Demographics details for Lindenhurst, NY vs Mountain home, AR

Population Overview

Compare main population characteristics in Lindenhurst, NY vs Mountain home, AR.

Data Lindenhurst Mountain home
Population 27,064 13,150
Median Age 40.3 years 41.8 years
Median Income $115,967 $42,281
Married Families 43.0% 38.0%
Poverty Level 4% 14%
Unemployment Rate 3.4 3.5

Population Comparison: Lindenhurst vs Mountain home

  • In Lindenhurst, the population is higher at 27,064, compared to 13,150 in Mountain home.
  • The median age in Mountain home is higher at 41.8 years, compared to 40.3 years in Lindenhurst.
  • Lindenhurst has a higher median income of $115,967 compared to $42,281 in Mountain home.
  • A higher percentage of married families is found in Lindenhurst at 43.0% compared to 38.0% in Mountain home.
  • The poverty level is higher in Mountain home at 14%, compared to 4% in Lindenhurst.
  • Mountain home has a higher unemployment rate at 3.5% compared to 3.4% in Lindenhurst.

Demographics

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

Demographic Lindenhurst Mountain home
Black 4 Data is updating
White 74 90
Asian 2 1
Hispanic 15 4
Two or More Races 5 4
American Indian Data is updating 1

Demographics Comparison: Lindenhurst vs Mountain home

  • A higher percentage of Black residents are in Lindenhurst at 4% compared to 0% in Mountain home.
  • The percentage of White residents is higher in Mountain home at 90% compared to 74% in Lindenhurst.
  • The Asian population is larger in Lindenhurst at 2% compared to 1% in Mountain home.
  • The Hispanic community is larger in Lindenhurst at 15% compared to 4% in Mountain home.
  • More residents identify as two or more races in Lindenhurst at 5% compared to 4% in Mountain home.
  • In Mountain home, the percentage of American Indian residents is higher at 1%, compared to 0% in Lindenhurst.

Health Statistics

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

Health Metric Lindenhurst Mountain home
Mental Health Not Good 15.1% 19.2%
Physical Health Not Good 9.1% 12.9%
Depression 20.9% 28.5%
Smoking 14.3% 21.1%
Binge Drinking 17.3% 16.3%
Obesity 29.3% 34.3%
Disability Percentage 9.0% 22.0%

Health Statistics Comparison: Lindenhurst vs Mountain home

  • In Mountain home, a higher percentage report poor mental health at 19.2% compared to 15.1% in Lindenhurst.
  • Higher depression rates are seen in Mountain home at 28.5% versus 20.9% in Lindenhurst.
  • Mountain home has a higher smoking rate at 21.1% compared to 14.3% in Lindenhurst.
  • Binge drinking is more common in Lindenhurst at 17.3% compared to 16.3% in Mountain home.
  • Mountain home has higher obesity rates at 34.3% compared to 29.3% in Lindenhurst.
  • There is a higher percentage of disabled individuals in Mountain home at 22.0% compared to 9.0% in Lindenhurst.

Education Levels

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

Education Level Lindenhurst Mountain home
No Schooling 1.0% (272) 0.7% (87)
High School Diploma 21.0% (5,679) 16.9% (2,225)
Less than High School 10.2% (2,762) 14.2% (1,870)
Bachelor's Degree and Higher 21.2% (5,745) 15.0% (1,973)

Education Levels Comparison: Lindenhurst vs Mountain home

  • A higher percentage of residents in Lindenhurst have no formal schooling at 1.0% compared to 0.7% in Mountain home.
  • A higher percentage of residents in Lindenhurst hold a high school diploma at 21.0% compared to 16.9% in Mountain home.
  • The percentage of residents with less than a high school education is higher in Mountain home at 14.2%, compared to 10.2% in Lindenhurst.
  • A higher percentage of residents in Lindenhurst hold a bachelor's degree or higher at 21.2% 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.