Weber-Morgan Health Department Community Health Assessment Introduction

Weber–Morgan Health Department
Community Health Assessment

Section 1 Introduction
Photo Credit: Laniece Roberts

Community Health Assessment 3
Acknowledgements
his community document has been developed by the Weber–Morgan Health Department
and community partners. Many professionals dedicated their time and expertise in creating
this Community Health Assessment. We wish to thank those involved for their valuable
participation in developing this document:
For questions and suggestions about this Community Health Assessment, please contact the
WMHD at (801) 399-7100 during the hours of 8am–5pm Monday–Friday.
Abigal Weymouth, MPH, CHES
Health Promotion Educator:
Tobacco Prevention and Control Program
Brian Bennion, MPA, LEHS
Executive Director/Health Officer
Brian Cowan, MPH, LEHS
Assistant Environmental Health Administrator
Bryce Sherwood, BS, CHES
Health Promotion Supervisor
Cathy Bodily
Emergency Services Program Manager
Cathy Fuentes
Ogden City Project Coordinator
Colleen Jenson, BS, CLE
Director WIC
Dung Banh, MSN
Nursing Administrator
Jacob Matthews, MPA
Public Health Contractor
Jarelyn Cox, RD, CD, IBCLC
Assistant WIC Administrator
Kristy Jones, MPH
Intermountain HealthCare Community Benefit
Laura Santurri, PhD, MPH, CPH
Weber State University Program Director
& Assistant Professor of Health Promotion
Liese Zahabi, MGD
Weber State University Assistant Professor
of Graphic Design
Lori Buttars
Public Information Officer
Michela Gladwell, LEHS
Environmental Health Program Manager
Rob Hall
Youth Impact Director
T

Weber-Morgan Health Department4
Table of Contents
Section 1: Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 2–27
About the Community Health Assessment . . . . . . . . . . . . . . . . . . . . . . . . Pages 6–7
Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 6
Purpose . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 6
Process and Methods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 6–7
Executive Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 8–9
Description of Weber and Morgan Counties . . . . . . . . . . . . . . . . . . . . . . . Pages 10–12
Geography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 10
Cities and Unincorporated Communities. . . . . . . . . . . . . . . . . . . . . . Page 10
Government . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 11
Climate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 11
Transportation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 11–12
What Residents Are Saying About Transportation Options . . . . . . . . . Page 12
Demographic Profile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 13–19
Population . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 13–14
Projected Population Growth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 15
Age of Residents. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 15–16
Age Projections. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 17
Age Adjustment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 18
Race and Ethnicity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 18–19
Social and Economic Characteristics . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 20–24
Workforce Composition and Wages . . . . . . . . . . . . . . . . . . . . . . . . . Page 20
Cost of Living . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 21
Education. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 22
Religion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 23
Politics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 23
Healthcare . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 24
Special Populations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 24–25
Under–Educated Populations . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 24
Populations in Poverty. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 24
Veterans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 25
Homeless . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 25
Incarcerated Residents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 25
Residents with Potential Language Barriers and Challenges . . . . . . Page 25
County Health Rankings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 26
Section 2: Mortality. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 28–37
Premature Death, Health Indicator 1 . . . . . . . . . . . . . . . . . . . . . . . . . . Page 29
Death Rate and Life Expectancy, Health Indicator 2 . . . . . . . . . . . . . . . . Page 30
Leading Causes of Death, Health Indicator 3. . . . . . . . . . . . . . . . . . . . . Page 31
Chronic Disease Death Rates, Health Indicator 4 . . . . . . . . . . . . . . . . . . Page 32
Injury Death Rates, Health Indicator 5. . . . . . . . . . . . . . . . . . . . . . . . . Pages 33-34
Suicide, Health Indicator 6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 35–36
Infant Mortality, Health Indicator 7 . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 37

Section 3: Morbidity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 38–57
Health Related Quality of Life, Health Indicator 8 . . . . . . . . . . . . . . . . . Page 39
Birth Outcomes, Health Indicator 9 . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 40–41
Hospitalizations, Health Indicator 10 . . . . . . . . . . . . . . . . . . . . . . . . . . Page 42
Chronic Disease Prevalence, Health Indicator 11 . . . . . . . . . . . . . . . . . . Page 43
Cancer Incidence, Health Indicator 12 . . . . . . . . . . . . . . . . . . . . . . . . . Page 44
Adult Obesity, Health Indicator 13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 45–46
Childhood Obesity, Health Indicator 14. . . . . . . . . . . . . . . . . . . . . . . . . Page 47
Obesity Disparities, Health Indicator 15 . . . . . . . . . . . . . . . . . . . . . . . . Page 48
Communicable Disease Incidence, Health Indicator 16. . . . . . . . . . . . . . Page 49
Sexually Transmitted Infections, Health Indicator 17 . . . . . . . . . . . . . . . Pages 50–51
Vaccine Preventable Diseases, Health Indicator 18 . . . . . . . . . . . . . . . . Pages 52–54
Mental Health Conditions, Health Indicator 19. . . . . . . . . . . . . . . . . . . . Page 55
Oral Health Conditions, Health Indicator 20 . . . . . . . . . . . . . . . . . . . . . Pages 56–57
Section 4: Health Behaviors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 58–76
Alcohol Abuse, Health Indicator 21 . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 59
Tobacco Use, Health Indicator 22 . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 60–62
Adolescent Substance Abuse, Health Indicator 23 . . . . . . . . . . . . . . . . . Pages 63–65
Healthy Eating, Health Indicator 24 . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 66–69
Physical Activity, Health Indicator 25 . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 70–73
Safety, Health Indictor 26. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 74–75
Section 5: Clinical Care . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 77–93
Insurance, Health Indicator 27 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 80
Cost of Healthcare, Health Indicator 28 . . . . . . . . . . . . . . . . . . . . . . . Page 81
Healthcare Provider Ratios, Health Indicator 29. . . . . . . . . . . . . . . . . . . Pages 82–83
Mental Health and Substance Abuse Services, Health Indicator 30 . . . . . Page 84
Diabetes Management, Health Indicator 31 . . . . . . . . . . . . . . . . . . . . . Page 85
Breast Cancer Screening/Mammograms, Health Indicator 32 . . . . . . . . . Page 86
Prostate & Colorectal Cancer Screenings, Health Indicator 33 . . . . . . . . . Page 87
Immunization & Vaccination, Health Indicator 34 . . . . . . . . . . . . . . . . . Pages 88–91
Preventable Hospital Stays, Health Indicator 35 . . . . . . . . . . . . . . . . . . Page 92
Section 6: Social and Economic Factors . . . . . . . . . . . . . . . . . . . . . . . Pages 94–107
Education, Health Indicator 36 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 95–96
Employment, Health Indicator 37 . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 97
Income, Health Indicator 38 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 98
Economic Disparities, Health Indicator 39. . . . . . . . . . . . . . . . . . . . . . . Page 99
Housing, Health Indicator 40 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 100–101
Family & Social Support, Health Indicator 41 . . . . . . . . . . . . . . . . . . . . Pages 102–104
Community Safety & Crime, Health Indicator 42 . . . . . . . . . . . . . . . . . . Pages 105–106
Section 7: Physical Environment. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 108–120
Air Quality, Health Indicator 43 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 110–116
Water Quality, Health Indicator 44. . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 117–118
Physical Dwelling Safety, Health Indicator 45 . . . . . . . . . . . . . . . . . . . . Page 119
Section 8: Conclusion and Future Planned Action . . . . . . . . . . . . . . . . Pages 121–123
Section 9: PhotoVoice Exhibit and Interviews
with Key Stakeholders . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pages 124–144

About the Community Health Assessment
ssessing the health status of the community is a core public health function provided by the
Weber–Morgan Health Department (WMHD). Conducting a Community Health Assessment
(CHA) is a primary method of determining the health status and needs of the community.
Purpose
The first purpose of this CHA is to better educate the WMHD staff, government officials, community
leaders, and residents of the current health status and needs of the community. The second
purpose of this CHA is to provide the data needed to mobilize the WMHD and its community
partners to develop public health priorities, allocate and streamline community resources, and
plan actions to improve the public’s health.
Ultimately, this CHA seeks to increase the
effectiveness and efficacy of the WMHD and
increase the quality of life for residents of
Weber and Morgan Counties through
enhanced health.
Process and Methods
During 2014 and 2015 the WMHD worked
with several community partners to acquire
and analyze the primary and secondary
data used in the CHA. Data types included
both qualitative and quantitative data.
Typically, WMHD or county level data was
compared against the state and/or national
averages, when it was available. Wherever
possible the small area data, the small regions
that comprise the WMHD, was also compared
against state and national averages.
A
Introduction
>>
>
>
>
>>>>>>>>>> ASSESS
M
ENT
>>>>>>>POLICY
D
EVELOPMENT>>>>>>>
>
>
>
>>>>
ASSURANCE
SYSTE
M
MANAGE
M
ENT
Evaluate
Monitor
Health
Diagnose &
Investigate
Inform
Educate
Empower
Mobilize
Community
PartnershipDevelop
Policies
Enforce
Laws
Link to/
Provide
Care
Assure
Competent
Workforce
Research
Graphic 1: Core Functions of Public Health

The following graphic shows all of the geographic regions compared throughout the CHA.
Healthy People 2020 (HP2020) goals, a set of national health goals developed by numerous
federal agencies, were also compared against the WMHD’s actual health status. These goals
represent ideal health outcomes per 100,000 residents (age-adjusted) that every health
department should strive to meet and exceed in order to help improve the community’s health.
Graphic 2: Geographical Areas of Comparison in the CHA
National
Utah
Downtown
Ogden
Ben Lomond
Roy/Hooper
Riverdale
South Ogden
Eastern
Weber
County
& Morgan
County
Salt Lake County Health Department
(SLCoHD)
Utah County Health Department
(UCHD)
Weber–Morgan Health
Department (WMHD)
Davis County Health
Department (DCHD)

Executive Summary
he Weber–Morgan Health Department (WMHD) is pleased to present its first Community
Health Assessment (CHA) since the early 1990’s. This 2015 CHA was created through a
collaborative effort between the WMHD and our community partners. This CHA documents the
overall health of Weber and Morgan Counties. Understanding the health status, challenges, and
needs of our residents will help the WMHD and its community partners prioritize and coordinate
efforts, direct resource allocation, and provide more effective public health services to the
community.
The WMHD and its community partners collected both primary and secondary data from extensive
sources to form the content of this CHA. Primary data collection included: resident surveys,
resident and health leaders focus groups, interviews with key stakeholders, and resident input from
the PhotoVoice Exhibit. Both English and Spanish speaking residents voiced their health concerns
and provided invaluable feedback to the WMHD. Secondary data was principally collected from the
Centers for Disease Control and Prevention (CDC), the Indicator Based Information System (IBIS),
a database maintained by the Utah Department of Health (UDOH), the U.S. Census Bureau, and
the County Health Rankings & Roadmaps Report by the Robert Wood Johnson Foundation.
These various data sources were compiled and compared to national and state averages and where
possible, to Davis, Salt Lake, and Utah Counties. Of the geographic comparisons, the most
informative comparisons to Weber and Morgan Counties are in this order: nearby counties, local
health departments, the state of Utah, and national averages. By providing geographic based
comparisons, the WMHD is better able to understand areas of strength and improvement. These
comparisons also serve as a basis for prioritizing public health activities in the WMHD. The
community’s health status was also compared against Healthy People 2020 (HP2020) targets,
which are 10-year health objectives developed by experts from 17 federal agencies, including the
CDC, the Food and Drug Administration, the Health Resources and Services Administration, Indian
Health Services, the National Institutes of Health, the U.S. Department of Education, and the U.S.
Department of Agriculture. HP2020 provides health standards against which to measure the health
progress of the residents served by the WMHD.
T

