South Carolina Coronavirus Data & COVID-19 Infection Data

Most Recent Data Update: 2020-11-30 07:21
Nov-30 Cases

216,129

+452,876

Nov-30
Deaths

4,353

+5,000

Nov-30
Fatality Rate

2.01%

-0.02%

Nov-30
New Cases

113,704

+100,000

SOUTH CAROLINA

COVID-19 Summary Card
Population: 2,500,000
Date of First Case: Jan 22 2020
Location of First Case: State First Case - County Name
Health Organizations: Country Health Dept. Name
Governor State Health Department
Governor's Name Health Department Name
Aggregate
Data
Cases: 216,129
Deaths: 4,353
Recovered: 113,704
Fatality %: 2.01%
USA
Rankings
Cases: 1/189
Deaths: 1/189
Recovered: 3/189
Fatality %: 57/189
Per Capita Data
(Per 1M People)
Cases: 86,451
Deaths: 1,741
Recovered: 45,481
USA
Rankings
Cases: 1/189
Deaths: 1/189
Recovered: 1/189
South Carolina COVID-19 Summary By County
A list of the 65 counties in South Carolina affected by the coronavirus, with total COVID-19 cases by county, total COVID-19 deaths by county, new COVID-19 cases and deaths per day, along with COVID-19 fatality rates and per capita data by county for the state of South Carolina.
COUNTY CASES NEW CASES DEATHS NEW DEATHS FATALITY RATE CASES PER 1M POP DEATHS PER 1M POP POPULATION
Kershaw 2,514 2,000 46 20 1.83% 38,327 701 65,592
Lancaster 2,610 2,000 62 20 2.38% 27,364 650 95,380
Beaufort 6,174 2,000 93 20 1.51% 32,716 492 188,715
Lexington 9,096 2,000 209 20 2.30% 30,830 708 295,032
Anderson 5,901 2,000 206 20 3.49% 29,434 1,027 200,482
Greenville 17,894 2,000 350 20 1.96% 34,798 680 514,213
Horry 12,552 2,000 232 20 1.85% 36,472 674 344,147
Fairfield 869 2,000 40 20 4.60% 38,791 1,785 22,402
Richland 17,455 2,000 271 20 1.55% 42,103 653 414,576
York 6,819 2,000 104 20 1.53% 24,876 379 274,118
Lee 789 2,000 36 20 4.56% 46,027 2,100 17,142
Abbeville 789 2,000 17 20 2.15% 32,150 692 24,541
Dorchester 4,860 2,000 100 20 2.06% 30,252 622 160,647
Aiken 5,075 2,000 87 20 1.71% 29,958 513 169,401
Berkeley 6,182 2,000 94 20 1.52% 27,961 425 221,091
Darlington 2,524 2,000 67 20 2.65% 37,783 1,002 66,802
Florence 5,658 2,000 202 20 3.57% 40,952 1,462 138,159
Orangeburg 3,367 2,000 131 20 3.89% 38,730 1,506 86,934
Pickens 4,568 2,000 65 20 1.42% 36,562 520 124,937
Dillon 1,312 2,000 48 20 3.66% 42,877 1,568 30,599
Edgefield 929 2,000 22 20 2.37% 34,341 813 27,052
Greenwood 2,584 2,000 76 20 2.94% 36,527 1,074 70,741
Jasper 932 2,000 23 20 2.47% 32,170 793 28,971
Marlboro 1,143 2,000 13 20 1.14% 43,298 492 26,398
Newberry 1,658 2,000 52 20 3.14% 43,042 1,349 38,520
Georgetown 2,373 2,000 55 20 2.32% 38,121 883 62,249
Oconee 2,502 2,000 34 20 1.36% 31,923 433 78,374
Marion 1,164 2,000 41 20 3.52% 37,501 1,320 31,039
Union 770 2,000 18 20 2.34% 28,091 656 27,410
Williamsburg 1,456 2,000 50 20 3.43% 47,572 1,633 30,606
Laurens 1,952 2,000 62 20 3.18% 29,136 925 66,994
Barnwell 877 2,000 25 20 2.85% 41,540 1,184 21,112
Bamberg 695 2,000 34 20 4.89% 48,686 2,381 14,275
Allendale 425 2,000 7 20 1.65% 47,736 786 8,903
Hampton 767 2,000 31 20 4.04% 39,636 1,601 19,351
McCormick 278 2,000 7 20 2.52% 29,543 743 9,410
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Line Chart
A line chart is a way of plotting data points on a line.
Bar Chart
A bar chart provides a way of showing data values represented as vertical bars.
Line Chart
A line chart is a way of plotting data points on a line.
Bar Chart
A bar chart provides a way of showing data values represented as vertical bars.