Demographics details for Seaside park, NJ vs Santa paula, CA

Population Overview

Compare main population characteristics in Seaside park, NJ vs Santa paula, CA.

Data Seaside park Santa paula
Population 1,473 31,018
Median Age 59.5 years 34.6 years
Median Income $80,658 $72,014
Married Families 57.0% 36.0%
Poverty Level 5% 15%
Unemployment Rate 4.1 5.6

Population Comparison: Seaside park vs Santa paula

  • The population in Santa paula is higher at 31,018, compared to 1,473 in Seaside park.
  • Residents in Seaside park have a higher median age of 59.5 years compared to 34.6 years in Santa paula.
  • Seaside park has a higher median income of $80,658 compared to $72,014 in Santa paula.
  • A higher percentage of married families is found in Seaside park at 57.0% compared to 36.0% in Santa paula.
  • The poverty level is higher in Santa paula at 15%, compared to 5% in Seaside park.
  • Santa paula has a higher unemployment rate at 5.6% compared to 4.1% in Seaside park.

Demographics

Demographics Seaside park vs Santa paula provide insight into the diversity of the communities to compare.

Demographic Seaside park Santa paula
Black 3 1
White 90 2
Asian 4 1
Hispanic 1 81
Two or More Races 2 13
American Indian Data is updating 2

Demographics Comparison: Seaside park vs Santa paula

  • A higher percentage of Black residents are in Seaside park at 3% compared to 1% in Santa paula.
  • Seaside park has a higher percentage of White residents at 90% compared to 2% in Santa paula.
  • The Asian population is larger in Seaside park at 4% compared to 1% in Santa paula.
  • Santa paula has a higher percentage of Hispanic residents at 81%, compared to 1% in Seaside park.
  • The percentage of residents identifying as two or more races is higher in Santa paula at 13%, compared to 2% in Seaside park.
  • In Santa paula, the percentage of American Indian residents is higher at 2%, compared to 0% in Seaside park.

Health Statistics

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

Health Metric Seaside park Santa paula
Mental Health Not Good 15.4% 16.2%
Physical Health Not Good 10.1% 13.5%
Depression 23.1% 17.9%
Smoking 13.2% 13.4%
Binge Drinking 18.2% 15.6%
Obesity 30.7% 31.5%
Disability Percentage 13.0% 12.0%

Health Statistics Comparison: Seaside park vs Santa paula

  • In Santa paula, a higher percentage report poor mental health at 16.2% compared to 15.4% in Seaside park.
  • Depression is more prevalent in Seaside park at 23.1% compared to 17.9% in Santa paula.
  • Santa paula has a higher smoking rate at 13.4% compared to 13.2% in Seaside park.
  • Binge drinking is more common in Seaside park at 18.2% compared to 15.6% in Santa paula.
  • Santa paula has higher obesity rates at 31.5% compared to 30.7% in Seaside park.
  • Disability percentages are higher in Seaside park at 13.0% compared to 12.0% in Santa paula.

Education Levels

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

Education Level Seaside park Santa paula
No Schooling 0.0% (Data is updating) 2.9% (907)
High School Diploma 22.2% (327) 12.8% (3,980)
Less than High School 3.3% (49) 43.7% (13,547)
Bachelor's Degree and Higher 56.3% (830) 8.6% (2,653)

Education Levels Comparison: Seaside park vs Santa paula

  • In Santa paula, a larger percentage of residents lack formal schooling at 2.9% compared to 0.0% in Seaside park.
  • A higher percentage of residents in Seaside park hold a high school diploma at 22.2% compared to 12.8% in Santa paula.
  • The percentage of residents with less than a high school education is higher in Santa paula at 43.7%, compared to 3.3% in Seaside park.
  • A higher percentage of residents in Seaside park hold a bachelor's degree or higher at 56.3% compared to 8.6% in Santa paula.

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.