The 2015 CHA presents the most recent national, state, county, and local health department data
available. Because the health status of the community is continuously changing, this CHA will be
updated and released again no later than five years in the future.
The 2015 CHA indicates the WMHD performs well in many areas when comparing health indicators
on a national and state basis, as well as on a local health department level. There are areas for
improvement ranging from minor to significant in the WMHD.1
Weber County is ranked as the 16th
healthiest county out of the 27 counties surveyed in Utah. For the past six years, Morgan County
has ranked as the healthiest county in the state of Utah. Morgan County is one of the healthiest
counties in the nation as it has ranked in the top 10% of U.S. counties for most health indicators.
The WMHD is elated that Morgan County leads the way as the healthiest county in the state,
however it is clear there are opportunities for improvement throughout the health district. The
information of this CHA will be used, to educate, engage, and empower the communities in Weber
and Morgan Counties to improve their health. It will be used by the WMHD and its community
partners to better serve the public by coordinating and prioritizing public health services and
resources to meet the needs of residents. These coordinated and prioritized plans will be formally
outlined in the 2016 Community Health Improvement Plan (CHIP).
Together, public health workers and officials, local government, community leaders, and residents
can use the information in this 2015 CHA to make Weber and Morgan Counties cleaner and safer
communities where healthy individuals and families can thrive.
Brian Bennion, MPA, LEHS
Executive Director/Health Officer
Weber–Morgan Health Department
For questions and suggestions, please contact the
WMHD at (801) 399-7100 during the hours of 8am–
5pm Monday–Friday.

Description of Weber & Morgan Counties
eber County is the second smallest county
in Utah by land area (577 square miles)
and is predominately an urban center with some
rural communities.2,3
It is located in northern Utah
and is directly above urban Davis County. It is
also bordered by the Great Salt Lake to the
west, to the north by the predominantly rural
Counties of Box Elder, Cache, and Rich, to the
southwest by rural Tooele County, and to the
east by rural Morgan County. Weber County is divided by the Wasatch Mountains into the Upper
Valley and Lower Valley regions. A majority of Weber County residents reside in the Lower Valley
region. The Upper Valley region contains a few concentrated pockets of Weber County residents,
but the overall population of the region is less than 10% of the
entire Weber County population. Marsh land abounds near the
Great Salt Lake on the western portion of the county. Elevation
ranges from 4,200 feet in Ogden to approximately 10,000 feet
in the mountains.
Located in the valleys east of the Wasatch Front, Morgan County
is the third smallest county in Utah by land area (609 square
miles) and is a rural county.4,5
It is bordered by five counties —
Weber County to the north, Rich County to the northeast,
Summit County to the east, Salt Lake County to the southwest,
and Davis County to the west. Morgan County is aptly described
as having many high valleys and mountainous terrain. Elevation
ranges from 4,915 feet in Mountain Green, Morgan County to
11,928 feet in the mountains.
Cities and Unincorporated Communities
Weber County consists of 14 cities, 1 town, and 7 unincorporated communities. Morgan County is
comprised of 1 city and 7 unincorporated communities.
W
Geography
Graphic 4: Weber County
Graphic 5: Morgan County
MorganWeber

Government
The county seat of Weber is located in Ogden City. Weber County is
governed by a three member commission that acts as both the legislative
and administrative arms of the county.6
The county seat of Morgan
County is located in Morgan City.
Morgan County is governed by a
county council comprised of
seven members.7
The council acts as the legislative and
administrative arms of the county.6
Climate
The climate in Weber and Morgan Counties is classified as cold and semi-arid. Shrubs and bushes
abound in this climate type. Cold semi-arid climates are typically found deep in the interior of
continental bodies and feature a hot and dry summer with winters being cold and wet. Both
counties receive substantially less average rainfall than the U.S. average, but have significantly
elevated snowfall averages than the national average. Because of the high elevation,
temperatures between day and night can vary greatly. Due to the proximity of the Great Salt
Lake, some portions of Weber County can experience “Lake Effect” or increased snowfall.
Because of the elevated altitude, Morgan County experiences more snowfall in the winter and
overall cooler temperatures than Weber County.
Transportation
Weber County contains many transportation options available to most of its residents. Interstate
15 (I-15) extends through the heavily populated Lower Valley region of Weber County, connecting
the county with Davis and Salt Lake Counties to the south and Box Elder County to the north.
State Route 39 and North Ogden Canyon Road connect the Lower Valley with the less populated
Upper Valley region of Weber County. Interstate 84 (I-84) and State Route 167 are the only
routes in Weber County that connect to Morgan County. Morgan County is connected to Salt Lake
County by State Route 65 and to Summit County by I-84.
Many residents utilize these major interstate and state
roads to commute to employment locations within Weber
and Morgan Counties. Many Weber residents also commute
to places of employment located within Davis and Salt Lake
Counties. More than 50% of employed Morgan residents
commute to the greater Ogden area.8
The FrontRunner commuter rail serves southern and
eastern Weber County with stops in Roy and Ogden City.
Morgan County Council
Weber County Commissioners
Weber County FrontRunner Stop. Photo courtesy PhotoVoice.
MorganWeber

Regional airports include the Ogden-Hinckley Airport and the Morgan County Airport. Without
traffic, the Salt Lake City International Airport is 44 minutes away from Morgan City and 37
minutes away from Ogden City. With traffic, the travel time to the Salt Lake City International
Airport is increased by an additional 20–30 minutes.
The Utah Transit Authority (UTA) provides extensive bus service within the core Lower Valley
region of Weber County, however there are peripheral portions of the west and north sides of the
Lower Valley that are without service. There is limited UTA bus service in the Upper Valley area of
Weber County. Morgan County is not served by a transit
agency — transportation options for residents are primarily
limited to privately owned vehicles.
Ogden City has an extensive trail system that provides
residents with alternative transportation routes designed
for foot traffic and/or bicycles. These healthy modes of
transportation are valued by city residents, however there
are limited safe connection points between the east and
west sides of Ogden City.
What Residents are Saying about Transportation Options
WMHD residents spoke positively of the alternative transportation options available in
Ogden City.
“The trails get better and better.”9
“Love the trails. Please keep them clean.”10
“I love the easy access to all the trails in Ogden.”11
Public transit comments from WMHD residents were also positive.
“It’s easy to get from one place to another, you don’t have to pay for parking.”12
“I love UTA! Gets us broke people out and back and forth to work!”13
“The FrontRunner is my way of connecting to events and to friends and it is a joy to ride
and be safe, instead of wasting gas and fighting traffic — try it you’ll love the ride.”14
29th St. Trail Head. Photo courtesy PhotoVoice.

Demographic Profile
eber and Morgan’s populations were respectively 231,236 and 9,469 in 2010. With a
population increase of 17% from 2000 to 2010, Weber County experienced almost double
the national population increase rate for the same time period. With a 32.8% population increase
from 2000 to 2010, Morgan County experienced more than three times the national population
increase rate for the same time period.
W
Population
Graphic 6: Population Growth
National
Utah
Weber County
Morgan County
308,745,538 (2010)
281,421,906 (2000)
9.7%
Population Increase
2,763,885 (2010)
2,233,169 (2000)
23.7%
Population Increase
231,236 (2010)
196,533 (2000)
17%
Population Increase
9,469 (2010)
7,129 (2000)
32.8%
Population Increase
Source: U.S. Census Bureau

Ogden is the most populous city in Weber County with 35.8% of the total county population, Roy is
the second most populated city with 15.9%, and North Ogden is the third with 7.5%. The Lower Valley
holds 90.6% of Weber County’s total population. According to the U.S Census Bureau, approximately
11% of Weber County’s population resided in a rural area in 2010.15
The percentage of WMHD residents
residing in rural areas is projected to fluctuate between 8.4% and 11% over the next 45 years.
Weber County has a population density of 401.4 per
square mile.16
Nearby Counties have a population density
of 485 (Davis) and 1,274 (Salt Lake) per square mile.
Ogden City has a population density of 3,161 per square
mile, Roy 4,866, and North Ogden 2,670. These population
densities per square mile are higher than those found in
the three largest cities in Utah. Salt Lake has a population
density of 1,709 per square mile, West Valley’s population
density per square mile is 3,651, and Provo has a
population density of 2,555 per square mile.
The most populated region in Morgan County is its
only city, Morgan. According to the U.S. Census
Bureau, in 2010 61% of Morgan County’s population
resided in a rural area.17
This percentage is
estimated to decline to 51% by 2060.18
Morgan County has a population density of 15.5
per square mile.19
Morgan City has a population
density of 1,154 per square mile. Unincorporated
Morgan County has a population density of 9.6
per square mile.
Chart 1: Weber County Population Distribution
0 10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000 90,000
Ogden
Roy
North Ogden
South Ogden
West Haven
Washington Terrace
Pleasant View
Hooper
Farr West
Harrisville
Plain City
Marriott-Slater
Uintah
Huntsville
New Construction in Ogden. Photo courtesy PhotoVoice.
8,000
6,000
3,000
2,000
0
Morgan City Unincorporated
Morgan County
Chart 2: Morgan County
Population Distribution
WeberMorgan

Projected Population Growth
Weber and Morgan Counties are projected to have much growth in the next 45 years. Downtown
Ogden’s population is projected to grow an average of 12% per decade until 2060. The average
population rate increase per decade is forecasted for the remaining regions of the WMHD as
follows: Ben Lomond 24%, Eastern Weber County & Morgan County 22%, Roy/Hooper 13.5%,
South Ogden 5%, and Riverdale less than 1%.
Based on these forecasts the WMHD should anticipate shifting resources to meet the public health
needs of the rapidly growing areas of Ben Lomond and Eastern Weber County and Morgan County.
Age of Residents
Utah has the youngest
population in the nation.
Weber County nearly
mirrors the age distribution
of the state of Utah. It is
substantially different
than the national age
distribution because Weber
County’s population is
considerably younger.
In 2010 the median age
for males and females in
Weber County was 30.2
and 31.4 years. In 2010
the median age for males
and females in Utah was
160,000
140,000
120,000
100,000
80,000
60,000
40,000
20,000
0
2020 2030 2040 2050 2060
Eastern Weber County
and Morgan County
Downtown Ogden
Roy/Hooper
Riverdale
South Ogden
Ben Lomond
Chart 3: Projected Population Growth in the WMHD
Source: http://gomb.utah.gov/budget-policy/demographic-economic-analysis/
Chart 4: 2010 Weber County Age Distribution in Thousands
12 10 8 6 4 2 0 2 4 6 8 10 12
under 5
5–9
10–14
15–19
20–24
25–29
30–34
35–39
40–44
45–49
50–54
55–59
60–64
65–69
70–74
75–79
80–84
85+
Males
Females
Weber

