Demographics details for Wilmington, NC vs Big bear lake, CA

Population Overview

Compare main population characteristics in Wilmington, NC vs Big bear lake, CA.

Data Wilmington Big bear lake
Population 120,324 5,031
Median Age 37.6 years 47.5 years
Median Income $58,908 $70,020
Married Families 32.0% 42.0%
Poverty Level 12% 10%
Unemployment Rate 3.7 5.0

Population Comparison: Wilmington vs Big bear lake

  • In Wilmington, the population is higher at 120,324, compared to 5,031 in Big bear lake.
  • The median age in Big bear lake is higher at 47.5 years, compared to 37.6 years in Wilmington.
  • Big bear lake has a higher median income of $70,020, compared to $58,908 in Wilmington.
  • In Big bear lake, the percentage of married families is higher at 42.0%, compared to 32.0% in Wilmington.
  • Wilmington has a higher poverty level at 12% compared to 10% in Big bear lake.
  • Big bear lake has a higher unemployment rate at 5.0% compared to 3.7% in Wilmington.

Demographics

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

Demographic Wilmington Big bear lake
Black 16 Data is updating
White 71 50
Asian 1 3
Hispanic 7 30
Two or More Races 5 16
American Indian Data is updating 1

Demographics Comparison: Wilmington vs Big bear lake

  • A higher percentage of Black residents are in Wilmington at 16% compared to 0% in Big bear lake.
  • Wilmington has a higher percentage of White residents at 71% compared to 50% in Big bear lake.
  • In Big bear lake, the Asian population stands at 3%, greater than 1% in Wilmington.
  • Big bear lake has a higher percentage of Hispanic residents at 30%, compared to 7% in Wilmington.
  • The percentage of residents identifying as two or more races is higher in Big bear lake at 16%, compared to 5% in Wilmington.
  • In Big bear lake, the percentage of American Indian residents is higher at 1%, compared to 0% in Wilmington.

Health Statistics

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

Health Metric Wilmington Big bear lake
Mental Health Not Good 16.9% 17.4%
Physical Health Not Good 11.0% 12.1%
Depression 25.0% 20.5%
Smoking 16.5% 14.1%
Binge Drinking 18.5% 17.0%
Obesity 33.2% 37.0%
Disability Percentage 12.0% 9.0%

Health Statistics Comparison: Wilmington vs Big bear lake

  • In Big bear lake, a higher percentage report poor mental health at 17.4% compared to 16.9% in Wilmington.
  • Depression is more prevalent in Wilmington at 25.0% compared to 20.5% in Big bear lake.
  • Smoking is more prevalent in Wilmington at 16.5% compared to 14.1% in Big bear lake.
  • Binge drinking is more common in Wilmington at 18.5% compared to 17.0% in Big bear lake.
  • Big bear lake has higher obesity rates at 37.0% compared to 33.2% in Wilmington.
  • Disability percentages are higher in Wilmington at 12.0% compared to 9.0% in Big bear lake.

Education Levels

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

Education Level Wilmington Big bear lake
No Schooling 0.5% (560) 0.7% (37)
High School Diploma 10.5% (12,679) 16.4% (825)
Less than High School 7.1% (8,513) 12.6% (634)
Bachelor's Degree and Higher 28.5% (34,319) 25.7% (1,294)

Education Levels Comparison: Wilmington vs Big bear lake

  • In Big bear lake, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Wilmington.
  • In Big bear lake, the rate of residents with high school diplomas is higher at 16.4% compared to 10.5% in Wilmington.
  • The percentage of residents with less than a high school education is higher in Big bear lake at 12.6%, compared to 7.1% in Wilmington.
  • A higher percentage of residents in Wilmington hold a bachelor's degree or higher at 28.5% compared to 25.7% in Big bear lake.

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.