johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
67 rows where "day" is on date 2022-09-27 and province_or_state = "South Dakota" sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3997487 | 3997487 | 2022-09-27 | US | South Dakota | Aurora | 46003 | 856 | 17 | 0 | 43.71757685 | -98.56050467 | 2022-09-28 04:23:01 | Aurora, South Dakota, US | |
3997488 | 3997488 | 2022-09-27 | US | South Dakota | Beadle | 46005 | 5148 | 63 | 0 | 44.41464384 | -98.27858469 | 2022-09-28 04:23:01 | Beadle, South Dakota, US | |
3997489 | 3997489 | 2022-09-27 | US | South Dakota | Bennett | 46007 | 855 | 15 | 0 | 43.19486375 | -101.6665572 | 2022-09-28 04:23:01 | Bennett, South Dakota, US | |
3997490 | 3997490 | 2022-09-27 | US | South Dakota | Bon Homme | 46009 | 2401 | 41 | 0 | 42.98914167 | -97.88592746 | 2022-09-28 04:23:01 | Bon Homme, South Dakota, US | |
3997491 | 3997491 | 2022-09-27 | US | South Dakota | Brookings | 46011 | 8889 | 59 | 0 | 44.36974375 | -96.79079945 | 2022-09-28 04:23:01 | Brookings, South Dakota, US | |
3997492 | 3997492 | 2022-09-27 | US | South Dakota | Brown | 46013 | 11177 | 124 | 0 | 45.58994323 | -98.35165355 | 2022-09-28 04:23:01 | Brown, South Dakota, US | |
3997493 | 3997493 | 2022-09-27 | US | South Dakota | Brule | 46015 | 1582 | 23 | 0 | 43.71756379 | -99.08118954 | 2022-09-28 04:23:01 | Brule, South Dakota, US | |
3997494 | 3997494 | 2022-09-27 | US | South Dakota | Buffalo | 46017 | 655 | 18 | 0 | 44.07657829 | -99.20814467 | 2022-09-28 04:23:01 | Buffalo, South Dakota, US | |
3997495 | 3997495 | 2022-09-27 | US | South Dakota | Butte | 46019 | 3054 | 47 | 0 | 44.90608745 | -103.5079318 | 2022-09-28 04:23:01 | Butte, South Dakota, US | |
3997496 | 3997496 | 2022-09-27 | US | South Dakota | Campbell | 46021 | 295 | 7 | 0 | 45.77074915 | -100.0510181 | 2022-09-28 04:23:01 | Campbell, South Dakota, US | |
3997497 | 3997497 | 2022-09-27 | US | South Dakota | Charles Mix | 46023 | 3260 | 36 | 0 | 43.20660134 | -98.58856175 | 2022-09-28 04:23:01 | Charles Mix, South Dakota, US | |
3997498 | 3997498 | 2022-09-27 | US | South Dakota | Clark | 46025 | 879 | 11 | 0 | 44.85834507 | -97.72925109 | 2022-09-28 04:23:01 | Clark, South Dakota, US | |
3997499 | 3997499 | 2022-09-27 | US | South Dakota | Clay | 46027 | 3730 | 24 | 0 | 42.91296147 | -96.97656917 | 2022-09-28 04:23:01 | Clay, South Dakota, US | |
3997500 | 3997500 | 2022-09-27 | US | South Dakota | Codington | 46029 | 9589 | 103 | 0 | 44.97788119 | -97.18827677 | 2022-09-28 04:23:01 | Codington, South Dakota, US | |
3997501 | 3997501 | 2022-09-27 | US | South Dakota | Corson | 46031 | 1132 | 18 | 0 | 45.70889983 | -101.1970473 | 2022-09-28 04:23:01 | Corson, South Dakota, US | |
3997502 | 3997502 | 2022-09-27 | US | South Dakota | Custer | 46033 | 2351 | 28 | 0 | 43.67741105 | -103.4534521 | 2022-09-28 04:23:01 | Custer, South Dakota, US | |
