Demographics details for Crystal lake, IL vs Spring city, PA

Population Overview

Compare main population characteristics in Crystal lake, IL vs Spring city, PA.

Data Crystal lake Spring city
Population 40,661 3,495
Median Age 39.9 years 36.7 years
Median Income $103,018 $70,181
Married Families 46.0% 30.0%
Poverty Level 5% 5%
Unemployment Rate 5.4 2.5

Population Comparison: Crystal lake vs Spring city

  • In Crystal lake, the population is higher at 40,661, compared to 3,495 in Spring city.
  • Residents in Crystal lake have a higher median age of 39.9 years compared to 36.7 years in Spring city.
  • Crystal lake has a higher median income of $103,018 compared to $70,181 in Spring city.
  • A higher percentage of married families is found in Crystal lake at 46.0% compared to 30.0% in Spring city.
  • The poverty level is identical in both Crystal lake and Spring city at 5%.
  • The unemployment rate in Crystal lake is higher at 5.4%, compared to 2.5% in Spring city.

Demographics

Demographics Crystal lake vs Spring city provide insight into the diversity of the communities to compare.

Demographic Crystal lake Spring city
Black 1 4
White 79 85
Asian 4 2
Hispanic 11 6
Two or More Races 5 3
American Indian Data is updating Data is updating

Demographics Comparison: Crystal lake vs Spring city

  • In Spring city, the percentage of Black residents is higher at 4% compared to 1% in Crystal lake.
  • The percentage of White residents is higher in Spring city at 85% compared to 79% in Crystal lake.
  • The Asian population is larger in Crystal lake at 4% compared to 2% in Spring city.
  • The Hispanic community is larger in Crystal lake at 11% compared to 6% in Spring city.
  • More residents identify as two or more races in Crystal lake at 5% compared to 3% in Spring city.
  • The percentage of American Indian residents is the same in both Crystal lake and Spring city at 0%.

Health Statistics

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

Health Metric Crystal lake Spring city
Mental Health Not Good 14.0% 15.8%
Physical Health Not Good 8.9% 10.8%
Depression 19.6% 23.0%
Smoking 12.3% 16.9%
Binge Drinking 18.9% 18.9%
Obesity 29.5% 34.8%
Disability Percentage 9.0% 20.0%

Health Statistics Comparison: Crystal lake vs Spring city

  • In Spring city, a higher percentage report poor mental health at 15.8% compared to 14.0% in Crystal lake.
  • Higher depression rates are seen in Spring city at 23.0% versus 19.6% in Crystal lake.
  • Spring city has a higher smoking rate at 16.9% compared to 12.3% in Crystal lake.
  • Binge drinking rates are similar in both Crystal lake and Spring city at 18.9%.
  • Spring city has higher obesity rates at 34.8% compared to 29.5% in Crystal lake.
  • There is a higher percentage of disabled individuals in Spring city at 20.0% compared to 9.0% in Crystal lake.

Education Levels

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

Education Level Crystal lake Spring city
No Schooling 0.2% (95) 1.0% (34)
High School Diploma 13.8% (5,614) 17.5% (613)
Less than High School 5.8% (2,362) 8.8% (309)
Bachelor's Degree and Higher 27.1% (11,028) 28.0% (980)

Education Levels Comparison: Crystal lake vs Spring city

  • In Spring city, a larger percentage of residents lack formal schooling at 1.0% compared to 0.2% in Crystal lake.
  • In Spring city, the rate of residents with high school diplomas is higher at 17.5% compared to 13.8% in Crystal lake.
  • The percentage of residents with less than a high school education is higher in Spring city at 8.8%, compared to 5.8% in Crystal lake.
  • In Spring city, a larger share of residents have a bachelor's degree or higher at 28.0% compared to 27.1% in Crystal lake.

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.