Demographics details for Maple park, IL vs Schenectady, NY

Population Overview

Compare main population characteristics in Maple park, IL vs Schenectady, NY.

Data Maple park Schenectady
Population 1,484 68,809
Median Age 40.2 years 36.0 years
Median Income $116,806 $54,650
Married Families 49.0% 28.0%
Poverty Level 5% 13%
Unemployment Rate 4.0 4.6

Population Comparison: Maple park vs Schenectady

  • The population in Schenectady is higher at 68,809, compared to 1,484 in Maple park.
  • Residents in Maple park have a higher median age of 40.2 years compared to 36.0 years in Schenectady.
  • Maple park has a higher median income of $116,806 compared to $54,650 in Schenectady.
  • A higher percentage of married families is found in Maple park at 49.0% compared to 28.0% in Schenectady.
  • The poverty level is higher in Schenectady at 13%, compared to 5% in Maple park.
  • Schenectady has a higher unemployment rate at 4.6% compared to 4.0% in Maple park.

Demographics

Demographics Maple park vs Schenectady provide insight into the diversity of the communities to compare.

Demographic Maple park Schenectady
Black Data is updating 20
White 82 47
Asian Data is updating 7
Hispanic 9 12
Two or More Races 9 13
American Indian Data is updating 1

Demographics Comparison: Maple park vs Schenectady

  • In Schenectady, the percentage of Black residents is higher at 20% compared to 0% in Maple park.
  • Maple park has a higher percentage of White residents at 82% compared to 47% in Schenectady.
  • In Schenectady, the Asian population stands at 7%, greater than 0% in Maple park.
  • Schenectady has a higher percentage of Hispanic residents at 12%, compared to 9% in Maple park.
  • The percentage of residents identifying as two or more races is higher in Schenectady at 13%, compared to 9% in Maple park.
  • In Schenectady, the percentage of American Indian residents is higher at 1%, compared to 0% in Maple park.

Health Statistics

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

Health Metric Maple park Schenectady
Mental Health Not Good 15.0% 17.4%
Physical Health Not Good 9.7% 12.5%
Depression 20.4% 24.0%
Smoking 14.4% 22.7%
Binge Drinking 19.4% 16.2%
Obesity 34.2% 39.6%
Disability Percentage 11.0% 15.0%

Health Statistics Comparison: Maple park vs Schenectady

  • In Schenectady, a higher percentage report poor mental health at 17.4% compared to 15.0% in Maple park.
  • Higher depression rates are seen in Schenectady at 24.0% versus 20.4% in Maple park.
  • Schenectady has a higher smoking rate at 22.7% compared to 14.4% in Maple park.
  • Binge drinking is more common in Maple park at 19.4% compared to 16.2% in Schenectady.
  • Schenectady has higher obesity rates at 39.6% compared to 34.2% in Maple park.
  • There is a higher percentage of disabled individuals in Schenectady at 15.0% compared to 11.0% in Maple park.

Education Levels

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

Education Level Maple park Schenectady
No Schooling 0.0% (Data is updating) 1.7% (1,194)
High School Diploma 20.6% (305) 15.3% (10,540)
Less than High School 7.1% (106) 14.7% (10,146)
Bachelor's Degree and Higher 23.7% (351) 15.0% (10,303)

Education Levels Comparison: Maple park vs Schenectady

  • In Schenectady, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Maple park.
  • A higher percentage of residents in Maple park hold a high school diploma at 20.6% compared to 15.3% in Schenectady.
  • The percentage of residents with less than a high school education is higher in Schenectady at 14.7%, compared to 7.1% in Maple park.
  • A higher percentage of residents in Maple park hold a bachelor's degree or higher at 23.7% compared to 15.0% in Schenectady.

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.