Demographics details for Cleveland heights, OH vs Waverly, TN

Population Overview

Compare main population characteristics in Cleveland heights, OH vs Waverly, TN.

Data Cleveland heights Waverly
Population 44,201 4,297
Median Age 36.7 years 46.7 years
Median Income $69,155 $43,750
Married Families 33.0% 35.0%
Poverty Level 13% 12%
Unemployment Rate 4.6 4.5

Population Comparison: Cleveland heights vs Waverly

  • In Cleveland heights, the population is higher at 44,201, compared to 4,297 in Waverly.
  • The median age in Waverly is higher at 46.7 years, compared to 36.7 years in Cleveland heights.
  • Cleveland heights has a higher median income of $69,155 compared to $43,750 in Waverly.
  • In Waverly, the percentage of married families is higher at 35.0%, compared to 33.0% in Cleveland heights.
  • Cleveland heights has a higher poverty level at 13% compared to 12% in Waverly.
  • The unemployment rate in Cleveland heights is higher at 4.6%, compared to 4.5% in Waverly.

Demographics

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

Demographic Cleveland heights Waverly
Black 42 2
White 46 91
Asian 5 Data is updating
Hispanic 3 2
Two or More Races 4 5
American Indian Data is updating Data is updating

Demographics Comparison: Cleveland heights vs Waverly

  • A higher percentage of Black residents are in Cleveland heights at 42% compared to 2% in Waverly.
  • The percentage of White residents is higher in Waverly at 91% compared to 46% in Cleveland heights.
  • The Asian population is larger in Cleveland heights at 5% compared to 0% in Waverly.
  • The Hispanic community is larger in Cleveland heights at 3% compared to 2% in Waverly.
  • The percentage of residents identifying as two or more races is higher in Waverly at 5%, compared to 4% in Cleveland heights.
  • The percentage of American Indian residents is the same in both Cleveland heights and Waverly at 0%.

Health Statistics

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

Health Metric Cleveland heights Waverly
Mental Health Not Good 15.7% 19.9%
Physical Health Not Good 10.9% 13.9%
Depression 21.8% 28.8%
Smoking 16.0% 23.6%
Binge Drinking 16.7% 15.6%
Obesity 34.5% 37.8%
Disability Percentage 11.0% 19.0%

Health Statistics Comparison: Cleveland heights vs Waverly

  • In Waverly, a higher percentage report poor mental health at 19.9% compared to 15.7% in Cleveland heights.
  • Higher depression rates are seen in Waverly at 28.8% versus 21.8% in Cleveland heights.
  • Waverly has a higher smoking rate at 23.6% compared to 16.0% in Cleveland heights.
  • Binge drinking is more common in Cleveland heights at 16.7% compared to 15.6% in Waverly.
  • Waverly has higher obesity rates at 37.8% compared to 34.5% in Cleveland heights.
  • There is a higher percentage of disabled individuals in Waverly at 19.0% 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 Waverly
No Schooling 0.4% (157) 1.0% (41)
High School Diploma 9.5% (4,183) 18.4% (792)
Less than High School 3.7% (1,638) 21.9% (943)
Bachelor's Degree and Higher 39.6% (17,513) 16.5% (709)

Education Levels Comparison: Cleveland heights vs Waverly

  • In Waverly, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Cleveland heights.
  • In Waverly, the rate of residents with high school diplomas is higher at 18.4% compared to 9.5% in Cleveland heights.
  • The percentage of residents with less than a high school education is higher in Waverly at 21.9%, 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 16.5% in Waverly.

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.