04:21:02 | Unassigned, South Dakota, US | |
1579063 | 1579063 | 2022-04-10 | US | South Dakota | Union | 46127 | 4006 | 52 | 0 | 42.83112163 | -96.6557828 | 2022-04-11 04:21:02 | Union, South Dakota, US | |
1579064 | 1579064 | 2022-04-10 | US | South Dakota | Walworth | 46129 | 1312 | 26 | 0 | 45.43019636 | -100.03075140000001 | 2022-04-11 04:21:02 | Walworth, South Dakota, US | |
1579065 | 1579065 | 2022-04-10 | US | South Dakota | Yankton | 46135 | 5902 | 59 | 0 | 43.00924485 | -97.39467635 | 2022-04-11 04:21:02 | Yankton, South Dakota, US | |
1579066 | 1579066 | 2022-04-10 | US | South Dakota | Ziebach | 46137 | 663 | 11 | 0 | 44.97881876 | -101.6654622 | 2022-04-11 04:21:02 | Ziebach, South Dakota, US |
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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]);