Complete Health Indicator Report of Adverse Childhood Experiences ACEs
Definition
Childhood experiences, both positive and negative, have a tremendous impact on future violence victimization and perpetration, and lifelong health and opportunity. The ACEs included here are a collection of common experiences that may be traumatic to children and youth. They include abuse, neglect, and household challenges that occur during the first 18 years of life. ACEs have been shown to have a potential impact on future violence, victimization, and perpetration, as well as lifelong health and opportunity. ACEs are common; as nearly two-thirds (61.6%) of surveyed U.S. adults experienced at least one ACE and many adults experienced more than one. ACEs can affect optimal health and development across the lifespan, particularly in the absence of protective factors. However, ACEs are preventable, and when present their effects can be mitigated.Numerator
The 2013, 2016, 2018, and 2020 BRFSS respondents who responded affirmatively to the eleven questions in the Adverse Childhood Experience (ACE) Module.Denominator
The number of adults aged 18 and above who participated in the 2013, 2016, 2018, and 2020 BRFSS.Data Interpretation Issues
BRFSS Adverse Childhood Experience (ACE) Module Looking back before you were 18 years of age---. 1) Did you live with anyone who was depressed, mentally ill, or suicidal? 2) Did you live with anyone who was a problem drinker or alcoholic? 3) Did you live with anyone who used illegal street drugs or who abused prescription medications? 4) Did you live with anyone who served time or was sentenced to serve time in a prison, jail, or other correctional facility? 5) Were your parents separated or divorced? 6) How often did your parents or adults in your home ever slap, hit, kick, punch or beat each other up? 7) Before age 18, how often did a parent or adult in your home ever hit, beat, kick, or physically hurt you in any way? Do not include spanking. 8) How often did a parent or adult in your home ever swear at you, insult you, or put you down? 9) How often did anyone at least 5 years older than you or an adult, ever touch you sexually? 10) How often did anyone at least 5 years older than you or an adult, try to make you touch sexually? 11) How often did anyone at least 5 years older than you or an adult, force you to have sex? Module Weaknesses: Limited to specific more common adversities; Severity or frequency of potential trauma is unknown; All experiences are weighted equally; Module does not account for protective factors in the past that might prevent or mitigate the negative long-term impacts of childhood adversities.Why Is This Important?
Exposure to ACEs may result in toxic stress responses that can impede a child's development, such as changes in gene expression, changes in brain connectivity and immune function, and changes in the type of coping strategies adopted. While many coping strategies are healthy and help reduce acute stress, some (e.g. smoking cigarettes, drinking alcohol, using substances, engaging in risky sexual behavior) present additional risks to health and wellbeing. As such, exposure to early adversity can increase the risk of later chronic and infectious health conditions through changes in physiological mechanisms, as well as increased engagement in health risk behaviors, and can ultimately result in premature death.Healthy People Objective IVP-38:
Reduce nonfatal child maltreatmentU.S. Target: 8.5 maltreatment victims per 1,000 children
How Do We Compare With the U.S.?
