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 |
Ohio Opioid Epidemic
Most Vulnerable Counties
The CDC has identified 220 counties at risk of outbreaks of HIV and/or hepatitis C as a result of the opioid epidemic. These represent only the top 5% of counties in the nation based on 6 factors assessed. Health officials responsible for these counties should be particularly sensitive to ensure targeted, evidence-based interventions and services are available. The article abstract is available here.
- Adams County National Rank: 51
- Pike County National Rank: 72
- Jackson County National Rank: 111
- Meigs County National Rank: 123
- Brown County National Rank: 127
- Scioto County National Rank: 136
- Vinton County National Rank: 146
- Gallia County National Rank: 155
- Athens County National Rank: 173
- Clinton County National Rank: 190
- Highland County National Rank: 196
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.
State Trends
Federal Funding to Ohio

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: $26,060,500 (2018)
SOR grants: $55,229,900 (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: $13,796,900 (2022)
Viral Hepatitis: $205,640 (2022)
Injury - Opioids: $18,649,700 (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: $37,154,900 (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: $7,014,660 (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 |
Ohio | 24,084 | * | 242 | 1.10 |
Adams County | 18 | 0 | 79 | Data not reported to CDC |
Allen County | 168 | 0 | 197 | Data not reported to CDC |
Ashland County | 21 | 0 | 48 | Data not reported to CDC |
Ashtabula County | 124 | 0 | 150 | Data not reported to CDC |
Athens County | 55 | 0 | 99 | Data not reported to CDC |
Auglaize County | 18 | 0 | 47 | Data not reported to CDC |
Belmont County | 94 | 0 | 165 | Data not reported to CDC |
Brown County | 29 | 0 | 79 | Data not reported to CDC |
Butler County | 509 | 0 | 156 | Data not reported to CDC |
Carroll County | 11 | 0 | 48 | Data not reported to CDC |
Champaign County | 33 | 0 | 100 | Data not reported to CDC |
Clark County | 163 | 0 | 143 | Data not reported to CDC |
Clermont County | 183 | 0 | 103 | Data not reported to CDC |
Clinton County | 39 | 0 | 110 | Data not reported to CDC |
Columbiana County | 77 | 0 | 89 | Data not reported to CDC |
Coshocton County | 20 | 0 | 66 | Data not reported to CDC |
Crawford County | 23 | 0 | 65 | Data not reported to CDC |
Cuyahoga County | 4,971 | 0 | 466 | Data not reported to CDC |
Darke County | 31 | 0 | 72 | Data not reported to CDC |
Defiance County | 29 | 0 | 90 | Data not reported to CDC |
Delaware County | 148 | 0 | 81 | Data not reported to CDC |
Erie County | 92 | 0 | 143 | Data not reported to CDC |
Fairfield County | 201 | 0 | 150 | Data not reported to CDC |
Fayette County | 21 | 0 | 87 | Data not reported to CDC |
Franklin County | 5,256 | 0 | 479 | Data not reported to CDC |
Fulton County | 16 | 0 | 45 | Data not reported to CDC |
Gallia County | 22 | 0 | 90 | Data not reported to CDC |
Geauga County | 36 | 0 | 44 | Data not reported to CDC |
Greene County | 207 | 0 | 144 | Data not reported to CDC |
Guernsey County | 32 | 0 | 99 | Data not reported to CDC |
Hamilton County | 3,159 | 0 | 458 | Data not reported to CDC |
Hancock County | 60 | 0 | 95 | Data not reported to CDC |
Hardin County | 21 | 0 | 82 | Data not reported to CDC |
Harrison County | 10 | 0 | 81 | Data not reported to CDC |
Henry County | 10 | 0 | 43 | Data not reported to CDC |
Highland County | 29 | 0 | 80 | Data not reported to CDC |
Hocking County | 25 | 0 | 105 | Data not reported to CDC |
Holmes County | 5 | 0 | 0 | Data not reported to CDC |
Huron County | 36 | 0 | 74 | Data not reported to CDC |
Jackson County | 30 | 0 | 111 | Data not reported to CDC |
Jefferson County | 60 | 0 | 107 | Data not reported to CDC |
Knox County | 36 | 0 | 68 | Data not reported to CDC |
Lake County | 211 | 0 | 105 | Data not reported to CDC |
Lawrence County | 68 | 0 | 139 | Data not reported to CDC |
Licking County | 188 | 0 | 124 | Data not reported to CDC |
Logan County | 31 | 0 | 80 | Data not reported to CDC |
Lorain County | 476 | 0 | 178 | Data not reported to CDC |
Lucas County | 1,038 | 0 | 289 | Data not reported to CDC |
Madison County | 88 | 0 | 231 | Data not reported to CDC |
Mahoning County | 547 | 0 | 281 | Data not reported to CDC |
Marion County | 111 | 0 | 201 | Data not reported to CDC |
Medina County | 111 | 0 | 71 | Data not reported to CDC |
Meigs County | 9 | 0 | 48 | Data not reported to CDC |
Mercer County | 18 | 0 | 53 | Data not reported to CDC |
Miami County | 78 | 0 | 85 | Data not reported to CDC |
Monroe County | 8 | 0 | 70 | Data not reported to CDC |
Montgomery County | 1,550 | 0 | 343 | Data not reported to CDC |
Morgan County | 16 | 0 | 136 | Data not reported to CDC |
Morrow County | 18 | 0 | 60 | Data not reported to CDC |
Muskingum County | 69 | 0 | 95 | Data not reported to CDC |
Noble County | 28 | 0 | 228 | Data not reported to CDC |
Ottawa County | 15 | 0 | 43 | Data not reported to CDC |
Paulding County | 9 | 0 | 57 | Data not reported to CDC |
Perry County | 35 | 0 | 118 | Data not reported to CDC |
Pickaway County | 135 | 0 | 267 | Data not reported to CDC |
Pike County | 21 | 0 | 93 | Data not reported to CDC |
Portage County | 115 | 0 | 81 | Data not reported to CDC |
Preble County | 14 | 0 | 40 | Data not reported to CDC |
Putnam County | 8 | 0 | 29 | Data not reported to CDC |
Richland County | 167 | 0 | 158 | Data not reported to CDC |
Ross County | 113 | 0 | 172 | Data not reported to CDC |
Sandusky County | 46 | 0 | 92 | Data not reported to CDC |
Scioto County | 62 | 0 | 100 | Data not reported to CDC |
Seneca County | 30 | 0 | 64 | Data not reported to CDC |
Shelby County | 36 | 0 | 91 | Data not reported to CDC |
Stark County | 515 | 0 | 162 | Data not reported to CDC |
Summit County | 1,009 | 0 | 220 | Data not reported to CDC |
Trumbull County | 251 | 0 | 146 | Data not reported to CDC |
Tuscarawas County | 31 | 0 | 40 | Data not reported to CDC |
Union County | 71 | 0 | 132 | Data not reported to CDC |
Van Wert County | 12 | 0 | 50 | Data not reported to CDC |
Vinton County | 7 | 0 | 0 | Data not reported to CDC |
Warren County | 218 | 0 | 106 | Data not reported to CDC |
Washington County | 49 | 0 | 96 | Data not reported to CDC |
Wayne County | 73 | 0 | 75 | Data not reported to CDC |
Williams County | 35 | 0 | 113 | Data not reported to CDC |
Wood County | 89 | 0 | 78 | Data not reported to CDC |
Wyandot County | 5 | 0 | 27 | Data not reported to CDC |