Demographics details for Wheeling, WV vs Poplar bluff, MO

Population Overview

Compare main population characteristics in Wheeling, WV vs Poplar bluff, MO.

Data Wheeling Poplar bluff
Population 26,391 16,232
Median Age 45.0 years 36.0 years
Median Income $46,516 $37,448
Married Families 34.0% 29.0%
Poverty Level 18% 15%
Unemployment Rate 4.1 4.5

Population Comparison: Wheeling vs Poplar bluff

  • In Wheeling, the population is higher at 26,391, compared to 16,232 in Poplar bluff.
  • Residents in Wheeling have a higher median age of 45.0 years compared to 36.0 years in Poplar bluff.
  • Wheeling has a higher median income of $46,516 compared to $37,448 in Poplar bluff.
  • A higher percentage of married families is found in Wheeling at 34.0% compared to 29.0% in Poplar bluff.
  • Wheeling has a higher poverty level at 18% compared to 15% in Poplar bluff.
  • Poplar bluff has a higher unemployment rate at 4.5% compared to 4.1% in Wheeling.

Demographics

Demographics Wheeling vs Poplar bluff provide insight into the diversity of the communities to compare.

Demographic Wheeling Poplar bluff
Black 4 10
White 90 79
Asian 1 Data is updating
Hispanic 1 2
Two or More Races 4 8
American Indian Data is updating 1

Demographics Comparison: Wheeling vs Poplar bluff

  • In Poplar bluff, the percentage of Black residents is higher at 10% compared to 4% in Wheeling.
  • Wheeling has a higher percentage of White residents at 90% compared to 79% in Poplar bluff.
  • The Asian population is larger in Wheeling at 1% compared to 0% in Poplar bluff.
  • Poplar bluff has a higher percentage of Hispanic residents at 2%, compared to 1% in Wheeling.
  • The percentage of residents identifying as two or more races is higher in Poplar bluff at 8%, compared to 4% in Wheeling.
  • In Poplar bluff, the percentage of American Indian residents is higher at 1%, compared to 0% in Wheeling.

Health Statistics

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

Health Metric Wheeling Poplar bluff
Mental Health Not Good 19.5% 22.8%
Physical Health Not Good 13.3% 17.8%
Depression 28.7% 27.7%
Smoking 21.0% 31.5%
Binge Drinking 14.4% 15.3%
Obesity 40.4% 45.2%
Disability Percentage 17.0% 26.0%

Health Statistics Comparison: Wheeling vs Poplar bluff

  • In Poplar bluff, a higher percentage report poor mental health at 22.8% compared to 19.5% in Wheeling.
  • Depression is more prevalent in Wheeling at 28.7% compared to 27.7% in Poplar bluff.
  • Poplar bluff has a higher smoking rate at 31.5% compared to 21.0% in Wheeling.
  • More residents engage in binge drinking in Poplar bluff at 15.3% compared to 14.4% in Wheeling.
  • Poplar bluff has higher obesity rates at 45.2% compared to 40.4% in Wheeling.
  • There is a higher percentage of disabled individuals in Poplar bluff at 26.0% compared to 17.0% in Wheeling.

Education Levels

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

Education Level Wheeling Poplar bluff
No Schooling 0.5% (130) 0.7% (118)
High School Diploma 22.3% (5,888) 23.2% (3,763)
Less than High School 10.1% (2,653) 21.1% (3,419)
Bachelor's Degree and Higher 23.5% (6,209) 8.8% (1,422)

Education Levels Comparison: Wheeling vs Poplar bluff

  • In Poplar bluff, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Wheeling.
  • In Poplar bluff, the rate of residents with high school diplomas is higher at 23.2% compared to 22.3% in Wheeling.
  • The percentage of residents with less than a high school education is higher in Poplar bluff at 21.1%, 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 8.8% in Poplar bluff.

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.