Demographics details for Cleveland heights, OH vs De queen, AR

Population Overview

Compare main population characteristics in Cleveland heights, OH vs De queen, AR.

Data Cleveland heights De queen
Population 44,201 6,042
Median Age 36.7 years 33.0 years
Median Income $69,155 $55,207
Married Families 33.0% 35.0%
Poverty Level 13% 24%
Unemployment Rate 4.6 4.8

Population Comparison: Cleveland heights vs De queen

  • In Cleveland heights, the population is higher at 44,201, compared to 6,042 in De queen.
  • Residents in Cleveland heights have a higher median age of 36.7 years compared to 33.0 years in De queen.
  • Cleveland heights has a higher median income of $69,155 compared to $55,207 in De queen.
  • In De queen, the percentage of married families is higher at 35.0%, compared to 33.0% in Cleveland heights.
  • The poverty level is higher in De queen at 24%, compared to 13% in Cleveland heights.
  • De queen has a higher unemployment rate at 4.8% compared to 4.6% in Cleveland heights.

Demographics

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

Demographic Cleveland heights De queen
Black 42 6
White 46 28
Asian 5 Data is updating
Hispanic 3 60
Two or More Races 4 5
American Indian Data is updating 1

Demographics Comparison: Cleveland heights vs De queen

  • A higher percentage of Black residents are in Cleveland heights at 42% compared to 6% in De queen.
  • Cleveland heights has a higher percentage of White residents at 46% compared to 28% in De queen.
  • The Asian population is larger in Cleveland heights at 5% compared to 0% in De queen.
  • De queen has a higher percentage of Hispanic residents at 60%, compared to 3% in Cleveland heights.
  • The percentage of residents identifying as two or more races is higher in De queen at 5%, compared to 4% in Cleveland heights.
  • In De queen, 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 De queen
Mental Health Not Good 15.7% 20.2%
Physical Health Not Good 10.9% 17.2%
Depression 21.8% 24.7%
Smoking 16.0% 24.0%
Binge Drinking 16.7% 12.9%
Obesity 34.5% 44.1%
Disability Percentage 11.0% 12.0%

Health Statistics Comparison: Cleveland heights vs De queen

  • In De queen, a higher percentage report poor mental health at 20.2% compared to 15.7% in Cleveland heights.
  • Higher depression rates are seen in De queen at 24.7% versus 21.8% in Cleveland heights.
  • De queen has a higher smoking rate at 24.0% compared to 16.0% in Cleveland heights.
  • Binge drinking is more common in Cleveland heights at 16.7% compared to 12.9% in De queen.
  • De queen has higher obesity rates at 44.1% compared to 34.5% in Cleveland heights.
  • There is a higher percentage of disabled individuals in De queen 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 De queen
No Schooling 0.4% (157) 1.8% (108)
High School Diploma 9.5% (4,183) 15.0% (905)
Less than High School 3.7% (1,638) 46.5% (2,809)
Bachelor's Degree and Higher 39.6% (17,513) 7.0% (421)

Education Levels Comparison: Cleveland heights vs De queen

  • In De queen, a larger percentage of residents lack formal schooling at 1.8% compared to 0.4% in Cleveland heights.
  • In De queen, the rate of residents with high school diplomas is higher at 15.0% compared to 9.5% in Cleveland heights.
  • The percentage of residents with less than a high school education is higher in De queen at 46.5%, 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 7.0% in De queen.

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.