Demographics details for Indianola, IA vs Mountain home, ID

Population Overview

Compare main population characteristics in Indianola, IA vs Mountain home, ID.

Data Indianola Mountain home
Population 16,069 16,469
Median Age 34.7 years 31.3 years
Median Income $73,534 $53,108
Married Families 37.0% 36.0%
Poverty Level 7% 12%
Unemployment Rate 3.2 3.1

Population Comparison: Indianola vs Mountain home

  • The population in Mountain home is higher at 16,469, compared to 16,069 in Indianola.
  • Residents in Indianola have a higher median age of 34.7 years compared to 31.3 years in Mountain home.
  • Indianola has a higher median income of $73,534 compared to $53,108 in Mountain home.
  • A higher percentage of married families is found in Indianola at 37.0% compared to 36.0% in Mountain home.
  • The poverty level is higher in Mountain home at 12%, compared to 7% in Indianola.
  • The unemployment rate in Indianola is higher at 3.2%, compared to 3.1% in Mountain home.

Demographics

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

Demographic Indianola Mountain home
Black 1 2
White 91 69
Asian 2 4
Hispanic 2 14
Two or More Races 4 9
American Indian Data is updating 2

Demographics Comparison: Indianola vs Mountain home

  • In Mountain home, the percentage of Black residents is higher at 2% compared to 1% in Indianola.
  • Indianola has a higher percentage of White residents at 91% compared to 69% in Mountain home.
  • In Mountain home, the Asian population stands at 4%, greater than 2% in Indianola.
  • Mountain home has a higher percentage of Hispanic residents at 14%, compared to 2% in Indianola.
  • The percentage of residents identifying as two or more races is higher in Mountain home at 9%, compared to 4% in Indianola.
  • In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 0% in Indianola.

Health Statistics

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

Health Metric Indianola Mountain home
Mental Health Not Good 15.7% 16.9%
Physical Health Not Good 9.7% 12.6%
Depression 19.0% 22.4%
Smoking 16.5% 18.3%
Binge Drinking 21.4% 15.8%
Obesity 39.2% 36.1%
Disability Percentage 12.0% 18.0%

Health Statistics Comparison: Indianola vs Mountain home

  • In Mountain home, a higher percentage report poor mental health at 16.9% compared to 15.7% in Indianola.
  • Higher depression rates are seen in Mountain home at 22.4% versus 19.0% in Indianola.
  • Mountain home has a higher smoking rate at 18.3% compared to 16.5% in Indianola.
  • Binge drinking is more common in Indianola at 21.4% compared to 15.8% in Mountain home.
  • Obesity rates are higher in Indianola at 39.2% compared to 36.1% in Mountain home.
  • There is a higher percentage of disabled individuals in Mountain home at 18.0% compared to 12.0% in Indianola.

Education Levels

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

Education Level Indianola Mountain home
No Schooling 0.3% (43) 1.7% (273)
High School Diploma 14.5% (2,326) 16.3% (2,690)
Less than High School 3.5% (566) 12.8% (2,116)
Bachelor's Degree and Higher 20.0% (3,217) 10.4% (1,720)

Education Levels Comparison: Indianola vs Mountain home

  • In Mountain home, a larger percentage of residents lack formal schooling at 1.7% compared to 0.3% in Indianola.
  • In Mountain home, the rate of residents with high school diplomas is higher at 16.3% compared to 14.5% in Indianola.
  • The percentage of residents with less than a high school education is higher in Mountain home at 12.8%, compared to 3.5% in Indianola.
  • A higher percentage of residents in Indianola hold a bachelor's degree or higher at 20.0% 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.