Demographics details for Averill park, NY vs Highland, KS

Population Overview

Compare main population characteristics in Averill park, NY vs Highland, KS.

Data Averill park Highland
Population 1,608 915
Median Age 53.3 years 20.4 years
Median Income $109,746 $65,000
Married Families 50.0% 25.0%
Poverty Level 4% 5%
Unemployment Rate 3.5 3.2

Population Comparison: Averill park vs Highland

  • In Averill park, the population is higher at 1,608, compared to 915 in Highland.
  • Residents in Averill park have a higher median age of 53.3 years compared to 20.4 years in Highland.
  • Averill park has a higher median income of $109,746 compared to $65,000 in Highland.
  • A higher percentage of married families is found in Averill park at 50.0% compared to 25.0% in Highland.
  • The poverty level is higher in Highland at 5%, compared to 4% in Averill park.
  • The unemployment rate in Averill park is higher at 3.5%, compared to 3.2% in Highland.

Demographics

Demographics Averill park vs Highland provide insight into the diversity of the communities to compare.

Demographic Averill park Highland
Black Data is updating 33
White 100 51
Asian Data is updating 1
Hispanic Data is updating 7
Two or More Races Data is updating 8
American Indian Data is updating Data is updating

Demographics Comparison: Averill park vs Highland

  • In Highland, the percentage of Black residents is higher at 33% compared to 0% in Averill park.
  • Averill park has a higher percentage of White residents at 100% compared to 51% in Highland.
  • In Highland, the Asian population stands at 1%, greater than 0% in Averill park.
  • Highland has a higher percentage of Hispanic residents at 7%, compared to 0% in Averill park.
  • The percentage of residents identifying as two or more races is higher in Highland at 8%, compared to 0% in Averill park.
  • The percentage of American Indian residents is the same in both Averill park and Highland at 0%.

Health Statistics

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

Health Metric Averill park Highland
Mental Health Not Good 14.6% 16.5%
Physical Health Not Good 9.1% 10.8%
Depression 23.7% 21.5%
Smoking 15.9% 19.7%
Binge Drinking 21.5% 19.2%
Obesity 34.6% 40.1%
Disability Percentage 14.0% 17.0%

Health Statistics Comparison: Averill park vs Highland

  • In Highland, a higher percentage report poor mental health at 16.5% compared to 14.6% in Averill park.
  • Depression is more prevalent in Averill park at 23.7% compared to 21.5% in Highland.
  • Highland has a higher smoking rate at 19.7% compared to 15.9% in Averill park.
  • Binge drinking is more common in Averill park at 21.5% compared to 19.2% in Highland.
  • Highland has higher obesity rates at 40.1% compared to 34.6% in Averill park.
  • There is a higher percentage of disabled individuals in Highland at 17.0% compared to 14.0% in Averill park.

Education Levels

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

Education Level Averill park Highland
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 22.0% (354) 7.5% (69)
Less than High School 3.7% (60) 6.1% (56)
Bachelor's Degree and Higher 32.3% (520) 15.3% (140)

Education Levels Comparison: Averill park vs Highland

  • The percentage of residents with no formal schooling is the same in both Averill park and Highland at 0.0%.
  • A higher percentage of residents in Averill park hold a high school diploma at 22.0% compared to 7.5% in Highland.
  • The percentage of residents with less than a high school education is higher in Highland at 6.1%, compared to 3.7% in Averill park.
  • A higher percentage of residents in Averill park hold a bachelor's degree or higher at 32.3% compared to 15.3% in Highland.

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.