Demographics details for Butler, PA vs Maple falls, WA

Population Overview

Compare main population characteristics in Butler, PA vs Maple falls, WA.

Data Butler Maple falls
Population 13,176 231
Median Age 38.2 years 61.4 years
Median Income $39,546 $32,226
Married Families 26.0% 49.0%
Poverty Level 12% Data is updating
Unemployment Rate 4.2 Data is updating

Population Comparison: Butler vs Maple falls

  • In Butler, the population is higher at 13,176, compared to 231 in Maple falls.
  • The median age in Maple falls is higher at 61.4 years, compared to 38.2 years in Butler.
  • Butler has a higher median income of $39,546 compared to $32,226 in Maple falls.
  • In Maple falls, the percentage of married families is higher at 49.0%, compared to 26.0% in Butler.
  • Butler has a higher poverty level at 12% compared to 0% in Maple falls.
  • The unemployment rate in Butler is higher at 4.2%, compared to 0.0% in Maple falls.

Demographics

Demographics Butler vs Maple falls provide insight into the diversity of the communities to compare.

Demographic Butler Maple falls
Black 3 Data is updating
White 88 94
Asian 1 Data is updating
Hispanic 3 6
Two or More Races 5 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Butler vs Maple falls

  • A higher percentage of Black residents are in Butler at 3% compared to 0% in Maple falls.
  • The percentage of White residents is higher in Maple falls at 94% compared to 88% in Butler.
  • The Asian population is larger in Butler at 1% compared to 0% in Maple falls.
  • Maple falls has a higher percentage of Hispanic residents at 6%, compared to 3% in Butler.
  • More residents identify as two or more races in Butler at 5% compared to 0% in Maple falls.
  • The percentage of American Indian residents is the same in both Butler and Maple falls at 0%.

Health Statistics

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

Health Metric Butler Maple falls
Mental Health Not Good 19.1% 19.5%
Physical Health Not Good 14.5% 13.3%
Depression 24.4% 31.8%
Smoking 24.6% 19.6%
Binge Drinking 17.4% 17.9%
Obesity 38.2% 28.1%
Disability Percentage 23.0% 68.0%

Health Statistics Comparison: Butler vs Maple falls

  • In Maple falls, a higher percentage report poor mental health at 19.5% compared to 19.1% in Butler.
  • Higher depression rates are seen in Maple falls at 31.8% versus 24.4% in Butler.
  • Smoking is more prevalent in Butler at 24.6% compared to 19.6% in Maple falls.
  • More residents engage in binge drinking in Maple falls at 17.9% compared to 17.4% in Butler.
  • Obesity rates are higher in Butler at 38.2% compared to 28.1% in Maple falls.
  • There is a higher percentage of disabled individuals in Maple falls at 68.0% compared to 23.0% in Butler.

Education Levels

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

Education Level Butler Maple falls
No Schooling 0.1% (14) 0.0% (Data is updating)
High School Diploma 23.6% (3,115) 40.7% (94)
Less than High School 9.3% (1,222) 0.0% (Data is updating)
Bachelor's Degree and Higher 15.6% (2,049) 8.7% (20)

Education Levels Comparison: Butler vs Maple falls

  • A higher percentage of residents in Butler have no formal schooling at 0.1% compared to 0.0% in Maple falls.
  • In Maple falls, the rate of residents with high school diplomas is higher at 40.7% compared to 23.6% in Butler.
  • More residents in Butler have less than a high school education at 9.3% compared to 0.0% in Maple falls.
  • A higher percentage of residents in Butler hold a bachelor's degree or higher at 15.6% compared to 8.7% in Maple falls.

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.