Demographics details for Cleveland heights, OH vs Giddings, TX

Population Overview

Compare main population characteristics in Cleveland heights, OH vs Giddings, TX.

Data Cleveland heights Giddings
Population 44,201 5,129
Median Age 36.7 years 40.2 years
Median Income $69,155 $63,529
Married Families 33.0% 34.0%
Poverty Level 13% 10%
Unemployment Rate 4.6 5.1

Population Comparison: Cleveland heights vs Giddings

  • In Cleveland heights, the population is higher at 44,201, compared to 5,129 in Giddings.
  • The median age in Giddings is higher at 40.2 years, compared to 36.7 years in Cleveland heights.
  • Cleveland heights has a higher median income of $69,155 compared to $63,529 in Giddings.
  • In Giddings, the percentage of married families is higher at 34.0%, compared to 33.0% in Cleveland heights.
  • Cleveland heights has a higher poverty level at 13% compared to 10% in Giddings.
  • Giddings has a higher unemployment rate at 5.1% compared to 4.6% in Cleveland heights.

Demographics

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

Demographic Cleveland heights Giddings
Black 42 11
White 46 24
Asian 5 1
Hispanic 3 48
Two or More Races 4 12
American Indian Data is updating 4

Demographics Comparison: Cleveland heights vs Giddings

  • A higher percentage of Black residents are in Cleveland heights at 42% compared to 11% in Giddings.
  • Cleveland heights has a higher percentage of White residents at 46% compared to 24% in Giddings.
  • The Asian population is larger in Cleveland heights at 5% compared to 1% in Giddings.
  • Giddings has a higher percentage of Hispanic residents at 48%, compared to 3% in Cleveland heights.
  • The percentage of residents identifying as two or more races is higher in Giddings at 12%, compared to 4% in Cleveland heights.
  • In Giddings, the percentage of American Indian residents is higher at 4%, compared to 0% in Cleveland heights.

Health Statistics

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

Health Metric Cleveland heights Giddings
Mental Health Not Good 15.7% 18.6%
Physical Health Not Good 10.9% 14.0%
Depression 21.8% 23.2%
Smoking 16.0% 19.6%
Binge Drinking 16.7% 16.8%
Obesity 34.5% 40.0%
Disability Percentage 11.0% 10.0%

Health Statistics Comparison: Cleveland heights vs Giddings

  • In Giddings, a higher percentage report poor mental health at 18.6% compared to 15.7% in Cleveland heights.
  • Higher depression rates are seen in Giddings at 23.2% versus 21.8% in Cleveland heights.
  • Giddings has a higher smoking rate at 19.6% compared to 16.0% in Cleveland heights.
  • More residents engage in binge drinking in Giddings at 16.8% compared to 16.7% in Cleveland heights.
  • Giddings has higher obesity rates at 40.0% compared to 34.5% in Cleveland heights.
  • Disability percentages are higher in Cleveland heights at 11.0% compared to 10.0% in Giddings.

Education Levels

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

Education Level Cleveland heights Giddings
No Schooling 0.4% (157) 1.0% (53)
High School Diploma 9.5% (4,183) 26.1% (1,341)
Less than High School 3.7% (1,638) 22.3% (1,143)
Bachelor's Degree and Higher 39.6% (17,513) 8.8% (453)

Education Levels Comparison: Cleveland heights vs Giddings

  • In Giddings, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Cleveland heights.
  • In Giddings, the rate of residents with high school diplomas is higher at 26.1% compared to 9.5% in Cleveland heights.
  • The percentage of residents with less than a high school education is higher in Giddings at 22.3%, 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 8.8% in Giddings.

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.