Demographics details for Springfield, OR vs Jefferson city, MO

Population Overview

Compare main population characteristics in Springfield, OR vs Jefferson city, MO.

Data Springfield Jefferson city
Population 61,400 42,528
Median Age 37.3 years 38.5 years
Median Income $60,982 $63,649
Married Families 36.0% 37.0%
Poverty Level 10% 11%
Unemployment Rate 4.1 3.9

Population Comparison: Springfield vs Jefferson city

  • In Springfield, the population is higher at 61,400, compared to 42,528 in Jefferson city.
  • The median age in Jefferson city is higher at 38.5 years, compared to 37.3 years in Springfield.
  • Jefferson city has a higher median income of $63,649, compared to $60,982 in Springfield.
  • In Jefferson city, the percentage of married families is higher at 37.0%, compared to 36.0% in Springfield.
  • The poverty level is higher in Jefferson city at 11%, compared to 10% in Springfield.
  • The unemployment rate in Springfield is higher at 4.1%, compared to 3.9% in Jefferson city.

Demographics

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

Demographic Springfield Jefferson city
Black 1 18
White 73 72
Asian 2 3
Hispanic 14 3
Two or More Races 9 4
American Indian 1 Data is updating

Demographics Comparison: Springfield vs Jefferson city

  • In Jefferson city, the percentage of Black residents is higher at 18% compared to 1% in Springfield.
  • Springfield has a higher percentage of White residents at 73% compared to 72% in Jefferson city.
  • In Jefferson city, the Asian population stands at 3%, greater than 2% in Springfield.
  • The Hispanic community is larger in Springfield at 14% compared to 3% in Jefferson city.
  • More residents identify as two or more races in Springfield at 9% compared to 4% in Jefferson city.
  • A greater percentage of American Indian residents live in Springfield at 1% compared to 0% in Jefferson city.

Health Statistics

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

Health Metric Springfield Jefferson city
Mental Health Not Good 19.8% 17.1%
Physical Health Not Good 13.3% 11.6%
Depression 28.9% 22.6%
Smoking 16.8% 18.6%
Binge Drinking 16.9% 16.9%
Obesity 36.4% 37.4%
Disability Percentage 20.0% 11.0%

Health Statistics Comparison: Springfield vs Jefferson city

  • More residents in Springfield report poor mental health at 19.8% compared to 17.1% in Jefferson city.
  • Depression is more prevalent in Springfield at 28.9% compared to 22.6% in Jefferson city.
  • Jefferson city has a higher smoking rate at 18.6% compared to 16.8% in Springfield.
  • Binge drinking rates are similar in both Springfield and Jefferson city at 16.9%.
  • Jefferson city has higher obesity rates at 37.4% compared to 36.4% in Springfield.
  • Disability percentages are higher in Springfield at 20.0% compared to 11.0% in Jefferson city.

Education Levels

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

Education Level Springfield Jefferson city
No Schooling 0.9% (528) 0.5% (233)
High School Diploma 14.9% (9,128) 15.9% (6,767)
Less than High School 14.4% (8,821) 11.0% (4,659)
Bachelor's Degree and Higher 14.2% (8,749) 24.8% (10,543)

Education Levels Comparison: Springfield vs Jefferson city

  • A higher percentage of residents in Springfield have no formal schooling at 0.9% compared to 0.5% in Jefferson city.
  • In Jefferson city, the rate of residents with high school diplomas is higher at 15.9% compared to 14.9% in Springfield.
  • More residents in Springfield have less than a high school education at 14.4% 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 14.2% in Springfield.

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.