Demographics details for Spring valley, IL vs New london, CT

Population Overview

Compare main population characteristics in Spring valley, IL vs New london, CT.

Data Spring valley New london
Population 5,461 27,980
Median Age 43.4 years 35.5 years
Median Income $60,861 $56,237
Married Families 40.0% 24.0%
Poverty Level 14% 12%
Unemployment Rate 5.1 3.6

Population Comparison: Spring valley vs New london

  • The population in New london is higher at 27,980, compared to 5,461 in Spring valley.
  • Residents in Spring valley have a higher median age of 43.4 years compared to 35.5 years in New london.
  • Spring valley has a higher median income of $60,861 compared to $56,237 in New london.
  • A higher percentage of married families is found in Spring valley at 40.0% compared to 24.0% in New london.
  • Spring valley has a higher poverty level at 14% compared to 12% in New london.
  • The unemployment rate in Spring valley is higher at 5.1%, compared to 3.6% in New london.

Demographics

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

Demographic Spring valley New london
Black 2 17
White 72 41
Asian Data is updating 2
Hispanic 23 29
Two or More Races 3 11
American Indian Data is updating Data is updating

Demographics Comparison: Spring valley vs New london

  • In New london, the percentage of Black residents is higher at 17% compared to 2% in Spring valley.
  • Spring valley has a higher percentage of White residents at 72% compared to 41% in New london.
  • In New london, the Asian population stands at 2%, greater than 0% in Spring valley.
  • New london has a higher percentage of Hispanic residents at 29%, compared to 23% in Spring valley.
  • The percentage of residents identifying as two or more races is higher in New london at 11%, compared to 3% in Spring valley.
  • The percentage of American Indian residents is the same in both Spring valley and New london at 0%.

Health Statistics

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

Health Metric Spring valley New london
Mental Health Not Good 16.6% 17.9%
Physical Health Not Good 11.5% 12.5%
Depression 22.1% 23.3%
Smoking 17.9% 19.5%
Binge Drinking 17.7% 15.2%
Obesity 37.6% 37.1%
Disability Percentage 17.0% 14.0%

Health Statistics Comparison: Spring valley vs New london

  • In New london, a higher percentage report poor mental health at 17.9% compared to 16.6% in Spring valley.
  • Higher depression rates are seen in New london at 23.3% versus 22.1% in Spring valley.
  • New london has a higher smoking rate at 19.5% compared to 17.9% in Spring valley.
  • Binge drinking is more common in Spring valley at 17.7% compared to 15.2% in New london.
  • Obesity rates are higher in Spring valley at 37.6% compared to 37.1% in New london.
  • Disability percentages are higher in Spring valley at 17.0% compared to 14.0% in New london.

Education Levels

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

Education Level Spring valley New london
No Schooling 1.6% (85) 1.4% (399)
High School Diploma 20.0% (1,092) 16.0% (4,487)
Less than High School 17.8% (970) 13.7% (3,830)
Bachelor's Degree and Higher 12.3% (669) 16.9% (4,738)

Education Levels Comparison: Spring valley vs New london

  • A higher percentage of residents in Spring valley have no formal schooling at 1.6% compared to 1.4% in New london.
  • A higher percentage of residents in Spring valley hold a high school diploma at 20.0% compared to 16.0% in New london.
  • More residents in Spring valley have less than a high school education at 17.8% compared to 13.7% in New london.
  • In New london, a larger share of residents have a bachelor's degree or higher at 16.9% compared to 12.3% in Spring valley.

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.