Demographics details for Mountain home, ID vs Gainesville, TX

Population Overview

Compare main population characteristics in Mountain home, ID vs Gainesville, TX.

Data Mountain home Gainesville
Population 16,469 17,912
Median Age 31.3 years 34.8 years
Median Income $53,108 $49,170
Married Families 36.0% 36.0%
Poverty Level 12% 15%
Unemployment Rate 3.1 4.2

Population Comparison: Mountain home vs Gainesville

  • The population in Gainesville is higher at 17,912, compared to 16,469 in Mountain home.
  • The median age in Gainesville is higher at 34.8 years, compared to 31.3 years in Mountain home.
  • Mountain home has a higher median income of $53,108 compared to $49,170 in Gainesville.
  • The percentage of married families is the same in both Mountain home and Gainesville at 36.0%.
  • The poverty level is higher in Gainesville at 15%, compared to 12% in Mountain home.
  • Gainesville has a higher unemployment rate at 4.2% compared to 3.1% in Mountain home.

Demographics

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

Demographic Mountain home Gainesville
Black 2 7
White 69 47
Asian 4 2
Hispanic 14 31
Two or More Races 9 12
American Indian 2 1

Demographics Comparison: Mountain home vs Gainesville

  • In Gainesville, the percentage of Black residents is higher at 7% compared to 2% in Mountain home.
  • Mountain home has a higher percentage of White residents at 69% compared to 47% in Gainesville.
  • The Asian population is larger in Mountain home at 4% compared to 2% in Gainesville.
  • Gainesville has a higher percentage of Hispanic residents at 31%, compared to 14% in Mountain home.
  • The percentage of residents identifying as two or more races is higher in Gainesville at 12%, compared to 9% in Mountain home.
  • A greater percentage of American Indian residents live in Mountain home at 2% compared to 1% in Gainesville.

Health Statistics

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

Health Metric Mountain home Gainesville
Mental Health Not Good 16.9% 19.6%
Physical Health Not Good 12.6% 14.2%
Depression 22.4% 25.2%
Smoking 18.3% 21.4%
Binge Drinking 15.8% 17.5%
Obesity 36.1% 38.5%
Disability Percentage 18.0% 14.0%

Health Statistics Comparison: Mountain home vs Gainesville

  • In Gainesville, a higher percentage report poor mental health at 19.6% compared to 16.9% in Mountain home.
  • Higher depression rates are seen in Gainesville at 25.2% versus 22.4% in Mountain home.
  • Gainesville has a higher smoking rate at 21.4% compared to 18.3% in Mountain home.
  • More residents engage in binge drinking in Gainesville at 17.5% compared to 15.8% in Mountain home.
  • Gainesville has higher obesity rates at 38.5% compared to 36.1% in Mountain home.
  • Disability percentages are higher in Mountain home at 18.0% compared to 14.0% in Gainesville.

Education Levels

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

Education Level Mountain home Gainesville
No Schooling 1.7% (273) 1.6% (286)
High School Diploma 16.3% (2,690) 15.0% (2,686)
Less than High School 12.8% (2,116) 20.8% (3,722)
Bachelor's Degree and Higher 10.4% (1,720) 11.2% (1,998)

Education Levels Comparison: Mountain home vs Gainesville

  • A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 1.6% in Gainesville.
  • A higher percentage of residents in Mountain home hold a high school diploma at 16.3% compared to 15.0% in Gainesville.
  • The percentage of residents with less than a high school education is higher in Gainesville at 20.8%, compared to 12.8% in Mountain home.
  • In Gainesville, a larger share of residents have a bachelor's degree or higher at 11.2% 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.