Demographics details for Independence, KY vs Seaside park, NJ

Population Overview

Compare main population characteristics in Independence, KY vs Seaside park, NJ.

Data Independence Seaside park
Population 29,326 1,473
Median Age 34.7 years 59.5 years
Median Income $92,355 $80,658
Married Families 42.0% 57.0%
Poverty Level 6% 5%
Unemployment Rate 4.2 4.1

Population Comparison: Independence vs Seaside park

  • In Independence, the population is higher at 29,326, compared to 1,473 in Seaside park.
  • The median age in Seaside park is higher at 59.5 years, compared to 34.7 years in Independence.
  • Independence has a higher median income of $92,355 compared to $80,658 in Seaside park.
  • In Seaside park, the percentage of married families is higher at 57.0%, compared to 42.0% in Independence.
  • Independence has a higher poverty level at 6% compared to 5% in Seaside park.
  • The unemployment rate in Independence is higher at 4.2%, compared to 4.1% in Seaside park.

Demographics

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

Demographic Independence Seaside park
Black 1 3
White 94 90
Asian 1 4
Hispanic 1 1
Two or More Races 3 2
American Indian Data is updating Data is updating

Demographics Comparison: Independence vs Seaside park

  • In Seaside park, the percentage of Black residents is higher at 3% compared to 1% in Independence.
  • Independence has a higher percentage of White residents at 94% compared to 90% in Seaside park.
  • In Seaside park, the Asian population stands at 4%, greater than 1% in Independence.
  • The percentage of Hispanic residents is the same in both Independence and Seaside park at 1%.
  • More residents identify as two or more races in Independence at 3% compared to 2% in Seaside park.
  • The percentage of American Indian residents is the same in both Independence and Seaside park at 0%.

Health Statistics

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

Health Metric Independence Seaside park
Mental Health Not Good 16.1% 15.4%
Physical Health Not Good 10.7% 10.1%
Depression 25.6% 23.1%
Smoking 16.7% 13.2%
Binge Drinking 17.5% 18.2%
Obesity 32.8% 30.7%
Disability Percentage 11.0% 13.0%

Health Statistics Comparison: Independence vs Seaside park

  • More residents in Independence report poor mental health at 16.1% compared to 15.4% in Seaside park.
  • Depression is more prevalent in Independence at 25.6% compared to 23.1% in Seaside park.
  • Smoking is more prevalent in Independence at 16.7% compared to 13.2% in Seaside park.
  • More residents engage in binge drinking in Seaside park at 18.2% compared to 17.5% in Independence.
  • Obesity rates are higher in Independence at 32.8% compared to 30.7% in Seaside park.
  • There is a higher percentage of disabled individuals in Seaside park at 13.0% compared to 11.0% in Independence.

Education Levels

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

Education Level Independence Seaside park
No Schooling 1.1% (337) 0.0% (Data is updating)
High School Diploma 14.6% (4,279) 22.2% (327)
Less than High School 6.6% (1,931) 3.3% (49)
Bachelor's Degree and Higher 22.3% (6,549) 56.3% (830)

Education Levels Comparison: Independence vs Seaside park

  • A higher percentage of residents in Independence have no formal schooling at 1.1% compared to 0.0% in Seaside park.
  • In Seaside park, the rate of residents with high school diplomas is higher at 22.2% compared to 14.6% in Independence.
  • More residents in Independence have less than a high school education at 6.6% compared to 3.3% in Seaside park.
  • In Seaside park, a larger share of residents have a bachelor's degree or higher at 56.3% compared to 22.3% in Independence.

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.