Select Maps
| Map 1 | Map 2 | |
|---|---|---|
| Opioid Indicators | ||
| Drug-related Deaths | ||
| Age-adjusted Drug Poisoning Deaths per 100,000 (Modeled) | ||
| Opioid Prescriptions per 100 Persons | ||
| Number of 30 Days Supply of Opioids per Part D Enrollee | ||
| Vulnerable County Rank | ||
| HIV Indicators | ||
| Number of People Living with Diagnosed HIV | ||
| Number or People Living with Diagnosed HIV per 100,000 | ||
| New HIV Diagnoses | ||
| Counties and States included in the Ending the HIV Epidemic Plan | ||
| Services Indicators | ||
| Facilities Providing Substance Abuse Services | ||
| Facilities Providing Some Medication Assisted Treatment | ||
| Facilities Providing All Medication Assisted Treatments | ||
| Providers Licensed to Administer Buprenorphine | ||
| Syringe Exchange Programs | ||
| Distance to Nearest SSP | ||
| Distance to Nearest Substance Abuse Facility providing MAT | ||
| Other Indicators | ||
| Unemployment Rate | ||
| Percent of People without Health Insurance | ||
South Carolina Opioid Epidemic
State Statistics
| South Carolina | National | ||
|---|---|---|---|
| Demographics | |||
Unemployment Rate (2023)
|
3.0% | 4.0% | |
| Percent of People without Health Insurance (2022)
|
12.0% | 10.0% | |
| Population (2022)
|
5,142,750 | 331,098,000 | |
| HIV and HCV | |||
| Number of People Living with Diagnosed HIV (2021)
|
18,109 | 1,071,000 | |
| Number of People with Hepatitis C (2016)
|
35,600 | 2,266,700 | |
| Opioid Use | |||
| Drug-related Deaths per 100,000 (2019)
|
21.9 | 21.5 | |
| Drug-related Deaths (2019)
|
1,127 | 70,630 | |
| Healthcare | |||
| Opioid Prescriptions per 100 Persons (2019)
|
60.4 | 43.3 | |
| Number of 30 Days Supply of Opioids per Part D Enrollee (2015)
|
2.4 | 2.1 | |
| Percent Needing but Not Receiving Addiction Treatment (2014)
|
87.0% | 89.0% | |
| Treatment and Prevention Services | |||
| Syringe Exchange Programs (2024)
|
7 | 849 | |
| Facilities Providing Some Medication Assisted Treatment (2023)
|
77 | 8,294 | |
| Percent of Drug Treatment Paid by Medicaid (2016)
|
12.0% | 24.0% | |
State Opioid Policies
Several policies can mitigate the impact of increased opioid use. These include legislation permitting the operation of syringe exchange programs, good samaritan laws that provide legal protections to bystanders who call for help in the event of an overdose, and state Medicaid coverage of methadone for the treatment of opioid use disorder. In addition, states experiencing, or at an elevated risk of, experiencing HIV or hepatitis outbreaks may use federal DHHS funds to support syringe service programs. In order to be eligible to do so, state, local, tribal, and territorial health departments must consult with CDC and provide evidence demonstrating risk.
Syringe Exchange Programs are Not Legal (2021)
Good Samaritan Law Does Not Protect from Parole/Probation Violations (2018)
State Medicaid Program does Not Cover Methadone (2017)
State Trends
Federal Funding to South Carolina
The Substance Abuse and Mental Health Services Administration (SAMHSA) makes grants to fight the opioid epidemic through several programs. The largest of these are the Opioid State Targeted Response (STR) and State Opioid Response (SOR) grants. Several smaller grant programs are also available.
STR grants: $6,575,620 (2018)
SOR grants: $14,047,700 (2018)
The Centers for Disease Control and Prevention (CDC) provides leadership in improving public health by working with community, state, national, and international partners in surveillance, research, and prevention and evaluation activities. The Division of HIV/AIDS Prevention (DHAP) and the Division of Viral Hepatitis (DVH) are responsible for HIV and viral hepatitis control activities, respectively. The National Center for Injury Prevention and Control (NCIPC) provides grants to states for both illicit and prescription opioid monitoring and research.
HIV/AIDS: $10,264,400 (2022)
Viral Hepatitis: $197,156 (2022)
Injury - Opioids: $4,030,500 (2022)
The Ryan White HIV/AIDS Program provides a comprehensive system of care that includes primary medical care and essential support services for people living with HIV who are uninsured or underinsured. The Program works with cities, states, and local community-based organizations to provide HIV care and treatment services to more than half a million people each year.
