Demographics details for Mountain grove, MO vs Williamsport, PA

Population Overview

Compare main population characteristics in Mountain grove, MO vs Williamsport, PA.

Data Mountain grove Williamsport
Population 4,551 27,403
Median Age 42.3 years 30.3 years
Median Income $38,103 $48,388
Married Families 35.0% 24.0%
Poverty Level 15% 16%
Unemployment Rate 4.5 4.1

Population Comparison: Mountain grove vs Williamsport

  • The population in Williamsport is higher at 27,403, compared to 4,551 in Mountain grove.
  • Residents in Mountain grove have a higher median age of 42.3 years compared to 30.3 years in Williamsport.
  • Williamsport has a higher median income of $48,388, compared to $38,103 in Mountain grove.
  • A higher percentage of married families is found in Mountain grove at 35.0% compared to 24.0% in Williamsport.
  • The poverty level is higher in Williamsport at 16%, compared to 15% in Mountain grove.
  • The unemployment rate in Mountain grove is higher at 4.5%, compared to 4.1% in Williamsport.

Demographics

Demographics Mountain grove vs Williamsport provide insight into the diversity of the communities to compare.

Demographic Mountain grove Williamsport
Black Data is updating 14
White 89 75
Asian 1 1
Hispanic 2 3
Two or More Races 8 6
American Indian Data is updating 1

Demographics Comparison: Mountain grove vs Williamsport

  • In Williamsport, the percentage of Black residents is higher at 14% compared to 0% in Mountain grove.
  • Mountain grove has a higher percentage of White residents at 89% compared to 75% in Williamsport.
  • Both Mountain grove and Williamsport have the same percentage of Asian residents at 1%.
  • Williamsport has a higher percentage of Hispanic residents at 3%, compared to 2% in Mountain grove.
  • More residents identify as two or more races in Mountain grove at 8% compared to 6% in Williamsport.
  • In Williamsport, the percentage of American Indian residents is higher at 1%, compared to 0% in Mountain grove.

Health Statistics

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

Health Metric Mountain grove Williamsport
Mental Health Not Good 22.5% 18.9%
Physical Health Not Good 18.1% 13.7%
Depression 28.4% 24.6%
Smoking 31.2% 22.7%
Binge Drinking 14.8% 16.2%
Obesity 44.6% 40.4%
Disability Percentage 24.0% 18.0%

Health Statistics Comparison: Mountain grove vs Williamsport

  • More residents in Mountain grove report poor mental health at 22.5% compared to 18.9% in Williamsport.
  • Depression is more prevalent in Mountain grove at 28.4% compared to 24.6% in Williamsport.
  • Smoking is more prevalent in Mountain grove at 31.2% compared to 22.7% in Williamsport.
  • More residents engage in binge drinking in Williamsport at 16.2% compared to 14.8% in Mountain grove.
  • Obesity rates are higher in Mountain grove at 44.6% compared to 40.4% in Williamsport.
  • Disability percentages are higher in Mountain grove at 24.0% compared to 18.0% in Williamsport.

Education Levels

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

Education Level Mountain grove Williamsport
No Schooling 0.6% (26) 0.7% (186)
High School Diploma 27.6% (1,256) 16.4% (4,487)
Less than High School 23.2% (1,057) 12.8% (3,507)
Bachelor's Degree and Higher 8.8% (400) 16.1% (4,416)

Education Levels Comparison: Mountain grove vs Williamsport

  • In Williamsport, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Mountain grove.
  • A higher percentage of residents in Mountain grove hold a high school diploma at 27.6% compared to 16.4% in Williamsport.
  • More residents in Mountain grove have less than a high school education at 23.2% compared to 12.8% in Williamsport.
  • In Williamsport, a larger share of residents have a bachelor's degree or higher at 16.1% compared to 8.8% in Mountain grove.

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.