When comparing BRFSS data, the prevalence of 4+ ACEs in Utah is lower than nationally (15.4% vs 15.8%). National prevalence comes from a 2018 Merrick, et al. study that included 2011-2014 BRFSS data from 23 states, while Utah prevalence is from the ACEs Module included in the Utah BRFSS in 2013, 2016, 2018, and 2022. Source: Merrick, M.T., Ford, D.C., Ports, K. A., Guinn, A. S. (2018). Prevalence of Adverse Childhood Experiences From the 2011-2014 Behavioral Risk Factor Surveillance System in 23 States. JAMA Pediatrics, 172(11), 1038-1044.Evidence-based Practices
Promote safe stable nurturing relationships and environments for all children by:Available Services
The Violence and Injury Prevention Program housed in the Utah Department of Health in coordination with the Utah Coalition for Protecting Childhood (UCPC) has developed a State Action Plan for the Primary Prevention of Child Maltreatment in Utah utilizing the CDC's Essentials for Childhood framework. This plan includes specific strategies and approaches to preventing ACEs and mitigating their negative effects by creating safe, stable, and nurturing relationships and environments for all Utah children. The state plan can be found at vipp.health.utah.gov This is also a sensitive topic and if you need information or help finding support for your own experiences you can dial 1-800-422-4453.Related Indicators
Relevant Population Characteristics
As the number of ACEs increases so does the risk of injury, sexually transmitted infections (including HIV), mental health problems, maternal and child health problems, teen pregnancy, involvement in sex trafficking, a wide range of chronic diseases, and dying from one of the leading causes of death (such as cancer, diabetes, heart disease, and suicide). ACEs can also negatively impact education, employment, and earnings potential. However, it is important to remember that the presence of ACEs does not mean a child will experience poor outcomes. The presence of positive childhood experiences and protective factors like healthy connections can prevent and mitigate the negative effects of childhood adversity.Related Relevant Population Characteristics Indicators:
- Adverse Childhood Experiences ACEs
- Ambulatory Care Sensitive Conditions: Diabetes Hospitalization Among Adults
- Adolescent Births
- Alcohol Consumption - Binge Drinking
- Alcohol Consumption - Heavy Drinking
- Blood Cholesterol: Doctor-diagnosed High Cholesterol
- Blood Cholesterol Screening
- Cancer of the Brain and Central Nervous System
- Breast Cancer Deaths
- Breast Cancer Incidence
- Cancer Deaths
- Child Care Numbers of Facilities
- Child Injury Deaths
- Chlamydia Cases
- Utah Population Characteristics: Poverty, Children Age 17 and Under
- Smoking Among Adults
- Smoking Among Adolescents
- Colorectal Cancer Deaths
- Colorectal Cancer Incidence
- Community Design: Access to Parks and Elementary Schools
- Community Design: Commute Time
- Community Design: Proximity of Population and Schools to Highways
- Community Design: Types of Transportation to Work
- Cost as a barrier to health care
- Depression: Adult Prevalence
- Diabetes-Related Hospitalizations - All Causes
- Deaths due to Diabetes as Underlying Cause
- Diabetes: Gestational Diabetes
- Diabetes Hemoglobin A1C Tests
- Diabetes Prevalence
- Diabetes as Primary Diagnosis for Hospitalization
- Domestic Violence During the Perinatal Time Period
- Utah Population Characteristics: Education Level in the Population
- Fall Injury (Unintentional)
- Family Meals
- Fair/poor health
- Gonorrhea Cases
- Heart Attack: Hospitalizations
- HEDIS (Healthcare Effectiveness Data and Information Set) Measures: Diabetes Care - Hemoglobin A1c (A1C)
- Hepatitis A Infections
- Utah Population Characteristics: Household Income
- Utah Population Characteristics: Household Structure
- HIV Infections
- Health Insurance Coverage
- Health status: mental health past 30 days
- Health status: physical health past 30 days
- Homicide
- Ischemic Heart Disease Deaths
- Blood Pressure: Doctor-diagnosed Hypertension
- Infant Mortality
- Low Birth Weight
- Life Expectancy at Birth
- Lung Cancer Incidence
- Lung Cancer Deaths
- Marriage and Divorce
- Maternal Mortality
- Uninsured Children
- Melanoma of the Skin Deaths
- Melanoma of the Skin Incidence
- Motor Vehicle Traffic Crash Deaths
- Non-Hodgkin Lymphoma
- Obesity Among Adults
- Obesity in Pregnancy
- Overweight WIC Infants and Children
- Obesity Among Children and Adolescents
- Overweight or Obese
- Utah Population Characteristics: Per Capita Income
- Drug Overdose and Poisoning Incidents
- Utah Population Characteristics: Poverty, All Persons
- Prediabetes
- Personal doctor or health care provider
- Prostate Cancer Deaths
- Prostate Cancer Incidence
- Sexual Violence
- Stroke (Cerebrovascular Disease) Deaths
- Student Injuries
- Substance Abuse (Alcohol or Marijuana) - Adolescents
- Suicide
- Syphilis Cases - Primary and Secondary
- Traumatic Brain Injury TBI
- Unintentional Injury Deaths
- Births from Unintended Pregnancies
Graphical Data Views
The most common ACE experienced by adults in Utah was emotional abuse with 38.3% indicating a parent or adult in the home had sworn at them, insulted them, or put them down before the age of 18. The next most prevalent ACEs in Utah are household substance abuse reported by 23.8% of adults and household mental illness reported by 23.7% of adults.
