Demographics details for Ocean city, NJ vs San bernardino, CA

Population Overview

Compare main population characteristics in Ocean city, NJ vs San bernardino, CA.

Data Ocean city San bernardino
Population 11,303 220,328
Median Age 56.9 years 31.2 years
Median Income $98,576 $61,323
Married Families 53.0% 29.0%
Poverty Level Data is updating 23%
Unemployment Rate 3.2 6.4

Population Comparison: Ocean city vs San bernardino

  • The population in San bernardino is higher at 220,328, compared to 11,303 in Ocean city.
  • Residents in Ocean city have a higher median age of 56.9 years compared to 31.2 years in San bernardino.
  • Ocean city has a higher median income of $98,576 compared to $61,323 in San bernardino.
  • A higher percentage of married families is found in Ocean city at 53.0% compared to 29.0% in San bernardino.
  • The poverty level is higher in San bernardino at 23%, compared to 0% in Ocean city.
  • San bernardino has a higher unemployment rate at 6.4% compared to 3.2% in Ocean city.

Demographics

Demographics Ocean city vs San bernardino provide insight into the diversity of the communities to compare.

Demographic Ocean city San bernardino
Black 3 12
White 86 2
Asian Data is updating 4
Hispanic 8 68
Two or More Races 3 13
American Indian Data is updating 1

Demographics Comparison: Ocean city vs San bernardino

  • In San bernardino, the percentage of Black residents is higher at 12% compared to 3% in Ocean city.
  • Ocean city has a higher percentage of White residents at 86% compared to 2% in San bernardino.
  • In San bernardino, the Asian population stands at 4%, greater than 0% in Ocean city.
  • San bernardino has a higher percentage of Hispanic residents at 68%, compared to 8% in Ocean city.
  • The percentage of residents identifying as two or more races is higher in San bernardino at 13%, compared to 3% in Ocean city.
  • In San bernardino, the percentage of American Indian residents is higher at 1%, compared to 0% in Ocean city.

Health Statistics

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

Health Metric Ocean city San bernardino
Mental Health Not Good 14.0% 19.0%
Physical Health Not Good 8.7% 15.8%
Depression 21.8% 19.1%
Smoking 11.9% 17.2%
Binge Drinking 20.3% 13.9%
Obesity 29.8% 42.9%
Disability Percentage 14.0% 12.0%

Health Statistics Comparison: Ocean city vs San bernardino

  • In San bernardino, a higher percentage report poor mental health at 19.0% compared to 14.0% in Ocean city.
  • Depression is more prevalent in Ocean city at 21.8% compared to 19.1% in San bernardino.
  • San bernardino has a higher smoking rate at 17.2% compared to 11.9% in Ocean city.
  • Binge drinking is more common in Ocean city at 20.3% compared to 13.9% in San bernardino.
  • San bernardino has higher obesity rates at 42.9% compared to 29.8% in Ocean city.
  • Disability percentages are higher in Ocean city at 14.0% compared to 12.0% in San bernardino.

Education Levels

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

Education Level Ocean city San bernardino
No Schooling 0.4% (50) 2.5% (5,419)
High School Diploma 16.9% (1,907) 17.6% (38,770)
Less than High School 6.0% (676) 31.2% (68,813)
Bachelor's Degree and Higher 43.6% (4,926) 7.7% (17,071)

Education Levels Comparison: Ocean city vs San bernardino

  • In San bernardino, a larger percentage of residents lack formal schooling at 2.5% compared to 0.4% in Ocean city.
  • In San bernardino, the rate of residents with high school diplomas is higher at 17.6% compared to 16.9% in Ocean city.
  • The percentage of residents with less than a high school education is higher in San bernardino at 31.2%, compared to 6.0% in Ocean city.
  • A higher percentage of residents in Ocean city hold a bachelor's degree or higher at 43.6% compared to 7.7% in San bernardino.

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.