Chart 6: 2010 U.S. Age Distribution in Millions
under 5
5–9
10–14
15–19
20–24
25–29
30–34
35–39
40–44
45–49
50–54
55–59
60–64
65–69
70–74
75–79
80–84
85+
Males
Females
28.7 and 29.7 years. In
2010 the U.S. median age
for males and females was
35.8 and 38.5 years.
Although, Weber County’s
population is slightly older
than the population found
in other sections of Utah, it
is still substantially
younger than the national
average.
Morgan County also has a
young population. The age
distribution in Morgan County
varies greatly from the age
distribution of the U.S. and
state of Utah. Even with the
large population surge of
persons aged 5 to 19, Morgan County has a
slightly higher median age than that of Utah’s
with males and females average age
calculated at 31.2 and 32.7 years.
Chart 5: 2010 Morgan County Age Distribution in Hundreds
6 5 4 3 2 1 0 1 2 3 4 5 6
under 5
5–9
10–14
15–19
20–24
25–29
30–34
35–39
40–44
45–49
50–54
55–59
60–64
65–69
70–74
75–79
80–84
85+
Males
Females
Chart 7: 2010 Utah Age Distribution in Thousands
150 125 100 75 50 25 0 25 50 75 100 125 150
under 5
5–9
10–14
15–19
20–24
25–29
30–34
35–39
40–44
45–49
50–54
55–59
60–64
65–69
70–74
75–79
80–84
85+
Males
Females
15 10 5 0 5 10 15
Morgan

Age Projections
In 2010 in Weber County the three age groups of 0–17, 18–64, and 65 years and older comprised
the following percentages of the total population:
• 0–17 year group, 30%
• 18–64 year group, 59.9%
• 65 year and older group, 10.1%
By 2060 the percentage composition of
the age groups will have shifted as
follows:
• 0–17 year group, 25%
• 18–64 year group, 57.4%
The average age of Weber County
residents is projected to steadily
increase as its elderly population
increases by 7.5% from 2010 to 2060.
With this shift in average age, the
WMHD should expect to see a gradual
shift in the type of health challenges
faced by Weber County residents per capita. With the aging of the Weber County population there
will likely be an increase in cases of old-age diseases, such as Alzheimer’s, and a decrease in
sexually transmitted infections that predominantly occur in younger population groups.
In 2010 in Morgan County the three age groups of 0–17, 18–64, and 65 years and older comprised
the following percentages of the total population:
• 0–17 year group, 35.4%
• 18–64 year group, 54.1%
By 2060 the percentage composition of
the age groups will have shifted as follows:
• 0–17 year group, 31.1%
• 18–64 year group, 53.1%
The average age of Morgan County
residents is projected to steadily increase
as its elderly population increases by
5.3% from 2010 to 2060. With this
transition in average age, the WMHD
should anticipate to see a mild shift in
the type of health challenges faced by Morgan County residents.
300,000
250,000
200,000
150,000
100,000
50,000
0
2020 2030 2040 2050 2060
0–17 18–64 65+
Chart 8: Weber County Age Projections
14,000
12,000
10,000
8,000
6,000
4,000
2,000
0
2020 2030 2040 2050 2060
0–17 18–64 65+
Chart 9: Morgan County Age Projections
MorganWeber

Age Adjustment
Certain conditions and diseases, such as heart attack,
cancer, obesity, and diabetes are less normal in the
younger populations like those found in Weber and Morgan
Counties. In order to make fair comparisons between the
health status of Weber and Morgan Counties and
populations on a national, state, and county level, this
CHA uses age-adjusted data whenever possible.
Race and Ethnicity
Weber and Morgan Counties are predominantly White. 92.9% of Weber and 97.8% of Morgan
residents self-reported as White in the 2010 U.S. Census. The state of Utah reported its
population as 91.6% White. This differs from U.S. data with 77.7% of residents that self-reported
as White. Those reporting two or more races were the next highest measurement in this category
with 2.4% for Weber and 2.3% for Morgan.
Weber County data indicates that racial and ethnic diversity is limited in many areas. Ogden has
the most diversity with a White population of 75.2% and Plain City has the least with 96.9% of
the population reporting as White. Ethnic diversity is also centered in Ogden with 30.1% of
residents identifying as Hispanic or Latino. Most Weber County Minorities reside in Ogden, Roy,
North Ogden, and South Ogden.
Because the sample size of non-white race groups in Weber and Morgan Counties are not large
enough, comparisons across racial lines are unfeasible for this CHA. It is important to be
cognizant of the racial composition of Weber County and acknowledge the health disparities that
exist among the different races.
Differences in race and ethnicity status have consequential impact on health policy and programs.20
The National Research Council explains the difference between race and ethnicity as follows:
Weber County yoga class. Photo courtesy PhotoVoice.
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0
Weber Morgan State of Utah National
Chart 10: 2013 Race Data
White
Black or African
American
American Indian
& Alaska Native
Asian
Native Hawaiian
& Pacific Islander
Two or More Races

“Races…[are] distinguished on the basis of physical characteristics, especially skin color,
[whereas] ethnic distinctions generally focus on such cultural characteristics as [shared]
language, history, religion, and customs.”21
The following table shows the racial and ethnic composition of Weber County.
Table 1: Weber County Ethnicity and Race By City
Cities in Order of
Ethnicity Race
Population Size
Black American Native Hawaiian Two or
Hispanic White African Indian & Asian and other More
American Alaska Native Pacific Islander Races
Ogden 30.1% 75.2% 2.2% 1.4% 1.2% 0.3% 3.7%
Roy 13.5% 87% 1.1% 0.6% 1.9% 0.2% 3.4%
North Ogden 5.4% 94.3% 0.5% 0.4% 0.9% 0.2% 1.9%
South Ogden 12.8% 87.5% 1.4% 0.6% 1.3% 0.3% 3.2%
West Haven 8.9% 91% 1.0% 0.6% 1.3% 0.1% 3.1%
Washington Terrace 12.9% 86.9% 2.1% 0.7% 1.3% 0.3% 2.7%
Pleasant View 7.3% 93.1% 0.4% 0.2% 0.9% 0.4% 1.9%
Hooper 5.3% 94.6% 0.4% 0.6% 0.9% 0.1% 1.8%
Farr West 5.2% 95.5% 0.3% 0.3% 0.6% 0.2% 1.5%
Harrisville 8.4% 92.4% 0.6% 0.4% 1.3% 0.2% 2.0%
Plain City 2.7% 96.9% 0.2% 0.3% 0.5% 0.3% 1.1%

Social and Economic Characteristics
n 2014, Weber County’s total workforce of 96,818 was comprised of 76,664 private sector
jobs and 20,154 public sector jobs.22
When combining all local, state, and federal employees,
the government sector provides 20.8% of all Weber County jobs.
The largest industry was manufacturing (transportation equipment, chemical, machinery, and
fabricated metal products) with 12,900 employees or 13.2% of the total Weber County
workforce; this industry generates an average monthly wage of $4,352. Healthcare and social
assistance (ambulatory healthcare services, hospitals, nursing facilities, and social assistance)
was a close second with 12,402 jobs or 12.8% of the total workforce; this industry generates an
average monthly wage of $3,485. Retail trade (general merchandise, food and beverage stores,
and motor vehicle parts and distributors) was the third largest industry with 11,700 employees or
12% of the total workforce; this industry generates an average monthly wage of $2,162. Local
government was the 4th largest employer with 8,963
employees or 9.2% of the total workforce; this industry
generates an average monthly wage of $2,730.
The average monthly wage in 2014 in Weber County was
$3,127 or $37,524 per year.23
The average annual national
wage in 2013 was $44,888 or 19.6% higher than Weber
County’s average annual wage.24
The Utah average annual
wage in 2014 was $42,180 or 12.4% higher than Weber
County’s average.25
In 2014, Morgan County’s total workforce of 1,948 was comprised of 1,487 private sector jobs
and 461 public sector jobs.26
When combining all local, state, and federal employees, the
government sector provides 23.6% of all Morgan County jobs.
Local government was the largest employer in Morgan County with 427 employees or 21.9% of
the total workforce; this industry generates an average monthly wage of $4,830. The second
largest industry was construction (specialty trade contractors, heavy and civil engineering
construction, and construction of buildings) with 322 employees or 16.5% of the total Morgan
I
Workforce Composition and Wages
The Average Employee
in Weber County Makes
12.4% Less than the
Average Utah Wage and
19.6% Less than the
Average National Wage.
Source: Utah Department of Workforce Services
MorganWeber

County workforce; this industry generates an average monthly
wage of $3,114. Retail trade (nonstore retailers and motor
vehicle parts and distributors) was the third largest industry
with 205 employees or 10.5% of the total workforce; this
industry generates an average monthly wage of $1,267.
Healthcare and social assistance (ambulatory healthcare
services, hospitals, nursing facilities, and social assistance)
was the fourth largest industry with 201 jobs or 10.3% of the
total workforce; this industry generates an average monthly
wage of $3,485.
The average monthly wage in 2014 in Morgan County was $3,033 or $36,369 per year.27
Cost of Living
Cost of living is a measurement to determine how expensive it is to live in one area relative to
another. It is most useful when used for evaluating the nearest metropolitan area and the U.S.
average, which is set at 100. Any cost of living category over 100 indicates the area it is more
expensive than the U.S. average and data below 100 indicates the area is more affordable. There
is no cost of living data specific for Weber or Morgan Counties. Cost of living data for Weber and
Morgan Counties is calculated from an area that combines these counties with Davis County into
the Ogden-Clearfield Metropolitan area. The Ogden-Clearfield Metropolitan area is generally more
affordable than both the U.S. average and the values of Salt Lake City. Only in utilities and
groceries does the Ogden-Clearfield Metropolitan area slightly exceed either the Salt Lake City or
U.S. measurements. Given the average wages in Weber and Morgan Counties, which are lower
than both the U.S. and state of Utah averages, the benefits of a lower cost of living are muted.
Table 2: Cost of Living Assessment
Cost of Living Ogden-Clearfield Salt Lake City United States
Category Metro. Area Utah Average
Overall 90.5 94.8 100
Groceries 94.9 92 100
Health 86.3 91 100
Housing 80.1 90.4 100
Utilities 102.8 80.8 100
Transportation 93.5 95.5 100
Miscellaneous 93.7 93.4 100
Source: http://mura.daviscountyutah.gov/economic_development/business-development/demographicspopulationcost-of-living/Education
The Average Worker in
Morgan County Makes
15.9% Less than the
Average Utah Wage and
23.4% Less than the
Average National Wage.
Source: Utah Department of Workforce Services
Morgan