Compared with national respondents, Utahns had a higher prevalence of Household Mental Illness (23.7% vs 16.5% nationally), Sexual Abuse (13.9% vs 11.6% nationally), Emotional Abuse (38.3 vs 34.4% nationally), and Physical Abuse (21.4% vs 17.9% nationally). Nationally, there are a higher prevalence of Divorce (27.6% vs 22.8% in Utah), Household Substance Abuse (27.6% vs 23.8% in Utah) and Domestic Violence (17.5% vs 15.7% in Utah).
Data Notes
All questions refer to the time period before respondents were 18 years of age. Source of national data: Merrick, M.T., Ford, D.C., Ports, K. A., Guinn, A. S. (2018). Prevalence of Adverse Childhood Experiences From the 2011-2014 Behavioral Risk Factor Surveillance System in 23 States. JAMA Pediatrics, 172(11), 1038-1044.Data Sources
- The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)
- Behavioral Risk Factor Surveillance System Survey Data, US Department of Health and Human Services Centers for Disease Control and Prevention (CDC).
In Utah, 63% of adults have experienced at least one ACE, and over one in four have experienced three or more. Among Utah women, 28.1% experienced three or more ACEs compared with 23.3% of men, a statistically significant difference. Females affirmed experiencing more household substance abuse, house mental illness, domestic violence, divorce, and emotional abuse. Also, females were two times more likely to affirm experiencing sexual abuse than males. Males affirmed experiencing more physical abuse and incarcerated household members.
Data Notes
All questions refer to the time period before respondents were 18 years of age.Data Source
The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)ACEs are common across all sociodemographic characteristics, yet some populations are more vulnerable to experiencing ACEs, such as children living in poverty and racial and ethnic minorities, because of the structural and social conditions in which some children and families live, learn, work, and play.
Adults who identify as American Indian or Alaska Native are impacted with the highest numbers of ACEs, 31.2% having 4+ ACEs (almost double the overall prevalence); followed by Multiracial at 23.2% and Black at 22.2%.
Race/Ethnicity | Lower Limit | Upper Limit | Numer- ator | Denom- inator | ||
---|---|---|---|---|---|---|
Record Count: 8 | ||||||
American Indian, Alaskan Native | 31.2% | 22.9% | 40.9% | 64 | 3,386 | |
Asian | 9.0% | 5.1% | 15.5% | 22 | 3,386 | |
Black, African American | 22.2% | 14.3% | 32.9% | 37 | 3,386 | |
Hispanic, Latino | 19.6% | 17.3% | 22.1% | 352 | 3,386 | |
Native Hawaiian, Pacific Islander | 14.4% | 9.4% | 21.5% | 24 | 3,386 | |
White | 15.8% | 15.1% | 16.5% | 2,813 | 3,386 | |
Two or More Races | 23.2% | 16.1% | 32.3% | 38 | 3,386 | |
All Races/Ethnicities | 16.5% | 15.8% | 17.2% | 3,386 | 3,386 |
Data Notes
All questions refer to the time period before respondents were 18 years of age. The 4+ ACE score is highlighted here because research suggests a higher prevalence of negative long-term impacts with higher ACE scores.Data Source
The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)Adverse Childhood Experiences (ACEs) Prevalence by Disability, Type, Utah 2016, 2018, 2020

Compared to those with no disabilities, individuals with one or more disabilities indicated a statistically higher prevalence of experiencing all eight of the surveyed ACEs with sexual abuse being more than two times more prevalent (26% vs 12.2%).
