Demographics details for Keuka park, NY vs College park, MD

Population Overview

Compare main population characteristics in Keuka park, NY vs College park, MD.

Data Keuka park College park
Population 1,092 34,190
Median Age 20.4 years 21.6 years
Median Income $79,569 $76,973
Married Families 15.0% 17.0%
Poverty Level 12% 10%
Unemployment Rate 4.1 5.5

Population Comparison: Keuka park vs College park

  • The population in College park is higher at 34,190, compared to 1,092 in Keuka park.
  • The median age in College park is higher at 21.6 years, compared to 20.4 years in Keuka park.
  • Keuka park has a higher median income of $79,569 compared to $76,973 in College park.
  • In College park, the percentage of married families is higher at 17.0%, compared to 15.0% in Keuka park.
  • Keuka park has a higher poverty level at 12% compared to 10% in College park.
  • College park has a higher unemployment rate at 5.5% compared to 4.1% in Keuka park.

Demographics

Demographics Keuka park vs College park provide insight into the diversity of the communities to compare.

Demographic Keuka park College park
Black 1 23
White 97 39
Asian Data is updating 14
Hispanic 1 17
Two or More Races 1 7
American Indian Data is updating Data is updating

Demographics Comparison: Keuka park vs College park

  • In College park, the percentage of Black residents is higher at 23% compared to 1% in Keuka park.
  • Keuka park has a higher percentage of White residents at 97% compared to 39% in College park.
  • In College park, the Asian population stands at 14%, greater than 0% in Keuka park.
  • College park has a higher percentage of Hispanic residents at 17%, compared to 1% in Keuka park.
  • The percentage of residents identifying as two or more races is higher in College park at 7%, compared to 1% in Keuka park.
  • The percentage of American Indian residents is the same in both Keuka park and College park at 0%.

Health Statistics

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

Health Metric Keuka park College park
Mental Health Not Good 14.9% 14.8%
Physical Health Not Good 9.0% 10.0%
Depression 25.1% 15.4%
Smoking 14.8% 12.4%
Binge Drinking 17.5% 12.8%
Obesity 29.4% 36.4%
Disability Percentage 19.0% 5.0%

Health Statistics Comparison: Keuka park vs College park

  • More residents in Keuka park report poor mental health at 14.9% compared to 14.8% in College park.
  • Depression is more prevalent in Keuka park at 25.1% compared to 15.4% in College park.
  • Smoking is more prevalent in Keuka park at 14.8% compared to 12.4% in College park.
  • Binge drinking is more common in Keuka park at 17.5% compared to 12.8% in College park.
  • College park has higher obesity rates at 36.4% compared to 29.4% in Keuka park.
  • Disability percentages are higher in Keuka park at 19.0% compared to 5.0% in College park.

Education Levels

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

Education Level Keuka park College park
No Schooling 0.0% (Data is updating) 1.9% (657)
High School Diploma 3.6% (39) 6.4% (2,199)
Less than High School 0.0% (Data is updating) 9.4% (3,210)
Bachelor's Degree and Higher 13.6% (149) 19.8% (6,769)

Education Levels Comparison: Keuka park vs College park

  • In College park, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Keuka park.
  • In College park, the rate of residents with high school diplomas is higher at 6.4% compared to 3.6% in Keuka park.
  • The percentage of residents with less than a high school education is higher in College park at 9.4%, compared to 0.0% in Keuka park.
  • In College park, a larger share of residents have a bachelor's degree or higher at 19.8% compared to 13.6% in Keuka park.

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.