Demographics details for Burlington, MA vs Sterling, IL

Population Overview

Compare main population characteristics in Burlington, MA vs Sterling, IL.

Data Burlington Sterling
Population 26,169 14,566
Median Age 43.9 years 43.0 years
Median Income $133,936 $49,007
Married Families 48.0% 32.0%
Poverty Level Data is updating 12%
Unemployment Rate 3.5 4.2

Population Comparison: Burlington vs Sterling

  • In Burlington, the population is higher at 26,169, compared to 14,566 in Sterling.
  • Residents in Burlington have a higher median age of 43.9 years compared to 43.0 years in Sterling.
  • Burlington has a higher median income of $133,936 compared to $49,007 in Sterling.
  • A higher percentage of married families is found in Burlington at 48.0% compared to 32.0% in Sterling.
  • The poverty level is higher in Sterling at 12%, compared to 0% in Burlington.
  • Sterling has a higher unemployment rate at 4.2% compared to 3.5% in Burlington.

Demographics

Demographics Burlington vs Sterling provide insight into the diversity of the communities to compare.

Demographic Burlington Sterling
Black 2 2
White 76 56
Asian 14 2
Hispanic 3 27
Two or More Races 5 12
American Indian Data is updating 1

Demographics Comparison: Burlington vs Sterling

  • The percentage of Black residents is the same in both Burlington and Sterling at 2%.
  • Burlington has a higher percentage of White residents at 76% compared to 56% in Sterling.
  • The Asian population is larger in Burlington at 14% compared to 2% in Sterling.
  • Sterling has a higher percentage of Hispanic residents at 27%, compared to 3% in Burlington.
  • The percentage of residents identifying as two or more races is higher in Sterling at 12%, compared to 5% in Burlington.
  • In Sterling, the percentage of American Indian residents is higher at 1%, compared to 0% in Burlington.

Health Statistics

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

Health Metric Burlington Sterling
Mental Health Not Good 13.0% 16.7%
Physical Health Not Good 7.7% 12.2%
Depression 19.8% 22.2%
Smoking 9.1% 18.6%
Binge Drinking 19.0% 17.4%
Obesity 22.5% 39.5%
Disability Percentage 9.0% 17.0%

Health Statistics Comparison: Burlington vs Sterling

  • In Sterling, a higher percentage report poor mental health at 16.7% compared to 13.0% in Burlington.
  • Higher depression rates are seen in Sterling at 22.2% versus 19.8% in Burlington.
  • Sterling has a higher smoking rate at 18.6% compared to 9.1% in Burlington.
  • Binge drinking is more common in Burlington at 19.0% compared to 17.4% in Sterling.
  • Sterling has higher obesity rates at 39.5% compared to 22.5% in Burlington.
  • There is a higher percentage of disabled individuals in Sterling at 17.0% compared to 9.0% in Burlington.

Education Levels

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

Education Level Burlington Sterling
No Schooling 0.5% (137) 1.1% (164)
High School Diploma 12.4% (3,237) 24.1% (3,511)
Less than High School 4.2% (1,092) 13.8% (2,012)
Bachelor's Degree and Higher 42.7% (11,177) 11.8% (1,713)

Education Levels Comparison: Burlington vs Sterling

  • In Sterling, a larger percentage of residents lack formal schooling at 1.1% compared to 0.5% in Burlington.
  • In Sterling, the rate of residents with high school diplomas is higher at 24.1% compared to 12.4% in Burlington.
  • The percentage of residents with less than a high school education is higher in Sterling at 13.8%, compared to 4.2% in Burlington.
  • A higher percentage of residents in Burlington hold a bachelor's degree or higher at 42.7% compared to 11.8% in Sterling.

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.