3997503 | 3997503 | 2022-09-27 | US | South Dakota | Davison | 46035 | 6466 | 82 | 0 | 43.67490933 | -98.14458906 | 2022-09-28 04:23:01 | Davison, South Dakota, US | |
3997504 | 3997504 | 2022-09-27 | US | South Dakota | Day | 46037 | 1391 | 36 | 0 | 45.367281 | -97.60737498 | 2022-09-28 04:23:01 | Day, South Dakota, US | |
3997505 | 3997505 | 2022-09-27 | US | South Dakota | Deuel | 46039 | 1117 | 12 | 0 | 44.75994309 | -96.66943645 | 2022-09-28 04:23:01 | Deuel, South Dakota, US | |
3997506 | 3997506 | 2022-09-27 | US | South Dakota | Dewey | 46041 | 3256 | 44 | 0 | 45.15639647 | -100.8709139 | 2022-09-28 04:23:01 | Dewey, South Dakota, US | |
3997507 | 3997507 | 2022-09-27 | US | South Dakota | Douglas | 46043 | 758 | 16 | 0 | 43.38520741 | -98.36978007 | 2022-09-28 04:23:01 | Douglas, South Dakota, US | |
3997508 | 3997508 | 2022-09-27 | US | South Dakota | Edmunds | 46045 | 1003 | 16 | 0 | 45.41846445 | -99.21545423 | 2022-09-28 04:23:01 | Edmunds, South Dakota, US | |
3997509 | 3997509 | 2022-09-27 | US | South Dakota | Fall River | 46047 | 2191 | 40 | 0 | 43.23929297 | -103.5275691 | 2022-09-28 04:23:01 | Fall River, South Dakota, US | |
3997510 | 3997510 | 2022-09-27 | US | South Dakota | Faulk | 46049 | 620 | 17 | 0 | 45.07082625 | -99.14535601 | 2022-09-28 04:23:01 | Faulk, South Dakota, US | |
3997511 | 3997511 | 2022-09-27 | US | South Dakota | Grant | 46051 | 2235 | 51 | 0 | 45.1723937 | -96.77002276 | 2022-09-28 04:23:01 | Grant, South Dakota, US | |
3997512 | 3997512 | 2022-09-27 | US | South Dakota | Gregory | 46053 | 1145 | 34 | 0 | 43.19419064 | -99.18883902 | 2022-09-28 04:23:01 | Gregory, South Dakota, US | |
3997513 | 3997513 | 2022-09-27 | US | South Dakota | Haakon | 46055 | 498 | 12 | 0 | 44.29299053 | -101.539099 | 2022-09-28 04:23:01 | Haakon, South Dakota, US | |
3997514 | 3997514 | 2022-09-27 | US | South Dakota | Hamlin | 46057 | 1684 | 41 | 0 | 44.67385954 | -97.18829593 | 2022-09-28 04:23:01 | Hamlin, South Dakota, US | |
3997515 | 3997515 | 2022-09-27 | US | South Dakota | Hand | 46059 | 622 | 13 | 0 | 44.54708407 | -99.00386459 | 2022-09-28 04:23:01 | Hand, South Dakota, US | |
3997516 | 3997516 | 2022-09-27 | US | South Dakota | Hanson | 46061 | 696 | 6 | 0 | 43.6746384 | -97.78715148 | 2022-09-28 04:23:01 | Hanson, South Dakota, US | |
3997517 | 3997517 | 2022-09-27 | US | South Dakota | Harding | 46063 | 212 | 3 | 0 | 45.58015551 | -103.4958629 | 2022-09-28 04:23:01 | Harding, South Dakota, US | |
3997518 | 3997518 | 2022-09-27 | US | South Dakota | Hughes | 46065 | 4736 | 62 | 0 | 44.39091534 | -99.99661148 | 2022-09-28 04:23:01 | Hughes, South Dakota, US | |
3997519 | 3997519 | 2022-09-27 | US | South Dakota | Hutchinson | 46067 | 1893 | 39 | 0 | 43.33449012 | -97.75536441 | 2022-09-28 04:23:01 | Hutchinson, South Dakota, US | |
