Demographics details for Redondo beach, CA vs Kearny, NJ

Population Overview

Compare main population characteristics in Redondo beach, CA vs Kearny, NJ.

Data Redondo beach Kearny
Population 68,918 39,862
Median Age 40.1 years 39.1 years
Median Income $134,033 $81,307
Married Families 42.0% 41.0%
Poverty Level Data is updating 11%
Unemployment Rate 5.0 5.2

Population Comparison: Redondo beach vs Kearny

  • In Redondo beach, the population is higher at 68,918, compared to 39,862 in Kearny.
  • Residents in Redondo beach have a higher median age of 40.1 years compared to 39.1 years in Kearny.
  • Redondo beach has a higher median income of $134,033 compared to $81,307 in Kearny.
  • A higher percentage of married families is found in Redondo beach at 42.0% compared to 41.0% in Kearny.
  • The poverty level is higher in Kearny at 11%, compared to 0% in Redondo beach.
  • Kearny has a higher unemployment rate at 5.2% compared to 5.0% in Redondo beach.

Demographics

Demographics Redondo beach vs Kearny provide insight into the diversity of the communities to compare.

Demographic Redondo beach Kearny
Black 3 5
White 50 15
Asian 17 4
Hispanic 16 56
Two or More Races 14 20
American Indian Data is updating Data is updating

Demographics Comparison: Redondo beach vs Kearny

  • In Kearny, the percentage of Black residents is higher at 5% compared to 3% in Redondo beach.
  • Redondo beach has a higher percentage of White residents at 50% compared to 15% in Kearny.
  • The Asian population is larger in Redondo beach at 17% compared to 4% in Kearny.
  • Kearny has a higher percentage of Hispanic residents at 56%, compared to 16% in Redondo beach.
  • The percentage of residents identifying as two or more races is higher in Kearny at 20%, compared to 14% in Redondo beach.
  • The percentage of American Indian residents is the same in both Redondo beach and Kearny at 0%.

Health Statistics

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

Health Metric Redondo beach Kearny
Mental Health Not Good 12.7% 15.0%
Physical Health Not Good 7.4% 11.5%
Depression 15.8% 19.3%
Smoking 6.9% 14.6%
Binge Drinking 17.9% 17.0%
Obesity 22.8% 26.4%
Disability Percentage 6.0% 8.0%

Health Statistics Comparison: Redondo beach vs Kearny

  • In Kearny, a higher percentage report poor mental health at 15.0% compared to 12.7% in Redondo beach.
  • Higher depression rates are seen in Kearny at 19.3% versus 15.8% in Redondo beach.
  • Kearny has a higher smoking rate at 14.6% compared to 6.9% in Redondo beach.
  • Binge drinking is more common in Redondo beach at 17.9% compared to 17.0% in Kearny.
  • Kearny has higher obesity rates at 26.4% compared to 22.8% in Redondo beach.
  • There is a higher percentage of disabled individuals in Kearny at 8.0% compared to 6.0% in Redondo beach.

Education Levels

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

Education Level Redondo beach Kearny
No Schooling 0.7% (495) 2.3% (899)
High School Diploma 6.8% (4,657) 21.9% (8,719)
Less than High School 4.9% (3,375) 22.3% (8,901)
Bachelor's Degree and Higher 48.0% (33,051) 21.1% (8,419)

Education Levels Comparison: Redondo beach vs Kearny

  • In Kearny, a larger percentage of residents lack formal schooling at 2.3% compared to 0.7% in Redondo beach.
  • In Kearny, the rate of residents with high school diplomas is higher at 21.9% compared to 6.8% in Redondo beach.
  • The percentage of residents with less than a high school education is higher in Kearny at 22.3%, compared to 4.9% in Redondo beach.
  • A higher percentage of residents in Redondo beach hold a bachelor's degree or higher at 48.0% compared to 21.1% in Kearny.

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.