Demographics details for Glen elder, KS vs Chester, MA

Population Overview

Compare main population characteristics in Glen elder, KS vs Chester, MA.

Data Glen elder Chester
Population 363 1,337
Median Age 42.7 years 41.0 years
Median Income $65,417 $78,889
Married Families 80.0% 64.0%
Poverty Level 10% 4%
Unemployment Rate 3.0 3.3

Population Comparison: Glen elder vs Chester

  • The population in Chester is higher at 1,337, compared to 363 in Glen elder.
  • Residents in Glen elder have a higher median age of 42.7 years compared to 41.0 years in Chester.
  • Chester has a higher median income of $78,889, compared to $65,417 in Glen elder.
  • A higher percentage of married families is found in Glen elder at 80.0% compared to 64.0% in Chester.
  • Glen elder has a higher poverty level at 10% compared to 4% in Chester.
  • Chester has a higher unemployment rate at 3.3% compared to 3.0% in Glen elder.

Demographics

Demographics Glen elder vs Chester provide insight into the diversity of the communities to compare.

Demographic Glen elder Chester
Black Data is updating Data is updating
White 86 100
Asian 2 Data is updating
Hispanic 7 Data is updating
Two or More Races 5 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Glen elder vs Chester

  • The percentage of Black residents is the same in both Glen elder and Chester at 0%.
  • The percentage of White residents is higher in Chester at 100% compared to 86% in Glen elder.
  • The Asian population is larger in Glen elder at 2% compared to 0% in Chester.
  • The Hispanic community is larger in Glen elder at 7% compared to 0% in Chester.
  • More residents identify as two or more races in Glen elder at 5% compared to 0% in Chester.
  • The percentage of American Indian residents is the same in both Glen elder and Chester at 0%.

Health Statistics

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

Health Metric Glen elder Chester
Mental Health Not Good 15.8% Data is updating%
Physical Health Not Good 10.2% Data is updating%
Depression 21.3% Data is updating%
Smoking 17.7% Data is updating%
Binge Drinking 19.5% Data is updating%
Obesity 38.5% Data is updating%
Disability Percentage 22.0% Data is updating%

Health Statistics Comparison: Glen elder vs Chester

  • More residents in Glen elder report poor mental health at 15.8% compared to 0.0% in Chester.
  • Depression is more prevalent in Glen elder at 21.3% compared to 0.0% in Chester.
  • Smoking is more prevalent in Glen elder at 17.7% compared to 0.0% in Chester.
  • Binge drinking is more common in Glen elder at 19.5% compared to 0.0% in Chester.
  • Obesity rates are higher in Glen elder at 38.5% compared to 0.0% in Chester.
  • Disability percentages are higher in Glen elder at 22.0% compared to 0.0% in Chester.

Education Levels

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

Education Level Glen elder Chester
No Schooling 0.6% (2) 0.0% (Data is updating)
High School Diploma 30.3% (110) 0.0% (Data is updating)
Less than High School 1.7% (6) 0.0% (Data is updating)
Bachelor's Degree and Higher 16.5% (60) 0.0% (Data is updating)

Education Levels Comparison: Glen elder vs Chester

  • A higher percentage of residents in Glen elder have no formal schooling at 0.6% compared to 0.0% in Chester.
  • A higher percentage of residents in Glen elder hold a high school diploma at 30.3% compared to 0.0% in Chester.
  • More residents in Glen elder have less than a high school education at 1.7% compared to 0.0% in Chester.
  • A higher percentage of residents in Glen elder hold a bachelor's degree or higher at 16.5% compared to 0.0% in Chester.

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.