Education
There are three school districts in the WMHD — Weber, Ogden, and Morgan School Districts.
When comparing the 2014 student size of the school districts, Weber is the 6th largest, followed
by Ogden at the 12th largest, and Morgan as the 26th largest school district out of the total of 40
school districts in the state of Utah.28
The following table shows how many public high schools,
junior high schools, and elementary schools are in each of the school districts in the WMHD.
Table 3: School Type by District
High Schools Junior High Schools Elementary Schools
Weber School District 7 10 29
Ogden School District 3 3 14
Morgan School District 1 1 2
Sources: http://wsd.net/index.php?option=com_content&view=category&id=81&Itemid=472, https://ogdensd.org/school_sites.php, http://www.morgansd.org/
district/District.htm
There are seven charter schools in Weber County and none in Morgan County. Because these
charter schools serve student populations ranging anywhere between kindergarten and 12th
grade they cannot be classified as a high school, junior high school or elementary school.
The 2013 high school graduation rates for the three school district are as follows:29
Table 4: High School Graduation
Morgan School District (MSD): 93%
Weber School District (WSD): 81%
Ogden School District (OSD): 68%
Overall State of Utah: 81%
Higher Education in the WMHD is primarily served by Weber State University (WSU) which has
more than 26,000 students enrolled.30
WSU offers more than 250 undergraduate degrees, 11
graduate programs, and a variety of professional certificate programs.31
Some residents commute
to nearby counties to attend the University of Utah, Utah State University, Salt Lake Community
College, Westminster College, and LDS Business College. There are vocational schools available
within the WMHD. There are many accredited remote institutions of higher education, such as
University of Phoenix and Walden University, available to residents as well.
Weber County has an opportunity of improvement with 22.7% of its adults 25 years or older that
have a bachelor’s degree or higher. Morgan County does well in this measurement and exceeds
the state and national average by several percentage points. The table below shows how Weber
and Morgan compare to the U.S., state of Utah, and nearby counties.

United State of Weber Morgan Davis Salt Lake Utah
States Utah County County County County County
Adults 25 Years+
with a Bachelor’s 28.8% 30.3% 22.7% 33.4% 34.1% 31% 36.5%
Degree or Higher
Religion
In 2010, 75.3% of residents in Weber and 89.63% of Morgan Counties identified as religious,
which is significantly higher than the U.S. average of 48.8%.32
There are 398 congregations in Weber County of which 314 are LDS, 22 are Pentecostal, 14 are
Baptist, 10 are non-denominational, and 6 are Catholic.33
In Morgan County there are 23 congregations of which 22 are LDS and 1 is Baptist.34
Politics
Many residents in Weber and Morgan Counties participate in voting. Table 6 compares the party
affiliation on a county, state, and national level. As noted in Table 6, both Weber and Morgan
residents are predominantly registered Republican or are unaffiliated with any party.
Weber Morgan Davis Salt Lake Utah
County County County County County
Total Number of
Registered Voters: 114,946 5,246 140,431 434,135 263,150
Percentage of Registered Voters by Party Registration
Unaffiliated 47.9% 41.4% 38.9% 47.8% 37.6%
Republican 40.1% 54.0% 52.9% 37% 55.6%
Democratic 10.3% 3.3% 6.7% 13.5% 4.8%
Independent
American
0.7% 0.4% 0.5% 0.7% 0.6%
Libertarian 0.5% 0.2% 0.5% 0.6% 0.7%
Constitution 0.3% 0.7% 0.2% 0.2% 0.7%
Sources: http://www3.co.weber.ut.us/new/clerk_auditor/elections/voter_stats.php
Table 5: Adults with a Bachelor Degree or Higher
Table 6: Voter Party Affiliation

Healthcare
There are two main hospitals that serve Morgan
and Weber Counties — Ogden Regional Medical
Center and Intermountain Healthcare’s McKay-
Dee Hospital. Both hospitals are located in south
Weber County near the border of Davis County.
Special Population
Under-Educated Populations
Education imparts a significant impact on health
outcomes. Weber County has a concentrated
pocket of residents that have not graduated
from high school. The map to the right shows
regions where at least 20% of residents have
not received their high school diploma. Some
of these areas have up to 39% of the population
— more than 1 in 3 adults — that do not have
a high school education. Except for a small
sliver in West Haven, almost all of these areas
exist in Ogden City.
Morgan County has a high school graduation
rate of 93%. A map is not available for this
measurement because there are no census
tracts in Morgan County with a concentration
of least 20% of residents that did not complete
a high school degree.
Populations in Poverty
Poverty and poor health are intricately linked.
Weber County has a concentrated pocket of
residents that live at or below 100% of the Federal
Poverty Level (FPL). The poverty threshold
varies by family size and age.35
In 2014 a
family of two, under the age of 65, can earn
$15,853 to be considered at 100% of the FPL.
A family of two, at or above the age of 65, can
earn $14,309 to be considered at 100% of the
FPL. Each additional person increases the
maximum amount the family can earn.
4% of Morgan County residents live at or below
the FPL. Because the number is so low it does
not warrant the use of a map.
McKay-Dee Hospital
Map 1: Areas in Weber County Where
20–39% of Residents Did Not Graduate
from High School (2013)
Map 2: Areas in Weber County Where
20–45% of Residents Live at or Below
100% of the Federal Poverty Level (2013)
Source: http://assessment.communitycommons.org/Footprint/
Source: http://assessment.communitycommons.org/Footprint/
MorganMorganWeberWeber

Residents with Disabilities
Weber County has more residents 5 years and older with disabilities than any of the nearby
compared counties. With 2.5% of residents 5 years and older with disabilities, Morgan County is
the lowest of the compared counties. The following table evaluates both physical and learning
disabilities.36
Weber County
residents with
disabilities are fairly
stationary with
87.2% reporting
living in the same
location one year
ago. For Morgan
County the number
was 86.2%.37
Veterans
According to the 2010 Census, 16,813 or 7.3% of Weber County
residents are veterans.38
For Morgan County, 725 or 7.6% of all
residents are veterans.39
Homeless
In 2012, 1,290 residents or 0.5% of the total population in Weber
County were homeless. In 2012, there were no reported homeless
residents in Morgan County. For Davis County this measurement
was 0.1% of the total population, in Salt Lake County it was 1%, and for Utah County it was
0.1%. In 2012 the state of Utah average for this measurement was 0.11% and the national was
0.2%. As of 2012 Weber County has 4.5 times the state average and 2.5 times the national
average of residents which are homeless.40
Incarcerated Residents
Weber County’s incarcerated residents are held in either the Weber Correctional Facility or the
Kiesel Jail Facility. Morgan County does not have a jail and its incarcerated residents are held in
one of the two facilities operated by Weber County. As of September 2015, approximately 0.1%
of Weber County’s and 0.01% of Morgan County’s total population is currently incarcerated.41
Residents with Potential Language Barriers and Challenges
13.2% of Weber County residents 5 years or older speak a language other than English at
home.42
Only 3.3% of Morgan County residents 5 years or older speak a language other than
English at home.43
This measurement for the state of Utah is 14.3%.
Chart 11: 2005–2007 Residents 5 Years & Older With Disabilities
0% 2% 4% 6% 8% 10% 12% 14% 16%
Utah County
Salt Lake County
Davis County
Morgan County
Weber County
Source: http://disabilityplanningdata.com/site/county_population_table.php?cntyname=Davis&state=utah&submit=submit

2014 County Health Rankings
he Robert Wood Johnson Foundation developed a ranking system to evaluate and compare
the health status of nearly all counties in the United States of America. The graph below
shows how Weber and Morgan Counties compared against the 27 evaluated counties in Utah. This
ranking system provides an ideal starting point for evaluating the health of the community. Weber
County scored as the 16th
healthiest county in Utah. Morgan County scored as the 1st
healthiest
county in Utah.
T
Chart 12:
Health Rankings of
Weber & Morgan
Counties
Tobacco Use
Diet & Exercise
Alcohol & Drug Use
Sexual Activity
Access to Care
Quality of Care
Education
Employment
Income
Family & Social
Support
Community Safety
Air & Water Quality
Housing & Transit
Length of Life (50%)
Quality of Life (50%)
Health Behaviors (30%)
Clinical Care (20%)
Physical
Environment (10%
Social & Economic
Factors (40%)
Health Outcomes (100%)
Health Factors (100%)
Policies & ProgramsThe above ranking system is scored from 1st to 27th. The healthiest
county is scored 1st and the least healthy is scored 27th. Although
there are 29 counties in Utah, only 27 were evaluated.
Weber County
Morgan County
10th 3rd
19th 1st 16th 1st
18th 2nd
17th 8th
8th 3rd
21st 1st
19th 22nd
Photo Credit: Laniece RobertsPhoto Credit: Laniece Roberts

1. http://www.countyhealthrankings.org/app/utah/2015/rankings/morgan/county/outcomes/overall/snapshot
2. http://ilovehistory.utah.gov/place/counties/weber.html
3. http://quickfacts.census.gov/qfd/states/49/49057.html
4. http://ilovehistory.utah.gov/place/counties/morgan.html
6. http://www.co.weber.ut.us/commission/
7. http://www.morgan-county.net/Departments/Council.aspx
8. http://ilovehistory.utah.gov/place/counties/morgan.html#land
9. 2014 WMHD Focus Groups
10. 2015 WMHD PhotoVoice
12. 2014 WMHD Focus Groups
15. https://www.census.gov/geo/reference/urban-rural.html
17. https://www.census.gov/geo/reference/urban-rural.html
18. http://gomb.utah.gov/budget-policy/demographic-economic-analysis/
20. http://www.nap.edu/catalog/11036/understanding-racial-and-ethnic-differences-in-health-in-late-life
21. http://www.nap.edu/openbook.php?record_id=11036&page=9
22. https://jobs.utah.gov/jsp/wi/utalmis/industrydetail.do
24. http://www.ssa.gov/oact/cola/AWI.html
28. http://www.schools.utah.gov/data/Superintendents-Annual-Report/2014/GraduationReport.aspx
29. http://www.schools.utah.gov/data/Superintendents-Annual-Report/2014/GraduationReport.aspx
30. http://www.weber.edu/AboutWSU/FastFacts.html
31. http://www.weber.edu/AboutWSU/FastFacts.html
32. http://www.bestplaces.net/religion/county/utah/weber
33. http://www.thearda.com/rcms2010/ar/c/49/rcms2010_49057_county_name_2010.asp
34. http://www.thearda.com/rcms2010/r/c/49/rcms2010_49029_county_name_2010.asp
35. https://www.census.gov/hhes/www/poverty/data/threshld/
36. http://disabilityplanningdata.com/site/faq.php#defined
37. http://disabilityplanningdata.com/site/county_population_table.php?cntyname=Morgan&state=utah&submit=submit
40. https://jobs.utah.gov/housing/documents/Utah2012ComprehensiveReportonHomelessness.pdf
41. Information provided by the Weber County Sherriff’s Department
44. http://www.cdc.gov/nchs/data/nhsr/nhsr077.pdf
Section 1 Endnotes

Section 2 Mortality
Mortality data tells
how many people
died and what was
the cause of death.