Data Notes
All questions refer to the time period before respondents were 18 years of age.ACEs are common across all sociodemographic characteristics, yet some populations are more vulnerable to experiencing ACEs, such as children living in poverty and racial and ethnic minorities, because of the structural and social conditions in which some children and families live, learn, work, and play.
Lower-income households are impacted with significantly more ACEs than the state as a whole, 24.8% of households making less than $25,000 affirmed 4+ ACEs. Households in extreme poverty (less than 50% of the poverty level) are even more impacted with 29.3% having 4+. This is more than two times the prevalence of 4+ ACEs experienced by households making more than $75,000.
Income Category | Lower Limit | Upper Limit | Numer- ator | Denom- inator | ||
---|---|---|---|---|---|---|
Record Count: 5 | ||||||
<$25,000 | 24.8% | 22.7% | 27.0% | 703 | 3,386 | |
$25,000-$49,999 | 17.9% | 16.4% | 19.6% | 698 | 3,386 | |
$50,000-$74,999 | 16.5% | 14.8% | 18.3% | 542 | 3,386 | |
$75,000+ | 14.0% | 13.0% | 15.0% | 1,095 | 3,386 | |
Total | 16.5% | 15.8% | 17.2% | 3,386 | 3,386 |
Data Notes
All questions refer to the time period before respondents were 18 years of age. The 4+ ACE score is highlighted here because research suggests a higher prevalence of negative long-term impacts with higher ACE scores.Data Source
The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)When comparing the impact of high ACE scores (4+ ACEs) by population density (Urban, Rural, Frontier), there is not a significant difference in the distribution. However, there are Local Health Districts (LHDs) that are significantly impacted by higher or lower prevalence than the state overall. LHDs with a statistically higher prevalence of high ACE scores (4+ ACEs) include Salt Lake County, Tooele County, and Weber-Morgan. LHDs with statistically lower prevalence of high ACE scores include Bear River, Summit County, Utah County, and Wasatch County.
Local Health District | Lower Limit | Upper Limit | Note | Numer- ator | ||
---|---|---|---|---|---|---|
Record Count: 14 | ||||||
Bear River | 13.5% | 11.5% | 15.9% | significantly lower than state | 175 | |
Central | 13.9% | 10.7% | 17.9% | 137 | ||
Davis County | 15.4% | 13.6% | 17.3% | 322 | ||
Salt Lake County | 18.2% | 17.0% | 19.5% | significantly higher than state | 1,071 | |
San Juan | 12.4% | 7.9% | 19.0% | 34 | ||
Southeast | 18.6% | 14.6% | 23.3% | 117 | ||
Southwest | 16.6% | 14.2% | 19.3% | 212 | ||
Summit | 9.9% | 7.3% | 13.2% | significantly lower than state | 61 | |
Tooele | 23.0% | 19.1% | 27.4% | significantly higher than state | 185 | |
TriCounty | 17.4% | 14.6% | 20.6% | 194 | ||
Utah County | 13.5% | 12.1% | 15.0% | significantly lower than state | 447 | |
Wasatch | 11.1% | 7.5% | 16.1% | significantly lower than state | 68 | |
Weber-Morgan | 19.4% | 17.3% | 21.8% | significantly higher than state | 333 | |
