Demographics details for South amana, IA vs Addison, IL

Population Overview

Compare main population characteristics in South amana, IA vs Addison, IL.

Data South amana Addison
Population 151 35,127
Median Age 39.8 years 40.1 years
Median Income $62,938 $82,547
Married Families 66.0% 43.0%
Poverty Level Data is updating 5%
Unemployment Rate 2.5 5.6

Population Comparison: South amana vs Addison

  • The population in Addison is higher at 35,127, compared to 151 in South amana.
  • The median age in Addison is higher at 40.1 years, compared to 39.8 years in South amana.
  • Addison has a higher median income of $82,547, compared to $62,938 in South amana.
  • A higher percentage of married families is found in South amana at 66.0% compared to 43.0% in Addison.
  • The poverty level is higher in Addison at 5%, compared to 0% in South amana.
  • Addison has a higher unemployment rate at 5.6% compared to 2.5% in South amana.

Demographics

Demographics South amana vs Addison provide insight into the diversity of the communities to compare.

Demographic South amana Addison
Black Data is updating 4
White 100 32
Asian Data is updating 9
Hispanic Data is updating 42
Two or More Races Data is updating 12
American Indian Data is updating 1

Demographics Comparison: South amana vs Addison

  • In Addison, the percentage of Black residents is higher at 4% compared to 0% in South amana.
  • South amana has a higher percentage of White residents at 100% compared to 32% in Addison.
  • In Addison, the Asian population stands at 9%, greater than 0% in South amana.
  • Addison has a higher percentage of Hispanic residents at 42%, compared to 0% in South amana.
  • The percentage of residents identifying as two or more races is higher in Addison at 12%, compared to 0% in South amana.
  • In Addison, the percentage of American Indian residents is higher at 1%, compared to 0% in South amana.

Health Statistics

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

Health Metric South amana Addison
Mental Health Not Good 14.1% 14.2%
Physical Health Not Good 8.5% 10.8%
Depression 18.9% 17.7%
Smoking 14.8% 14.9%
Binge Drinking 22.8% 15.5%
Obesity 35.5% 35.0%
Disability Percentage 7.0% 10.0%

Health Statistics Comparison: South amana vs Addison

  • In Addison, a higher percentage report poor mental health at 14.2% compared to 14.1% in South amana.
  • Depression is more prevalent in South amana at 18.9% compared to 17.7% in Addison.
  • Addison has a higher smoking rate at 14.9% compared to 14.8% in South amana.
  • Binge drinking is more common in South amana at 22.8% compared to 15.5% in Addison.
  • Obesity rates are higher in South amana at 35.5% compared to 35.0% in Addison.
  • There is a higher percentage of disabled individuals in Addison at 10.0% compared to 7.0% in South amana.

Education Levels

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

Education Level South amana Addison
No Schooling 0.0% (Data is updating) 2.1% (744)
High School Diploma 11.9% (18) 19.0% (6,671)
Less than High School 0.0% (Data is updating) 27.2% (9,554)
Bachelor's Degree and Higher 29.1% (44) 17.1% (6,014)

Education Levels Comparison: South amana vs Addison

  • In Addison, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in South amana.
  • In Addison, the rate of residents with high school diplomas is higher at 19.0% compared to 11.9% in South amana.
  • The percentage of residents with less than a high school education is higher in Addison at 27.2%, compared to 0.0% in South amana.
  • A higher percentage of residents in South amana hold a bachelor's degree or higher at 29.1% compared to 17.1% in Addison.

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.