Demographics details for West chester, OH vs Manhattan, KS

Population Overview

Compare main population characteristics in West chester, OH vs Manhattan, KS.

Data West chester Manhattan
Population 64,794 53,829
Median Age 38.7 years 24.7 years
Median Income $106,150 $55,316
Married Families 46.0% 29.0%
Poverty Level 4% 15%
Unemployment Rate 3.2 3.8

Population Comparison: West chester vs Manhattan

  • In West chester, the population is higher at 64,794, compared to 53,829 in Manhattan.
  • Residents in West chester have a higher median age of 38.7 years compared to 24.7 years in Manhattan.
  • West chester has a higher median income of $106,150 compared to $55,316 in Manhattan.
  • A higher percentage of married families is found in West chester at 46.0% compared to 29.0% in Manhattan.
  • The poverty level is higher in Manhattan at 15%, compared to 4% in West chester.
  • Manhattan has a higher unemployment rate at 3.8% compared to 3.2% in West chester.

Demographics

Demographics West chester vs Manhattan provide insight into the diversity of the communities to compare.

Demographic West chester Manhattan
Black 9 5
White 73 74
Asian 9 5
Hispanic 5 8
Two or More Races 4 7
American Indian Data is updating 1

Demographics Comparison: West chester vs Manhattan

  • A higher percentage of Black residents are in West chester at 9% compared to 5% in Manhattan.
  • The percentage of White residents is higher in Manhattan at 74% compared to 73% in West chester.
  • The Asian population is larger in West chester at 9% compared to 5% in Manhattan.
  • Manhattan has a higher percentage of Hispanic residents at 8%, compared to 5% in West chester.
  • The percentage of residents identifying as two or more races is higher in Manhattan at 7%, compared to 4% in West chester.
  • In Manhattan, the percentage of American Indian residents is higher at 1%, compared to 0% in West chester.

Health Statistics

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

Health Metric West chester Manhattan
Mental Health Not Good Data is updating% 15.7%
Physical Health Not Good Data is updating% 10.1%
Depression Data is updating% 20.2%
Smoking Data is updating% 16.0%
Binge Drinking Data is updating% 20.6%
Obesity Data is updating% 32.2%
Disability Percentage 8.0% 12.0%

Health Statistics Comparison: West chester vs Manhattan

  • In Manhattan, a higher percentage report poor mental health at 15.7% compared to 0.0% in West chester.
  • Higher depression rates are seen in Manhattan at 20.2% versus 0.0% in West chester.
  • Manhattan has a higher smoking rate at 16.0% compared to 0.0% in West chester.
  • More residents engage in binge drinking in Manhattan at 20.6% compared to 0.0% in West chester.
  • Manhattan has higher obesity rates at 32.2% compared to 0.0% in West chester.
  • There is a higher percentage of disabled individuals in Manhattan at 12.0% compared to 8.0% in West chester.

Education Levels

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

Education Level West chester Manhattan
No Schooling 1.1% (725) 0.5% (256)
High School Diploma 12.3% (7,946) 5.8% (3,138)
Less than High School 6.8% (4,436) 4.2% (2,256)
Bachelor's Degree and Higher 34.7% (22,503) 26.0% (14,017)

Education Levels Comparison: West chester vs Manhattan

  • A higher percentage of residents in West chester have no formal schooling at 1.1% compared to 0.5% in Manhattan.
  • A higher percentage of residents in West chester hold a high school diploma at 12.3% compared to 5.8% in Manhattan.
  • More residents in West chester have less than a high school education at 6.8% compared to 4.2% in Manhattan.
  • A higher percentage of residents in West chester hold a bachelor's degree or higher at 34.7% compared to 26.0% in Manhattan.

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.