Demographics details for East berlin, PA vs Fountain run, KY

Population Overview

Compare main population characteristics in East berlin, PA vs Fountain run, KY.

Data East berlin Fountain run
Population 1,554 221
Median Age 41.9 years 49.1 years
Median Income $68,628 $38,750
Married Families 47.0% 62.0%
Poverty Level 5% 12%
Unemployment Rate 4.5 3.2

Population Comparison: East berlin vs Fountain run

  • In East berlin, the population is higher at 1,554, compared to 221 in Fountain run.
  • The median age in Fountain run is higher at 49.1 years, compared to 41.9 years in East berlin.
  • East berlin has a higher median income of $68,628 compared to $38,750 in Fountain run.
  • In Fountain run, the percentage of married families is higher at 62.0%, compared to 47.0% in East berlin.
  • The poverty level is higher in Fountain run at 12%, compared to 5% in East berlin.
  • The unemployment rate in East berlin is higher at 4.5%, compared to 3.2% in Fountain run.

Demographics

Demographics East berlin vs Fountain run provide insight into the diversity of the communities to compare.

Demographic East berlin Fountain run
Black Data is updating 1
White 92 99
Asian Data is updating Data is updating
Hispanic 5 Data is updating
Two or More Races 3 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: East berlin vs Fountain run

  • In Fountain run, the percentage of Black residents is higher at 1% compared to 0% in East berlin.
  • The percentage of White residents is higher in Fountain run at 99% compared to 92% in East berlin.
  • Both East berlin and Fountain run have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in East berlin at 5% compared to 0% in Fountain run.
  • More residents identify as two or more races in East berlin at 3% compared to 0% in Fountain run.
  • The percentage of American Indian residents is the same in both East berlin and Fountain run at 0%.

Health Statistics

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

Health Metric East berlin Fountain run
Mental Health Not Good 16.9% 22.1%
Physical Health Not Good 11.1% 17.4%
Depression 24.1% 30.6%
Smoking 18.8% 29.1%
Binge Drinking 19.2% 14.2%
Obesity 36.9% 41.1%
Disability Percentage 12.0% 24.0%

Health Statistics Comparison: East berlin vs Fountain run

  • In Fountain run, a higher percentage report poor mental health at 22.1% compared to 16.9% in East berlin.
  • Higher depression rates are seen in Fountain run at 30.6% versus 24.1% in East berlin.
  • Fountain run has a higher smoking rate at 29.1% compared to 18.8% in East berlin.
  • Binge drinking is more common in East berlin at 19.2% compared to 14.2% in Fountain run.
  • Fountain run has higher obesity rates at 41.1% compared to 36.9% in East berlin.
  • There is a higher percentage of disabled individuals in Fountain run at 24.0% compared to 12.0% in East berlin.

Education Levels

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

Education Level East berlin Fountain run
No Schooling 2.1% (32) 1.8% (4)
High School Diploma 26.2% (407) 42.1% (93)
Less than High School 16.5% (257) 48.9% (108)
Bachelor's Degree and Higher 17.5% (272) 10.9% (24)

Education Levels Comparison: East berlin vs Fountain run

  • A higher percentage of residents in East berlin have no formal schooling at 2.1% compared to 1.8% in Fountain run.
  • In Fountain run, the rate of residents with high school diplomas is higher at 42.1% compared to 26.2% in East berlin.
  • The percentage of residents with less than a high school education is higher in Fountain run at 48.9%, compared to 16.5% in East berlin.
  • A higher percentage of residents in East berlin hold a bachelor's degree or higher at 17.5% compared to 10.9% in Fountain run.

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.