State of Utah | 16.5% | 15.8% | 17.2% | 3,386 |
Data Notes
All questions refer to the time period before respondents were 18 years of age. The 4+ ACE score is highlighted here because research suggests a higher prevalence of negative long-term impacts with higher ACE scores.Data Source
The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)In order to facilitate data reporting at the community level, Utah has been divided into 99 Small Areas. These areas are determined based on specific criteria, including population size, political boundaries of cities and towns, and economic similarity. When comparing Utah Small Areas by population density (Urban, Rural, Frontier), there is
not a significant difference in the distribution of ACEs. However, there are Utah Small Areas that are significantly impacted by more ACEs or fewer ACEs than the state as a whole. Utah Small Areas with statistically higher prevalence of high ACE scores (4+ ACEs) include Tooele County (Other), South Salt Lake, Taylorsville (West), Magna, Taylorsville (East)/Murray (West), Kearns V2, Murray, Sandy (West), Ogden (Downtown), Riverdale, West Vally (East) V2, and Layton/South. Utah Small Areas with a statistically lower prevalence of high ACE scores include Hurrican/La Verkin, Alpine, Woods Cross/West Bountiful. North Salt Lake, Delta/Fillmore, Draper, North Logan, Orem (West), Spanish Fork, Summit County (East), West Jordan (West)/Copperton, Park City, and Wasatch County
Utah Small Areas | Lower Limit | Upper Limit | Note | Numer- ator | ||
---|---|---|---|---|---|---|
Record Count: 100 | ||||||
Brigham City | 17.5% | 11.4% | 25.9% | 25 | ||
Box Elder Co (Other) V2 | 20.2% | 11.6% | 32.6% | 19 | ||
Tremonton | 11.9% | 6.7% | 20.2% | * interpret w/caution | 15 | |
Logan V2 | 14.8% | 11.1% | 19.5% | 58 | ||
North Logan | 8.4% | 4.9% | 14.0% | significantly lower than state | 19 | |
Cache (Other)/Rich (All) V2 | 12.7% | 7.9% | 19.9% | 21 | ||
Hyrum | 10.6% | 4.8% | 21.9% | * interpret w/caution | 6 | |
Smithfield | 13.3% | 6.6% | 25.1% | * interpret w/caution | 9 | |
Ben Lomond | 18.7% | 14.6% | 23.8% | 71 | ||
Weber County (East) | 11.9% | 8.3% | 16.8% | 38 | ||
Morgan County | 17.8% | 10.2% | 29.1% | * interpret w/caution | 14 | |
Ogden (Downtown) | 24.2% | 18.5% | 31.1% | significantly higher than state | 58 | |
South Ogden | 21.3% | 15.8% | 28.2% | 51 | ||
Roy/Hooper | 19.7% | 15.0% | 25.3% | 59 | ||
Riverdale | 24.0% | 17.3% | 32.3% | significantly higher than state | 37 | |
Clearfield Area/Hooper | 14.5% | 10.9% | 18.9% | 57 | ||
Layton/South Weber | 21.7% | 17.7% | 26.3% | significantly higher than state | 103 | |
Kaysville/Fruit Heights | 12.5% | 8.3% | 18.3% | 31 | ||
Syracuse | 17.8% | 11.7% | 26.1% | 28 | ||
Centerville | 15.4% | 8.8% | 25.5% | 14 | ||
Farmington | 16.1% | 8.3% | 28.8% | 18 | ||
North Salt Lake | 7.4% | 4.1% | 13.2% | * interpret w/caution, significantly lower than state | 12 | |
Woods Cross/West Bountiful | 7.1% | 3.7% | 13.4% | * interpret w/caution, significantly lower than state | 10 | |
