Demographics details for Cleveland heights, OH vs Manhattan, KS

Population Overview

Compare main population characteristics in Cleveland heights, OH vs Manhattan, KS.

Data Cleveland heights Manhattan
Population 44,201 53,829
Median Age 36.7 years 24.7 years
Median Income $69,155 $55,316
Married Families 33.0% 29.0%
Poverty Level 13% 15%
Unemployment Rate 4.6 3.8

Population Comparison: Cleveland heights vs Manhattan

  • The population in Manhattan is higher at 53,829, compared to 44,201 in Cleveland heights.
  • Residents in Cleveland heights have a higher median age of 36.7 years compared to 24.7 years in Manhattan.
  • Cleveland heights has a higher median income of $69,155 compared to $55,316 in Manhattan.
  • A higher percentage of married families is found in Cleveland heights at 33.0% compared to 29.0% in Manhattan.
  • The poverty level is higher in Manhattan at 15%, compared to 13% in Cleveland heights.
  • The unemployment rate in Cleveland heights is higher at 4.6%, compared to 3.8% in Manhattan.

Demographics

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

Demographic Cleveland heights Manhattan
Black 42 5
White 46 74
Asian 5 5
Hispanic 3 8
Two or More Races 4 7
American Indian Data is updating 1

Demographics Comparison: Cleveland heights vs Manhattan

  • A higher percentage of Black residents are in Cleveland heights at 42% compared to 5% in Manhattan.
  • The percentage of White residents is higher in Manhattan at 74% compared to 46% in Cleveland heights.
  • Both Cleveland heights and Manhattan have the same percentage of Asian residents at 5%.
  • Manhattan has a higher percentage of Hispanic residents at 8%, compared to 3% in Cleveland heights.
  • The percentage of residents identifying as two or more races is higher in Manhattan at 7%, compared to 4% in Cleveland heights.
  • In Manhattan, the percentage of American Indian residents is higher at 1%, compared to 0% in Cleveland heights.

Health Statistics

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

Health Metric Cleveland heights Manhattan
Mental Health Not Good 15.7% 15.7%
Physical Health Not Good 10.9% 10.1%
Depression 21.8% 20.2%
Smoking 16.0% 16.0%
Binge Drinking 16.7% 20.6%
Obesity 34.5% 32.2%
Disability Percentage 11.0% 12.0%

Health Statistics Comparison: Cleveland heights vs Manhattan

  • Poor mental health levels are equal in both Cleveland heights and Manhattan at 15.7%.
  • Depression is more prevalent in Cleveland heights at 21.8% compared to 20.2% in Manhattan.
  • Smoking rates are the same in both Cleveland heights and Manhattan at 16.0%.
  • More residents engage in binge drinking in Manhattan at 20.6% compared to 16.7% in Cleveland heights.
  • Obesity rates are higher in Cleveland heights at 34.5% compared to 32.2% in Manhattan.
  • There is a higher percentage of disabled individuals in Manhattan at 12.0% 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 Manhattan
No Schooling 0.4% (157) 0.5% (256)
High School Diploma 9.5% (4,183) 5.8% (3,138)
Less than High School 3.7% (1,638) 4.2% (2,256)
Bachelor's Degree and Higher 39.6% (17,513) 26.0% (14,017)

Education Levels Comparison: Cleveland heights vs Manhattan

  • In Manhattan, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Cleveland heights.
  • A higher percentage of residents in Cleveland heights hold a high school diploma at 9.5% compared to 5.8% in Manhattan.
  • The percentage of residents with less than a high school education is higher in Manhattan at 4.2%, 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 26.0% in Manhattan.

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.