Demographics details for Paden city, WV vs Mountain view, AR

Population Overview

Compare main population characteristics in Paden city, WV vs Mountain view, AR.

Data Paden city Mountain view
Population 2,451 2,915
Median Age 41.2 years 55.5 years
Median Income $53,833 $23,458
Married Families 49.0% 25.0%
Poverty Level 16% 17%
Unemployment Rate 5.3 4.8

Population Comparison: Paden city vs Mountain view

  • The population in Mountain view is higher at 2,915, compared to 2,451 in Paden city.
  • The median age in Mountain view is higher at 55.5 years, compared to 41.2 years in Paden city.
  • Paden city has a higher median income of $53,833 compared to $23,458 in Mountain view.
  • A higher percentage of married families is found in Paden city at 49.0% compared to 25.0% in Mountain view.
  • The poverty level is higher in Mountain view at 17%, compared to 16% in Paden city.
  • The unemployment rate in Paden city is higher at 5.3%, compared to 4.8% in Mountain view.

Demographics

Demographics Paden city vs Mountain view provide insight into the diversity of the communities to compare.

Demographic Paden city Mountain view
Black Data is updating 1
White 98 89
Asian Data is updating 1
Hispanic Data is updating 8
Two or More Races 2 1
American Indian Data is updating Data is updating

Demographics Comparison: Paden city vs Mountain view

  • In Mountain view, the percentage of Black residents is higher at 1% compared to 0% in Paden city.
  • Paden city has a higher percentage of White residents at 98% compared to 89% in Mountain view.
  • In Mountain view, the Asian population stands at 1%, greater than 0% in Paden city.
  • Mountain view has a higher percentage of Hispanic residents at 8%, compared to 0% in Paden city.
  • More residents identify as two or more races in Paden city at 2% compared to 1% in Mountain view.
  • The percentage of American Indian residents is the same in both Paden city and Mountain view at 0%.

Health Statistics

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

Health Metric Paden city Mountain view
Mental Health Not Good 20.6% 22.6%
Physical Health Not Good 14.1% 16.7%
Depression 28.9% 31.9%
Smoking 22.6% 26.6%
Binge Drinking 14.5% 14.9%
Obesity 40.7% 41.1%
Disability Percentage 21.0% 36.0%

Health Statistics Comparison: Paden city vs Mountain view

  • In Mountain view, a higher percentage report poor mental health at 22.6% compared to 20.6% in Paden city.
  • Higher depression rates are seen in Mountain view at 31.9% versus 28.9% in Paden city.
  • Mountain view has a higher smoking rate at 26.6% compared to 22.6% in Paden city.
  • More residents engage in binge drinking in Mountain view at 14.9% compared to 14.5% in Paden city.
  • Mountain view has higher obesity rates at 41.1% compared to 40.7% in Paden city.
  • There is a higher percentage of disabled individuals in Mountain view at 36.0% compared to 21.0% in Paden city.

Education Levels

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

Education Level Paden city Mountain view
No Schooling 0.2% (4) 2.4% (70)
High School Diploma 27.2% (666) 17.8% (520)
Less than High School 14.0% (344) 15.9% (464)
Bachelor's Degree and Higher 11.9% (291) 11.3% (329)

Education Levels Comparison: Paden city vs Mountain view

  • In Mountain view, a larger percentage of residents lack formal schooling at 2.4% compared to 0.2% in Paden city.
  • A higher percentage of residents in Paden city hold a high school diploma at 27.2% compared to 17.8% in Mountain view.
  • The percentage of residents with less than a high school education is higher in Mountain view at 15.9%, compared to 14.0% in Paden city.
  • A higher percentage of residents in Paden city hold a bachelor's degree or higher at 11.9% compared to 11.3% in Mountain view.

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.