Demographics details for Mountain home, ID vs Woodward, IA

Population Overview

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

Data Mountain home Woodward
Population 16,469 1,365
Median Age 31.3 years 40.6 years
Median Income $53,108 $65,625
Married Families 36.0% 29.0%
Poverty Level 12% Data is updating
Unemployment Rate 3.1 3.5

Population Comparison: Mountain home vs Woodward

  • In Mountain home, the population is higher at 16,469, compared to 1,365 in Woodward.
  • The median age in Woodward is higher at 40.6 years, compared to 31.3 years in Mountain home.
  • Woodward has a higher median income of $65,625, compared to $53,108 in Mountain home.
  • A higher percentage of married families is found in Mountain home at 36.0% compared to 29.0% in Woodward.
  • Mountain home has a higher poverty level at 12% compared to 0% in Woodward.
  • Woodward has a higher unemployment rate at 3.5% compared to 3.1% in Mountain home.

Demographics

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

Demographic Mountain home Woodward
Black 2 2
White 69 93
Asian 4 1
Hispanic 14 2
Two or More Races 9 2
American Indian 2 Data is updating

Demographics Comparison: Mountain home vs Woodward

  • The percentage of Black residents is the same in both Mountain home and Woodward at 2%.
  • The percentage of White residents is higher in Woodward at 93% compared to 69% in Mountain home.
  • The Asian population is larger in Mountain home at 4% compared to 1% in Woodward.
  • The Hispanic community is larger in Mountain home at 14% compared to 2% in Woodward.
  • More residents identify as two or more races in Mountain home at 9% compared to 2% in Woodward.
  • A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Woodward.

Health Statistics

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

Health Metric Mountain home Woodward
Mental Health Not Good 16.9% 13.4%
Physical Health Not Good 12.6% 8.0%
Depression 22.4% 17.5%
Smoking 18.3% 13.0%
Binge Drinking 15.8% 24.2%
Obesity 36.1% 35.2%
Disability Percentage 18.0% 16.0%

Health Statistics Comparison: Mountain home vs Woodward

  • More residents in Mountain home report poor mental health at 16.9% compared to 13.4% in Woodward.
  • Depression is more prevalent in Mountain home at 22.4% compared to 17.5% in Woodward.
  • Smoking is more prevalent in Mountain home at 18.3% compared to 13.0% in Woodward.
  • More residents engage in binge drinking in Woodward at 24.2% compared to 15.8% in Mountain home.
  • Obesity rates are higher in Mountain home at 36.1% compared to 35.2% in Woodward.
  • Disability percentages are higher in Mountain home at 18.0% compared to 16.0% in Woodward.

Education Levels

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

Education Level Mountain home Woodward
No Schooling 1.7% (273) 0.7% (9)
High School Diploma 16.3% (2,690) 17.4% (237)
Less than High School 12.8% (2,116) 5.6% (77)
Bachelor's Degree and Higher 10.4% (1,720) 10.1% (138)

Education Levels Comparison: Mountain home vs Woodward

  • A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 0.7% in Woodward.
  • In Woodward, the rate of residents with high school diplomas is higher at 17.4% compared to 16.3% in Mountain home.
  • More residents in Mountain home have less than a high school education at 12.8% compared to 5.6% in Woodward.
  • A higher percentage of residents in Mountain home hold a bachelor's degree or higher at 10.4% compared to 10.1% in Woodward.

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.