Ryan White: $32,166,500 (2016)
The Housing Opportunities for Persons With AIDS (HOPWA) Program is the only Federal program dedicated to the housing needs of people living with HIV/AIDS. Under the HOPWA Program, HUD makes grants to local communities, States, and nonprofit organizations for projects that benefit low-income persons living with HIV/AIDS and their families.
HOPWA: $5,719,330 (2021)
| * Small values are suppressed to preserve confidentiality. State-level data include the suppressed estimates so county rows will not sum to state totals. |
Data Explorer
County | Number of People Living with Diagnosed HIV (2021) | New HIV Diagnoses per 100,000 (2023) | Number or People Living with Diagnosed HIV per 100,000 (2021) | Estimated Acute Hepatitis C Cases per 100,000 (2017) |
|---|---|---|---|---|
| United States | 1,071,000 | * | 382 | 1.60 |
| South Carolina | 18,109 | * | 411 | * |
| Abbeville County | 49 | 0 | 233 | Data not reported to CDC |
| Aiken County | 493 | 0 | 339 | Data not reported to CDC |
| Allendale County | 39 | 0 | 569 | Data not reported to CDC |
| Anderson County | 371 | 0 | 213 | Data not reported to CDC |
| Bamberg County | 89 | 0 | 773 | Data not reported to CDC |
| Barnwell County | 118 | 0 | 691 | Data not reported to CDC |
| Beaufort County | 381 | 0 | 227 | Data not reported to CDC |
| Berkeley County | 582 | 0 | 296 | Data not reported to CDC |
| Calhoun County | 41 | 0 | 333 | Data not reported to CDC |
| Charleston County | 1,668 | 0 | 470 | Data not reported to CDC |
| Cherokee County | 106 | 0 | 225 | Data not reported to CDC |
| Chester County | 92 | 0 | 339 | Data not reported to CDC |
| Chesterfield County | 93 | 0 | 254 | Data not reported to CDC |
| Clarendon County | 162 | 0 | 596 | Data not reported to CDC |
| Colleton County | 163 | 0 | 505 | Data not reported to CDC |
| Darlington County | 267 | 0 | 504 | Data not reported to CDC |
| Dillon County | 141 | 0 | 611 | Data not reported to CDC |
| Dorchester County | 442 | 0 | 325 | Data not reported to CDC |
| Edgefield County | 126 | 0 | 545 | Data not reported to CDC |
| Fairfield County | 105 | 0 | 580 | Data not reported to CDC |
| Florence County | 798 | 0 | 699 | Data not reported to CDC |
| Georgetown County | 212 | 0 | 375 | Data not reported to CDC |
| Greenville County | 1,610 | 0 | 360 | Data not reported to CDC |
| Greenwood County | 253 | 0 | 435 | Data not reported to CDC |
| Hampton County | 117 | 0 | 756 | Data not reported to CDC |
| Horry County | 1,113 | 0 | 346 | Data not reported to CDC |
| Jasper County | 97 | 0 | 368 | Data not reported to CDC |
| Kershaw County | 205 | 0 | 369 | Data not reported to CDC |
| Lancaster County | 235 | 0 | 276 | Data not reported to CDC |
| Laurens County | 190 | 0 | 332 | Data not reported to CDC |
| Lee County | 120 | 0 | 848 | Data not reported to CDC |
| Lexington County | 823 | 0 | 326 | Data not reported to CDC |
| Marion County | 168 | 0 | 690 | Data not reported to CDC |
| Marlboro County | 99 | 0 | 437 | Data not reported to CDC |
| McCormick County | 32 | 0 | 353 | Data not reported to CDC |
| Newberry County | 119 | 0 | 369 | Data not reported to CDC |
| Oconee County | 110 | 0 | 160 | Data not reported to CDC |
| Orangeburg County | 480 | 0 | 682 | Data not reported to CDC |
| Pickens County | 183 | 0 | 159 | Data not reported to CDC |
| Richland County | 3,099 | 0 | 872 | Data not reported to CDC |
| Saluda County | 47 | 0 | 295 | Data not reported to CDC |
| Spartanburg County | 779 | 0 | 277 | Data not reported to CDC |
| Sumter County | 634 | 0 | 730 | Data not reported to CDC |
| Union County | 69 | 0 | 300 | Data not reported to CDC |
| Williamsburg County | 217 | 0 | 824 | Data not reported to CDC |
| York County | 594 | 0 | 247 | Data not reported to CDC |
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