remature death or years of potential life lost (YPLL) is a measurement emphasizing early
deaths before the age of 75. Knowing the YPLL helps enhance focus on preventable deaths.
Chart 13 compares Weber and Morgan Counties with nearby counties, Utah, and national averages
from 2005-2013. Weber County has been fairly consistent for the past few years, but due to
national improvements it is now slightly above the U.S. average; there is room for improvement
in Weber. At present, the WMHD cannot conclusively account for the anomalous jump in YPLL in
Morgan, which had stayed reasonably consistent from 2005-2011. One potential explanation is
that adult obesity rates increased in
Morgan by 2% since 2007 and there
were increased obesity related
deaths as a result. Recent Morgan
YPLL data warrants careful monitoring
by the WMHD and additional
research to pinpoint the exact
cause(s) for this increase.
P
Health Indicator 1 Premature Death
7500
7000
6500
6000
5500
5000
4500
4000
3500
3000
2005–07 2007–09 2009–11 2001–13
Weber County
Morgan County
Davis County
Salt Lake County
Utah County
State of Utah
United States
Chart 13: Years of Potential Life Lost
Source: http://www.healthindicators.gov/Indicators/Years-of-potential-life-lost-before-age-75-per-100000_3/Profile/Download
Even with Morgan’s recent jump in YPLL,
bringing it in parity with Davis County,
it is still in the top 10% of performing
counties in the U.S. for YPLL.
✓

ife expectancy is an estimate of how
many years the average person will
live and it is an important measure of health.
Life expectancy and death rates have an
inverse relationship; low death rates mean
longer life expectancy and vice versa.
As outlined in Table 7, some parts of the
WMHD are surpassing both the average
national life expectancy. Overall, the WMHD
life expectancy lags compared to Utah and
nearby LHDs. Much of the positive life
expectancy in Utah and the WMHD can be
attributed to the healthy diet and behaviors
promoted by the community.
L
Health Indicator 2 Death Rate & Life Expectancy
Table 7: How Long You Live by Area
Eastern Weber County & Morgan County 81.5
Downtown Ogden 76.1
South Ogden 80.7
Riverdale 78.2
Roy/Hooper 79.3
Ben Lomond 77.5
Davis County 81.1
Salt Lake County 79.7
Utah County 81.0
Source: http://ibis.health.utah.gov/indicator/complete_profile/LifeExpect.html
U.S.
78.8
Utah
80.2
WMHD
79.1
Graphic 7:
Life Expectancy
Source: http://ibis.health.utah.gov/indicator/complete_profile/LifeExpect.html

Health Indicator 3 Leading Causes of Death
Source: https://www.healthypeople.gov/2020/
topics-objectives/topic/cancer/objectives
Source: https://www.healthypeople.gov/2020/topics-objectives/topic/
heart-disease-and-stroke/objectives
Weber and
Morgan have
achieved
HP2020’s goal
of ≤ 161.4
cancer deaths
per 100,000.
Morgan has achieved
HP2020’s goal of ≤ 30.4
stroke deaths per 100,000.
✓
✓
Table 8: Top 10 Causes of Deaths Per 100,000 Age-Adjusted
Rounded Average of 2011–2013 Data
U.S. Utah County County County County County
Heart Disease 171 145 158 162 145 142 157
Cancer 166 127 133 115 123 130 120
Stroke 37 38 42 30 35 35 47
Chronic Lung
Disease 42 31 42 21 25 33 20
Accidents 39 43 44 29 39 43 37
Diabetes 21 25 30 22 24 28 25
Alzheimer’s 24 20 17 — 18 17 21
Influenza &
Pneumonia 15 17 21 — 17 16 16
Nephritis 13 13 15 — 11 10 18
Suicide 13 21 23 — 15 21 17
Equal to or better than both Utah and U.S.
Worse than U.S. or Utah, but not both
Worse than both U.S. and Utah
Morgan County uses a rounded
average of 1999–2013 data for
categories other than cancer and
heart disease.
Sources: http://wonder.cdc.gov/controller/datarequest/D76,
http://ibis.health.utah.gov/indicator/complete_profile/LifeExpect.html
Although data is insufficient, due to
confidentiality concerns, to illustrate all
categories, Morgan is excelling with low
death rates. In Weber there are several
opportunities for improvement. It should
be noted in Utah that insulin-dependent
diabetics died 3.4 times the rate of
non-insulin-dependent diabetics;
nationally this rate was 5.1 times for
insulin-dependent diabetics (150%
greater than Utah’s 3.4 rate results).

Health Indicator 4 Chronic Disease Death Rates
Table 9: Chronic Disease Death Per 100,000 Age-Adjusted
2011–2013 Data Unless * then 2009–2013
Equal to or better than Utah
Worse than Utah
Source: http://ibis.health.utah.gov/
hronic disease can be
treated, but not cured.
Treating chronic disease accounts
for 86% of all healthcare costs in
the U.S.1
Heart disease and all
forms of cancer are the leading
causes of chronic disease deaths
in the WMHD.
Although, the WMHD shows a need
for improvement when compared
to Utah and nearby LHDs, it has
achieved the HP2020 goal for all
of these chronic disease deaths;
**Alzheimer’s excepted, as there
is no death rate goal associated
with it.
C
Utah WMHD DCHD SLCoHD UCHD
Breast Cancer 20.4 20.8 21.2 20 20.8
Prostate Cancer* 22.2 19.2 19.6 22.4 20.2
Lung Cancer 19.6 23.7 17.6 20.9 12.9
Melanoma of
the Skin — 3.8 3.1 3.4 4.2
Colorectal Cancer* 11.5 12.9 10.6 11.6 11.9
Diabetes 25.2 28.4 23.4 27.5 25
Alzheimers* 19.5 16.3 18.8 14.2 18.6
Stroke 37.6 41 34.5 35.2 46.1
Coronary Heart
Disease 69 84.6 75.4 61.7 66
Source: www.healthypeople.gov
The WMHD has achieved the
HP2020’s goals for these
chronic disease deaths**✓

Health Indicator 5 Injury Death Rates
njury death rates include both unintentional and intentional causes of death. It is a
valuable measurement because it shifts attention to evaluating safety protocols, education,
and access to potentially harmful materials. Per Table 10, there is room for improvement in Weber
County when compared to the U.S., Utah, and nearby LHDs’ results—especially in firearm safety
and poisoning.
I
Table 10: Top 4 Causes of Injury Death Rates Per 100,000
Age-AdjustedRounded Average of 2008–2013 Data
Firearm 18 21 25 15 20 18
Poisoning 18 27 29 18 29 18
Falling 11 12 11
23
12 13 11
Motor Vehicle
Traffic
16 12 13 <10 10 18
Due to confidentiality concerns, Morgan
County’s death rates for all 4 categories
were merged together. Morgan is under
the national and state average for each
and every category on this list.
Source: http://wonder.cdc.gov/controller/datarequest/D76;jsessionid=852BD4B7034191B43AA9BF3C9CCA4AFF
Weber County may
meet the HP2020
goal of ≤12.4
motor vehicle
traffic deaths.
Weber County will likely not meet three HP2020 goals:
≤13.2 poisoning deaths, ≤9.3 firearm deaths, and ≤7.2
fall related deaths per 100,000 residents.
Morgan County has achieved the HP2020’s
goals for all of these categories.
!
X
✓Source: https://www.healthypeople.gov/2020/topics-objectives/topic/injury-and-violence-prevention/objectives

Drugs* are Responsible
for 90.1% of Poisoning
Deaths in Utah
The WMHD ranks as the
3rd highest LHD out of
12 for deaths by drug
poisoning
62–86%
of poisoning deaths
are unintentional
14–38%
of poisoning deaths
are intentional
*Drugs include prescription drugs, over-the-counter drugs, dietary supplements, and street drugs such as heroin, cocaine, and hallucinogens.
Source: http://ibis.health.utah.gov/indicator/complete_profile/PoiDth.html
Table 11: Drug Poisoning Deaths by Area
and Percentage (2011–2013)
Downtown Ogden 31.2%
South Ogden 17.6%
Riverdale 15.4%
Roy/Hooper 13.8%
Ben Lomond 13.4%
Eastern Weber County & Morgan County 8.7%
With approximately 90% of poisoning
deaths occuring from drugs use, of
which 62% were unintentional deaths,
there is a great need for improved
education on appropriate drug usage,
storage, and disposal. As shown in Table
11, the areas with the greatest need for
poison prevention are Downtown Ogden
and South Ogden.2
What are Residents Saying?
“[Drugs are] very accessible. It’s kid-friendly.”
“They’re making drugs that look like candy, taste like candy, and are easy to get.”
“People turn towards prescriptions than counseling because they want a quick fix.”3
Community Resources
The Annual Safe Kids Fair hosted by the WMHD educates children and adults on safety regarding
motor vehicle, falls, and poisoning.4
Weber Human Services, McKay-Dee Hospital, and Ogden
Regional Medical Center are also community resources for these community health issues.
Graphic 8: Poisoning Deaths By Drugs
Source: http://ibis.health.utah.gov/indicator/view/PoiDth.LHD.html

Table 12: Suicide by Area Per 100,000
Residents
Downtown Ogden 31.3%
Eastern Weber County and
Morgan County 23.5%
Riverdale 22.7%
Ben Lomond 21.3%
Roy/Hooper 20.0%
South Ogden 13.6%
Davis County Health Department 15.2%
Salt Lake County Health Department 20.8%
Utah County Health Department 15.2%
Health Indicator 6 Suicide
uicide is a significant indicator of poor
mental health in the community. As of
2014, Utah is the 5th highest state for suicide.5
In Utah and Weber County suicide is the 7th
leading cause of death for all age groups
combined; it is the leading cause of death for
Utahns aged 10-17, the second-leading cause
of death for ages 18-24 and 24-44, the fourth-
leading cause of death for ages 45-64.6
In Utah, the primary method of suicide is
firearms for males and poison for females.
Both methods are trending upwards: 14.7
males (2007) compared to 19.4 males (2013)
per 100,000; 2.8 females (2007) compared to
3.3 females (2013) per 100,000).7
S
Suicide is a community health problem that is
moderately trending upwards. Males are more
likely to complete suicide because they use
more lethal methods, however females make
more attempts.8
On a per 100,000 population:
in 2012, 20.3 U.S. / 33.0 Utah males
completed suicide compared to 5.4 U.S. / 9.0
Utah females.9
HP2020 has set a goal of no more than 10.2
suicides per 100,000 residents.10
Table 12
shows that all areas served by the WMHD are
falling short of this HP2020 goal and that we do
not compare well to some of the nearby LHDs.
U.S.
12.6
Utah
21.4
WMHD
26.0
Graphic 9: Suicide Per 100,000 Residents
Age-Adjusted 2013 Data
Source: http://ibis.health.utah.gov/indicator/view/SuicDth.SA.html
Source: http://ibis.health.utah.gov/indicator/view/SuicDth.html

