Demographics details for Ocean city, NJ vs Citrus heights, CA

Population Overview

Compare main population characteristics in Ocean city, NJ vs Citrus heights, CA.

Data Ocean city Citrus heights
Population 11,303 86,433
Median Age 56.9 years 38.1 years
Median Income $98,576 $75,022
Married Families 53.0% 36.0%
Poverty Level Data is updating 10%
Unemployment Rate 3.2 4.5

Population Comparison: Ocean city vs Citrus heights

  • The population in Citrus heights is higher at 86,433, compared to 11,303 in Ocean city.
  • Residents in Ocean city have a higher median age of 56.9 years compared to 38.1 years in Citrus heights.
  • Ocean city has a higher median income of $98,576 compared to $75,022 in Citrus heights.
  • A higher percentage of married families is found in Ocean city at 53.0% compared to 36.0% in Citrus heights.
  • The poverty level is higher in Citrus heights at 10%, compared to 0% in Ocean city.
  • Citrus heights has a higher unemployment rate at 4.5% compared to 3.2% in Ocean city.

Demographics

Demographics Ocean city vs Citrus heights provide insight into the diversity of the communities to compare.

Demographic Ocean city Citrus heights
Black 3 3
White 86 62
Asian Data is updating 5
Hispanic 8 20
Two or More Races 3 9
American Indian Data is updating 1

Demographics Comparison: Ocean city vs Citrus heights

  • The percentage of Black residents is the same in both Ocean city and Citrus heights at 3%.
  • Ocean city has a higher percentage of White residents at 86% compared to 62% in Citrus heights.
  • In Citrus heights, the Asian population stands at 5%, greater than 0% in Ocean city.
  • Citrus heights has a higher percentage of Hispanic residents at 20%, compared to 8% in Ocean city.
  • The percentage of residents identifying as two or more races is higher in Citrus heights at 9%, compared to 3% in Ocean city.
  • In Citrus heights, 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 Citrus heights
Mental Health Not Good 14.0% 17.7%
Physical Health Not Good 8.7% 11.3%
Depression 21.8% 21.5%
Smoking 11.9% 14.1%
Binge Drinking 20.3% 17.3%
Obesity 29.8% 32.8%
Disability Percentage 14.0% 15.0%

Health Statistics Comparison: Ocean city vs Citrus heights

  • In Citrus heights, a higher percentage report poor mental health at 17.7% compared to 14.0% in Ocean city.
  • Depression is more prevalent in Ocean city at 21.8% compared to 21.5% in Citrus heights.
  • Citrus heights has a higher smoking rate at 14.1% compared to 11.9% in Ocean city.
  • Binge drinking is more common in Ocean city at 20.3% compared to 17.3% in Citrus heights.
  • Citrus heights has higher obesity rates at 32.8% compared to 29.8% in Ocean city.
  • There is a higher percentage of disabled individuals in Citrus heights at 15.0% compared to 14.0% in Ocean city.

Education Levels

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

Education Level Ocean city Citrus heights
No Schooling 0.4% (50) 1.5% (1,266)
High School Diploma 16.9% (1,907) 15.8% (13,657)
Less than High School 6.0% (676) 12.5% (10,787)
Bachelor's Degree and Higher 43.6% (4,926) 15.8% (13,696)

Education Levels Comparison: Ocean city vs Citrus heights

  • In Citrus heights, a larger percentage of residents lack formal schooling at 1.5% compared to 0.4% in Ocean city.
  • A higher percentage of residents in Ocean city hold a high school diploma at 16.9% compared to 15.8% in Citrus heights.
  • The percentage of residents with less than a high school education is higher in Citrus heights at 12.5%, 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 15.8% in Citrus heights.

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.