Demographics details for Big bear lake, CA vs College park, MD

Population Overview

Compare main population characteristics in Big bear lake, CA vs College park, MD.

Data Big bear lake College park
Population 5,031 34,190
Median Age 47.5 years 21.6 years
Median Income $70,020 $76,973
Married Families 42.0% 17.0%
Poverty Level 10% 10%
Unemployment Rate 5.0 5.5

Population Comparison: Big bear lake vs College park

  • The population in College park is higher at 34,190, compared to 5,031 in Big bear lake.
  • Residents in Big bear lake have a higher median age of 47.5 years compared to 21.6 years in College park.
  • College park has a higher median income of $76,973, compared to $70,020 in Big bear lake.
  • A higher percentage of married families is found in Big bear lake at 42.0% compared to 17.0% in College park.
  • The poverty level is identical in both Big bear lake and College park at 10%.
  • College park has a higher unemployment rate at 5.5% compared to 5.0% in Big bear lake.

Demographics

Demographics Big bear lake vs College park provide insight into the diversity of the communities to compare.

Demographic Big bear lake College park
Black Data is updating 23
White 50 39
Asian 3 14
Hispanic 30 17
Two or More Races 16 7
American Indian 1 Data is updating

Demographics Comparison: Big bear lake vs College park

  • In College park, the percentage of Black residents is higher at 23% compared to 0% in Big bear lake.
  • Big bear lake has a higher percentage of White residents at 50% compared to 39% in College park.
  • In College park, the Asian population stands at 14%, greater than 3% in Big bear lake.
  • The Hispanic community is larger in Big bear lake at 30% compared to 17% in College park.
  • More residents identify as two or more races in Big bear lake at 16% compared to 7% in College park.
  • A greater percentage of American Indian residents live in Big bear lake at 1% compared to 0% in College park.

Health Statistics

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

Health Metric Big bear lake College park
Mental Health Not Good 17.4% 14.8%
Physical Health Not Good 12.1% 10.0%
Depression 20.5% 15.4%
Smoking 14.1% 12.4%
Binge Drinking 17.0% 12.8%
Obesity 37.0% 36.4%
Disability Percentage 9.0% 5.0%

Health Statistics Comparison: Big bear lake vs College park

  • More residents in Big bear lake report poor mental health at 17.4% compared to 14.8% in College park.
  • Depression is more prevalent in Big bear lake at 20.5% compared to 15.4% in College park.
  • Smoking is more prevalent in Big bear lake at 14.1% compared to 12.4% in College park.
  • Binge drinking is more common in Big bear lake at 17.0% compared to 12.8% in College park.
  • Obesity rates are higher in Big bear lake at 37.0% compared to 36.4% in College park.
  • Disability percentages are higher in Big bear lake at 9.0% compared to 5.0% in College park.

Education Levels

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

Education Level Big bear lake College park
No Schooling 0.7% (37) 1.9% (657)
High School Diploma 16.4% (825) 6.4% (2,199)
Less than High School 12.6% (634) 9.4% (3,210)
Bachelor's Degree and Higher 25.7% (1,294) 19.8% (6,769)

Education Levels Comparison: Big bear lake vs College park

  • In College park, a larger percentage of residents lack formal schooling at 1.9% compared to 0.7% in Big bear lake.
  • A higher percentage of residents in Big bear lake hold a high school diploma at 16.4% compared to 6.4% in College park.
  • More residents in Big bear lake have less than a high school education at 12.6% compared to 9.4% in College park.
  • A higher percentage of residents in Big bear lake hold a bachelor's degree or higher at 25.7% compared to 19.8% in College park.

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.