A contributing factor to suicide is depression and social isolation. Weber residents shared the following:
“Depression stems from people here not being very social, people…stick with their family.”
“…feel like an outsider…have felt that way my whole time spent here.”
“Neighborhood mentality has gone by the wayside.”11
Community Resources
Local and national suicide education/prevention resources available include:
• Counseling services made available by the numerous religious denominations
• Mental health services by Midtown Clinic and its partner Weber Human Services (WHS)
• Education and programs offered at WHS for those suffering mental illness provided by the Utah
branch of the National Alliance of Mental Illness (NAMI)
• Nuhope.Net
• WMHD health educators
Local and national suicide crisis resources available include:
• The 24 hour/7 days Weber Human Services Crisis Prevention Hotline (801) 625-3700
• The 24 hour/7 days National Suicide Prevention Lifeline 1-800-273-TALK
• The Trevor Lifeline for LGBTQ 1-866-488-7386
• The University of Utah Neuropsychiatric Institute’s Crisis Hotline: 801-587-3000
• The Weber-Morgan Health Department: 801-399-7187 or 801-399-7186
• Online suicide prevention chat available at: http://www.suicidepreventionlifeline.org/

Health Indicator 7 Infant Mortality
nfant mortality is a snapshot
indicator of the general health of
the community and of the wide range of
factors impacting the health of children.
Death rates for infants are the highest of
any group under the age of 65 years,
hence the importance of focusing on it.12
Overall Weber and Morgan Counties are
doing well in this measurement and have
achieved the HP2020 goal of no more than 6.0 infant deaths per 1,000.13
Although, most of
Weber County is doing well, there are pockets in need of improvement. Hooper/Roy has a rate of
8.3, Ben Lomond 6.3, and Downtown Ogden a rate of 6.3 infant deaths per 1,000 respectively;
of the areas in the WMHD these need additional attention to bring the rates down.14
I Table 13: Infant Death Rate Per 1,000 (2009–13)
6.1 5.1 5.8 No Data 5.4 5.3 4.6
*Because of the small population in Morgan County, its data is low in this measurement and
it cannot be shown due to confidentiality concerns.
Source: http://wonder.cdc.gov/controller/datarequest/D76;jsessionid=79FD01A34476D3544D6E39C9EB313BA1?stage=results&action=toggle&p=O_show_
suppressed&v=true
Weber and Morgan Counties have met HP2020’s goal of no
more than 6.0 infant deaths per 1,000.
✓
Section 2 Endnotes
1. http://www.cdc.gov/chronicdisease/index.htm
2. http://ibis.health.utah.gov/indicator/complete_profile/PoiDth.html
3. Weber-Morgan Health Department Community Health Assessment:
Focus Group Report. Page 13.
4. http://www.co.weber.ut.us/health/safe_kids.php?d=5
5. http://www.co.weber.ut.us/health/safe_kids.php?d=5
6. http://www.rwjf.org/en/library/articles-and-news/2013/06/
solving-the-riddle-of-the-u-s--suicide-belt.html
7. http://ibis.health.utah.gov/indicator/view/SuicDth.Ut_US.html
8. http://ibis.health.utah.gov/indicator/view_numbers/SuicDth.
MethSex.html
9. http://www.webermorganhealth.org/prevent_%20suicide.php
10. http://ibis.health.utah.gov/indicator/view_numbers/SuicDth.
Ut_US.html
11. Weber-Morgan Health Department Community Health Assessment:
Focus Group Report. Page 10.
12. http://pediatrics.aappublications.org/content/78/6/1155.abstract
13. http://www.healthypeople.gov/2020/topics-objectives/topic/
maternal-infant-and-child-health/objectives
14. http://ibis.health.utah.gov/indicator/view_numbers/InfMort.SA.html
Source: http://ibis.health.utah.gov/indicator/view/InfMort.html

Section 3 Morbidity
Morbidity data tells
how many people
are diseased or
unhealthy.

Health Indicator 8 Health Related Quality of Life
Sources: http://www.countyhealthrankings.org/app/utah/2015/rankings/utah/county/outcomes/overall/snapshot, http://www.countyhealthrankings.org/app/
utah/2015/rankings/salt-lake/county/outcomes/overall/snapshot , 2015 2015 WMHD WIC Survey Results , http://www.countyhealthrankings.org/app/utah/2015/
rankings/morgan/county/outcomes/overall/snapshot, http://ibis.health.utah.gov/indicator/view_numbers/FPHlth.Ut_USYear.html, http://www.countyhealthrankings.org/
app/utah/2015/rankings/weber/county/outcomes/overall/snapshot, http://www.healthypeople.gov/2020/about/foundation-health-measures/General-Health-Status
ealth related quality of life is a multi-faceted measurement, which includes self-reported
evaluations on overall health, as well as information on perceived physical and mental
health. Health related quality of life is an important measurement that provides perspective to
the overall burden of chronic disease, disabilities, and mental health in the general community.
The three ways health related quality of life will be measured are as follows:
• The percentage of adults that self-report having poor or fair health
• The average number of days of poor mental health self-reported by adults
• The average number of days of poor physical health self-reported by adults
Weber County is positively outperforming national results for the percentage of adults self-reporting
poor or fair health. Weber County also is essentially equivalent to national and state outcomes on
both the average number of poor mental health days and on the average number of poor physical
health days. Weber’s Women, Infant, and Children (WIC) population is comparable with the rest of
the county with 14.3% percentage of WIC adults reporting poor or fair health. For Weber County
WIC clients there is a strong need for improvement in the average number of poor mental health
and physical days experienced with scores of 10.4 and 11.7 respectively. When compared to other
counties, Utah, and national results it is clear Morgan is the healthiest in all three measurements.
Morgan’s WIC population is doing better in the first two measurements with scores of 0% and 2.8
days. The Morgan WIC population is only slightly behind the national, state, and other counties’
average number of poor physical days with a score of 3.7.
Table 14 contains 2006–2012 data unless otherwise noted.
Table 14: Health Related Quality of Life Indicators
U.S. State of Weber Morgan Davis Salt Lake Utah
(2008) Utah County County County County County
Percentage of Adults
Self-Reporting Poor 17.4% 13.8% 14% 5% 10% 12% 11%
or Fair Health
Average Number of Poor 3.6 3.3 3.6 1.7 3.1 3.3 3.5
Mental Health Days
Average Number of Poor 3.4 3.2 3.5 2.3 3.0 3.3 3.1
Physical Days
H

Health Indicator 9 Birth Outcomes
irth outcomes are an important measurement because they influence current and future
morbidity of children. Birth outcomes, with health consequences at birth and throughout a
child’s life, include the following:
• Children born with a low birth weight, anything less than 5 pounds 8 ounces, have an
increased chance for infant mortality, developing chronic diseases, and frequently require
expensive and intensive care.1
• Children born to women with poorly managed
gestational diabetes have an increased risk for
developing obesity and type two diabetes.2
• Preterm births (births before 37 weeks)
increase the chance for infant mortality, health
complications, and costly care.3
• Females with unintended pregnancies —
pregnancies that were not planned or currently wanted — that progress to a live birth are less
likely to seek early prenatal care or maintain prenatal care throughout the pregnancy, are
more likely to smoke or drink during the pregnancy, and are more likely to formula feed; these
behaviors have critical consequences on the current and future health of children.4
Children
born to teenage mothers are likely the result of an unintended pregnancy.5
In Utah, 68% of
18-19 year old females and 79.3% of 17 year old or younger females indicated their
pregnancies were unintended.6
• Children born to teenage mothers are at increased risk for long-term physical or mental illness
and are also at elevated risk for low birth weight and infant mortality.7, 8
Table 15 shows the percentage of births from 2011–2013 with low birth weights, the percentage
of birth certificates from 2009–2010 indicating gestational diabetes, the rate of preterm births in
2013, unintentional birth — births that were unplanned or currently unwanted — rates from 2009–
2011, and the 2013 birth rate per 1,000 teenage mothers that are 15–19 years old. The WMHD is
doing well in some categories, but has a few areas of moderate improvement and one area of
significant improvement — teen pregnancy in Weber County. Downtown Ogden and Ben Lomond
each have 5 times the rate of infants born to teenage mothers than east Weber County and
Morgan County combined.9
B
Birth outcomes are
considered a critical
health indicator for Utah
because it has the highest
birth rate of the states.
✓
Source: http://kff.org/other/state-indicator/birth-rate-per-1000/

Table 15: Birth Outcomes
U.S. Utah WMHD DCHD SLCoHD UCHD
Percentage of Births 8% 6.9% 7.5% 6.8% 7.4% 5.8%
with Low Birth Weights (2013)
(2011–2013)
Birth Certificates 4.6% 3.4% 3% 2.8% 3.7% 3.5%
Indicating Gestational
Diabetes (2009–2010)
Percentage of Preterm 11.4% 9.2% 9.1% 9.5% 9.5% 8.6%
Births (2013)
Unintentional Birth Rate 31.8% 32.6% 33.7% 30.3% 35.5% 28.2%
(2009–2011)
Teen (15–19 Years Old) 36.6 29.7 43.6 (Weber) 23.1 35.9 17.9
Pregnancy Rate Per 10.1 (Morgan)
1,000 (2006–2012)
Teen (15–19 Years Old) 26.6 20.6 31 14.6 25.4 12.7
Live Births Per 1,000
(2013)
Sources: http://ibis.health.utah.gov/indicator/complete_profile/UniPreg.html, http://www.healthypeople.gov/2020/topics-objectives/topic/family-planning/
objectives, https://www.healthypeople.gov/2020/topics-objectives/topic/maternal-infant-and-child-health/objectives,
http://ibis.health.utah.gov/indicator/view/PreBir.LHD.html, http://epi.health.utah.gov/indicator/complete_profile/DiabGestDiab.html, http://ibis.health.utah.
gov/indicator/complete_profile/LBW.html,
https://www.healthypeople.gov/2020/topics-objectives/topic/maternal-infant-and-child-health/objectives, http://ibis.health.utah.gov/indicator/view_
numbers/AdoBrth.LHD.html, http://assessment.communitycommons.org/CHNA/report?page=2&id=211
2010 U.S. estimate only for births from mothers with gestational diabetes. The CDC reports that the true prevalence of gestational diabetes is unknown because
many states birth certificates do not differentiate between pre-pregnancy diabetes and gestational diabetes. Because the true prevalence is unknown there is no
HP2020 goal for this measurement. http://www.cdc.gov/pcd/issues/2014/13_0415.htm
2002 data for U.S. unintentional births https://www.healthypeople.gov/2020/topics-objectives/topic/family-planning/objectives
2013 data only for percentage of U.S. low weight births
Pregnancy data is 2006–2012.
The WMHD has met HP2020’s goals for low birth weights,
infants born to mothers with gestational diabetes, preterm
births, and unintentional births.✓Source: https://www.healthypeople.gov/2020/topics-objectives/topic/maternal-infant-and-child-health/objectives

