Demographics details for Peoria, AZ vs Chester springs, PA

Population Overview

Compare main population characteristics in Peoria, AZ vs Chester springs, PA.

Data Peoria Chester springs
Population 197,866 7,520
Median Age 41.4 years 42.0 years
Median Income $86,759 $120,000
Married Families 43.0% 75.0%
Poverty Level 8% 5%
Unemployment Rate 3.3 3.0

Population Comparison: Peoria vs Chester springs

  • In Peoria, the population is higher at 197,866, compared to 7,520 in Chester springs.
  • The median age in Chester springs is higher at 42.0 years, compared to 41.4 years in Peoria.
  • Chester springs has a higher median income of $120,000, compared to $86,759 in Peoria.
  • In Chester springs, the percentage of married families is higher at 75.0%, compared to 43.0% in Peoria.
  • Peoria has a higher poverty level at 8% compared to 5% in Chester springs.
  • The unemployment rate in Peoria is higher at 3.3%, compared to 3.0% in Chester springs.

Demographics

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

Demographic Peoria Chester springs
Black 3 1
White 60 94
Asian 5 2
Hispanic 21 2
Two or More Races 10 1
American Indian 1 Data is updating

Demographics Comparison: Peoria vs Chester springs

  • A higher percentage of Black residents are in Peoria at 3% compared to 1% in Chester springs.
  • The percentage of White residents is higher in Chester springs at 94% compared to 60% in Peoria.
  • The Asian population is larger in Peoria at 5% compared to 2% in Chester springs.
  • The Hispanic community is larger in Peoria at 21% compared to 2% in Chester springs.
  • More residents identify as two or more races in Peoria at 10% compared to 1% in Chester springs.
  • A greater percentage of American Indian residents live in Peoria at 1% compared to 0% in Chester springs.

Health Statistics

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

Health Metric Peoria Chester springs
Mental Health Not Good 16.6% Data is updating%
Physical Health Not Good 9.8% Data is updating%
Depression 19.9% Data is updating%
Smoking 13.5% Data is updating%
Binge Drinking 18.7% Data is updating%
Obesity 29.3% Data is updating%
Disability Percentage 12.0% Data is updating%

Health Statistics Comparison: Peoria vs Chester springs

  • More residents in Peoria report poor mental health at 16.6% compared to 0.0% in Chester springs.
  • Depression is more prevalent in Peoria at 19.9% compared to 0.0% in Chester springs.
  • Smoking is more prevalent in Peoria at 13.5% compared to 0.0% in Chester springs.
  • Binge drinking is more common in Peoria at 18.7% compared to 0.0% in Chester springs.
  • Obesity rates are higher in Peoria at 29.3% compared to 0.0% in Chester springs.
  • Disability percentages are higher in Peoria at 12.0% 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 Peoria Chester springs
No Schooling 1.1% (2,127) 0.0% (Data is updating)
High School Diploma 12.9% (25,582) 0.0% (Data is updating)
Less than High School 9.3% (18,494) 0.0% (Data is updating)
Bachelor's Degree and Higher 23.6% (46,719) 0.0% (Data is updating)

Education Levels Comparison: Peoria vs Chester springs

  • A higher percentage of residents in Peoria have no formal schooling at 1.1% compared to 0.0% in Chester springs.
  • A higher percentage of residents in Peoria hold a high school diploma at 12.9% compared to 0.0% in Chester springs.
  • More residents in Peoria have less than a high school education at 9.3% compared to 0.0% in Chester springs.
  • A higher percentage of residents in Peoria hold a bachelor's degree or higher at 23.6% 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.