Demographics details for Murrayville, GA vs Wapakoneta, OH

Population Overview

Compare main population characteristics in Murrayville, GA vs Wapakoneta, OH.

Data Murrayville Wapakoneta
Population 17,470 9,776
Median Age 45.3 years 41.6 years
Median Income $80,987 $63,008
Married Families 54.0% 42.0%
Poverty Level 9% 10%
Unemployment Rate 3.2 4.5

Population Comparison: Murrayville vs Wapakoneta

  • In Murrayville, the population is higher at 17,470, compared to 9,776 in Wapakoneta.
  • Residents in Murrayville have a higher median age of 45.3 years compared to 41.6 years in Wapakoneta.
  • Murrayville has a higher median income of $80,987 compared to $63,008 in Wapakoneta.
  • A higher percentage of married families is found in Murrayville at 54.0% compared to 42.0% in Wapakoneta.
  • The poverty level is higher in Wapakoneta at 10%, compared to 9% in Murrayville.
  • Wapakoneta has a higher unemployment rate at 4.5% compared to 3.2% in Murrayville.

Demographics

Demographics Murrayville vs Wapakoneta provide insight into the diversity of the communities to compare.

Demographic Murrayville Wapakoneta
Black Data is updating 1
White 79 89
Asian 1 Data is updating
Hispanic 14 5
Two or More Races 6 5
American Indian Data is updating Data is updating

Demographics Comparison: Murrayville vs Wapakoneta

  • In Wapakoneta, the percentage of Black residents is higher at 1% compared to 0% in Murrayville.
  • The percentage of White residents is higher in Wapakoneta at 89% compared to 79% in Murrayville.
  • The Asian population is larger in Murrayville at 1% compared to 0% in Wapakoneta.
  • The Hispanic community is larger in Murrayville at 14% compared to 5% in Wapakoneta.
  • More residents identify as two or more races in Murrayville at 6% compared to 5% in Wapakoneta.
  • The percentage of American Indian residents is the same in both Murrayville and Wapakoneta at 0%.

Health Statistics

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

Health Metric Murrayville Wapakoneta
Mental Health Not Good Data is updating% 18.1%
Physical Health Not Good Data is updating% 12.3%
Depression Data is updating% 23.8%
Smoking Data is updating% 21.3%
Binge Drinking Data is updating% 18.8%
Obesity Data is updating% 38.8%
Disability Percentage 15.0% 13.0%

Health Statistics Comparison: Murrayville vs Wapakoneta

  • In Wapakoneta, a higher percentage report poor mental health at 18.1% compared to 0.0% in Murrayville.
  • Higher depression rates are seen in Wapakoneta at 23.8% versus 0.0% in Murrayville.
  • Wapakoneta has a higher smoking rate at 21.3% compared to 0.0% in Murrayville.
  • More residents engage in binge drinking in Wapakoneta at 18.8% compared to 0.0% in Murrayville.
  • Wapakoneta has higher obesity rates at 38.8% compared to 0.0% in Murrayville.
  • Disability percentages are higher in Murrayville at 15.0% compared to 13.0% in Wapakoneta.

Education Levels

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

Education Level Murrayville Wapakoneta
No Schooling 1.6% (284) 0.1% (9)
High School Diploma 16.3% (2,849) 26.9% (2,625)
Less than High School 17.3% (3,024) 11.8% (1,157)
Bachelor's Degree and Higher 24.6% (4,298) 14.0% (1,364)

Education Levels Comparison: Murrayville vs Wapakoneta

  • A higher percentage of residents in Murrayville have no formal schooling at 1.6% compared to 0.1% in Wapakoneta.
  • In Wapakoneta, the rate of residents with high school diplomas is higher at 26.9% compared to 16.3% in Murrayville.
  • More residents in Murrayville have less than a high school education at 17.3% compared to 11.8% in Wapakoneta.
  • A higher percentage of residents in Murrayville hold a bachelor's degree or higher at 24.6% compared to 14.0% in Wapakoneta.

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.