Demographics details for Overland park, KS vs Mc henry, MS

Population Overview

Compare main population characteristics in Overland park, KS vs Mc henry, MS.

Data Overland park Mc henry
Population 197,726 183
Median Age 38.4 years 43.0 years
Median Income $100,876 $49,000
Married Families 44.0% 68.0%
Poverty Level 6% 15%
Unemployment Rate 3.3 5.0

Population Comparison: Overland park vs Mc henry

  • In Overland park, the population is higher at 197,726, compared to 183 in Mc henry.
  • The median age in Mc henry is higher at 43.0 years, compared to 38.4 years in Overland park.
  • Overland park has a higher median income of $100,876 compared to $49,000 in Mc henry.
  • In Mc henry, the percentage of married families is higher at 68.0%, compared to 44.0% in Overland park.
  • The poverty level is higher in Mc henry at 15%, compared to 6% in Overland park.
  • Mc henry has a higher unemployment rate at 5.0% compared to 3.3% in Overland park.

Demographics

Demographics Overland park vs Mc henry provide insight into the diversity of the communities to compare.

Demographic Overland park Mc henry
Black 5 20
White 74 70
Asian 9 5
Hispanic 7 3
Two or More Races 5 2
American Indian Data is updating Data is updating

Demographics Comparison: Overland park vs Mc henry

  • In Mc henry, the percentage of Black residents is higher at 20% compared to 5% in Overland park.
  • Overland park has a higher percentage of White residents at 74% compared to 70% in Mc henry.
  • The Asian population is larger in Overland park at 9% compared to 5% in Mc henry.
  • The Hispanic community is larger in Overland park at 7% compared to 3% in Mc henry.
  • More residents identify as two or more races in Overland park at 5% compared to 2% in Mc henry.
  • The percentage of American Indian residents is the same in both Overland park and Mc henry at 0%.

Health Statistics

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

Health Metric Overland park Mc henry
Mental Health Not Good 12.2% Data is updating%
Physical Health Not Good 6.9% Data is updating%
Depression 18.3% Data is updating%
Smoking 9.6% Data is updating%
Binge Drinking 19.7% Data is updating%
Obesity 28.6% Data is updating%
Disability Percentage 8.0% Data is updating%

Health Statistics Comparison: Overland park vs Mc henry

  • More residents in Overland park report poor mental health at 12.2% compared to 0.0% in Mc henry.
  • Depression is more prevalent in Overland park at 18.3% compared to 0.0% in Mc henry.
  • Smoking is more prevalent in Overland park at 9.6% compared to 0.0% in Mc henry.
  • Binge drinking is more common in Overland park at 19.7% compared to 0.0% in Mc henry.
  • Obesity rates are higher in Overland park at 28.6% compared to 0.0% in Mc henry.
  • Disability percentages are higher in Overland park at 8.0% compared to 0.0% in Mc henry.

Education Levels

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

Education Level Overland park Mc henry
No Schooling 0.5% (897) 0.0% (Data is updating)
High School Diploma 7.1% (13,953) 0.0% (Data is updating)
Less than High School 3.3% (6,590) 0.0% (Data is updating)
Bachelor's Degree and Higher 43.1% (85,152) 0.0% (Data is updating)

Education Levels Comparison: Overland park vs Mc henry

  • A higher percentage of residents in Overland park have no formal schooling at 0.5% compared to 0.0% in Mc henry.
  • A higher percentage of residents in Overland park hold a high school diploma at 7.1% compared to 0.0% in Mc henry.
  • More residents in Overland park have less than a high school education at 3.3% compared to 0.0% in Mc henry.
  • A higher percentage of residents in Overland park hold a bachelor's degree or higher at 43.1% compared to 0.0% in Mc henry.

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.