3997520 | 3997520 | 2022-09-27 | US | South Dakota | Hyde | 46069 | 328 | 8 | 0 | 44.54747703 | -99.48572582 | 2022-09-28 04:23:01 | Hyde, South Dakota, US | |
3997521 | 3997521 | 2022-09-27 | US | South Dakota | Jackson | 46071 | 694 | 21 | 0 | 43.69318385 | -101.6255063 | 2022-09-28 04:23:01 | Jackson, South Dakota, US | |
3997522 | 3997522 | 2022-09-27 | US | South Dakota | Jerauld | 46073 | 446 | 20 | 0 | 44.06637798 | -98.62965972 | 2022-09-28 04:23:01 | Jerauld, South Dakota, US | |
3997523 | 3997523 | 2022-09-27 | US | South Dakota | Jones | 46075 | 187 | 2 | 0 | 43.96278565 | -100.6940008 | 2022-09-28 04:23:01 | Jones, South Dakota, US | |
3997524 | 3997524 | 2022-09-27 | US | South Dakota | Kingsbury | 46077 | 1433 | 23 | 0 | 44.36956169 | -97.4913945 | 2022-09-28 04:23:01 | Kingsbury, South Dakota, US | |
3997525 | 3997525 | 2022-09-27 | US | South Dakota | Lake | 46079 | 2496 | 28 | 0 | 44.02193107 | -97.12926365 | 2022-09-28 04:23:01 | Lake, South Dakota, US | |
3997526 | 3997526 | 2022-09-27 | US | South Dakota | Lawrence | 46081 | 7372 | 88 | 0 | 44.35919441 | -103.7929428 | 2022-09-28 04:23:01 | Lawrence, South Dakota, US | |
3997527 | 3997527 | 2022-09-27 | US | South Dakota | Lincoln | 46083 | 16570 | 105 | 0 | 43.27841182 | -96.7203905 | 2022-09-28 04:23:01 | Lincoln, South Dakota, US | |
3997528 | 3997528 | 2022-09-27 | US | South Dakota | Lyman | 46085 | 1317 | 13 | 0 | 43.89522709 | -99.85201878 | 2022-09-28 04:23:01 | Lyman, South Dakota, US | |
3997529 | 3997529 | 2022-09-27 | US | South Dakota | Marshall | 46091 | 868 | 14 | 0 | 45.75870838 | -97.59855639 | 2022-09-28 04:23:01 | Marshall, South Dakota, US | |
3997530 | 3997530 | 2022-09-27 | US | South Dakota | McCook | 46087 | 1444 | 32 | 0 | 43.6742571 | -97.36863144 | 2022-09-28 04:23:01 | McCook, South Dakota, US | |
3997531 | 3997531 | 2022-09-27 | US | South Dakota | McPherson | 46089 | 460 | 10 | 0 | 45.76626028 | -99.22118798 | 2022-09-28 04:23:01 | McPherson, South Dakota, US | |
3997532 | 3997532 | 2022-09-27 | US | South Dakota | Meade | 46093 | 7919 | 68 | 0 | 44.56676791 | -102.7162741 | 2022-09-28 04:23:01 | Meade, South Dakota, US | |
3997533 | 3997533 | 2022-09-27 | US | South Dakota | Mellette | 46095 | 601 | 8 | 0 | 43.58078848 | -100.7563186 | 2022-09-28 04:23:01 | Mellette, South Dakota, US | |
3997534 | 3997534 | 2022-09-27 | US | South Dakota | Miner | 46097 | 499 | 15 | 0 | 44.02197882 | -97.60992207 | 2022-09-28 04:23:01 | Miner, South Dakota, US | |
3997535 | 3997535 | 2022-09-27 | US | South Dakota | Minnehaha | 46099 | 61485 | 534 | 0 | 43.67441641 | -96.7910885 | 2022-09-28 04:23:01 | Minnehaha, South Dakota, US | |
3997536 | 3997536 | 2022-09-27 | US | South Dakota | Moody | 46101 | 1624 | 28 | 0 | 44.02266214 | -96.67081159 | 2022-09-28 04:23:01 | Moody, South Dakota, US | |
