Demographics details for Mountain home, ID vs Conshohocken, PA

Population Overview

Compare main population characteristics in Mountain home, ID vs Conshohocken, PA.

Data Mountain home Conshohocken
Population 16,469 9,255
Median Age 31.3 years 32.3 years
Median Income $53,108 $114,523
Married Families 36.0% 39.0%
Poverty Level 12% 5%
Unemployment Rate 3.1 3.5

Population Comparison: Mountain home vs Conshohocken

  • In Mountain home, the population is higher at 16,469, compared to 9,255 in Conshohocken.
  • The median age in Conshohocken is higher at 32.3 years, compared to 31.3 years in Mountain home.
  • Conshohocken has a higher median income of $114,523, compared to $53,108 in Mountain home.
  • In Conshohocken, the percentage of married families is higher at 39.0%, compared to 36.0% in Mountain home.
  • Mountain home has a higher poverty level at 12% compared to 5% in Conshohocken.
  • Conshohocken has a higher unemployment rate at 3.5% compared to 3.1% in Mountain home.

Demographics

Demographics Mountain home vs Conshohocken provide insight into the diversity of the communities to compare.

Demographic Mountain home Conshohocken
Black 2 5
White 69 86
Asian 4 3
Hispanic 14 2
Two or More Races 9 4
American Indian 2 Data is updating

Demographics Comparison: Mountain home vs Conshohocken

  • In Conshohocken, the percentage of Black residents is higher at 5% compared to 2% in Mountain home.
  • The percentage of White residents is higher in Conshohocken at 86% compared to 69% in Mountain home.
  • The Asian population is larger in Mountain home at 4% compared to 3% in Conshohocken.
  • The Hispanic community is larger in Mountain home at 14% compared to 2% in Conshohocken.
  • More residents identify as two or more races in Mountain home at 9% compared to 4% in Conshohocken.
  • A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Conshohocken.

Health Statistics

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

Health Metric Mountain home Conshohocken
Mental Health Not Good 16.9% 13.8%
Physical Health Not Good 12.6% 8.4%
Depression 22.4% 20.1%
Smoking 18.3% 11.6%
Binge Drinking 15.8% 19.4%
Obesity 36.1% 30.2%
Disability Percentage 18.0% 8.0%

Health Statistics Comparison: Mountain home vs Conshohocken

  • More residents in Mountain home report poor mental health at 16.9% compared to 13.8% in Conshohocken.
  • Depression is more prevalent in Mountain home at 22.4% compared to 20.1% in Conshohocken.
  • Smoking is more prevalent in Mountain home at 18.3% compared to 11.6% in Conshohocken.
  • More residents engage in binge drinking in Conshohocken at 19.4% compared to 15.8% in Mountain home.
  • Obesity rates are higher in Mountain home at 36.1% compared to 30.2% in Conshohocken.
  • Disability percentages are higher in Mountain home at 18.0% compared to 8.0% in Conshohocken.

Education Levels

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

Education Level Mountain home Conshohocken
No Schooling 1.7% (273) 0.3% (26)
High School Diploma 16.3% (2,690) 14.0% (1,292)
Less than High School 12.8% (2,116) 4.2% (388)
Bachelor's Degree and Higher 10.4% (1,720) 50.2% (4,643)

Education Levels Comparison: Mountain home vs Conshohocken

  • A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 0.3% in Conshohocken.
  • A higher percentage of residents in Mountain home hold a high school diploma at 16.3% compared to 14.0% in Conshohocken.
  • More residents in Mountain home have less than a high school education at 12.8% compared to 4.2% in Conshohocken.
  • In Conshohocken, a larger share of residents have a bachelor's degree or higher at 50.2% compared to 10.4% in Mountain home.

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.