Demographics details for Clifton, KS vs Moundsville, WV

Population Overview

Compare main population characteristics in Clifton, KS vs Moundsville, WV.

Data Clifton Moundsville
Population 447 7,829
Median Age 43.5 years 47.2 years
Median Income $51,563 $46,070
Married Families 41.0% 42.0%
Poverty Level Data is updating 15%
Unemployment Rate 3.5 5.0

Population Comparison: Clifton vs Moundsville

  • The population in Moundsville is higher at 7,829, compared to 447 in Clifton.
  • The median age in Moundsville is higher at 47.2 years, compared to 43.5 years in Clifton.
  • Clifton has a higher median income of $51,563 compared to $46,070 in Moundsville.
  • In Moundsville, the percentage of married families is higher at 42.0%, compared to 41.0% in Clifton.
  • The poverty level is higher in Moundsville at 15%, compared to 0% in Clifton.
  • Moundsville has a higher unemployment rate at 5.0% compared to 3.5% in Clifton.

Demographics

Demographics Clifton vs Moundsville provide insight into the diversity of the communities to compare.

Demographic Clifton Moundsville
Black Data is updating Data is updating
White 93 94
Asian 4 Data is updating
Hispanic 2 2
Two or More Races 1 4
American Indian Data is updating Data is updating

Demographics Comparison: Clifton vs Moundsville

  • The percentage of Black residents is the same in both Clifton and Moundsville at 0%.
  • The percentage of White residents is higher in Moundsville at 94% compared to 93% in Clifton.
  • The Asian population is larger in Clifton at 4% compared to 0% in Moundsville.
  • The percentage of Hispanic residents is the same in both Clifton and Moundsville at 2%.
  • The percentage of residents identifying as two or more races is higher in Moundsville at 4%, compared to 1% in Clifton.
  • The percentage of American Indian residents is the same in both Clifton and Moundsville at 0%.

Health Statistics

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

Health Metric Clifton Moundsville
Mental Health Not Good 15.7% 20.9%
Physical Health Not Good 10.1% 15.3%
Depression 20.7% 27.6%
Smoking 18.8% 23.4%
Binge Drinking 20.8% 14.5%
Obesity 40.0% 41.7%
Disability Percentage 19.0% 22.0%

Health Statistics Comparison: Clifton vs Moundsville

  • In Moundsville, a higher percentage report poor mental health at 20.9% compared to 15.7% in Clifton.
  • Higher depression rates are seen in Moundsville at 27.6% versus 20.7% in Clifton.
  • Moundsville has a higher smoking rate at 23.4% compared to 18.8% in Clifton.
  • Binge drinking is more common in Clifton at 20.8% compared to 14.5% in Moundsville.
  • Moundsville has higher obesity rates at 41.7% compared to 40.0% in Clifton.
  • There is a higher percentage of disabled individuals in Moundsville at 22.0% compared to 19.0% in Clifton.

Education Levels

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

Education Level Clifton Moundsville
No Schooling 0.4% (2) 0.4% (28)
High School Diploma 29.1% (130) 33.6% (2,631)
Less than High School 7.2% (32) 12.6% (989)
Bachelor's Degree and Higher 14.5% (65) 9.8% (767)

Education Levels Comparison: Clifton vs Moundsville

  • The percentage of residents with no formal schooling is the same in both Clifton and Moundsville at 0.4%.
  • In Moundsville, the rate of residents with high school diplomas is higher at 33.6% compared to 29.1% in Clifton.
  • The percentage of residents with less than a high school education is higher in Moundsville at 12.6%, compared to 7.2% in Clifton.
  • A higher percentage of residents in Clifton hold a bachelor's degree or higher at 14.5% compared to 9.8% in Moundsville.

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.