Demographics details for Cleveland heights, OH vs Berkeley, CA

Population Overview

Compare main population characteristics in Cleveland heights, OH vs Berkeley, CA.

Data Cleveland heights Berkeley
Population 44,201 118,950
Median Age 36.7 years 32.5 years
Median Income $69,155 $104,716
Married Families 33.0% 31.0%
Poverty Level 13% 14%
Unemployment Rate 4.6 4.5

Population Comparison: Cleveland heights vs Berkeley

  • The population in Berkeley is higher at 118,950, compared to 44,201 in Cleveland heights.
  • Residents in Cleveland heights have a higher median age of 36.7 years compared to 32.5 years in Berkeley.
  • Berkeley has a higher median income of $104,716, compared to $69,155 in Cleveland heights.
  • A higher percentage of married families is found in Cleveland heights at 33.0% compared to 31.0% in Berkeley.
  • The poverty level is higher in Berkeley at 14%, compared to 13% in Cleveland heights.
  • The unemployment rate in Cleveland heights is higher at 4.6%, compared to 4.5% in Berkeley.

Demographics

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

Demographic Cleveland heights Berkeley
Black 42 8
White 46 48
Asian 5 21
Hispanic 3 12
Two or More Races 4 10
American Indian Data is updating 1

Demographics Comparison: Cleveland heights vs Berkeley

  • A higher percentage of Black residents are in Cleveland heights at 42% compared to 8% in Berkeley.
  • The percentage of White residents is higher in Berkeley at 48% compared to 46% in Cleveland heights.
  • In Berkeley, the Asian population stands at 21%, greater than 5% in Cleveland heights.
  • Berkeley has a higher percentage of Hispanic residents at 12%, compared to 3% in Cleveland heights.
  • The percentage of residents identifying as two or more races is higher in Berkeley at 10%, compared to 4% in Cleveland heights.
  • In Berkeley, 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 Berkeley
Mental Health Not Good 15.7% 15.0%
Physical Health Not Good 10.9% 8.6%
Depression 21.8% 18.8%
Smoking 16.0% 9.0%
Binge Drinking 16.7% 16.1%
Obesity 34.5% 26.8%
Disability Percentage 11.0% 10.0%

Health Statistics Comparison: Cleveland heights vs Berkeley

  • More residents in Cleveland heights report poor mental health at 15.7% compared to 15.0% in Berkeley.
  • Depression is more prevalent in Cleveland heights at 21.8% compared to 18.8% in Berkeley.
  • Smoking is more prevalent in Cleveland heights at 16.0% compared to 9.0% in Berkeley.
  • Binge drinking is more common in Cleveland heights at 16.7% compared to 16.1% in Berkeley.
  • Obesity rates are higher in Cleveland heights at 34.5% compared to 26.8% in Berkeley.
  • Disability percentages are higher in Cleveland heights at 11.0% compared to 10.0% in Berkeley.

Education Levels

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

Education Level Cleveland heights Berkeley
No Schooling 0.4% (157) 0.7% (780)
High School Diploma 9.5% (4,183) 3.9% (4,580)
Less than High School 3.7% (1,638) 4.0% (4,800)
Bachelor's Degree and Higher 39.6% (17,513) 47.8% (56,907)

Education Levels Comparison: Cleveland heights vs Berkeley

  • In Berkeley, a larger percentage of residents lack formal schooling at 0.7% 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 3.9% in Berkeley.
  • The percentage of residents with less than a high school education is higher in Berkeley at 4.0%, compared to 3.7% in Cleveland heights.
  • In Berkeley, a larger share of residents have a bachelor's degree or higher at 47.8% compared to 39.6% in Cleveland heights.

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.