Demographics details for Spring valley, NY vs Chester, CT

Population Overview

Compare main population characteristics in Spring valley, NY vs Chester, CT.

Data Spring valley Chester
Population 32,884 3,994
Median Age 27.5 years 43.0 years
Median Income $50,749 $102,500
Married Families 32.0% 64.0%
Poverty Level 10% 5%
Unemployment Rate 3.2 2.1

Population Comparison: Spring valley vs Chester

  • In Spring valley, the population is higher at 32,884, compared to 3,994 in Chester.
  • The median age in Chester is higher at 43.0 years, compared to 27.5 years in Spring valley.
  • Chester has a higher median income of $102,500, compared to $50,749 in Spring valley.
  • In Chester, the percentage of married families is higher at 64.0%, compared to 32.0% in Spring valley.
  • Spring valley has a higher poverty level at 10% compared to 5% in Chester.
  • The unemployment rate in Spring valley is higher at 3.2%, compared to 2.1% in Chester.

Demographics

Demographics Spring valley vs Chester provide insight into the diversity of the communities to compare.

Demographic Spring valley Chester
Black 32 1
White 31 87
Asian 3 Data is updating
Hispanic 29 5
Two or More Races 5 3
American Indian Data is updating Data is updating

Demographics Comparison: Spring valley vs Chester

  • A higher percentage of Black residents are in Spring valley at 32% compared to 1% in Chester.
  • The percentage of White residents is higher in Chester at 87% compared to 31% in Spring valley.
  • The Asian population is larger in Spring valley at 3% compared to 0% in Chester.
  • The Hispanic community is larger in Spring valley at 29% compared to 5% in Chester.
  • More residents identify as two or more races in Spring valley at 5% compared to 3% in Chester.
  • The percentage of American Indian residents is the same in both Spring valley and Chester at 0%.

Health Statistics

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

Health Metric Spring valley Chester
Mental Health Not Good 16.7% Data is updating%
Physical Health Not Good 13.9% Data is updating%
Depression 18.7% Data is updating%
Smoking 22.3% Data is updating%
Binge Drinking 12.6% Data is updating%
Obesity 34.3% Data is updating%
Disability Percentage 8.0% Data is updating%

Health Statistics Comparison: Spring valley vs Chester

  • More residents in Spring valley report poor mental health at 16.7% compared to 0.0% in Chester.
  • Depression is more prevalent in Spring valley at 18.7% compared to 0.0% in Chester.
  • Smoking is more prevalent in Spring valley at 22.3% compared to 0.0% in Chester.
  • Binge drinking is more common in Spring valley at 12.6% compared to 0.0% in Chester.
  • Obesity rates are higher in Spring valley at 34.3% compared to 0.0% in Chester.
  • Disability percentages are higher in Spring valley at 8.0% compared to 0.0% in Chester.

Education Levels

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

Education Level Spring valley Chester
No Schooling 3.7% (1,224) 0.0% (Data is updating)
High School Diploma 13.1% (4,315) 0.0% (Data is updating)
Less than High School 20.5% (6,742) 0.0% (Data is updating)
Bachelor's Degree and Higher 10.0% (3,273) 0.0% (Data is updating)

Education Levels Comparison: Spring valley vs Chester

  • A higher percentage of residents in Spring valley have no formal schooling at 3.7% compared to 0.0% in Chester.
  • A higher percentage of residents in Spring valley hold a high school diploma at 13.1% compared to 0.0% in Chester.
  • More residents in Spring valley have less than a high school education at 20.5% compared to 0.0% in Chester.
  • A higher percentage of residents in Spring valley hold a bachelor's degree or higher at 10.0% compared to 0.0% in Chester.

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.