Demographics details for Springfield, IL vs Huddleston, VA

Population Overview

Compare main population characteristics in Springfield, IL vs Huddleston, VA.

Data Springfield Huddleston
Population 113,273 157
Median Age 40.1 years 43.0 years
Median Income $62,419 $50,000
Married Families 33.0% 60.0%
Poverty Level 12% 12%
Unemployment Rate 5.8 3.5

Population Comparison: Springfield vs Huddleston

  • In Springfield, the population is higher at 113,273, compared to 157 in Huddleston.
  • The median age in Huddleston is higher at 43.0 years, compared to 40.1 years in Springfield.
  • Springfield has a higher median income of $62,419 compared to $50,000 in Huddleston.
  • In Huddleston, the percentage of married families is higher at 60.0%, compared to 33.0% in Springfield.
  • The poverty level is identical in both Springfield and Huddleston at 12%.
  • The unemployment rate in Springfield is higher at 5.8%, compared to 3.5% in Huddleston.

Demographics

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

Demographic Springfield Huddleston
Black 20 2
White 69 95
Asian 3 1
Hispanic 3 1
Two or More Races 5 1
American Indian Data is updating Data is updating

Demographics Comparison: Springfield vs Huddleston

  • A higher percentage of Black residents are in Springfield at 20% compared to 2% in Huddleston.
  • The percentage of White residents is higher in Huddleston at 95% compared to 69% in Springfield.
  • The Asian population is larger in Springfield at 3% compared to 1% in Huddleston.
  • The Hispanic community is larger in Springfield at 3% compared to 1% in Huddleston.
  • More residents identify as two or more races in Springfield at 5% compared to 1% in Huddleston.
  • The percentage of American Indian residents is the same in both Springfield and Huddleston at 0%.

Health Statistics

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

Health Metric Springfield Huddleston
Mental Health Not Good 16.3% Data is updating%
Physical Health Not Good 11.5% Data is updating%
Depression 21.5% Data is updating%
Smoking 17.8% Data is updating%
Binge Drinking 17.4% Data is updating%
Obesity 36.1% Data is updating%
Disability Percentage 15.0% Data is updating%

Health Statistics Comparison: Springfield vs Huddleston

  • More residents in Springfield report poor mental health at 16.3% compared to 0.0% in Huddleston.
  • Depression is more prevalent in Springfield at 21.5% compared to 0.0% in Huddleston.
  • Smoking is more prevalent in Springfield at 17.8% compared to 0.0% in Huddleston.
  • Binge drinking is more common in Springfield at 17.4% compared to 0.0% in Huddleston.
  • Obesity rates are higher in Springfield at 36.1% compared to 0.0% in Huddleston.
  • Disability percentages are higher in Springfield at 15.0% compared to 0.0% in Huddleston.

Education Levels

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

Education Level Springfield Huddleston
No Schooling 0.5% (542) 0.0% (Data is updating)
High School Diploma 16.4% (18,528) 0.0% (Data is updating)
Less than High School 8.9% (10,102) 0.0% (Data is updating)
Bachelor's Degree and Higher 24.4% (27,677) 0.0% (Data is updating)

Education Levels Comparison: Springfield vs Huddleston

  • A higher percentage of residents in Springfield have no formal schooling at 0.5% compared to 0.0% in Huddleston.
  • A higher percentage of residents in Springfield hold a high school diploma at 16.4% compared to 0.0% in Huddleston.
  • More residents in Springfield have less than a high school education at 8.9% compared to 0.0% in Huddleston.
  • A higher percentage of residents in Springfield hold a bachelor's degree or higher at 24.4% compared to 0.0% in Huddleston.

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.