Demographics details for Wheeling, WV vs Russell springs, KY

Population Overview

Compare main population characteristics in Wheeling, WV vs Russell springs, KY.

Data Wheeling Russell springs
Population 26,391 2,750
Median Age 45.0 years 44.8 years
Median Income $46,516 $34,219
Married Families 34.0% 29.0%
Poverty Level 18% 15%
Unemployment Rate 4.1 4.5

Population Comparison: Wheeling vs Russell springs

  • In Wheeling, the population is higher at 26,391, compared to 2,750 in Russell springs.
  • Residents in Wheeling have a higher median age of 45.0 years compared to 44.8 years in Russell springs.
  • Wheeling has a higher median income of $46,516 compared to $34,219 in Russell springs.
  • A higher percentage of married families is found in Wheeling at 34.0% compared to 29.0% in Russell springs.
  • Wheeling has a higher poverty level at 18% compared to 15% in Russell springs.
  • Russell springs has a higher unemployment rate at 4.5% compared to 4.1% in Wheeling.

Demographics

Demographics Wheeling vs Russell springs provide insight into the diversity of the communities to compare.

Demographic Wheeling Russell springs
Black 4 1
White 90 88
Asian 1 Data is updating
Hispanic 1 3
Two or More Races 4 8
American Indian Data is updating Data is updating

Demographics Comparison: Wheeling vs Russell springs

  • A higher percentage of Black residents are in Wheeling at 4% compared to 1% in Russell springs.
  • Wheeling has a higher percentage of White residents at 90% compared to 88% in Russell springs.
  • The Asian population is larger in Wheeling at 1% compared to 0% in Russell springs.
  • Russell springs has a higher percentage of Hispanic residents at 3%, compared to 1% in Wheeling.
  • The percentage of residents identifying as two or more races is higher in Russell springs at 8%, compared to 4% in Wheeling.
  • The percentage of American Indian residents is the same in both Wheeling and Russell springs at 0%.

Health Statistics

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

Health Metric Wheeling Russell springs
Mental Health Not Good 19.5% 20.7%
Physical Health Not Good 13.3% 15.6%
Depression 28.7% 29.0%
Smoking 21.0% 25.6%
Binge Drinking 14.4% 14.5%
Obesity 40.4% 40.3%
Disability Percentage 17.0% 15.0%

Health Statistics Comparison: Wheeling vs Russell springs

  • In Russell springs, a higher percentage report poor mental health at 20.7% compared to 19.5% in Wheeling.
  • Higher depression rates are seen in Russell springs at 29.0% versus 28.7% in Wheeling.
  • Russell springs has a higher smoking rate at 25.6% compared to 21.0% in Wheeling.
  • More residents engage in binge drinking in Russell springs at 14.5% compared to 14.4% in Wheeling.
  • Obesity rates are higher in Wheeling at 40.4% compared to 40.3% in Russell springs.
  • Disability percentages are higher in Wheeling at 17.0% compared to 15.0% in Russell springs.

Education Levels

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

Education Level Wheeling Russell springs
No Schooling 0.5% (130) 0.7% (20)
High School Diploma 22.3% (5,888) 13.6% (375)
Less than High School 10.1% (2,653) 23.3% (642)
Bachelor's Degree and Higher 23.5% (6,209) 18.4% (505)

Education Levels Comparison: Wheeling vs Russell springs

  • In Russell springs, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Wheeling.
  • A higher percentage of residents in Wheeling hold a high school diploma at 22.3% compared to 13.6% in Russell springs.
  • The percentage of residents with less than a high school education is higher in Russell springs at 23.3%, compared to 10.1% in Wheeling.
  • A higher percentage of residents in Wheeling hold a bachelor's degree or higher at 23.5% compared to 18.4% in Russell springs.

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.