Demographics details for Lombard, IL vs Huddleston, VA

Population Overview

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

Data Lombard Huddleston
Population 43,856 157
Median Age 37.7 years 43.0 years
Median Income $95,509 $50,000
Married Families 44.0% 60.0%
Poverty Level 5% 12%
Unemployment Rate 5.2 3.5

Population Comparison: Lombard vs Huddleston

  • In Lombard, the population is higher at 43,856, compared to 157 in Huddleston.
  • The median age in Huddleston is higher at 43.0 years, compared to 37.7 years in Lombard.
  • Lombard has a higher median income of $95,509 compared to $50,000 in Huddleston.
  • In Huddleston, the percentage of married families is higher at 60.0%, compared to 44.0% in Lombard.
  • The poverty level is higher in Huddleston at 12%, compared to 5% in Lombard.
  • The unemployment rate in Lombard is higher at 5.2%, compared to 3.5% in Huddleston.

Demographics

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

Demographic Lombard Huddleston
Black 5 2
White 65 95
Asian 12 1
Hispanic 11 1
Two or More Races 7 1
American Indian Data is updating Data is updating

Demographics Comparison: Lombard vs Huddleston

  • A higher percentage of Black residents are in Lombard at 5% compared to 2% in Huddleston.
  • The percentage of White residents is higher in Huddleston at 95% compared to 65% in Lombard.
  • The Asian population is larger in Lombard at 12% compared to 1% in Huddleston.
  • The Hispanic community is larger in Lombard at 11% compared to 1% in Huddleston.
  • More residents identify as two or more races in Lombard at 7% compared to 1% in Huddleston.
  • The percentage of American Indian residents is the same in both Lombard and Huddleston at 0%.

Health Statistics

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

Health Metric Lombard Huddleston
Mental Health Not Good 13.0% Data is updating%
Physical Health Not Good 8.5% Data is updating%
Depression 17.9% Data is updating%
Smoking 11.8% Data is updating%
Binge Drinking 16.7% Data is updating%
Obesity 30.9% Data is updating%
Disability Percentage 9.0% Data is updating%

Health Statistics Comparison: Lombard vs Huddleston

  • More residents in Lombard report poor mental health at 13.0% compared to 0.0% in Huddleston.
  • Depression is more prevalent in Lombard at 17.9% compared to 0.0% in Huddleston.
  • Smoking is more prevalent in Lombard at 11.8% compared to 0.0% in Huddleston.
  • Binge drinking is more common in Lombard at 16.7% compared to 0.0% in Huddleston.
  • Obesity rates are higher in Lombard at 30.9% compared to 0.0% in Huddleston.
  • Disability percentages are higher in Lombard at 9.0% 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 Lombard Huddleston
No Schooling 0.4% (166) 0.0% (Data is updating)
High School Diploma 13.2% (5,778) 0.0% (Data is updating)
Less than High School 3.9% (1,716) 0.0% (Data is updating)
Bachelor's Degree and Higher 35.6% (15,594) 0.0% (Data is updating)

Education Levels Comparison: Lombard vs Huddleston

  • A higher percentage of residents in Lombard have no formal schooling at 0.4% compared to 0.0% in Huddleston.
  • A higher percentage of residents in Lombard hold a high school diploma at 13.2% compared to 0.0% in Huddleston.
  • More residents in Lombard have less than a high school education at 3.9% compared to 0.0% in Huddleston.
  • A higher percentage of residents in Lombard hold a bachelor's degree or higher at 35.6% 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.