Demographics details for Mount pocono, PA vs Mansfield, OH

Population Overview

Compare main population characteristics in Mount pocono, PA vs Mansfield, OH.

Data Mount pocono Mansfield
Population 3,071 47,865
Median Age 38.5 years 38.9 years
Median Income $81,127 $40,996
Married Families 30.0% 25.0%
Poverty Level 10% 18%
Unemployment Rate 4.8 6.8

Population Comparison: Mount pocono vs Mansfield

  • The population in Mansfield is higher at 47,865, compared to 3,071 in Mount pocono.
  • The median age in Mansfield is higher at 38.9 years, compared to 38.5 years in Mount pocono.
  • Mount pocono has a higher median income of $81,127 compared to $40,996 in Mansfield.
  • A higher percentage of married families is found in Mount pocono at 30.0% compared to 25.0% in Mansfield.
  • The poverty level is higher in Mansfield at 18%, compared to 10% in Mount pocono.
  • Mansfield has a higher unemployment rate at 6.8% compared to 4.8% in Mount pocono.

Demographics

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

Demographic Mount pocono Mansfield
Black 16 19
White 41 69
Asian 6 1
Hispanic 33 3
Two or More Races 4 8
American Indian Data is updating Data is updating

Demographics Comparison: Mount pocono vs Mansfield

  • In Mansfield, the percentage of Black residents is higher at 19% compared to 16% in Mount pocono.
  • The percentage of White residents is higher in Mansfield at 69% compared to 41% in Mount pocono.
  • The Asian population is larger in Mount pocono at 6% compared to 1% in Mansfield.
  • The Hispanic community is larger in Mount pocono at 33% compared to 3% in Mansfield.
  • The percentage of residents identifying as two or more races is higher in Mansfield at 8%, compared to 4% in Mount pocono.
  • The percentage of American Indian residents is the same in both Mount pocono and Mansfield at 0%.

Health Statistics

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

Health Metric Mount pocono Mansfield
Mental Health Not Good 16.1% 19.6%
Physical Health Not Good 11.8% 14.9%
Depression 20.1% 24.4%
Smoking 18.1% 27.4%
Binge Drinking 16.1% 16.7%
Obesity 34.3% 44.5%
Disability Percentage 13.0% 18.0%

Health Statistics Comparison: Mount pocono vs Mansfield

  • In Mansfield, a higher percentage report poor mental health at 19.6% compared to 16.1% in Mount pocono.
  • Higher depression rates are seen in Mansfield at 24.4% versus 20.1% in Mount pocono.
  • Mansfield has a higher smoking rate at 27.4% compared to 18.1% in Mount pocono.
  • More residents engage in binge drinking in Mansfield at 16.7% compared to 16.1% in Mount pocono.
  • Mansfield has higher obesity rates at 44.5% compared to 34.3% in Mount pocono.
  • There is a higher percentage of disabled individuals in Mansfield at 18.0% compared to 13.0% in Mount pocono.

Education Levels

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

Education Level Mount pocono Mansfield
No Schooling 3.2% (98) 1.0% (463)
High School Diploma 27.4% (842) 23.0% (11,014)
Less than High School 18.1% (555) 15.7% (7,522)
Bachelor's Degree and Higher 15.9% (488) 11.2% (5,339)

Education Levels Comparison: Mount pocono vs Mansfield

  • A higher percentage of residents in Mount pocono have no formal schooling at 3.2% compared to 1.0% in Mansfield.
  • A higher percentage of residents in Mount pocono hold a high school diploma at 27.4% compared to 23.0% in Mansfield.
  • More residents in Mount pocono have less than a high school education at 18.1% compared to 15.7% in Mansfield.
  • A higher percentage of residents in Mount pocono hold a bachelor's degree or higher at 15.9% compared to 11.2% in Mansfield.

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.