Demographics details for Corona, CA vs Chester springs, PA

Population Overview

Compare main population characteristics in Corona, CA vs Chester springs, PA.

Data Corona Chester springs
Population 159,567 7,520
Median Age 35.9 years 42.0 years
Median Income $103,727 $120,000
Married Families 40.0% 75.0%
Poverty Level 11% 5%
Unemployment Rate 4.1 3.0

Population Comparison: Corona vs Chester springs

  • In Corona, the population is higher at 159,567, compared to 7,520 in Chester springs.
  • The median age in Chester springs is higher at 42.0 years, compared to 35.9 years in Corona.
  • Chester springs has a higher median income of $120,000, compared to $103,727 in Corona.
  • In Chester springs, the percentage of married families is higher at 75.0%, compared to 40.0% in Corona.
  • Corona has a higher poverty level at 11% compared to 5% in Chester springs.
  • The unemployment rate in Corona is higher at 4.1%, compared to 3.0% in Chester springs.

Demographics

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

Demographic Corona Chester springs
Black 6 1
White 21 94
Asian 11 2
Hispanic 48 2
Two or More Races 13 1
American Indian 1 Data is updating

Demographics Comparison: Corona vs Chester springs

  • A higher percentage of Black residents are in Corona at 6% compared to 1% in Chester springs.
  • The percentage of White residents is higher in Chester springs at 94% compared to 21% in Corona.
  • The Asian population is larger in Corona at 11% compared to 2% in Chester springs.
  • The Hispanic community is larger in Corona at 48% compared to 2% in Chester springs.
  • More residents identify as two or more races in Corona at 13% compared to 1% in Chester springs.
  • A greater percentage of American Indian residents live in Corona at 1% compared to 0% in Chester springs.

Health Statistics

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

Health Metric Corona Chester springs
Mental Health Not Good 15.1% Data is updating%
Physical Health Not Good 10.6% Data is updating%
Depression 16.6% Data is updating%
Smoking 11.8% Data is updating%
Binge Drinking 16.7% Data is updating%
Obesity 34.1% Data is updating%
Disability Percentage 7.0% Data is updating%

Health Statistics Comparison: Corona vs Chester springs

  • More residents in Corona report poor mental health at 15.1% compared to 0.0% in Chester springs.
  • Depression is more prevalent in Corona at 16.6% compared to 0.0% in Chester springs.
  • Smoking is more prevalent in Corona at 11.8% compared to 0.0% in Chester springs.
  • Binge drinking is more common in Corona at 16.7% compared to 0.0% in Chester springs.
  • Obesity rates are higher in Corona at 34.1% compared to 0.0% in Chester springs.
  • Disability percentages are higher in Corona at 7.0% 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 Corona Chester springs
No Schooling 1.9% (3,102) 0.0% (Data is updating)
High School Diploma 14.3% (22,788) 0.0% (Data is updating)
Less than High School 17.4% (27,748) 0.0% (Data is updating)
Bachelor's Degree and Higher 19.6% (31,335) 0.0% (Data is updating)

Education Levels Comparison: Corona vs Chester springs

  • A higher percentage of residents in Corona have no formal schooling at 1.9% compared to 0.0% in Chester springs.
  • A higher percentage of residents in Corona hold a high school diploma at 14.3% compared to 0.0% in Chester springs.
  • More residents in Corona have less than a high school education at 17.4% compared to 0.0% in Chester springs.
  • A higher percentage of residents in Corona hold a bachelor's degree or higher at 19.6% 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.