Demographics details for Chester springs, PA vs Butler, MO

Population Overview

Compare main population characteristics in Chester springs, PA vs Butler, MO.

Data Chester springs Butler
Population 7,520 4,246
Median Age 42.0 years 36.7 years
Median Income $120,000 $33,548
Married Families 75.0% 35.0%
Poverty Level 5% 14%
Unemployment Rate 3.0 4.3

Population Comparison: Chester springs vs Butler

  • In Chester springs, the population is higher at 7,520, compared to 4,246 in Butler.
  • Residents in Chester springs have a higher median age of 42.0 years compared to 36.7 years in Butler.
  • Chester springs has a higher median income of $120,000 compared to $33,548 in Butler.
  • A higher percentage of married families is found in Chester springs at 75.0% compared to 35.0% in Butler.
  • The poverty level is higher in Butler at 14%, compared to 5% in Chester springs.
  • Butler has a higher unemployment rate at 4.3% compared to 3.0% in Chester springs.

Demographics

Demographics Chester springs vs Butler provide insight into the diversity of the communities to compare.

Demographic Chester springs Butler
Black 1 6
White 94 89
Asian 2 1
Hispanic 2 1
Two or More Races 1 3
American Indian Data is updating Data is updating

Demographics Comparison: Chester springs vs Butler

  • In Butler, the percentage of Black residents is higher at 6% compared to 1% in Chester springs.
  • Chester springs has a higher percentage of White residents at 94% compared to 89% in Butler.
  • The Asian population is larger in Chester springs at 2% compared to 1% in Butler.
  • The Hispanic community is larger in Chester springs at 2% compared to 1% in Butler.
  • The percentage of residents identifying as two or more races is higher in Butler at 3%, compared to 1% in Chester springs.
  • The percentage of American Indian residents is the same in both Chester springs and Butler at 0%.

Health Statistics

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

Health Metric Chester springs Butler
Mental Health Not Good Data is updating% 20.0%
Physical Health Not Good Data is updating% 15.0%
Depression Data is updating% 27.0%
Smoking Data is updating% 26.2%
Binge Drinking Data is updating% 16.4%
Obesity Data is updating% 42.8%
Disability Percentage Data is updating% 21.0%

Health Statistics Comparison: Chester springs vs Butler

  • In Butler, a higher percentage report poor mental health at 20.0% compared to 0.0% in Chester springs.
  • Higher depression rates are seen in Butler at 27.0% versus 0.0% in Chester springs.
  • Butler has a higher smoking rate at 26.2% compared to 0.0% in Chester springs.
  • More residents engage in binge drinking in Butler at 16.4% compared to 0.0% in Chester springs.
  • Butler has higher obesity rates at 42.8% compared to 0.0% in Chester springs.
  • There is a higher percentage of disabled individuals in Butler at 21.0% compared to 0.0% in Chester springs.

Education Levels

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

Education Level Chester springs Butler
No Schooling 0.0% (Data is updating) 0.7% (31)
High School Diploma 0.0% (Data is updating) 37.8% (1,605)
Less than High School 0.0% (Data is updating) 11.9% (505)
Bachelor's Degree and Higher 0.0% (Data is updating) 7.8% (330)

Education Levels Comparison: Chester springs vs Butler

  • In Butler, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Chester springs.
  • In Butler, the rate of residents with high school diplomas is higher at 37.8% compared to 0.0% in Chester springs.
  • The percentage of residents with less than a high school education is higher in Butler at 11.9%, compared to 0.0% in Chester springs.
  • In Butler, a larger share of residents have a bachelor's degree or higher at 7.8% compared to 0.0% in Chester springs.

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.