Demographics details for New albany, OH vs Mountain home, AR

Population Overview

Compare main population characteristics in New albany, OH vs Mountain home, AR.

Data New albany Mountain home
Population 11,043 13,150
Median Age 40.9 years 41.8 years
Median Income $224,824 $42,281
Married Families 51.0% 38.0%
Poverty Level 1% 14%
Unemployment Rate 3.2 3.5

Population Comparison: New albany vs Mountain home

  • The population in Mountain home is higher at 13,150, compared to 11,043 in New albany.
  • The median age in Mountain home is higher at 41.8 years, compared to 40.9 years in New albany.
  • New albany has a higher median income of $224,824 compared to $42,281 in Mountain home.
  • A higher percentage of married families is found in New albany at 51.0% compared to 38.0% in Mountain home.
  • The poverty level is higher in Mountain home at 14%, compared to 1% in New albany.
  • Mountain home has a higher unemployment rate at 3.5% compared to 3.2% in New albany.

Demographics

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

Demographic New albany Mountain home
Black 2 Data is updating
White 72 90
Asian 8 1
Hispanic 7 4
Two or More Races 11 4
American Indian Data is updating 1

Demographics Comparison: New albany vs Mountain home

  • A higher percentage of Black residents are in New albany at 2% compared to 0% in Mountain home.
  • The percentage of White residents is higher in Mountain home at 90% compared to 72% in New albany.
  • The Asian population is larger in New albany at 8% compared to 1% in Mountain home.
  • The Hispanic community is larger in New albany at 7% compared to 4% in Mountain home.
  • More residents identify as two or more races in New albany at 11% compared to 4% in Mountain home.
  • In Mountain home, the percentage of American Indian residents is higher at 1%, compared to 0% in New albany.

Health Statistics

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

Health Metric New albany Mountain home
Mental Health Not Good 13.6% 19.2%
Physical Health Not Good 7.3% 12.9%
Depression 22.1% 28.5%
Smoking 10.1% 21.1%
Binge Drinking 20.8% 16.3%
Obesity 28.6% 34.3%
Disability Percentage 4.0% 22.0%

Health Statistics Comparison: New albany vs Mountain home

  • In Mountain home, a higher percentage report poor mental health at 19.2% compared to 13.6% in New albany.
  • Higher depression rates are seen in Mountain home at 28.5% versus 22.1% in New albany.
  • Mountain home has a higher smoking rate at 21.1% compared to 10.1% in New albany.
  • Binge drinking is more common in New albany at 20.8% compared to 16.3% in Mountain home.
  • Mountain home has higher obesity rates at 34.3% compared to 28.6% in New albany.
  • There is a higher percentage of disabled individuals in Mountain home at 22.0% compared to 4.0% in New albany.

Education Levels

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

Education Level New albany Mountain home
No Schooling 0.2% (17) 0.7% (87)
High School Diploma 3.4% (371) 16.9% (2,225)
Less than High School 1.0% (111) 14.2% (1,870)
Bachelor's Degree and Higher 45.6% (5,031) 15.0% (1,973)

Education Levels Comparison: New albany vs Mountain home

  • In Mountain home, a larger percentage of residents lack formal schooling at 0.7% compared to 0.2% in New albany.
  • In Mountain home, the rate of residents with high school diplomas is higher at 16.9% compared to 3.4% in New albany.
  • The percentage of residents with less than a high school education is higher in Mountain home at 14.2%, compared to 1.0% in New albany.
  • A higher percentage of residents in New albany hold a bachelor's degree or higher at 45.6% 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.