3997537 | 3997537 | 2022-09-27 | US | South Dakota | Oglala Lakota | 46102 | 4561 | 61 | 0 | 43.33749164 | -102.5555498 | 2022-09-28 04:23:01 | Oglala Lakota, South Dakota, US | |
3997538 | 3997538 | 2022-09-27 | US | South Dakota | Pennington | 46103 | 36782 | 357 | 0 | 44.0025835 | -102.8240777 | 2022-09-28 04:23:01 | Pennington, South Dakota, US | |
3997539 | 3997539 | 2022-09-27 | US | South Dakota | Perkins | 46105 | 757 | 19 | 0 | 45.49049506 | -102.4755586 | 2022-09-28 04:23:01 | Perkins, South Dakota, US | |
3997540 | 3997540 | 2022-09-27 | US | South Dakota | Potter | 46107 | 746 | 7 | 0 | 45.06583079 | -99.95498503 | 2022-09-28 04:23:01 | Potter, South Dakota, US | |
3997541 | 3997541 | 2022-09-27 | US | South Dakota | Roberts | 46109 | 2653 | 53 | 0 | 45.62975048 | -96.94672673 | 2022-09-28 04:23:01 | Roberts, South Dakota, US | |
3997542 | 3997542 | 2022-09-27 | US | South Dakota | Sanborn | 46111 | 633 | 8 | 0 | 44.02351092 | -98.0909816 | 2022-09-28 04:23:01 | Sanborn, South Dakota, US | |
3997543 | 3997543 | 2022-09-27 | US | South Dakota | Spink | 46115 | 1562 | 36 | 0 | 44.93837606 | -98.34626602 | 2022-09-28 04:23:01 | Spink, South Dakota, US | |
3997544 | 3997544 | 2022-09-27 | US | South Dakota | Stanley | 46117 | 694 | 8 | 0 | 44.41381872 | -100.7349153 | 2022-09-28 04:23:01 | Stanley, South Dakota, US | |
3997545 | 3997545 | 2022-09-27 | US | South Dakota | Sully | 46119 | 257 | 3 | 0 | 44.71571812 | -100.1278092 | 2022-09-28 04:23:01 | Sully, South Dakota, US | |
3997546 | 3997546 | 2022-09-27 | US | South Dakota | Todd | 46121 | 3391 | 52 | 0 | 43.19338568 | -100.7195503 | 2022-09-28 04:23:01 | Todd, South Dakota, US | |
3997547 | 3997547 | 2022-09-27 | US | South Dakota | Tripp | 46123 | 1553 | 26 | 0 | 43.34459388 | -99.8854891 | 2022-09-28 04:23:01 | Tripp, South Dakota, US | |
3997548 | 3997548 | 2022-09-27 | US | South Dakota | Turner | 46125 | 2111 | 63 | 0 | 43.3109081 | -97.14865776 | 2022-09-28 04:23:01 | Turner, South Dakota, US | |
3997549 | 3997549 | 2022-09-27 | US | South Dakota | Unassigned | 90046 | 0 | 0 | 0 | 45.77074915 | -99.99661148 | 2022-09-28 04:23:01 | Unassigned, South Dakota, US | |
3997550 | 3997550 | 2022-09-27 | US | South Dakota | Union | 46127 | 4202 | 52 | 0 | 42.83112163 | -96.6557828 | 2022-09-28 04:23:01 | Union, South Dakota, US | |
3997551 | 3997551 | 2022-09-27 | US | South Dakota | Walworth | 46129 | 1434 | 26 | 0 | 45.43019636 | -100.0307514 | 2022-09-28 04:23:01 | Walworth, South Dakota, US | |
3997552 | 3997552 | 2022-09-27 | US | South Dakota | Yankton | 46135 | 6492 | 60 | 0 | 43.00924485 | -97.39467635 | 2022-09-28 04:23:01 | Yankton, South Dakota, US | |
3997553 | 3997553 | 2022-09-27 | US | South Dakota | Ziebach | 46137 | 692 | 11 | 0 | 44.97881876 | -101.6654622 | 2022-09-28 04:23:01 | Ziebach, South Dakota, US |
Advanced export
JSON shape: default, array, newline-delimited
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]);