Demographics details for Mountain home, AR vs Parsons, KS

Population Overview

Compare main population characteristics in Mountain home, AR vs Parsons, KS.

Data Mountain home Parsons
Population 13,150 9,382
Median Age 41.8 years 38.0 years
Median Income $42,281 $48,990
Married Families 38.0% 34.0%
Poverty Level 14% 12%
Unemployment Rate 3.5 3.5

Population Comparison: Mountain home vs Parsons

  • In Mountain home, the population is higher at 13,150, compared to 9,382 in Parsons.
  • Residents in Mountain home have a higher median age of 41.8 years compared to 38.0 years in Parsons.
  • Parsons has a higher median income of $48,990, compared to $42,281 in Mountain home.
  • A higher percentage of married families is found in Mountain home at 38.0% compared to 34.0% in Parsons.
  • Mountain home has a higher poverty level at 14% compared to 12% in Parsons.
  • The unemployment rate is the same in both Mountain home and Parsons at 3.5%.

Demographics

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

Demographic Mountain home Parsons
Black Data is updating 8
White 90 79
Asian 1 Data is updating
Hispanic 4 7
Two or More Races 4 6
American Indian 1 Data is updating

Demographics Comparison: Mountain home vs Parsons

  • In Parsons, the percentage of Black residents is higher at 8% compared to 0% in Mountain home.
  • Mountain home has a higher percentage of White residents at 90% compared to 79% in Parsons.
  • The Asian population is larger in Mountain home at 1% compared to 0% in Parsons.
  • Parsons has a higher percentage of Hispanic residents at 7%, compared to 4% in Mountain home.
  • The percentage of residents identifying as two or more races is higher in Parsons at 6%, compared to 4% in Mountain home.
  • A greater percentage of American Indian residents live in Mountain home at 1% compared to 0% in Parsons.

Health Statistics

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

Health Metric Mountain home Parsons
Mental Health Not Good 19.2% 18.4%
Physical Health Not Good 12.9% 12.7%
Depression 28.5% 22.3%
Smoking 21.1% 22.4%
Binge Drinking 16.3% 17.3%
Obesity 34.3% 45.2%
Disability Percentage 22.0% 23.0%

Health Statistics Comparison: Mountain home vs Parsons

  • More residents in Mountain home report poor mental health at 19.2% compared to 18.4% in Parsons.
  • Depression is more prevalent in Mountain home at 28.5% compared to 22.3% in Parsons.
  • Parsons has a higher smoking rate at 22.4% compared to 21.1% in Mountain home.
  • More residents engage in binge drinking in Parsons at 17.3% compared to 16.3% in Mountain home.
  • Parsons has higher obesity rates at 45.2% compared to 34.3% in Mountain home.
  • There is a higher percentage of disabled individuals in Parsons at 23.0% compared to 22.0% 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 Parsons
No Schooling 0.7% (87) 1.2% (113)
High School Diploma 16.9% (2,225) 15.2% (1,423)
Less than High School 14.2% (1,870) 11.6% (1,093)
Bachelor's Degree and Higher 15.0% (1,973) 17.3% (1,621)

Education Levels Comparison: Mountain home vs Parsons

  • In Parsons, a larger percentage of residents lack formal schooling at 1.2% compared to 0.7% in Mountain home.
  • A higher percentage of residents in Mountain home hold a high school diploma at 16.9% compared to 15.2% in Parsons.
  • More residents in Mountain home have less than a high school education at 14.2% compared to 11.6% in Parsons.
  • In Parsons, a larger share of residents have a bachelor's degree or higher at 17.3% compared to 15.0% 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.