Demographics details for Manhattan, KS vs New windsor, NY

Population Overview

Compare main population characteristics in Manhattan, KS vs New windsor, NY.

Data Manhattan New windsor
Population 53,829 27,664
Median Age 24.7 years 41.0 years
Median Income $55,316 $80,000
Married Families 29.0% 62.1%
Poverty Level 15% Data is updating
Unemployment Rate 3.8 3.1

Population Comparison: Manhattan vs New windsor

  • In Manhattan, the population is higher at 53,829, compared to 27,664 in New windsor.
  • The median age in New windsor is higher at 41.0 years, compared to 24.7 years in Manhattan.
  • New windsor has a higher median income of $80,000, compared to $55,316 in Manhattan.
  • In New windsor, the percentage of married families is higher at 62.1%, compared to 29.0% in Manhattan.
  • Manhattan has a higher poverty level at 15% compared to 0% in New windsor.
  • The unemployment rate in Manhattan is higher at 3.8%, compared to 3.1% in New windsor.

Demographics

Demographics Manhattan vs New windsor provide insight into the diversity of the communities to compare.

Demographic Manhattan New windsor
Black 5 5
White 74 80
Asian 5 5
Hispanic 8 10
Two or More Races 7 Data is updating
American Indian 1 Data is updating

Demographics Comparison: Manhattan vs New windsor

  • The percentage of Black residents is the same in both Manhattan and New windsor at 5%.
  • The percentage of White residents is higher in New windsor at 80% compared to 74% in Manhattan.
  • Both Manhattan and New windsor have the same percentage of Asian residents at 5%.
  • New windsor has a higher percentage of Hispanic residents at 10%, compared to 8% in Manhattan.
  • More residents identify as two or more races in Manhattan at 7% compared to 0% in New windsor.
  • A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in New windsor.

Health Statistics

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

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

Health Statistics Comparison: Manhattan vs New windsor

  • More residents in Manhattan report poor mental health at 15.7% compared to 0.0% in New windsor.
  • Depression is more prevalent in Manhattan at 20.2% compared to 0.0% in New windsor.
  • Smoking is more prevalent in Manhattan at 16.0% compared to 0.0% in New windsor.
  • Binge drinking is more common in Manhattan at 20.6% compared to 0.0% in New windsor.
  • Obesity rates are higher in Manhattan at 32.2% compared to 0.0% in New windsor.
  • Disability percentages are higher in Manhattan at 12.0% compared to 0.0% in New windsor.

Education Levels

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

Education Level Manhattan New windsor
No Schooling 0.5% (256) 0.0% (Data is updating)
High School Diploma 5.8% (3,138) 0.0% (Data is updating)
Less than High School 4.2% (2,256) 0.0% (Data is updating)
Bachelor's Degree and Higher 26.0% (14,017) 0.0% (Data is updating)

Education Levels Comparison: Manhattan vs New windsor

  • A higher percentage of residents in Manhattan have no formal schooling at 0.5% compared to 0.0% in New windsor.
  • A higher percentage of residents in Manhattan hold a high school diploma at 5.8% compared to 0.0% in New windsor.
  • More residents in Manhattan have less than a high school education at 4.2% compared to 0.0% in New windsor.
  • A higher percentage of residents in Manhattan hold a bachelor's degree or higher at 26.0% compared to 0.0% in New windsor.

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.