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 | ||
Wisconsin Opioid Epidemic
State Statistics
| Wisconsin | National | ||
|---|---|---|---|
| Demographics | |||
Unemployment Rate (2023)
|
3.0% | 4.0% | |
| Percent of People without Health Insurance (2022)
|
7.0% | 10.0% | |
| Population (2022)
|
5,882,130 | 331,098,000 | |
| HIV and HCV | |||
| Number of People Living with Diagnosed HIV (2021)
|
6,840 | 1,071,000 | |
| Number of People with Hepatitis C (2016)
|
27,900 | 2,266,700 | |
| Opioid Use | |||
| Drug-related Deaths per 100,000 (2019)
|
20.6 | 21.5 | |
| Drug-related Deaths (2019)
|
1,201 | 70,630 | |
| Healthcare | |||
| Opioid Prescriptions per 100 Persons (2019)
|
42.5 | 43.3 | |
| Number of 30 Days Supply of Opioids per Part D Enrollee (2015)
|
2.1 | 2.1 | |
| Percent Needing but Not Receiving Addiction Treatment (2014)
|
89.0% | 89.0% | |
| Treatment and Prevention Services | |||
| Syringe Exchange Programs (2024)
|
29 | 849 | |
| Facilities Providing Some Medication Assisted Treatment (2023)
|
112 | 8,294 | |
| Percent of Drug Treatment Paid by Medicaid (2016)
|
37.0% | 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 Locally Permitted (2021)
Good Samaritan Law Protects from Parole/Probation Violations (2018)
State Medicaid Program does Cover Methadone (2017)
State Trends
Federal Funding to Wisconsin
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: $7,636,940 (2018)
SOR grants: $11,805,700 (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: $3,100,230 (2022)
Viral Hepatitis: $197,156 (2022)
Injury - Opioids: $6,604,260 (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: $13,421,500 (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: $3,239,060 (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 |
| Wisconsin | 6,840 | * | 137 | 2.30 |
| Adams County | 21 | 0 | 111 | Data not reported to CDC |
| Ashland County | 8 | 0 | 59 | Data not reported to CDC |
| Barron County | 28 | 0 | 70 | Data not reported to CDC |
| Bayfield County | 6 | 0 | 42 | Data not reported to CDC |
| Brown County | 248 | 0 | 110 | Data not reported to CDC |
| Buffalo County | * | 0 | 0 | Data not reported to CDC |
| Burnett County | 7 | 0 | 47 | Data not reported to CDC |
| Calumet County | 19 | 0 | 43 | Data not reported to CDC |
| Chippewa County | 31 | 0 | 54 | Data not reported to CDC |
| Clark County | 15 | 0 | 55 | Data not reported to CDC |
| Columbia County | 47 | 0 | 94 | Data not reported to CDC |
| Crawford County | 7 | 0 | 50 | Data not reported to CDC |
| Dane County | 810 | 0 | 167 | Data not reported to CDC |
| Dodge County | 70 | 0 | 90 | Data not reported to CDC |
| Door County | 29 | 0 | 107 | Data not reported to CDC |
| Douglas County | 25 | 0 | 65 | Data not reported to CDC |
| Dunn County | 19 | 0 | 48 | Data not reported to CDC |
| Eau Claire County | 50 | 0 | 55 | Data not reported to CDC |
| Florence County | 0 | 0 | 0 | Data not reported to CDC |
| Fond du Lac County | 69 | 0 | 77 | Data not reported to CDC |
| Forest County | 5 | 0 | 63 | Data not reported to CDC |
| Grant County | 20 | 0 | 45 | Data not reported to CDC |
| Green County | 8 | 0 | 25 | Data not reported to CDC |
| Green Lake County | 11 | 0 | 67 | Data not reported to CDC |
| Iowa County | 16 | 0 | 79 | Data not reported to CDC |
| Iron County | * | 0 | 0 | Data not reported to CDC |
| Jackson County | 8 | 0 | 45 | Data not reported to CDC |
| Jefferson County | 45 | 0 | 61 | Data not reported to CDC |
| Juneau County | 21 | 0 | 91 | Data not reported to CDC |
| Kenosha County | 212 | 0 | 148 | Data not reported to CDC |
| Kewaunee County | 13 | 0 | 74 | Data not reported to CDC |
| La Crosse County | 100 | 0 | 96 | Data not reported to CDC |
| Lafayette County | 5 | 0 | 36 | Data not reported to CDC |
| Langlade County | 5 | 0 | 30 | Data not reported to CDC |
| Lincoln County | 14 | 0 | 56 | Data not reported to CDC |
| Manitowoc County | 36 | 0 | 51 | Data not reported to CDC |
| Marathon County | 72 | 0 | 62 | Data not reported to CDC |
| Marinette County | 23 | 0 | 63 | Data not reported to CDC |
| Marquette County | 13 | 0 | 95 | Data not reported to CDC |
| Menominee County | 9 | 0 | 278 | Data not reported to CDC |
| Milwaukee County | 3,159 | 0 | 411 | Data not reported to CDC |
| Monroe County | 27 | 0 | 71 | Data not reported to CDC |
| Oconto County | 6 | 0 | 18 | Data not reported to CDC |
| Oneida County | 14 | 0 | 42 | Data not reported to CDC |
| Outagamie County | 122 | 0 | 76 | Data not reported to CDC |
| Ozaukee County | 30 | 0 | 38 | Data not reported to CDC |
| Pepin County | 0 | 0 | 0 | Data not reported to CDC |
| Pierce County | 17 | 0 | 46 | Data not reported to CDC |
| Polk County | 19 | 0 | 48 | Data not reported to CDC |
| Portage County | 39 | 0 | 64 | Data not reported to CDC |
| Price County | 5 | 0 | 0 | Data not reported to CDC |
| Racine County | 272 | 0 | 164 | Data not reported to CDC |
| Richland County | 5 | 0 | 34 | Data not reported to CDC |
| Rock County | 159 | 0 | 115 | Data not reported to CDC |
| Rusk County | 5 | 0 | 0 | Data not reported to CDC |
| Sauk County | 40 | 0 | 72 | Data not reported to CDC |
| Sawyer County | 10 | 0 | 63 | Data not reported to CDC |
| Shawano County | 20 | 0 | 57 | Data not reported to CDC |
| Sheboygan County | 68 | 0 | 68 | Data not reported to CDC |
| St. Croix County | 35 | 0 | 44 | Data not reported to CDC |
| Taylor County | 7 | 0 | 42 | Data not reported to CDC |
| Trempealeau County | 14 | 0 | 56 | Data not reported to CDC |
| Vernon County | 16 | 0 | 63 | Data not reported to CDC |
| Vilas County | 0 | 0 | 0 | Data not reported to CDC |
| Walworth County | 51 | 0 | 55 | Data not reported to CDC |
| Washburn County | 12 | 0 | 82 | Data not reported to CDC |
| Washington County | 55 | 0 | 47 | Data not reported to CDC |
| Waukesha County | 174 | 0 | 50 | Data not reported to CDC |
| Waupaca County | 15 | 0 | 34 | Data not reported to CDC |
| Waushara County | 19 | 0 | 88 | Data not reported to CDC |
| Winnebago County | 139 | 0 | 94 | Data not reported to CDC |
| Wood County | 44 | 0 | 70 | Data not reported to CDC |
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