ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
46 rows where "date" is on date 2021-04-02 and state = "South Carolina" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
fips >30
county >30
- Abbeville 1
- Aiken 1
- Allendale 1
- Anderson 1
- Bamberg 1
- Barnwell 1
- Beaufort 1
- Berkeley 1
- Calhoun 1
- Charleston 1
- Cherokee 1
- Chester 1
- Chesterfield 1
- Clarendon 1
- Colleton 1
- Darlington 1
- Dillon 1
- Dorchester 1
- Edgefield 1
- Fairfield 1
- Florence 1
- Georgetown 1
- Greenville 1
- Greenwood 1
- Hampton 1
- Horry 1
- Jasper 1
- Kershaw 1
- Lancaster 1
- Laurens 1
- …
state 1
- South Carolina · 46 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
1182533 | 1182533 | 2021-04-02 | Abbeville | South Carolina | 45001 | 2435 | 38 |
1182534 | 1182534 | 2021-04-02 | Aiken | South Carolina | 45003 | 16534 | 215 |
1182535 | 1182535 | 2021-04-02 | Allendale | South Carolina | 45005 | 893 | 15 |
1182536 | 1182536 | 2021-04-02 | Anderson | South Carolina | 45007 | 21843 | 497 |
1182537 | 1182537 | 2021-04-02 | Bamberg | South Carolina | 45009 | 1515 | 51 |
1182538 | 1182538 | 2021-04-02 | Barnwell | South Carolina | 45011 | 2480 | 54 |
1182539 | 1182539 | 2021-04-02 | Beaufort | South Carolina | 45013 | 16289 | 198 |
1182540 | 1182540 | 2021-04-02 | Berkeley | South Carolina | 45015 | 16298 | 184 |
1182541 | 1182541 | 2021-04-02 | Calhoun | South Carolina | 45017 | 1275 | 36 |
1182542 | 1182542 | 2021-04-02 | Charleston | South Carolina | 45019 | 40800 | 484 |
1182543 | 1182543 | 2021-04-02 | Cherokee | South Carolina | 45021 | 5771 | 148 |
1182544 | 1182544 | 2021-04-02 | Chester | South Carolina | 45023 | 3974 | 71 |
1182545 | 1182545 | 2021-04-02 | Chesterfield | South Carolina | 45025 | 4583 | 98 |
1182546 | 1182546 | 2021-04-02 | Clarendon | South Carolina | 45027 | 3296 | 105 |
1182547 | 1182547 | 2021-04-02 | Colleton | South Carolina | 45029 | 3403 | 122 |
1182548 | 1182548 | 2021-04-02 | Darlington | South Carolina | 45031 | 8150 | 172 |
1182549 | 1182549 | 2021-04-02 | Dillon | South Carolina | 45033 | 4252 | 80 |
1182550 | 1182550 | 2021-04-02 | Dorchester | South Carolina | 45035 | 16407 | 206 |
1182551 | 1182551 | 2021-04-02 | Edgefield | South Carolina | 45037 | 2972 | 41 |
1182552 | 1182552 | 2021-04-02 | Fairfield | South Carolina | 45039 | 2276 | 79 |
1182553 | 1182553 | 2021-04-02 | Florence | South Carolina | 45041 | 17191 | 397 |
1182554 | 1182554 | 2021-04-02 | Georgetown | South Carolina | 45043 | 6488 | 137 |
1182555 | 1182555 | 2021-04-02 | Greenville | South Carolina | 45045 | 69858 | 950 |
1182556 | 1182556 | 2021-04-02 | Greenwood | South Carolina | 45047 | 7665 | 166 |
1182557 | 1182557 | 2021-04-02 | Hampton | South Carolina | 45049 | 1848 | 48 |
1182558 | 1182558 | 2021-04-02 | Horry | South Carolina | 45051 | 37041 | 555 |
1182559 | 1182559 | 2021-04-02 | Jasper | South Carolina | 45053 | 2236 | 43 |
1182560 | 1182560 | 2021-04-02 | Kershaw | South Carolina | 45055 | 7079 | 134 |
1182561 | 1182561 | 2021-04-02 | Lancaster | South Carolina | 45057 | 10137 | 158 |
1182562 | 1182562 | 2021-04-02 | Laurens | South Carolina | 45059 | 6792 | 164 |
1182563 | 1182563 | 2021-04-02 | Lee | South Carolina | 45061 | 1835 | 59 |
1182564 | 1182564 | 2021-04-02 | Lexington | South Carolina | 45063 | 31701 | 469 |
1182565 | 1182565 | 2021-04-02 | Marion | South Carolina | 45067 | 3428 | 101 |
1182566 | 1182566 | 2021-04-02 | Marlboro | South Carolina | 45069 | 3138 | 51 |
1182567 | 1182567 | 2021-04-02 | McCormick | South Carolina | 45065 | 997 | 27 |
1182568 | 1182568 | 2021-04-02 | Newberry | South Carolina | 45071 | 4683 | 97 |
1182569 | 1182569 | 2021-04-02 | Oconee | South Carolina | 45073 | 8984 | 131 |
1182570 | 1182570 | 2021-04-02 | Orangeburg | South Carolina | 45075 | 9345 | 235 |
1182571 | 1182571 | 2021-04-02 | Pickens | South Carolina | 45077 | 17615 | 281 |
1182572 | 1182572 | 2021-04-02 | Richland | South Carolina | 45079 | 44031 | 529 |
1182573 | 1182573 | 2021-04-02 | Saluda | South Carolina | 45081 | 1710 | 48 |
1182574 | 1182574 | 2021-04-02 | Spartanburg | South Carolina | 45083 | 39101 | 766 |
1182575 | 1182575 | 2021-04-02 | Sumter | South Carolina | 45085 | 10096 | 196 |
1182576 | 1182576 | 2021-04-02 | Union | South Carolina | 45087 | 2893 | 84 |
1182577 | 1182577 | 2021-04-02 | Williamsburg | South Carolina | 45089 | 3928 | 95 |
1182578 | 1182578 | 2021-04-02 | York | South Carolina | 45091 | 28765 | 364 |
Advanced export
JSON shape: default, array, newline-delimited
CREATE TABLE [ny_times_us_counties] ( [date] TEXT, [county] TEXT, [state] TEXT, [fips] INTEGER, [cases] INTEGER, [deaths] INTEGER ); CREATE INDEX [idx_ny_times_us_counties_state] ON [ny_times_us_counties] ([state]); CREATE INDEX [idx_ny_times_us_counties_county] ON [ny_times_us_counties] ([county]); CREATE INDEX [idx_ny_times_us_counties_fips] ON [ny_times_us_counties] ([fips]); CREATE INDEX [idx_ny_times_us_counties_date] ON [ny_times_us_counties] ([date] desc);