Bountiful | 12.0% | 8.5% | 16.7% | 43 | ||
SLC (Rose Park) | 15.7% | 10.4% | 23.1% | 28 | ||
SLC (Avenues) | 14.3% | 8.8% | 22.4% | 20 | ||
SLC (Foothill/East Bench) | 12.7% | 7.2% | 21.5% | 20 | ||
Magna | 25.4% | 16.9% | 36.3% | significantly higher than state | 28 | |
SLC (Glendale) V2 | 21.5% | 14.0% | 31.4% | 25 | ||
West Valley (Center) | 17.7% | 12.8% | 24.1% | 50 | ||
West Valley (West) V2 | 13.4% | 8.6% | 20.4% | 24 | ||
West Valley (East) V2 | 21.9% | 16.6% | 28.3% | significantly higher than state | 60 | |
SLC (Downtown) V2 | 22.2% | 15.9% | 30.1% | 45 | ||
SLC (Southeast Liberty) | 15.6% | 10.0% | 23.3% | 25 | ||
South Salt Lake | 33.0% | 24.7% | 42.4% | significantly higher than state | 45 | |
SLC (Sugar House) | 22.8% | 15.8% | 31.8% | 38 | ||
Millcreek (South) | 10.9% | 5.6% | 20.2% | * interpret w/caution | 13 | |
Millcreek (East) | 18.8% | 11.7% | 29.0% | 23 | ||
Holladay V2 | 13.2% | 7.4% | 22.3% | 18 | ||
Cottonwood | 15.0% | 10.3% | 21.3% | 40 | ||
Kearns V2 | 24.7% | 18.4% | 32.3% | significantly higher than state | 49 | |
Taylorsville (E)/Murray (W) | 24.7% | 18.0% | 32.8% | significantly higher than state | 41 | |
Taylorsville (West) | 27.6% | 20.7% | 35.8% | significantly higher than state | 44 | |
Murray | 24.5% | 17.8% | 32.8% | significantly higher than state | 43 | |
Midvale | 17.8% | 12.0% | 25.7% | 28 | ||
West Jordan (Northeast) V2 | 22.5% | 15.4% | 31.7% | significantly lower than state | 32 | |
West Jordan (Southeast) | 17.3% | 11.9% | 24.4% | 34 | ||
West Jordan (W)/Copperton | 10.5% | 7.0% | 15.6% | 28 | ||
South Jordan V2 | 12.0% | 8.0% | 17.5% | 28 | ||
Daybreak | 19.9% | 12.5% | 30.2% | 20 | ||
Sandy (West) | 24.4% | 16.6% | 34.4% | significantly higher than state | 31 | |
Sandy (Center) V2 | 20.2% | 12.9% | 30.1% | 24 | ||
Sandy (Northeast) | 11.2% | 5.6% | 21.3% | * interpret w/caution | 13 | |
Sandy (Southeast) | 13.7% | 8.4% | 21.6% | 21 | ||
Draper | 8.1% | 5.0% | 12.9% | significantly lower than state | 23 | |
Riverton/Bluffdale | 18.8% | 13.1% | 26.2% | 42 | ||
Herriman | 13.1% | 9.0% | 18.8% | 35 | ||
Tooele County (Other) | 35.7% | 25.6% | 47.2% | significantly higher than state | 45 | |
Tooele Valley | 19.3% | 15.7% | 23.5% | 136 | ||
Eagle Mountain/Cedar Valley | 16.2% | 9.8% | 25.7% | 21 | ||
Lehi | 14.0% | 10.1% | 19.2% | 51 | ||
Saratoga Springs | 10.6% | 6.3% | 17.3% | 18 | ||
American Fork | 12.5% | 8.3% | 18.4% | 32 | ||
Alpine | 4.9% | 2.0% | 11.9% | * interpret w/caution, significantly lower than state | 5 | |
Pleasant Grove/Lindon | 16.7% | 11.5% | 23.8% | 38 | ||
Orem (North) | 19.9% | 14.0% | 27.4% | 37 | ||
Orem (West) | 9.0% | 5.7% | 14.1% | significantly lower than state | 23 | |
Orem (East) | 18.0% | 11.5% | 27.0% | 24 | ||
Provo/BYU | 12.7% | 7.9% | 19.7% | 24 | ||
Provo (West City Center) | 18.2% | 12.6% | 25.6% | 32 | ||
Provo (East City Center) | 11.9% | 6.6% | 20.7% | 19 | ||
