Demographics details for Mount pocono, PA vs South lebanon, OH

Population Overview

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

Data Mount pocono South lebanon
Population 3,071 6,693
Median Age 38.5 years 33.5 years
Median Income $81,127 $108,194
Married Families 30.0% 36.0%
Poverty Level 10% 5%
Unemployment Rate 4.8 3.2

Population Comparison: Mount pocono vs South lebanon

  • The population in South lebanon is higher at 6,693, compared to 3,071 in Mount pocono.
  • Residents in Mount pocono have a higher median age of 38.5 years compared to 33.5 years in South lebanon.
  • South lebanon has a higher median income of $108,194, compared to $81,127 in Mount pocono.
  • In South lebanon, the percentage of married families is higher at 36.0%, compared to 30.0% in Mount pocono.
  • Mount pocono has a higher poverty level at 10% compared to 5% in South lebanon.
  • The unemployment rate in Mount pocono is higher at 4.8%, compared to 3.2% in South lebanon.

Demographics

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

Demographic Mount pocono South lebanon
Black 16 2
White 41 90
Asian 6 1
Hispanic 33 4
Two or More Races 4 3
American Indian Data is updating Data is updating

Demographics Comparison: Mount pocono vs South lebanon

  • A higher percentage of Black residents are in Mount pocono at 16% compared to 2% in South lebanon.
  • The percentage of White residents is higher in South lebanon at 90% compared to 41% in Mount pocono.
  • The Asian population is larger in Mount pocono at 6% compared to 1% in South lebanon.
  • The Hispanic community is larger in Mount pocono at 33% compared to 4% in South lebanon.
  • More residents identify as two or more races in Mount pocono at 4% compared to 3% in South lebanon.
  • The percentage of American Indian residents is the same in both Mount pocono and South lebanon at 0%.

Health Statistics

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

Health Metric Mount pocono South lebanon
Mental Health Not Good 16.1% 14.7%
Physical Health Not Good 11.8% 8.8%
Depression 20.1% 21.6%
Smoking 18.1% 13.9%
Binge Drinking 16.1% 20.1%
Obesity 34.3% 35.2%
Disability Percentage 13.0% 17.0%

Health Statistics Comparison: Mount pocono vs South lebanon

  • More residents in Mount pocono report poor mental health at 16.1% compared to 14.7% in South lebanon.
  • Higher depression rates are seen in South lebanon at 21.6% versus 20.1% in Mount pocono.
  • Smoking is more prevalent in Mount pocono at 18.1% compared to 13.9% in South lebanon.
  • More residents engage in binge drinking in South lebanon at 20.1% compared to 16.1% in Mount pocono.
  • South lebanon has higher obesity rates at 35.2% compared to 34.3% in Mount pocono.
  • There is a higher percentage of disabled individuals in South lebanon at 17.0% 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 South lebanon
No Schooling 3.2% (98) 0.1% (6)
High School Diploma 27.4% (842) 18.1% (1,211)
Less than High School 18.1% (555) 8.7% (585)
Bachelor's Degree and Higher 15.9% (488) 25.3% (1,690)

Education Levels Comparison: Mount pocono vs South lebanon

  • A higher percentage of residents in Mount pocono have no formal schooling at 3.2% compared to 0.1% in South lebanon.
  • A higher percentage of residents in Mount pocono hold a high school diploma at 27.4% compared to 18.1% in South lebanon.
  • More residents in Mount pocono have less than a high school education at 18.1% compared to 8.7% in South lebanon.
  • In South lebanon, a larger share of residents have a bachelor's degree or higher at 25.3% 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.