Demographics details for Buckfield, ME vs Park forest, IL

Population Overview

Compare main population characteristics in Buckfield, ME vs Park forest, IL.

Data Buckfield Park forest
Population 2,029 20,954
Median Age 43.0 years 37.4 years
Median Income $55,833 $58,907
Married Families 60.0% 25.0%
Poverty Level 12% 13%
Unemployment Rate 2.5 8.9

Population Comparison: Buckfield vs Park forest

  • The population in Park forest is higher at 20,954, compared to 2,029 in Buckfield.
  • Residents in Buckfield have a higher median age of 43.0 years compared to 37.4 years in Park forest.
  • Park forest has a higher median income of $58,907, compared to $55,833 in Buckfield.
  • A higher percentage of married families is found in Buckfield at 60.0% compared to 25.0% in Park forest.
  • The poverty level is higher in Park forest at 13%, compared to 12% in Buckfield.
  • Park forest has a higher unemployment rate at 8.9% compared to 2.5% in Buckfield.

Demographics

Demographics Buckfield vs Park forest provide insight into the diversity of the communities to compare.

Demographic Buckfield Park forest
Black Data is updating 72
White 100 17
Asian Data is updating Data is updating
Hispanic Data is updating 7
Two or More Races Data is updating 3
American Indian Data is updating 1

Demographics Comparison: Buckfield vs Park forest

  • In Park forest, the percentage of Black residents is higher at 72% compared to 0% in Buckfield.
  • Buckfield has a higher percentage of White residents at 100% compared to 17% in Park forest.
  • Both Buckfield and Park forest have the same percentage of Asian residents at 0%.
  • Park forest has a higher percentage of Hispanic residents at 7%, compared to 0% in Buckfield.
  • The percentage of residents identifying as two or more races is higher in Park forest at 3%, compared to 0% in Buckfield.
  • In Park forest, the percentage of American Indian residents is higher at 1%, compared to 0% in Buckfield.

Health Statistics

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

Health Metric Buckfield Park forest
Mental Health Not Good Data is updating% 15.5%
Physical Health Not Good Data is updating% 11.2%
Depression Data is updating% 16.9%
Smoking Data is updating% 15.9%
Binge Drinking Data is updating% 15.8%
Obesity Data is updating% 37.2%
Disability Percentage Data is updating% 14.0%

Health Statistics Comparison: Buckfield vs Park forest

  • In Park forest, a higher percentage report poor mental health at 15.5% compared to 0.0% in Buckfield.
  • Higher depression rates are seen in Park forest at 16.9% versus 0.0% in Buckfield.
  • Park forest has a higher smoking rate at 15.9% compared to 0.0% in Buckfield.
  • More residents engage in binge drinking in Park forest at 15.8% compared to 0.0% in Buckfield.
  • Park forest has higher obesity rates at 37.2% compared to 0.0% in Buckfield.
  • There is a higher percentage of disabled individuals in Park forest at 14.0% compared to 0.0% in Buckfield.

Education Levels

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

Education Level Buckfield Park forest
No Schooling 0.0% (Data is updating) 2.4% (503)
High School Diploma 0.0% (Data is updating) 13.4% (2,802)
Less than High School 0.0% (Data is updating) 8.5% (1,787)
Bachelor's Degree and Higher 0.0% (Data is updating) 17.4% (3,650)

Education Levels Comparison: Buckfield vs Park forest

  • In Park forest, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Buckfield.
  • In Park forest, the rate of residents with high school diplomas is higher at 13.4% compared to 0.0% in Buckfield.
  • The percentage of residents with less than a high school education is higher in Park forest at 8.5%, compared to 0.0% in Buckfield.
  • In Park forest, a larger share of residents have a bachelor's degree or higher at 17.4% compared to 0.0% in Buckfield.

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.