Salem City | 13.5% | 6.9% | 24.7% | * interpret w/caution | 10 | |
Spanish Fork | 9.2% | 5.7% | 14.6% | significantly lower than state | 22 | |
Springville | 18.7% | 12.9% | 26.2% | 37 | ||
Mapleton | ** | ** suppressed | ||||
Utah County (South) V2 | 12.7% | 6.5% | 23.4% | * interpret w/caution | 9 | |
Payson | 13.4% | 8.8% | 20.1% | 25 | ||
Park City | 11.1% | 7.4% | 16.2% | significantly lower than state | 35 | |
Summit County (East) | 9.9% | 6.2% | 15.3% | significantly lower than state | 26 | |
Wasatch County | 11.1% | 7.5% | 16.1% | significantly lower than state | 68 | |
Daggett and Uintah County | 16.8% | 13.3% | 20.9% | 122 | ||
Duchesne County | 18.2% | 14.0% | 23.5% | 72 | ||
Nephi/Mona | 9.1% | 4.1% | 18.8% | * interpret w/caution | 9 | |
Delta/Fillmore | 7.5% | 4.0% | 13.6% | significantly lower than state | 14 | |
Sanpete Valley | 15.7% | 10.7% | 22.5% | 40 | ||
Central (Other) | 13.0% | 7.4% | 21.8% | * interpret w/caution | 36 | |
Richfield/Monroe/Salina | 19.0% | 12.1% | 28.4% | 34 | ||
Carbon County | 21.6% | 15.7% | 28.8% | 65 | ||
Emery County | 16.1% | 10.6% | 23.7% | 33 | ||
Grand County | 16.1% | 8.6% | 28.0% | 19 | ||
Blanding/Monticello | 10.7% | 6.4% | 17.3% | 22 | ||
San Juan County (Other) | 14.2% | 6.8% | 27.2% | 12 | ||
St. George | 16.0% | 12.4% | 20.4% | 74 | ||
Washington Co (Other) V2 | 13.7% | 5.8% | 29.1% | * interpret w/caution | 9 | |
Washington City | 23.5% | 16.0% | 33.1% | 26 | ||
Hurricane/La Verkin | 7.5% | 3.9% | 14.1% | * interpret w/caution, significantly lower than state | 12 | |
Ivins/Santa Clara | 18.9% | 10.6% | 31.4% | 14 | ||
Cedar City | 16.2% | 11.5% | 22.3% | 39 | ||
Southwest LHD (Other) | 17.9% | 12.0% | 26.0% | 34 | ||
State of Utah | 16.5% | 15.8% | 17.2% | 3,386 |
Data Notes
All questions refer to the time period before respondents were 18 years of age. The 4+ ACE score is highlighted here because research suggests a higher prevalence of negative long-term impacts with higher ACE scores. Utah Small Areas. Retrieved on 10/25/2021 from Utah Department of Health, Center for Health Data and Informatics, Indicator-Based Information System for Public Health website: https://ibis.health.utah.gov/ibisph-view/pdf/resource/UtahSmallAreaInfo.pdf.Data Source
The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)More Resources and Links
Evidence-based community health improvement ideas and interventions may be found at the following sites:- Centers for Disease Control and Prevention (CDC) WONDER Database, a system for disseminating Public Health data and information.
- United States Census Bureau data dashboard.
- Utah healthy Places Index Map, evidence-based and peer-reviewed and supports efforts to prioritize equitable community investments, develop critical programs and policies across the state, and much more.
- County Health Rankings
- Kaiser Family Foundation's StateHealthFacts.org
- Medical literature can be queried at PubMedlibrary.
Page Content Updated On 06/30/2022,
Published on 11/10/2022