Demographics details for Linden, VA vs College park, MD

Population Overview

Compare main population characteristics in Linden, VA vs College park, MD.

Data Linden College park
Population 731 34,190
Median Age 38.0 years 21.6 years
Median Income $85,000 $76,973
Married Families 65.0% 17.0%
Poverty Level 5% 10%
Unemployment Rate 3.0 5.5

Population Comparison: Linden vs College park

  • The population in College park is higher at 34,190, compared to 731 in Linden.
  • Residents in Linden have a higher median age of 38.0 years compared to 21.6 years in College park.
  • Linden has a higher median income of $85,000 compared to $76,973 in College park.
  • A higher percentage of married families is found in Linden at 65.0% compared to 17.0% in College park.
  • The poverty level is higher in College park at 10%, compared to 5% in Linden.
  • College park has a higher unemployment rate at 5.5% compared to 3.0% in Linden.

Demographics

Demographics Linden vs College park provide insight into the diversity of the communities to compare.

Demographic Linden College park
Black Data is updating 23
White 95 39
Asian 2 14
Hispanic 1 17
Two or More Races 2 7
American Indian Data is updating Data is updating

Demographics Comparison: Linden vs College park

  • In College park, the percentage of Black residents is higher at 23% compared to 0% in Linden.
  • Linden has a higher percentage of White residents at 95% compared to 39% in College park.
  • In College park, the Asian population stands at 14%, greater than 2% in Linden.
  • College park has a higher percentage of Hispanic residents at 17%, compared to 1% in Linden.
  • The percentage of residents identifying as two or more races is higher in College park at 7%, compared to 2% in Linden.
  • The percentage of American Indian residents is the same in both Linden and College park at 0%.

Health Statistics

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

Health Metric Linden College park
Mental Health Not Good Data is updating% 14.8%
Physical Health Not Good Data is updating% 10.0%
Depression Data is updating% 15.4%
Smoking Data is updating% 12.4%
Binge Drinking Data is updating% 12.8%
Obesity Data is updating% 36.4%
Disability Percentage Data is updating% 5.0%

Health Statistics Comparison: Linden vs College park

  • In College park, a higher percentage report poor mental health at 14.8% compared to 0.0% in Linden.
  • Higher depression rates are seen in College park at 15.4% versus 0.0% in Linden.
  • College park has a higher smoking rate at 12.4% compared to 0.0% in Linden.
  • More residents engage in binge drinking in College park at 12.8% compared to 0.0% in Linden.
  • College park has higher obesity rates at 36.4% compared to 0.0% in Linden.
  • There is a higher percentage of disabled individuals in College park at 5.0% compared to 0.0% in Linden.

Education Levels

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

Education Level Linden College park
No Schooling 0.0% (Data is updating) 1.9% (657)
High School Diploma 0.0% (Data is updating) 6.4% (2,199)
Less than High School 0.0% (Data is updating) 9.4% (3,210)
Bachelor's Degree and Higher 0.0% (Data is updating) 19.8% (6,769)

Education Levels Comparison: Linden vs College park

  • In College park, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Linden.
  • In College park, the rate of residents with high school diplomas is higher at 6.4% compared to 0.0% in Linden.
  • The percentage of residents with less than a high school education is higher in College park at 9.4%, compared to 0.0% in Linden.
  • In College park, a larger share of residents have a bachelor's degree or higher at 19.8% compared to 0.0% in Linden.

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.