Demographics details for Glen elder, KS vs Chunchula, AL

Population Overview

Compare main population characteristics in Glen elder, KS vs Chunchula, AL.

Data Glen elder Chunchula
Population 363 152
Median Age 42.7 years 49.3 years
Median Income $65,417 $35,896
Married Families 80.0% 32.0%
Poverty Level 10% 5%
Unemployment Rate 3.0 3.1

Population Comparison: Glen elder vs Chunchula

  • In Glen elder, the population is higher at 363, compared to 152 in Chunchula.
  • The median age in Chunchula is higher at 49.3 years, compared to 42.7 years in Glen elder.
  • Glen elder has a higher median income of $65,417 compared to $35,896 in Chunchula.
  • A higher percentage of married families is found in Glen elder at 80.0% compared to 32.0% in Chunchula.
  • Glen elder has a higher poverty level at 10% compared to 5% in Chunchula.
  • Chunchula has a higher unemployment rate at 3.1% compared to 3.0% in Glen elder.

Demographics

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

Demographic Glen elder Chunchula
Black Data is updating 69
White 86 31
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 Chunchula

  • In Chunchula, the percentage of Black residents is higher at 69% compared to 0% in Glen elder.
  • Glen elder has a higher percentage of White residents at 86% compared to 31% in Chunchula.
  • The Asian population is larger in Glen elder at 2% compared to 0% in Chunchula.
  • The Hispanic community is larger in Glen elder at 7% compared to 0% in Chunchula.
  • More residents identify as two or more races in Glen elder at 5% compared to 0% in Chunchula.
  • The percentage of American Indian residents is the same in both Glen elder and Chunchula at 0%.

Health Statistics

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

Health Metric Glen elder Chunchula
Mental Health Not Good 15.8% 20.1%
Physical Health Not Good 10.2% 14.4%
Depression 21.3% 21.8%
Smoking 17.7% 21.6%
Binge Drinking 19.5% 15.9%
Obesity 38.5% 43.3%
Disability Percentage 22.0% 30.0%

Health Statistics Comparison: Glen elder vs Chunchula

  • In Chunchula, a higher percentage report poor mental health at 20.1% compared to 15.8% in Glen elder.
  • Higher depression rates are seen in Chunchula at 21.8% versus 21.3% in Glen elder.
  • Chunchula has a higher smoking rate at 21.6% compared to 17.7% in Glen elder.
  • Binge drinking is more common in Glen elder at 19.5% compared to 15.9% in Chunchula.
  • Chunchula has higher obesity rates at 43.3% compared to 38.5% in Glen elder.
  • There is a higher percentage of disabled individuals in Chunchula at 30.0% compared to 22.0% in Glen elder.

Education Levels

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

Education Level Glen elder Chunchula
No Schooling 0.6% (2) 24.3% (37)
High School Diploma 30.3% (110) 16.4% (25)
Less than High School 1.7% (6) 24.3% (37)
Bachelor's Degree and Higher 16.5% (60) 18.4% (28)

Education Levels Comparison: Glen elder vs Chunchula

  • In Chunchula, a larger percentage of residents lack formal schooling at 24.3% compared to 0.6% in Glen elder.
  • A higher percentage of residents in Glen elder hold a high school diploma at 30.3% compared to 16.4% in Chunchula.
  • The percentage of residents with less than a high school education is higher in Chunchula at 24.3%, compared to 1.7% in Glen elder.
  • In Chunchula, a larger share of residents have a bachelor's degree or higher at 18.4% compared to 16.5% in Glen elder.

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.