Demographics details for Keuka park, NY vs Scott city, KS

Population Overview

Compare main population characteristics in Keuka park, NY vs Scott city, KS.

Data Keuka park Scott city
Population 1,092 4,008
Median Age 20.4 years 36.0 years
Median Income $79,569 $47,217
Married Families 15.0% 44.0%
Poverty Level 12% 10%
Unemployment Rate 4.1 4.0

Population Comparison: Keuka park vs Scott city

  • The population in Scott city is higher at 4,008, compared to 1,092 in Keuka park.
  • The median age in Scott city is higher at 36.0 years, compared to 20.4 years in Keuka park.
  • Keuka park has a higher median income of $79,569 compared to $47,217 in Scott city.
  • In Scott city, the percentage of married families is higher at 44.0%, compared to 15.0% in Keuka park.
  • Keuka park has a higher poverty level at 12% compared to 10% in Scott city.
  • The unemployment rate in Keuka park is higher at 4.1%, compared to 4.0% in Scott city.

Demographics

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

Demographic Keuka park Scott city
Black 1 Data is updating
White 97 69
Asian Data is updating 1
Hispanic 1 25
Two or More Races 1 5
American Indian Data is updating Data is updating

Demographics Comparison: Keuka park vs Scott city

  • A higher percentage of Black residents are in Keuka park at 1% compared to 0% in Scott city.
  • Keuka park has a higher percentage of White residents at 97% compared to 69% in Scott city.
  • In Scott city, the Asian population stands at 1%, greater than 0% in Keuka park.
  • Scott city has a higher percentage of Hispanic residents at 25%, compared to 1% in Keuka park.
  • The percentage of residents identifying as two or more races is higher in Scott city at 5%, compared to 1% in Keuka park.
  • The percentage of American Indian residents is the same in both Keuka park and Scott city at 0%.

Health Statistics

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

Health Metric Keuka park Scott city
Mental Health Not Good 14.9% 15.6%
Physical Health Not Good 9.0% 10.3%
Depression 25.1% 19.7%
Smoking 14.8% 17.6%
Binge Drinking 17.5% 19.2%
Obesity 29.4% 38.1%
Disability Percentage 19.0% 11.0%

Health Statistics Comparison: Keuka park vs Scott city

  • In Scott city, a higher percentage report poor mental health at 15.6% compared to 14.9% in Keuka park.
  • Depression is more prevalent in Keuka park at 25.1% compared to 19.7% in Scott city.
  • Scott city has a higher smoking rate at 17.6% compared to 14.8% in Keuka park.
  • More residents engage in binge drinking in Scott city at 19.2% compared to 17.5% in Keuka park.
  • Scott city has higher obesity rates at 38.1% compared to 29.4% in Keuka park.
  • Disability percentages are higher in Keuka park at 19.0% compared to 11.0% in Scott city.

Education Levels

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

Education Level Keuka park Scott city
No Schooling 0.0% (Data is updating) 2.9% (116)
High School Diploma 3.6% (39) 13.5% (543)
Less than High School 0.0% (Data is updating) 24.2% (968)
Bachelor's Degree and Higher 13.6% (149) 12.2% (490)

Education Levels Comparison: Keuka park vs Scott city

  • In Scott city, a larger percentage of residents lack formal schooling at 2.9% compared to 0.0% in Keuka park.
  • In Scott city, the rate of residents with high school diplomas is higher at 13.5% compared to 3.6% in Keuka park.
  • The percentage of residents with less than a high school education is higher in Scott city at 24.2%, compared to 0.0% in Keuka park.
  • A higher percentage of residents in Keuka park hold a bachelor's degree or higher at 13.6% compared to 12.2% in Scott city.

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.