Demographics details for Pampa, TX vs Cleveland heights, OH

Population Overview

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

Data Pampa Cleveland heights
Population 16,612 44,201
Median Age 35.5 years 36.7 years
Median Income $52,966 $69,155
Married Families 42.0% 33.0%
Poverty Level 14% 13%
Unemployment Rate 3.4 4.6

Population Comparison: Pampa vs Cleveland heights

  • The population in Cleveland heights is higher at 44,201, compared to 16,612 in Pampa.
  • The median age in Cleveland heights is higher at 36.7 years, compared to 35.5 years in Pampa.
  • Cleveland heights has a higher median income of $69,155, compared to $52,966 in Pampa.
  • A higher percentage of married families is found in Pampa at 42.0% compared to 33.0% in Cleveland heights.
  • Pampa has a higher poverty level at 14% compared to 13% in Cleveland heights.
  • Cleveland heights has a higher unemployment rate at 4.6% compared to 3.4% in Pampa.

Demographics

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

Demographic Pampa Cleveland heights
Black 3 42
White 53 46
Asian 2 5
Hispanic 34 3
Two or More Races 7 4
American Indian 1 Data is updating

Demographics Comparison: Pampa vs Cleveland heights

  • In Cleveland heights, the percentage of Black residents is higher at 42% compared to 3% in Pampa.
  • Pampa has a higher percentage of White residents at 53% compared to 46% in Cleveland heights.
  • In Cleveland heights, the Asian population stands at 5%, greater than 2% in Pampa.
  • The Hispanic community is larger in Pampa at 34% compared to 3% in Cleveland heights.
  • More residents identify as two or more races in Pampa at 7% compared to 4% in Cleveland heights.
  • A greater percentage of American Indian residents live in Pampa at 1% compared to 0% in Cleveland heights.

Health Statistics

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

Health Metric Pampa Cleveland heights
Mental Health Not Good 19.5% 15.7%
Physical Health Not Good 14.0% 10.9%
Depression 25.4% 21.8%
Smoking 21.1% 16.0%
Binge Drinking 17.9% 16.7%
Obesity 39.7% 34.5%
Disability Percentage 12.0% 11.0%

Health Statistics Comparison: Pampa vs Cleveland heights

  • More residents in Pampa report poor mental health at 19.5% compared to 15.7% in Cleveland heights.
  • Depression is more prevalent in Pampa at 25.4% compared to 21.8% in Cleveland heights.
  • Smoking is more prevalent in Pampa at 21.1% compared to 16.0% in Cleveland heights.
  • Binge drinking is more common in Pampa at 17.9% compared to 16.7% in Cleveland heights.
  • Obesity rates are higher in Pampa at 39.7% compared to 34.5% in Cleveland heights.
  • Disability percentages are higher in Pampa 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 Pampa Cleveland heights
No Schooling 1.4% (238) 0.4% (157)
High School Diploma 14.7% (2,443) 9.5% (4,183)
Less than High School 24.0% (3,994) 3.7% (1,638)
Bachelor's Degree and Higher 10.6% (1,757) 39.6% (17,513)

Education Levels Comparison: Pampa vs Cleveland heights

  • A higher percentage of residents in Pampa have no formal schooling at 1.4% compared to 0.4% in Cleveland heights.
  • A higher percentage of residents in Pampa hold a high school diploma at 14.7% compared to 9.5% in Cleveland heights.
  • More residents in Pampa have less than a high school education at 24.0% compared to 3.7% in Cleveland heights.
  • In Cleveland heights, a larger share of residents have a bachelor's degree or higher at 39.6% compared to 10.6% in Pampa.

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.