Demographics details for Waterman, IL vs Gwynedd valley, PA

Population Overview

Compare main population characteristics in Waterman, IL vs Gwynedd valley, PA.

Data Waterman Gwynedd valley
Population 1,427 1,418
Median Age 36.2 years 48.0 years
Median Income $87,292 $112,500
Married Families 50.0% 64.0%
Poverty Level 6% 3%
Unemployment Rate 4.1 4.7

Population Comparison: Waterman vs Gwynedd valley

  • In Waterman, the population is higher at 1,427, compared to 1,418 in Gwynedd valley.
  • The median age in Gwynedd valley is higher at 48.0 years, compared to 36.2 years in Waterman.
  • Gwynedd valley has a higher median income of $112,500, compared to $87,292 in Waterman.
  • In Gwynedd valley, the percentage of married families is higher at 64.0%, compared to 50.0% in Waterman.
  • Waterman has a higher poverty level at 6% compared to 3% in Gwynedd valley.
  • Gwynedd valley has a higher unemployment rate at 4.7% compared to 4.1% in Waterman.

Demographics

Demographics Waterman vs Gwynedd valley provide insight into the diversity of the communities to compare.

Demographic Waterman Gwynedd valley
Black 2 1
White 78 93
Asian 1 3
Hispanic 10 2
Two or More Races 9 1
American Indian Data is updating Data is updating

Demographics Comparison: Waterman vs Gwynedd valley

  • A higher percentage of Black residents are in Waterman at 2% compared to 1% in Gwynedd valley.
  • The percentage of White residents is higher in Gwynedd valley at 93% compared to 78% in Waterman.
  • In Gwynedd valley, the Asian population stands at 3%, greater than 1% in Waterman.
  • The Hispanic community is larger in Waterman at 10% compared to 2% in Gwynedd valley.
  • More residents identify as two or more races in Waterman at 9% compared to 1% in Gwynedd valley.
  • The percentage of American Indian residents is the same in both Waterman and Gwynedd valley at 0%.

Health Statistics

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

Health Metric Waterman Gwynedd valley
Mental Health Not Good 16.0% Data is updating%
Physical Health Not Good 10.4% Data is updating%
Depression 21.6% Data is updating%
Smoking 16.2% Data is updating%
Binge Drinking 18.7% Data is updating%
Obesity 36.4% Data is updating%
Disability Percentage 10.0% Data is updating%

Health Statistics Comparison: Waterman vs Gwynedd valley

  • More residents in Waterman report poor mental health at 16.0% compared to 0.0% in Gwynedd valley.
  • Depression is more prevalent in Waterman at 21.6% compared to 0.0% in Gwynedd valley.
  • Smoking is more prevalent in Waterman at 16.2% compared to 0.0% in Gwynedd valley.
  • Binge drinking is more common in Waterman at 18.7% compared to 0.0% in Gwynedd valley.
  • Obesity rates are higher in Waterman at 36.4% compared to 0.0% in Gwynedd valley.
  • Disability percentages are higher in Waterman at 10.0% compared to 0.0% in Gwynedd valley.

Education Levels

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

Education Level Waterman Gwynedd valley
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 22.6% (323) 0.0% (Data is updating)
Less than High School 8.5% (122) 0.0% (Data is updating)
Bachelor's Degree and Higher 15.5% (221) 0.0% (Data is updating)

Education Levels Comparison: Waterman vs Gwynedd valley

  • The percentage of residents with no formal schooling is the same in both Waterman and Gwynedd valley at 0.0%.
  • A higher percentage of residents in Waterman hold a high school diploma at 22.6% compared to 0.0% in Gwynedd valley.
  • More residents in Waterman have less than a high school education at 8.5% compared to 0.0% in Gwynedd valley.
  • A higher percentage of residents in Waterman hold a bachelor's degree or higher at 15.5% compared to 0.0% in Gwynedd valley.

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.