Demographics details for Atoka, OK vs Chester springs, PA

Population Overview

Compare main population characteristics in Atoka, OK vs Chester springs, PA.

Data Atoka Chester springs
Population 3,200 7,520
Median Age 37.5 years 42.0 years
Median Income $40,362 $120,000
Married Families 32.0% 75.0%
Poverty Level 20% 5%
Unemployment Rate 4.5 3.0

Population Comparison: Atoka vs Chester springs

  • The population in Chester springs is higher at 7,520, compared to 3,200 in Atoka.
  • The median age in Chester springs is higher at 42.0 years, compared to 37.5 years in Atoka.
  • Chester springs has a higher median income of $120,000, compared to $40,362 in Atoka.
  • In Chester springs, the percentage of married families is higher at 75.0%, compared to 32.0% in Atoka.
  • Atoka has a higher poverty level at 20% compared to 5% in Chester springs.
  • The unemployment rate in Atoka is higher at 4.5%, compared to 3.0% in Chester springs.

Demographics

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

Demographic Atoka Chester springs
Black 4 1
White 55 94
Asian 3 2
Hispanic 7 2
Two or More Races 17 1
American Indian 14 Data is updating

Demographics Comparison: Atoka vs Chester springs

  • A higher percentage of Black residents are in Atoka at 4% compared to 1% in Chester springs.
  • The percentage of White residents is higher in Chester springs at 94% compared to 55% in Atoka.
  • The Asian population is larger in Atoka at 3% compared to 2% in Chester springs.
  • The Hispanic community is larger in Atoka at 7% compared to 2% in Chester springs.
  • More residents identify as two or more races in Atoka at 17% compared to 1% in Chester springs.
  • A greater percentage of American Indian residents live in Atoka at 14% compared to 0% in Chester springs.

Health Statistics

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

Health Metric Atoka Chester springs
Mental Health Not Good 22.1% Data is updating%
Physical Health Not Good 16.7% Data is updating%
Depression 27.8% Data is updating%
Smoking 27.8% Data is updating%
Binge Drinking 12.8% Data is updating%
Obesity 43.5% Data is updating%
Disability Percentage 25.0% Data is updating%

Health Statistics Comparison: Atoka vs Chester springs

  • More residents in Atoka report poor mental health at 22.1% compared to 0.0% in Chester springs.
  • Depression is more prevalent in Atoka at 27.8% compared to 0.0% in Chester springs.
  • Smoking is more prevalent in Atoka at 27.8% compared to 0.0% in Chester springs.
  • Binge drinking is more common in Atoka at 12.8% compared to 0.0% in Chester springs.
  • Obesity rates are higher in Atoka at 43.5% compared to 0.0% in Chester springs.
  • Disability percentages are higher in Atoka at 25.0% 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 Atoka Chester springs
No Schooling 1.2% (39) 0.0% (Data is updating)
High School Diploma 19.5% (623) 0.0% (Data is updating)
Less than High School 24.2% (776) 0.0% (Data is updating)
Bachelor's Degree and Higher 9.1% (291) 0.0% (Data is updating)

Education Levels Comparison: Atoka vs Chester springs

  • A higher percentage of residents in Atoka have no formal schooling at 1.2% compared to 0.0% in Chester springs.
  • A higher percentage of residents in Atoka hold a high school diploma at 19.5% compared to 0.0% in Chester springs.
  • More residents in Atoka have less than a high school education at 24.2% compared to 0.0% in Chester springs.
  • A higher percentage of residents in Atoka hold a bachelor's degree or higher at 9.1% 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.