Demographics details for Santa ana, CA vs Chester springs, PA

Population Overview

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

Data Santa ana Chester springs
Population 308,189 7,520
Median Age 33.4 years 42.0 years
Median Income $84,210 $120,000
Married Families 35.0% 75.0%
Poverty Level 14% 5%
Unemployment Rate 4.1 3.0

Population Comparison: Santa ana vs Chester springs

  • In Santa ana, the population is higher at 308,189, compared to 7,520 in Chester springs.
  • The median age in Chester springs is higher at 42.0 years, compared to 33.4 years in Santa ana.
  • Chester springs has a higher median income of $120,000, compared to $84,210 in Santa ana.
  • In Chester springs, the percentage of married families is higher at 75.0%, compared to 35.0% in Santa ana.
  • Santa ana has a higher poverty level at 14% compared to 5% in Chester springs.
  • The unemployment rate in Santa ana is higher at 4.1%, compared to 3.0% in Chester springs.

Demographics

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

Demographic Santa ana Chester springs
Black 1 1
White -5 94
Asian 12 2
Hispanic 78 2
Two or More Races 13 1
American Indian 1 Data is updating

Demographics Comparison: Santa ana vs Chester springs

  • The percentage of Black residents is the same in both Santa ana and Chester springs at 1%.
  • The percentage of White residents is higher in Chester springs at 94% compared to -5% in Santa ana.
  • The Asian population is larger in Santa ana at 12% compared to 2% in Chester springs.
  • The Hispanic community is larger in Santa ana at 78% compared to 2% in Chester springs.
  • More residents identify as two or more races in Santa ana at 13% compared to 1% in Chester springs.
  • A greater percentage of American Indian residents live in Santa ana at 1% compared to 0% in Chester springs.

Health Statistics

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

Health Metric Santa ana Chester springs
Mental Health Not Good 16.4% Data is updating%
Physical Health Not Good 13.8% Data is updating%
Depression 17.2% Data is updating%
Smoking 13.4% Data is updating%
Binge Drinking 14.6% Data is updating%
Obesity 31.6% Data is updating%
Disability Percentage 8.0% Data is updating%

Health Statistics Comparison: Santa ana vs Chester springs

  • More residents in Santa ana report poor mental health at 16.4% compared to 0.0% in Chester springs.
  • Depression is more prevalent in Santa ana at 17.2% compared to 0.0% in Chester springs.
  • Smoking is more prevalent in Santa ana at 13.4% compared to 0.0% in Chester springs.
  • Binge drinking is more common in Santa ana at 14.6% compared to 0.0% in Chester springs.
  • Obesity rates are higher in Santa ana at 31.6% compared to 0.0% in Chester springs.
  • Disability percentages are higher in Santa ana at 8.0% 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 Santa ana Chester springs
No Schooling 5.1% (15,819) 0.0% (Data is updating)
High School Diploma 14.7% (45,332) 0.0% (Data is updating)
Less than High School 42.9% (132,303) 0.0% (Data is updating)
Bachelor's Degree and Higher 11.6% (35,860) 0.0% (Data is updating)

Education Levels Comparison: Santa ana vs Chester springs

  • A higher percentage of residents in Santa ana have no formal schooling at 5.1% compared to 0.0% in Chester springs.
  • A higher percentage of residents in Santa ana hold a high school diploma at 14.7% compared to 0.0% in Chester springs.
  • More residents in Santa ana have less than a high school education at 42.9% compared to 0.0% in Chester springs.
  • A higher percentage of residents in Santa ana hold a bachelor's degree or higher at 11.6% 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.