Health Indicator 10 Hospitalizations
ospitalization and emergency department usage rates provide another aspect of community
morbidity and highlight health issues related to age, health behaviors, chronic disease
management, and preventable accidents.
Table 16 reviews hospitalization rates per 10,000 residents for heart attack, unintentional falls,
diabetes, asthma and motor vehicle crashes and asthma that result in emergency department
visits. The WMHD is in need of improvement in every category except unintentional falls.
H
Table 16: Hospitalization and Emergency Department Discharge Rates per 10,000 Residents
Heart Attack (2012) 21.4 19.4 (Weber) 21.7 23.9 23.3
14.5 (Morgan)
Unintentional Falls (2012) 22 20.1 21.3 25.9 22
Diabetes (2010) 8.9 10.2 6.7 10.1 8.0
Asthma (2009-2010) 5.7 5.8 4.5 7.9 3.6
Motor Vehicle Crashes:
Emergency Dept. Visits
(2004–2006) 91.5 96.2 75.1 92 81.1
Asthma Emergency
Dept. Visits (2011–2012) 22.5 25 16.3 27.1 13.1
Sources: http://ibis.health.utah.gov/indicator/complete_profile/FallInjHosp.html,
http://ibis.health.utah.gov/indicator/complete_profile/HeaAttHosp.html,
http://ibis.health.utah.gov/indicator/complete_profile/DiabRelHosp.html,
http://ibis.health.utah.gov/indicator/complete_profile/AsthHosp.html,
http://ibis.health.utah.gov/indicator/view_numbers/MVC_ED.LHD.html,
http://ibis.health.utah.gov/indicator/complete_profile/AsthED.html

Health Indicator 11 Chronic Disease Prevalence
hronic diseases are a primary cause of death, disability, and morbidity nationally and locally.
Because they are a source of long-term illness and poor health to many adults they are an
important measurement of morbidity.
For adults with diabetes, high cholesterol, heart disease, and high blood pressure Weber County is in
need of improvement when compared to nearby counties and the Utah average. In the measurement
of adults with asthma, Weber is slightly better than nearby counties and both the national and
state averages. Morgan County is excelling in all of these measurements except for adults with
high blood pressure. Most Morgan County data was suppressed out of confidentiality concerns; it is
likely that Morgan County is doing well in these measurements.
C
Table 17: Adult Chronic Disease Prevalence
Adults With: Utah County County County County County
Diabetes (2012) 9.1% 7.6% 8.4% 7.1% 7.7% 7.7% 7.3%
High Cholesterol
(2011–2012) 38.5% 34.6% 36.7% – 34.7% 35.2% 31.2%
Heart Disease
(2011–2012) 4.4% 2.8% 3.5% – 2.1% 2.69% 2.3%
High Blood Pressure 28.2% 24% 25% 31.2% 23.6% 23.8% 22.4%
(2006–2012)
Asthma 13.4% 13.2% 13% – 13.9% 13.4% 13.2%
Sources: http://assessment.communitycommons.org/CHNA/report?page=6&id=607
http://assessment.communitycommons.org/CHNA/report?page=6&id=637
Weber County has met HP2020’s goal of no more than 26.9% of all
adults with high blood pressure.
✓ Morgan County is in need
of improvement in order
to meet this same goal.XSource: http://www.healthypeople.gov/2020/topics-objectives/topic/heart-disease-
and-stroke/objectives

Health Indicator 12 Cancer Incidence
ancer incidence is an important measurement of morbidity that tells how many new cases of
cancer occurred during a given time period; this measurement is not to be confused with
cancer prevalence, which is a ratio determined by dividing the number of cancer patients with the
total population.10
Weber County is doing better in breast cancer for both national and state rates, however there is
an opportunity for advancement in the other categories. Compared to local and state averages
Morgan County is doing better in prostate cancer, however it is still significantly above the national
average. Much Morgan County data is suppressed due to confidentiality concerns. We are currently
unsure why the entire state has considerably elevated prostate cancer rates.
C
Table 18: Cancer Incidence Rates
Utah County County County County County
Breast 122.7 112 103.8 – 120.3 114.9 117.1
Prostate 142.3 170.6 163.3 153 240.9 165.1 170.6
Colorectal 43.3 34 35.8 – 36.7 33 35.5
Lung 64.9 28.2 33.1 – 20.8 30.8 19
Cervical 7.8 5.3 7 – 4.5 5.2 3.6
Sources: http://assessment.communitycommons.org/CHNA/report?page=6&id=610, http://assessment.communitycommons.org/CHNA/report?page=6&id=611,
http://assessment.communitycommons.org/CHNA/report?page=6&id=612, http://assessment.communitycommons.org/CHNA/report?page=6&id=613, http://
assessment.communitycommons.org/CHNA/report?page=6&id=614
Of all the areas served by the WMHD, Downtown Ogden has the lowest incidence rate for
prostate cancer with 127.9 per 100,000 and Riverdale has the highest with 187.8.
Weber County has met two HP2020’s goals: 39.9 or fewer colorectal
cancers per and 7.1 or fewer cervical cancers per 100,000 residents.
✓Source: http://www.healthypeople.gov/2020/topics-objectives/topic/cancer/objectives

Health Indicator 13 Adult Obesity
besity is an ever-expanding national public health issue. Obesity is defined as having a body
mass index (BMI) of 30 or higher. Obesity is a preventable condition usually caused by a
combination of a sedentary lifestyle and excessive caloric intake. Obesity is concerning because the
obese are significantly at increased risk for high blood pressure, high cholesterol, type 2 diabetes,
heart disease, stroke, and arthritis. Obesity is a paramount public health crisis because it is the
second leading cause of preventable death in the U.S.11
Adult obesity rates have grown to pandemic rates both nationally and locally. From 1997 to 2013,
Utah obesity rates skyrocketed from 15.8% to 24.9%; in just 14 years Utah obesity rates have
increased by a staggering 63%.12
Weber County is consistent with national averages and is moderately above the averages of nearby
counties and the state of Utah. The areas in Weber with the greatest concentrations of obese
adults are in Roy/Hooper and Downtown Ogden. Even with 22% of its adult population obese,
Morgan County is in the top 10% of performing counties for adult obesity.13
O
Utah County County County County County
Obese (BMI 30 or higher) 27.1% 25% 27.2% 22% 24.6% 25.1% 24.1%
2012 data
Overweight 35.8% 33.9% 31.7% No Data 36.2% 34.2% 32.4%
(BMI between 25–30)
2011–2012 data
Sources: http://assessment.communitycommons.org/CHNA/report?page=6&id=604 , http://assessment.communitycommons.org/CHNA/report?page=6&id=603
As Chart 14 shows, since 2004 Weber County has consistently been above its peers for adult
obesity rates and Morgan has constantly performed in the top 10% of counties in America.
Table 19: Overweight and Obese Adults

28%
26%
24%
22%
20%
18%
2004 2005 2006 2007 2008 2009 2010 2011 2012
Weber County
Morgan County
Davis County
Salt Lake County
Utah County
State of Utah
United States
Chart 14: Adult Obesity Rates
Source: http://assessment.communitycommons.org/CHNA/report?page=6&id=603
Weber residents shared the following about obesity and its causes:
“…Not enough time to exercise or walk because I have to work all the time…”
“We don’t pay attention to what we are eating.”
“You just can’t throw healthy food at people, some people don’t even know how to cook
vegetables. We need more education.”14
A WMHD resident shared the following on the PhotoVoice comment board:
“We are not so likely to have people note nutrition matters in what we are putting into our
diets. This large number of [fast food] outlets is promoting we may eat quickly, but at what
cost to our health overall and disease costs more than prevention of disease!”15

Health Indicator 14 Childhood Obesity
hildhood obesity is a serious immediate
and long-term public health concern. A
child is considered obese if their BMI is at or
above the 95th percentile for children of the
same age and gender.16
Generally, insufficient
activity and a high caloric diet are the primary
causes of childhood obesity.17
Childhood
obesity matters because, for example, obese
children 10–13 years old have an 80% chance
of becoming obese adults.18
In 2014, the WMHD acquired childhood obesity
data by measuring the weight and height of a
large sample size of approximately 2,700
school children enrolled in 1st, 3rd, and 5th
grades in the Ogden School District (OSD).19
2012 data was available for Weber School District
(WSD). Chart 15 reveals OSD has twice the obesity rates for both female and male students than
the state average and WSD. WSD is consistent with Utah’s average obesity. Even when the
school districts are combined,
their obese male and female
results are several percentage
points above the state average.
Using data from Utah 3rd
graders captured at 6 different
points over the span of 20
years, it is clear the percentage
of obese Utah children is
progressively increasing.
C
15%
13%
11%
9%
7%
5%
1994 2006 2008 2010 2012 2014
3rd Grade Girls 3rd Grade Boys
Chart 16: Obesity in Utah’s 3rd Graders
0% 5% 10% 15% 20% 25%
Ogden
School
District
Weber
School
District
Ogden &
Weber
Districts
State
of Utah
Average
Males
Females
Chart 15: Levels of Obesity in Local
School Districts
Source: UDOH & WMHD
Source: http://ibis.health.utah.gov/indicator/view/OvrwtChild.html

Health Indicator 15 Obesity Disparities
besity disparities distinctly shed light on where unequal
levels of obesity burden fall. Obesity rates are not uniform
among the different races. In Utah in
2013, 42.5% of Pacific Islanders were
obese, whereas 31.5% of American
Indians, 27% of Hispanic/Latino adults,
24.5% of Caucasians and only 9.1% of
Asians were obese.20
In Utah, males are generally more likely
to be obese than females. The bulk of
obesity cases rests in the 35–49 and 50–64
age groups. Lastly, there is an association
between education
and obesity where
rates significantly drop off after obtaining a college
degree or higher; other education groups have
significantly higher obesity rates.
It is important to note, that although Body
Mass Index is the current standard for
determining obesity, it does have it
shortfalls.21
These shortfalls include:
• Older adults tend to have more fat than
younger adults with the same BMI score
• Women typically have more body fat than
men with an equivalent BMI
• Physically fit individuals have a high BMI because of increased muscle mass
O
Every race in
Utah has 2.7–4.7
times more
obese adults
than there are
obese Asians.
African
American
31.5%
Native
American
32.4%
Asian
9.1%Caucasian
24.5%
Hispanic/
Latino
27.0%
Pacific
Islander
42.5%
Chart 17: Obese Adults by Race
35% 25% 15% 5% 5% 15% 25% 35%
Male
Female
18–34 years old
35–49 years old
50–64 years old
65+ years old
Chart 18: Obesity in Utah by Gender & Age
(2013)
Chart 19: Adult Obesity by Education Level (2013)
35%
30%
25%
20%
15%
10%
5%
0
Less than
High School
H.S. Grad
or G.E.D.
Some
College
College
Graduate
Source: http://ibis.health.utah.gov/indicator/
complete_profile/Obe.html
Source: http://ibis.health.utah.gov/indicator/view_numbers/Obe.AgeSex.html
Source: http://ibis.health.utah.gov/indicator/complete_profile/Obe.html

