Demographics details for Mount olive, MS vs Seaside park, NJ

Population Overview

Compare main population characteristics in Mount olive, MS vs Seaside park, NJ.

Data Mount olive Seaside park
Population 878 1,473
Median Age 31.7 years 59.5 years
Median Income $53,947 $80,658
Married Families 49.0% 57.0%
Poverty Level 18% 5%
Unemployment Rate 6.5 4.1

Population Comparison: Mount olive vs Seaside park

  • The population in Seaside park is higher at 1,473, compared to 878 in Mount olive.
  • The median age in Seaside park is higher at 59.5 years, compared to 31.7 years in Mount olive.
  • Seaside park has a higher median income of $80,658, compared to $53,947 in Mount olive.
  • In Seaside park, the percentage of married families is higher at 57.0%, compared to 49.0% in Mount olive.
  • Mount olive has a higher poverty level at 18% compared to 5% in Seaside park.
  • The unemployment rate in Mount olive is higher at 6.5%, compared to 4.1% in Seaside park.

Demographics

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

Demographic Mount olive Seaside park
Black 120 3
White 145 90
Asian 2 4
Hispanic Data is updating 1
Two or More Races Data is updating 2
American Indian Data is updating Data is updating

Demographics Comparison: Mount olive vs Seaside park

  • A higher percentage of Black residents are in Mount olive at 120% compared to 3% in Seaside park.
  • Mount olive has a higher percentage of White residents at 145% compared to 90% in Seaside park.
  • In Seaside park, the Asian population stands at 4%, greater than 2% in Mount olive.
  • Seaside park has a higher percentage of Hispanic residents at 1%, compared to 0% in Mount olive.
  • The percentage of residents identifying as two or more races is higher in Seaside park at 2%, compared to 0% in Mount olive.
  • The percentage of American Indian residents is the same in both Mount olive and Seaside park at 0%.

Health Statistics

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

Health Metric Mount olive Seaside park
Mental Health Not Good 17.8% 15.4%
Physical Health Not Good 13.3% 10.1%
Depression 21.5% 23.1%
Smoking 21.3% 13.2%
Binge Drinking 13.0% 18.2%
Obesity 43.6% 30.7%
Disability Percentage 27.0% 13.0%

Health Statistics Comparison: Mount olive vs Seaside park

  • More residents in Mount olive report poor mental health at 17.8% compared to 15.4% in Seaside park.
  • Higher depression rates are seen in Seaside park at 23.1% versus 21.5% in Mount olive.
  • Smoking is more prevalent in Mount olive at 21.3% compared to 13.2% in Seaside park.
  • More residents engage in binge drinking in Seaside park at 18.2% compared to 13.0% in Mount olive.
  • Obesity rates are higher in Mount olive at 43.6% compared to 30.7% in Seaside park.
  • Disability percentages are higher in Mount olive at 27.0% compared to 13.0% in Seaside park.

Education Levels

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

Education Level Mount olive Seaside park
No Schooling 2.3% (20) 0.0% (Data is updating)
High School Diploma 23.9% (210) 22.2% (327)
Less than High School 14.9% (131) 3.3% (49)
Bachelor's Degree and Higher 13.0% (114) 56.3% (830)

Education Levels Comparison: Mount olive vs Seaside park

  • A higher percentage of residents in Mount olive have no formal schooling at 2.3% compared to 0.0% in Seaside park.
  • A higher percentage of residents in Mount olive hold a high school diploma at 23.9% compared to 22.2% in Seaside park.
  • More residents in Mount olive have less than a high school education at 14.9% 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 13.0% in Mount olive.

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.