Demographics details for South holland, IL vs Cedar falls, IA

Population Overview

Compare main population characteristics in South holland, IL vs Cedar falls, IA.

Data South holland Cedar falls
Population 20,685 40,746
Median Age 42.6 years 28.0 years
Median Income $79,567 $71,011
Married Families 34.0% 36.0%
Poverty Level 10% 8%
Unemployment Rate 5.2 2.9

Population Comparison: South holland vs Cedar falls

  • The population in Cedar falls is higher at 40,746, compared to 20,685 in South holland.
  • Residents in South holland have a higher median age of 42.6 years compared to 28.0 years in Cedar falls.
  • South holland has a higher median income of $79,567 compared to $71,011 in Cedar falls.
  • In Cedar falls, the percentage of married families is higher at 36.0%, compared to 34.0% in South holland.
  • South holland has a higher poverty level at 10% compared to 8% in Cedar falls.
  • The unemployment rate in South holland is higher at 5.2%, compared to 2.9% in Cedar falls.

Demographics

Demographics South holland vs Cedar falls provide insight into the diversity of the communities to compare.

Demographic South holland Cedar falls
Black 83 1
White 8 90
Asian 1 4
Hispanic 5 3
Two or More Races 3 2
American Indian Data is updating Data is updating

Demographics Comparison: South holland vs Cedar falls

  • A higher percentage of Black residents are in South holland at 83% compared to 1% in Cedar falls.
  • The percentage of White residents is higher in Cedar falls at 90% compared to 8% in South holland.
  • In Cedar falls, the Asian population stands at 4%, greater than 1% in South holland.
  • The Hispanic community is larger in South holland at 5% compared to 3% in Cedar falls.
  • More residents identify as two or more races in South holland at 3% compared to 2% in Cedar falls.
  • The percentage of American Indian residents is the same in both South holland and Cedar falls at 0%.

Health Statistics

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

Health Metric South holland Cedar falls
Mental Health Not Good 14.8% 15.5%
Physical Health Not Good 10.9% 9.0%
Depression 15.1% 19.8%
Smoking 15.3% 14.9%
Binge Drinking 15.6% 22.2%
Obesity 37.3% 34.8%
Disability Percentage 13.0% 10.0%

Health Statistics Comparison: South holland vs Cedar falls

  • In Cedar falls, a higher percentage report poor mental health at 15.5% compared to 14.8% in South holland.
  • Higher depression rates are seen in Cedar falls at 19.8% versus 15.1% in South holland.
  • Smoking is more prevalent in South holland at 15.3% compared to 14.9% in Cedar falls.
  • More residents engage in binge drinking in Cedar falls at 22.2% compared to 15.6% in South holland.
  • Obesity rates are higher in South holland at 37.3% compared to 34.8% in Cedar falls.
  • Disability percentages are higher in South holland at 13.0% compared to 10.0% in Cedar falls.

Education Levels

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

Education Level South holland Cedar falls
No Schooling 0.5% (94) 0.1% (43)
High School Diploma 15.5% (3,210) 9.6% (3,893)
Less than High School 7.8% (1,623) 2.8% (1,147)
Bachelor's Degree and Higher 20.0% (4,142) 26.8% (10,913)

Education Levels Comparison: South holland vs Cedar falls

  • A higher percentage of residents in South holland have no formal schooling at 0.5% compared to 0.1% in Cedar falls.
  • A higher percentage of residents in South holland hold a high school diploma at 15.5% compared to 9.6% in Cedar falls.
  • More residents in South holland have less than a high school education at 7.8% compared to 2.8% in Cedar falls.
  • In Cedar falls, a larger share of residents have a bachelor's degree or higher at 26.8% compared to 20.0% in South holland.

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.