Demographics details for Mountain home, ID vs Cambridge, OH

Population Overview

Compare main population characteristics in Mountain home, ID vs Cambridge, OH.

Data Mountain home Cambridge
Population 16,469 9,985
Median Age 31.3 years 35.1 years
Median Income $53,108 $39,589
Married Families 36.0% 28.0%
Poverty Level 12% 16%
Unemployment Rate 3.1 4.5

Population Comparison: Mountain home vs Cambridge

  • In Mountain home, the population is higher at 16,469, compared to 9,985 in Cambridge.
  • The median age in Cambridge is higher at 35.1 years, compared to 31.3 years in Mountain home.
  • Mountain home has a higher median income of $53,108 compared to $39,589 in Cambridge.
  • A higher percentage of married families is found in Mountain home at 36.0% compared to 28.0% in Cambridge.
  • The poverty level is higher in Cambridge at 16%, compared to 12% in Mountain home.
  • Cambridge has a higher unemployment rate at 4.5% compared to 3.1% in Mountain home.

Demographics

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

Demographic Mountain home Cambridge
Black 2 6
White 69 88
Asian 4 Data is updating
Hispanic 14 2
Two or More Races 9 4
American Indian 2 Data is updating

Demographics Comparison: Mountain home vs Cambridge

  • In Cambridge, the percentage of Black residents is higher at 6% compared to 2% in Mountain home.
  • The percentage of White residents is higher in Cambridge at 88% compared to 69% in Mountain home.
  • The Asian population is larger in Mountain home at 4% compared to 0% in Cambridge.
  • The Hispanic community is larger in Mountain home at 14% compared to 2% in Cambridge.
  • More residents identify as two or more races in Mountain home at 9% compared to 4% in Cambridge.
  • A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Cambridge.

Health Statistics

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

Health Metric Mountain home Cambridge
Mental Health Not Good 16.9% 20.4%
Physical Health Not Good 12.6% 15.1%
Depression 22.4% 25.9%
Smoking 18.3% 26.2%
Binge Drinking 15.8% 16.9%
Obesity 36.1% 46.4%
Disability Percentage 18.0% 19.0%

Health Statistics Comparison: Mountain home vs Cambridge

  • In Cambridge, a higher percentage report poor mental health at 20.4% compared to 16.9% in Mountain home.
  • Higher depression rates are seen in Cambridge at 25.9% versus 22.4% in Mountain home.
  • Cambridge has a higher smoking rate at 26.2% compared to 18.3% in Mountain home.
  • More residents engage in binge drinking in Cambridge at 16.9% compared to 15.8% in Mountain home.
  • Cambridge has higher obesity rates at 46.4% compared to 36.1% in Mountain home.
  • There is a higher percentage of disabled individuals in Cambridge at 19.0% compared to 18.0% in Mountain home.

Education Levels

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

Education Level Mountain home Cambridge
No Schooling 1.7% (273) 0.7% (73)
High School Diploma 16.3% (2,690) 25.1% (2,502)
Less than High School 12.8% (2,116) 17.3% (1,732)
Bachelor's Degree and Higher 10.4% (1,720) 8.8% (875)

Education Levels Comparison: Mountain home vs Cambridge

  • A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 0.7% in Cambridge.
  • In Cambridge, the rate of residents with high school diplomas is higher at 25.1% compared to 16.3% in Mountain home.
  • The percentage of residents with less than a high school education is higher in Cambridge at 17.3%, compared to 12.8% in Mountain home.
  • A higher percentage of residents in Mountain home hold a bachelor's degree or higher at 10.4% compared to 8.8% in Cambridge.

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.