Health Indicator 16 Communicable Diseases
n 2014 the WMHD reported a total of 1,412 communicable diseases. This was a modest 2.5%
increase from 2013, however it was a 14% increase from 2009. Additional chlamydia, pertussis,
and gonorrhea cases account for the moderate increases the WMHD has seen every year since 2009.
The top four communicable diseases for 2014 were chlamydia, pertussis, hepatitis C, and
gonorrhea. 58.7% of the 2014 communicable diseases are attributable to the sexually
transmitted infections (STI) of chlamydia and gonorrhea. Since 2009 the percentage of total
communicable diseases attributed to STIs ranged anywhere from 56% to 68% in the WMHD.
All communicable diseases impact the health of the community, accrue medical expense, and
reduce productive hours, however pertussis and influenza are the most likely to result in
hospitalization or death.
Overall, the WMHD is consistent with the state averages, however there is an opportunity for
improvement in pertussis and camplylobacteriosis rates.
I
Table 20: Top 10 Communicable Diseases per 100,000 (2014)
WMHD Utah
Chlamydia trachomatis infection 278.8 279.4
Pertussis 61.7 31.9
Hepatitis C virus infection, past or present 54.6 51.0
Gonorrhea 49.0 49.0
Influenza-associated hospitalization 47.5 48.0
Campylobacteriosis 30.8 19.0
Streptococcal disease, invasive, other 10.3 9.8
Salmonellosis 9.5 12.6
Hepatitis B virus infection, chronic 9.1 10.2
Streptococcal disease, invasive, Group B 7.1 Not in the
Top 10
Sources: http://health.utah.gov/epi/data/topdiseases/2014_Top_10.pdf, IBIS

Health Indicator 17 Sexually Transmitted
Infections
exually transmitted infections are an indicator of poor health status and unsafe sex
practices. This indicator will focus on the top two sexually transmitted infections: chlamydia
and gonorrhea.
Chlamydia is moderately trending upwards, both locally and nationally, however all parts of Utah
are well below the national average. It is likely that Utah values encouraging abstinence before
marriage may be responsible for this.
Chlamydia is not only the top reported sexually transmitted infection in the two counties served
by the WMHD, but it is also the top reported disease.22
Historically, Weber County has moderately
trended upward and exceeded its peers, except for Salt Lake County and national trends, for new
chlamydia cases each year. In 2014 the WMHD dipped below the state average. Overall, Morgan
County performs well in this measurement, but periodically trends upwards.
S
460
410
360
310
260
210
160
110
60
10
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
U.S. Utah WMHD Morgan County DCHD SLCoHD UCHD
Chart 20: Annual Chlamydia Incidence Rate per 100,000 Residents
Source: http://assessment.communitycommons.org/CHNA/report?page=6&id=615, http://www.healthindicators.gov/Indicators/Chlamydia-per-100000_20/
Profile/ClassicData, http://ibis.health.utah.gov/indicator/view/ChlamCas.LHD.html

In 2014 gonorrhea was the 4th highest reported disease in the WMHD and the 2nd highest sexually
transmitted infection.23
Gonorrhea rates have remained fairly consistent nationally, but from 2007
to 2011 throughout the state of Utah rates drastically declined. This changed in 2012, when a
concerning uptick in gonorrhea cases started and has since continued in Weber County and much
of Utah. The increase in positive gonorrhea rates indicates the need for increased sex education
throughout Weber County and Utah. Again, Morgan County sets itself a role model in results.
Community Resources
Several organizations educate the community on how to prevent the spread of STIs. Many of
these organizations also provide treatment for sexually transmitted infections. They are:
• The Weber-Morgan Health Department
• Ogden Health Center (Planned Parenthood Association of Utah)
• Midtown Clinic / Weber Human Services
• Northern Utah Coalition HIV/AIDS Project
• McKay-Dee Hospital
• Ogden Regional Medical Center
75
60
45
30
15
0
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
U.S.* Utah WMHD Morgan County DCHD SLCoHD UCHD
Chart 21: Annual Gonorrhea Incidence Rate per 100,000 Residents
Source: http://www.healthindicators.gov/Indicators/Gonorrhea-rate-per-100000_10062/Profile/ClassicData, http://ibis.health.utah.gov/indicator/view/
GonCas.LHD.html, http://www.cdc.gov/std/stats13/tables/15.htm
*Please note the axis on the right of the graph ranging to 140 is only to report the U.S. Gonorrhea rate per 100,000.
140
120
100
80
20
0

accine preventable diseases are contagious diseases for which a vaccine has been thoroughly
researched and developed to help create considerable immunity among the greater population.
Vaccine preventable diseases primarily resurface due to incomplete vaccination series or no
vaccination at all by residents or immigrants.
Pertussis is particularly unsettling
because it is a highly infectious disease
that can cause illness regardless of
age; it can be life-threatening,
especially for infants.24
Utah as a whole is significantly above
the national average for pertussis cases.
Since 2009 the WMHD has followed
state trends, but is now elevated above
the state average and nearby LHDs.
Looking closely at the WMHD WIC
population, 55% of WIC clients report
they have received a Tdap vaccine (adult
pertussis vaccine) in the past 5 years.
72.2% of WIC clients report all of their children have received the DTap (child pertussis vaccine).
38.2% of Spanish speaking WIC clients — more than one out of three — self-reported they did
not know it was important for all members of their family to receive the pertussis vaccine when a
new child is born. In stark contrast, only 13.5% of English speaking WIC clients indicated they
did not know as well.25
Chickenpox is also highly contagious and can create serious health complications resulting in
hospitalization. Sometimes death occurs for infected infants, adolescents, adults, pregnant
women and those with weakened immune systems.26
The CDC reports 3.5 million cases of
V
Health Indicator 18 Vaccine Preventable
Diseases
75
60
45
30
15
0
2009 2010 2011 2012 2013 2014
U.S. Utah WMHD
DCHD SLCoHD UCHD
Chart 22: Pertussis Rate Per 100,000 Residents
Source: http://www.cdc.gov/pertussis/downloads/pertuss-surv-report-2014.pdf,
http://www.cdc.gov/pertussis/downloads/pertuss-survreport-2013.pdf,
http://www.cdc.gov/pertussis/downloads/pertuss-surv-report-2012.pdf,
2015 UDOH Data Request

chickenpox, 9,000 hospitalizations, and
100 deaths have been prevented by
chickenpox vaccination in the U.S.27
The
chickenpox vaccine became available in
1995; chickenpox incidence rates
declined 45% from 2000 to 2005 and
declined an additional 77% from 2006
to 2010 after a second dose of vaccine
was recommended.
The WMHD is doing well in this
measurement and as of 2014 is slightly
below the average for both the state
and nearby LHDs.
Hepatitis A is a highly infectious disease
that can cause liver failure and death,
although this is rare.28
It is normally
transmitted through person to person
contact, contaminated food or water.
Hepatitis A is concerning because a
majority of children and less than 20%
of adults do not exhibit symptoms.
The WMHD performs exceptionally well
in this measurement when compared
to national, state, and nearby LHD
results. Five out of the past six years
there have been no reported cases
of Hepatitis A in the WMHD.
Hepatitis B infects the liver and is
transmitted through blood, semen or
body fluid from an infected person.29
For adults, Hepatitis B is typically an
acute disease, however for 90% of
infants infected it will transition from
acute to chronic Hepatitis B. Chronic
Hepatitis B can lead to serious
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
2009 2010 2011 2012 2013 2014
U.S.* Utah WMHD
DCHD SLCoHD UCHD
Chart 24: Hepatitis A Rate per 100,000 Residents
Source: 2015 UDOH Data Request
40
30
20
10
0
2009 2010 2011 2012 2013 2014
Utah WMHD DCHD
SLCoHD UCHD
Chart 23: Chickenpox Rate per 100,000 Residents
16
14
12
10
8
6
4
2
0
Chart 25: Hepatitis B (Chronic) Rate per
100,000 Residents
2009 2010 2011 2012 2013 2014

health concerns, like liver cancer.
Hepatitis B should not be regarded
lightly — an infected person can be
symptom free for up to 30 years.30
For this measurement the WMHD is
overall consistent with nearby LHDs
and the state of Utah.
Seasonal influenza is a moderately
contagious disease that causes mild
to severe respiratory illness.31
Seasonal influenza by itself is
typically not life threating, however
it can lead to the development of pneumonia and other complications which can result in death.
At risk populations for complications caused by seasonal influenza typically include, the old,
young, and people with weakened immune systems.
The WMHD is slightly elevated above the state average and most other LHDs for influenza-
associated hospitalizations.
70
60
50
40
30
20
10
0
Chart 26: Influenza-Associated Hospitalization
Rate Per 100,000 Residents
2009 2010 2011 2012 2013 2014

Health Indicator 19 Mental Health Conditions
ental health is an essential element of
overall health. Because mental health
disorders contribute to a host of health related
problems, such as disability, pain, or death they
are an important measurement of community
morbidity.32
Of mental health disorders,
depression is a common health concern. The
WMHD has an opportunity to work with
community partners to improve the number of adults who self-report as having major depression.
As noted in Chart 27, when compared to nearby areas the WMHD has a lower or comparable
percentage of adults diagnosed by the local mental health authority — Weber Human Services
— with certain mental disorders.
M Table 21: Adults With Major Depression (2005–07)
U.S. Utah WMHD DCHD SLCoHD UCHD
4.2% 4.1% 4.7% 4.0% 4.2% 4.2%
Source: http://health.utah.gov/opha/publications/brfss/Depression/Depression.pdf
Chart 27: Percentage of the Adult Population Diagnosed With a Mental Disorder (2014)
0% 0.2% 0.4% 0.6% 0.8% 1.0% 1.2%
Attention
Deficit
Mood
Disorder
Anxiety
Personality
Disorder
Schizophrenia
& Other
Psychosis
Depression
Salt Lake County Behavior Health Services
Davis Behavioral Health Services
UCHD & Wasatch Mental Health
Weber Human Services
Source: http://dsamh.utah.gov/pdf/Annual%20Reports/2014%20Annual%20Report%20Final%20Web%201_22_15.pdf

Health Indicator 20 Oral Health Conditions
ood oral health is essential to general health and quality of life for all stages of life.34
Untreated dental caries are an indicator of insufficient access to oral healthcare providers.
The prevalence of dental caries experience is an indicator of poor oral health. The percentage
of adults with 6 or more permanent teeth missing is an overall indicator of oral health and access
to oral health services.
Weber County is ahead of national
averages, but behind to nearby
counties and the state for adults with
six or more permanent teeth missing.
The percentage of children with
untreated dental caries is in need of
improvement in the WMHD when
compared to the state. Likewise, the
number of children with dental caries
G
“If you don’t qualify for
the right kind of
Medicaid…you don’t
have any dental care.”33
–A Weber County
Resident
25%
20%
15%
Utah WMHD SLCoHD UCHD
Chart 28: Percentage of 6–9 Year Olds with
Untreated Dental Caries
2000 2005 2010
80%
60%
40%
Utah WMHD SLCoHD UCHD
Chart 29: Percentage of 6–9 Year Olds with
Dental Experience
2000 2005 2010

Weber-Morgan Health Department Community Health Assessment Introduction

Weber-Morgan Health Department Community Health Assessment Introduction

Recommended

Recommended

More Related Content

What's hot

What's hot (17)

Similar to Weber-Morgan Health Department Community Health Assessment Introduction

Similar to Weber-Morgan Health Department Community Health Assessment Introduction (20)

Weber-Morgan Health Department Community Health Assessment Introduction