Demographics details for Spring valley, IL vs Gillette, NJ

Population Overview

Compare main population characteristics in Spring valley, IL vs Gillette, NJ.

Data Spring valley Gillette
Population 5,461 3,251
Median Age 43.4 years 41.0 years
Median Income $60,861 $145,000
Married Families 40.0% 62.0%
Poverty Level 14% 2%
Unemployment Rate 5.1 3.0

Population Comparison: Spring valley vs Gillette

  • In Spring valley, the population is higher at 5,461, compared to 3,251 in Gillette.
  • Residents in Spring valley have a higher median age of 43.4 years compared to 41.0 years in Gillette.
  • Gillette has a higher median income of $145,000, compared to $60,861 in Spring valley.
  • In Gillette, the percentage of married families is higher at 62.0%, compared to 40.0% in Spring valley.
  • Spring valley has a higher poverty level at 14% compared to 2% in Gillette.
  • The unemployment rate in Spring valley is higher at 5.1%, compared to 3.0% in Gillette.

Demographics

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

Demographic Spring valley Gillette
Black 2 1
White 72 90
Asian Data is updating 4
Hispanic 23 2
Two or More Races 3 3
American Indian Data is updating Data is updating

Demographics Comparison: Spring valley vs Gillette

  • A higher percentage of Black residents are in Spring valley at 2% compared to 1% in Gillette.
  • The percentage of White residents is higher in Gillette at 90% compared to 72% in Spring valley.
  • In Gillette, the Asian population stands at 4%, greater than 0% in Spring valley.
  • The Hispanic community is larger in Spring valley at 23% compared to 2% in Gillette.
  • Both Spring valley and Gillette have the same percentage of residents identifying as two or more races at 3%.
  • The percentage of American Indian residents is the same in both Spring valley and Gillette at 0%.

Health Statistics

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

Health Metric Spring valley Gillette
Mental Health Not Good 16.6% Data is updating%
Physical Health Not Good 11.5% Data is updating%
Depression 22.1% Data is updating%
Smoking 17.9% Data is updating%
Binge Drinking 17.7% Data is updating%
Obesity 37.6% Data is updating%
Disability Percentage 17.0% Data is updating%

Health Statistics Comparison: Spring valley vs Gillette

  • More residents in Spring valley report poor mental health at 16.6% compared to 0.0% in Gillette.
  • Depression is more prevalent in Spring valley at 22.1% compared to 0.0% in Gillette.
  • Smoking is more prevalent in Spring valley at 17.9% compared to 0.0% in Gillette.
  • Binge drinking is more common in Spring valley at 17.7% compared to 0.0% in Gillette.
  • Obesity rates are higher in Spring valley at 37.6% compared to 0.0% in Gillette.
  • Disability percentages are higher in Spring valley at 17.0% compared to 0.0% in Gillette.

Education Levels

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

Education Level Spring valley Gillette
No Schooling 1.6% (85) 0.0% (Data is updating)
High School Diploma 20.0% (1,092) 0.0% (Data is updating)
Less than High School 17.8% (970) 0.0% (Data is updating)
Bachelor's Degree and Higher 12.3% (669) 0.0% (Data is updating)

Education Levels Comparison: Spring valley vs Gillette

  • A higher percentage of residents in Spring valley have no formal schooling at 1.6% compared to 0.0% in Gillette.
  • A higher percentage of residents in Spring valley hold a high school diploma at 20.0% compared to 0.0% in Gillette.
  • More residents in Spring valley have less than a high school education at 17.8% compared to 0.0% in Gillette.
  • A higher percentage of residents in Spring valley hold a bachelor's degree or higher at 12.3% compared to 0.0% in Gillette.

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.