Demographics details for Greenbelt, MD vs Atkinson, IL

Population Overview

Compare main population characteristics in Greenbelt, MD vs Atkinson, IL.

Data Greenbelt Atkinson
Population 24,360 939
Median Age 37.2 years 44.6 years
Median Income $82,019 $51,593
Married Families 30.0% 42.0%
Poverty Level 9% 7%
Unemployment Rate 6.5 3.5

Population Comparison: Greenbelt vs Atkinson

  • In Greenbelt, the population is higher at 24,360, compared to 939 in Atkinson.
  • The median age in Atkinson is higher at 44.6 years, compared to 37.2 years in Greenbelt.
  • Greenbelt has a higher median income of $82,019 compared to $51,593 in Atkinson.
  • In Atkinson, the percentage of married families is higher at 42.0%, compared to 30.0% in Greenbelt.
  • Greenbelt has a higher poverty level at 9% compared to 7% in Atkinson.
  • The unemployment rate in Greenbelt is higher at 6.5%, compared to 3.5% in Atkinson.

Demographics

Demographics Greenbelt vs Atkinson provide insight into the diversity of the communities to compare.

Demographic Greenbelt Atkinson
Black 48 Data is updating
White 17 91
Asian 12 Data is updating
Hispanic 16 1
Two or More Races 6 8
American Indian 1 Data is updating

Demographics Comparison: Greenbelt vs Atkinson

  • A higher percentage of Black residents are in Greenbelt at 48% compared to 0% in Atkinson.
  • The percentage of White residents is higher in Atkinson at 91% compared to 17% in Greenbelt.
  • The Asian population is larger in Greenbelt at 12% compared to 0% in Atkinson.
  • The Hispanic community is larger in Greenbelt at 16% compared to 1% in Atkinson.
  • The percentage of residents identifying as two or more races is higher in Atkinson at 8%, compared to 6% in Greenbelt.
  • A greater percentage of American Indian residents live in Greenbelt at 1% compared to 0% in Atkinson.

Health Statistics

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

Health Metric Greenbelt Atkinson
Mental Health Not Good 12.9% 16.2%
Physical Health Not Good 8.1% 10.8%
Depression 13.0% 21.6%
Smoking 9.8% 17.1%
Binge Drinking 12.3% 18.8%
Obesity 36.0% 35.0%
Disability Percentage 10.0% 17.0%

Health Statistics Comparison: Greenbelt vs Atkinson

  • In Atkinson, a higher percentage report poor mental health at 16.2% compared to 12.9% in Greenbelt.
  • Higher depression rates are seen in Atkinson at 21.6% versus 13.0% in Greenbelt.
  • Atkinson has a higher smoking rate at 17.1% compared to 9.8% in Greenbelt.
  • More residents engage in binge drinking in Atkinson at 18.8% compared to 12.3% in Greenbelt.
  • Obesity rates are higher in Greenbelt at 36.0% compared to 35.0% in Atkinson.
  • There is a higher percentage of disabled individuals in Atkinson at 17.0% compared to 10.0% in Greenbelt.

Education Levels

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

Education Level Greenbelt Atkinson
No Schooling 2.2% (530) 0.9% (8)
High School Diploma 9.0% (2,195) 36.4% (342)
Less than High School 11.4% (2,766) 13.3% (125)
Bachelor's Degree and Higher 32.2% (7,832) 8.4% (79)

Education Levels Comparison: Greenbelt vs Atkinson

  • A higher percentage of residents in Greenbelt have no formal schooling at 2.2% compared to 0.9% in Atkinson.
  • In Atkinson, the rate of residents with high school diplomas is higher at 36.4% compared to 9.0% in Greenbelt.
  • The percentage of residents with less than a high school education is higher in Atkinson at 13.3%, compared to 11.4% in Greenbelt.
  • A higher percentage of residents in Greenbelt hold a bachelor's degree or higher at 32.2% compared to 8.4% in Atkinson.

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.