Demographics details for Cedar hill, TX vs Mount pocono, PA

Population Overview

Compare main population characteristics in Cedar hill, TX vs Mount pocono, PA.

Data Cedar hill Mount pocono
Population 48,341 3,071
Median Age 35.3 years 38.5 years
Median Income $84,132 $81,127
Married Families 38.0% 30.0%
Poverty Level 9% 10%
Unemployment Rate 4.9 4.8

Population Comparison: Cedar hill vs Mount pocono

  • In Cedar hill, the population is higher at 48,341, compared to 3,071 in Mount pocono.
  • The median age in Mount pocono is higher at 38.5 years, compared to 35.3 years in Cedar hill.
  • Cedar hill has a higher median income of $84,132 compared to $81,127 in Mount pocono.
  • A higher percentage of married families is found in Cedar hill at 38.0% compared to 30.0% in Mount pocono.
  • The poverty level is higher in Mount pocono at 10%, compared to 9% in Cedar hill.
  • The unemployment rate in Cedar hill is higher at 4.9%, compared to 4.8% in Mount pocono.

Demographics

Demographics Cedar hill vs Mount pocono provide insight into the diversity of the communities to compare.

Demographic Cedar hill Mount pocono
Black 51 16
White 11 41
Asian 2 6
Hispanic 27 33
Two or More Races 9 4
American Indian Data is updating Data is updating

Demographics Comparison: Cedar hill vs Mount pocono

  • A higher percentage of Black residents are in Cedar hill at 51% compared to 16% in Mount pocono.
  • The percentage of White residents is higher in Mount pocono at 41% compared to 11% in Cedar hill.
  • In Mount pocono, the Asian population stands at 6%, greater than 2% in Cedar hill.
  • Mount pocono has a higher percentage of Hispanic residents at 33%, compared to 27% in Cedar hill.
  • More residents identify as two or more races in Cedar hill at 9% compared to 4% in Mount pocono.
  • The percentage of American Indian residents is the same in both Cedar hill and Mount pocono at 0%.

Health Statistics

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

Health Metric Cedar hill Mount pocono
Mental Health Not Good 16.1% 16.1%
Physical Health Not Good 10.4% 11.8%
Depression 20.5% 20.1%
Smoking 14.8% 18.1%
Binge Drinking 17.7% 16.1%
Obesity 35.9% 34.3%
Disability Percentage 11.0% 13.0%

Health Statistics Comparison: Cedar hill vs Mount pocono

  • Poor mental health levels are equal in both Cedar hill and Mount pocono at 16.1%.
  • Depression is more prevalent in Cedar hill at 20.5% compared to 20.1% in Mount pocono.
  • Mount pocono has a higher smoking rate at 18.1% compared to 14.8% in Cedar hill.
  • Binge drinking is more common in Cedar hill at 17.7% compared to 16.1% in Mount pocono.
  • Obesity rates are higher in Cedar hill at 35.9% compared to 34.3% in Mount pocono.
  • There is a higher percentage of disabled individuals in Mount pocono at 13.0% compared to 11.0% in Cedar hill.

Education Levels

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

Education Level Cedar hill Mount pocono
No Schooling 1.2% (578) 3.2% (98)
High School Diploma 13.4% (6,465) 27.4% (842)
Less than High School 10.2% (4,909) 18.1% (555)
Bachelor's Degree and Higher 18.4% (8,890) 15.9% (488)

Education Levels Comparison: Cedar hill vs Mount pocono

  • In Mount pocono, a larger percentage of residents lack formal schooling at 3.2% compared to 1.2% in Cedar hill.
  • In Mount pocono, the rate of residents with high school diplomas is higher at 27.4% compared to 13.4% in Cedar hill.
  • The percentage of residents with less than a high school education is higher in Mount pocono at 18.1%, compared to 10.2% in Cedar hill.
  • A higher percentage of residents in Cedar hill hold a bachelor's degree or higher at 18.4% compared to 15.9% in Mount pocono.

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.