Demographics details for Addison, IL vs Jefferson city, MO

Population Overview

Compare main population characteristics in Addison, IL vs Jefferson city, MO.

Data Addison Jefferson city
Population 35,127 42,528
Median Age 40.1 years 38.5 years
Median Income $82,547 $63,649
Married Families 43.0% 37.0%
Poverty Level 5% 11%
Unemployment Rate 5.6 3.9

Population Comparison: Addison vs Jefferson city

  • The population in Jefferson city is higher at 42,528, compared to 35,127 in Addison.
  • Residents in Addison have a higher median age of 40.1 years compared to 38.5 years in Jefferson city.
  • Addison has a higher median income of $82,547 compared to $63,649 in Jefferson city.
  • A higher percentage of married families is found in Addison at 43.0% compared to 37.0% in Jefferson city.
  • The poverty level is higher in Jefferson city at 11%, compared to 5% in Addison.
  • The unemployment rate in Addison is higher at 5.6%, compared to 3.9% in Jefferson city.

Demographics

Demographics Addison vs Jefferson city provide insight into the diversity of the communities to compare.

Demographic Addison Jefferson city
Black 4 18
White 32 72
Asian 9 3
Hispanic 42 3
Two or More Races 12 4
American Indian 1 Data is updating

Demographics Comparison: Addison vs Jefferson city

  • In Jefferson city, the percentage of Black residents is higher at 18% compared to 4% in Addison.
  • The percentage of White residents is higher in Jefferson city at 72% compared to 32% in Addison.
  • The Asian population is larger in Addison at 9% compared to 3% in Jefferson city.
  • The Hispanic community is larger in Addison at 42% compared to 3% in Jefferson city.
  • More residents identify as two or more races in Addison at 12% compared to 4% in Jefferson city.
  • A greater percentage of American Indian residents live in Addison at 1% compared to 0% in Jefferson city.

Health Statistics

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

Health Metric Addison Jefferson city
Mental Health Not Good 14.2% 17.1%
Physical Health Not Good 10.8% 11.6%
Depression 17.7% 22.6%
Smoking 14.9% 18.6%
Binge Drinking 15.5% 16.9%
Obesity 35.0% 37.4%
Disability Percentage 10.0% 11.0%

Health Statistics Comparison: Addison vs Jefferson city

  • In Jefferson city, a higher percentage report poor mental health at 17.1% compared to 14.2% in Addison.
  • Higher depression rates are seen in Jefferson city at 22.6% versus 17.7% in Addison.
  • Jefferson city has a higher smoking rate at 18.6% compared to 14.9% in Addison.
  • More residents engage in binge drinking in Jefferson city at 16.9% compared to 15.5% in Addison.
  • Jefferson city has higher obesity rates at 37.4% compared to 35.0% in Addison.
  • There is a higher percentage of disabled individuals in Jefferson city at 11.0% compared to 10.0% in Addison.

Education Levels

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

Education Level Addison Jefferson city
No Schooling 2.1% (744) 0.5% (233)
High School Diploma 19.0% (6,671) 15.9% (6,767)
Less than High School 27.2% (9,554) 11.0% (4,659)
Bachelor's Degree and Higher 17.1% (6,014) 24.8% (10,543)

Education Levels Comparison: Addison vs Jefferson city

  • A higher percentage of residents in Addison have no formal schooling at 2.1% compared to 0.5% in Jefferson city.
  • A higher percentage of residents in Addison hold a high school diploma at 19.0% compared to 15.9% in Jefferson city.
  • More residents in Addison have less than a high school education at 27.2% compared to 11.0% in Jefferson city.
  • In Jefferson city, a larger share of residents have a bachelor's degree or higher at 24.8% 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.