Demographics details for Overland park, KS vs Montgomery, NY

Population Overview

Compare main population characteristics in Overland park, KS vs Montgomery, NY.

Data Overland park Montgomery
Population 197,726 49,623
Median Age 38.4 years 40.6 years
Median Income $100,876 $58,033
Married Families 44.0% 34.0%
Poverty Level 6% 10%
Unemployment Rate 3.3 4.2

Population Comparison: Overland park vs Montgomery

  • In Overland park, the population is higher at 197,726, compared to 49,623 in Montgomery.
  • The median age in Montgomery is higher at 40.6 years, compared to 38.4 years in Overland park.
  • Overland park has a higher median income of $100,876 compared to $58,033 in Montgomery.
  • A higher percentage of married families is found in Overland park at 44.0% compared to 34.0% in Montgomery.
  • The poverty level is higher in Montgomery at 10%, compared to 6% in Overland park.
  • Montgomery has a higher unemployment rate at 4.2% compared to 3.3% in Overland park.

Demographics

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

Demographic Overland park Montgomery
Black 5 3
White 74 74
Asian 9 1
Hispanic 7 15
Two or More Races 5 6
American Indian Data is updating 1

Demographics Comparison: Overland park vs Montgomery

  • A higher percentage of Black residents are in Overland park at 5% compared to 3% in Montgomery.
  • The percentage of White residents is the same in both Overland park and Montgomery at 74%.
  • The Asian population is larger in Overland park at 9% compared to 1% in Montgomery.
  • Montgomery has a higher percentage of Hispanic residents at 15%, compared to 7% in Overland park.
  • The percentage of residents identifying as two or more races is higher in Montgomery at 6%, compared to 5% in Overland park.
  • In Montgomery, the percentage of American Indian residents is higher at 1%, compared to 0% in Overland park.

Health Statistics

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

Health Metric Overland park Montgomery
Mental Health Not Good 12.2% 16.7%
Physical Health Not Good 6.9% 12.3%
Depression 18.3% 23.2%
Smoking 9.6% 20.4%
Binge Drinking 19.7% 17.8%
Obesity 28.6% 35.8%
Disability Percentage 8.0% 16.0%

Health Statistics Comparison: Overland park vs Montgomery

  • In Montgomery, a higher percentage report poor mental health at 16.7% compared to 12.2% in Overland park.
  • Higher depression rates are seen in Montgomery at 23.2% versus 18.3% in Overland park.
  • Montgomery has a higher smoking rate at 20.4% compared to 9.6% in Overland park.
  • Binge drinking is more common in Overland park at 19.7% compared to 17.8% in Montgomery.
  • Montgomery has higher obesity rates at 35.8% compared to 28.6% in Overland park.
  • There is a higher percentage of disabled individuals in Montgomery at 16.0% compared to 8.0% in Overland park.

Education Levels

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

Education Level Overland park Montgomery
No Schooling 0.5% (897) 1.1% (540)
High School Diploma 7.1% (13,953) 20.6% (10,235)
Less than High School 3.3% (6,590) 14.9% (7,375)
Bachelor's Degree and Higher 43.1% (85,152) 13.7% (6,785)

Education Levels Comparison: Overland park vs Montgomery

  • In Montgomery, a larger percentage of residents lack formal schooling at 1.1% compared to 0.5% in Overland park.
  • In Montgomery, the rate of residents with high school diplomas is higher at 20.6% compared to 7.1% in Overland park.
  • The percentage of residents with less than a high school education is higher in Montgomery at 14.9%, compared to 3.3% in Overland park.
  • A higher percentage of residents in Overland park hold a bachelor's degree or higher at 43.1% compared to 13.7% in Montgomery.

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.