Demographics details for Cleveland heights, OH vs Somers, MT

Population Overview

Compare main population characteristics in Cleveland heights, OH vs Somers, MT.

Data Cleveland heights Somers
Population 44,201 1,037
Median Age 36.7 years 64.2 years
Median Income $69,155 $54,466
Married Families 33.0% 67.0%
Poverty Level 13% 9%
Unemployment Rate 4.6 3.5

Population Comparison: Cleveland heights vs Somers

  • In Cleveland heights, the population is higher at 44,201, compared to 1,037 in Somers.
  • The median age in Somers is higher at 64.2 years, compared to 36.7 years in Cleveland heights.
  • Cleveland heights has a higher median income of $69,155 compared to $54,466 in Somers.
  • In Somers, the percentage of married families is higher at 67.0%, compared to 33.0% in Cleveland heights.
  • Cleveland heights has a higher poverty level at 13% compared to 9% in Somers.
  • The unemployment rate in Cleveland heights is higher at 4.6%, compared to 3.5% in Somers.

Demographics

Demographics Cleveland heights vs Somers provide insight into the diversity of the communities to compare.

Demographic Cleveland heights Somers
Black 42 Data is updating
White 46 100
Asian 5 Data is updating
Hispanic 3 Data is updating
Two or More Races 4 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Cleveland heights vs Somers

  • A higher percentage of Black residents are in Cleveland heights at 42% compared to 0% in Somers.
  • The percentage of White residents is higher in Somers at 100% compared to 46% in Cleveland heights.
  • The Asian population is larger in Cleveland heights at 5% compared to 0% in Somers.
  • The Hispanic community is larger in Cleveland heights at 3% compared to 0% in Somers.
  • More residents identify as two or more races in Cleveland heights at 4% compared to 0% in Somers.
  • The percentage of American Indian residents is the same in both Cleveland heights and Somers at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Cleveland heights Somers
Mental Health Not Good 15.7% 15.2%
Physical Health Not Good 10.9% 10.2%
Depression 21.8% 22.0%
Smoking 16.0% 15.0%
Binge Drinking 16.7% 21.1%
Obesity 34.5% 31.4%
Disability Percentage 11.0% 61.0%

Health Statistics Comparison: Cleveland heights vs Somers

  • More residents in Cleveland heights report poor mental health at 15.7% compared to 15.2% in Somers.
  • Higher depression rates are seen in Somers at 22.0% versus 21.8% in Cleveland heights.
  • Smoking is more prevalent in Cleveland heights at 16.0% compared to 15.0% in Somers.
  • More residents engage in binge drinking in Somers at 21.1% compared to 16.7% in Cleveland heights.
  • Obesity rates are higher in Cleveland heights at 34.5% compared to 31.4% in Somers.
  • There is a higher percentage of disabled individuals in Somers at 61.0% compared to 11.0% in Cleveland heights.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Cleveland heights Somers
No Schooling 0.4% (157) 0.0% (Data is updating)
High School Diploma 9.5% (4,183) 30.6% (317)
Less than High School 3.7% (1,638) 46.3% (480)
Bachelor's Degree and Higher 39.6% (17,513) 23.4% (243)

Education Levels Comparison: Cleveland heights vs Somers

  • A higher percentage of residents in Cleveland heights have no formal schooling at 0.4% compared to 0.0% in Somers.
  • In Somers, the rate of residents with high school diplomas is higher at 30.6% compared to 9.5% in Cleveland heights.
  • The percentage of residents with less than a high school education is higher in Somers at 46.3%, compared to 3.7% in Cleveland heights.
  • A higher percentage of residents in Cleveland heights hold a bachelor's degree or higher at 39.6% compared to 23.4% in Somers.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.