ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
41 rows where "date" is on date 2020-03-30 and state = "South Carolina" sorted by date descending
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Suggested facets: date (date)
fips >30
county >30
- Abbeville 1
- Aiken 1
- Anderson 1
- Barnwell 1
- Beaufort 1
- Berkeley 1
- Calhoun 1
- Charleston 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
- Horry 1
- Jasper 1
- Kershaw 1
- Lancaster 1
- Laurens 1
- Lee 1
- Lexington 1
- Marion 1
- Marlboro 1
- …
state 1
- South Carolina · 41 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
21219 | 21219 | 2020-03-30 | Abbeville | South Carolina | 45001 | 3 | 0 |
21220 | 21220 | 2020-03-30 | Aiken | South Carolina | 45003 | 9 | 0 |
21221 | 21221 | 2020-03-30 | Anderson | South Carolina | 45007 | 31 | 1 |
21222 | 21222 | 2020-03-30 | Barnwell | South Carolina | 45011 | 1 | 0 |
21223 | 21223 | 2020-03-30 | Beaufort | South Carolina | 45013 | 74 | 1 |
21224 | 21224 | 2020-03-30 | Berkeley | South Carolina | 45015 | 14 | 0 |
21225 | 21225 | 2020-03-30 | Calhoun | South Carolina | 45017 | 2 | 0 |
21226 | 21226 | 2020-03-30 | Charleston | South Carolina | 45019 | 123 | 1 |
21227 | 21227 | 2020-03-30 | Chester | South Carolina | 45023 | 2 | 0 |
21228 | 21228 | 2020-03-30 | Chesterfield | South Carolina | 45025 | 6 | 0 |
21229 | 21229 | 2020-03-30 | Clarendon | South Carolina | 45027 | 18 | 1 |
21230 | 21230 | 2020-03-30 | Colleton | South Carolina | 45029 | 5 | 0 |
21231 | 21231 | 2020-03-30 | Darlington | South Carolina | 45031 | 11 | 0 |
21232 | 21232 | 2020-03-30 | Dillon | South Carolina | 45033 | 1 | 0 |
21233 | 21233 | 2020-03-30 | Dorchester | South Carolina | 45035 | 12 | 0 |
21234 | 21234 | 2020-03-30 | Edgefield | South Carolina | 45037 | 2 | 0 |
21235 | 21235 | 2020-03-30 | Fairfield | South Carolina | 45039 | 5 | 0 |
21236 | 21236 | 2020-03-30 | Florence | South Carolina | 45041 | 15 | 3 |
21237 | 21237 | 2020-03-30 | Georgetown | South Carolina | 45043 | 11 | 0 |
21238 | 21238 | 2020-03-30 | Greenville | South Carolina | 45045 | 88 | 1 |
21239 | 21239 | 2020-03-30 | Greenwood | South Carolina | 45047 | 3 | 0 |
21240 | 21240 | 2020-03-30 | Horry | South Carolina | 45051 | 32 | 3 |
21241 | 21241 | 2020-03-30 | Jasper | South Carolina | 45053 | 3 | 0 |
21242 | 21242 | 2020-03-30 | Kershaw | South Carolina | 45055 | 99 | 2 |
21243 | 21243 | 2020-03-30 | Lancaster | South Carolina | 45057 | 14 | 0 |
21244 | 21244 | 2020-03-30 | Laurens | South Carolina | 45059 | 3 | 0 |
21245 | 21245 | 2020-03-30 | Lee | South Carolina | 45061 | 5 | 0 |
21246 | 21246 | 2020-03-30 | Lexington | South Carolina | 45063 | 41 | 1 |
21247 | 21247 | 2020-03-30 | Marion | South Carolina | 45067 | 2 | 0 |
21248 | 21248 | 2020-03-30 | Marlboro | South Carolina | 45069 | 2 | 0 |
21249 | 21249 | 2020-03-30 | Newberry | South Carolina | 45071 | 2 | 0 |
21250 | 21250 | 2020-03-30 | Oconee | South Carolina | 45073 | 4 | 0 |
21251 | 21251 | 2020-03-30 | Orangeburg | South Carolina | 45075 | 21 | 0 |
21252 | 21252 | 2020-03-30 | Pickens | South Carolina | 45077 | 13 | 0 |
21253 | 21253 | 2020-03-30 | Richland | South Carolina | 45079 | 135 | 2 |
21254 | 21254 | 2020-03-30 | Saluda | South Carolina | 45081 | 1 | 0 |
21255 | 21255 | 2020-03-30 | Spartanburg | South Carolina | 45083 | 30 | 0 |
21256 | 21256 | 2020-03-30 | Sumter | South Carolina | 45085 | 34 | 2 |
21257 | 21257 | 2020-03-30 | Union | South Carolina | 45087 | 3 | 0 |
21258 | 21258 | 2020-03-30 | Williamsburg | South Carolina | 45089 | 2 | 0 |
21259 | 21259 | 2020-03-30 | York | South Carolina | 45091 | 43 | 0 |
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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);