Demographics details for Mount pocono, PA vs Rayville, LA

Population Overview

Compare main population characteristics in Mount pocono, PA vs Rayville, LA.

Data Mount pocono Rayville
Population 3,071 3,695
Median Age 38.5 years 33.0 years
Median Income $81,127 $45,000
Married Families 30.0% 45.0%
Poverty Level 10% 12%
Unemployment Rate 4.8 5.0

Population Comparison: Mount pocono vs Rayville

  • The population in Rayville is higher at 3,695, compared to 3,071 in Mount pocono.
  • Residents in Mount pocono have a higher median age of 38.5 years compared to 33.0 years in Rayville.
  • Mount pocono has a higher median income of $81,127 compared to $45,000 in Rayville.
  • In Rayville, the percentage of married families is higher at 45.0%, compared to 30.0% in Mount pocono.
  • The poverty level is higher in Rayville at 12%, compared to 10% in Mount pocono.
  • Rayville has a higher unemployment rate at 5.0% compared to 4.8% in Mount pocono.

Demographics

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

Demographic Mount pocono Rayville
Black 16 60
White 41 30
Asian 6 5
Hispanic 33 3
Two or More Races 4 2
American Indian Data is updating Data is updating

Demographics Comparison: Mount pocono vs Rayville

  • In Rayville, the percentage of Black residents is higher at 60% compared to 16% in Mount pocono.
  • Mount pocono has a higher percentage of White residents at 41% compared to 30% in Rayville.
  • The Asian population is larger in Mount pocono at 6% compared to 5% in Rayville.
  • The Hispanic community is larger in Mount pocono at 33% compared to 3% in Rayville.
  • More residents identify as two or more races in Mount pocono at 4% compared to 2% in Rayville.
  • The percentage of American Indian residents is the same in both Mount pocono and Rayville at 0%.

Health Statistics

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

Health Metric Mount pocono Rayville
Mental Health Not Good 16.1% Data is updating%
Physical Health Not Good 11.8% Data is updating%
Depression 20.1% Data is updating%
Smoking 18.1% Data is updating%
Binge Drinking 16.1% Data is updating%
Obesity 34.3% Data is updating%
Disability Percentage 13.0% Data is updating%

Health Statistics Comparison: Mount pocono vs Rayville

  • More residents in Mount pocono report poor mental health at 16.1% compared to 0.0% in Rayville.
  • Depression is more prevalent in Mount pocono at 20.1% compared to 0.0% in Rayville.
  • Smoking is more prevalent in Mount pocono at 18.1% compared to 0.0% in Rayville.
  • Binge drinking is more common in Mount pocono at 16.1% compared to 0.0% in Rayville.
  • Obesity rates are higher in Mount pocono at 34.3% compared to 0.0% in Rayville.
  • Disability percentages are higher in Mount pocono at 13.0% compared to 0.0% in Rayville.

Education Levels

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

Education Level Mount pocono Rayville
No Schooling 3.2% (98) 0.0% (Data is updating)
High School Diploma 27.4% (842) 0.0% (Data is updating)
Less than High School 18.1% (555) 0.0% (Data is updating)
Bachelor's Degree and Higher 15.9% (488) 0.0% (Data is updating)

Education Levels Comparison: Mount pocono vs Rayville

  • A higher percentage of residents in Mount pocono have no formal schooling at 3.2% compared to 0.0% in Rayville.
  • A higher percentage of residents in Mount pocono hold a high school diploma at 27.4% compared to 0.0% in Rayville.
  • More residents in Mount pocono have less than a high school education at 18.1% compared to 0.0% in Rayville.
  • A higher percentage of residents in Mount pocono hold a bachelor's degree or higher at 15.9% compared to 0.0% in Rayville.

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.