Demographics details for Forked river, NJ vs Oakland park, FL

Population Overview

Compare main population characteristics in Forked river, NJ vs Oakland park, FL.

Data Forked river Oakland park
Population 5,003 43,824
Median Age 46.9 years 39.1 years
Median Income $87,195 $64,989
Married Families 43.0% 30.0%
Poverty Level 6% 14%
Unemployment Rate 4.2 3.1

Population Comparison: Forked river vs Oakland park

  • The population in Oakland park is higher at 43,824, compared to 5,003 in Forked river.
  • Residents in Forked river have a higher median age of 46.9 years compared to 39.1 years in Oakland park.
  • Forked river has a higher median income of $87,195 compared to $64,989 in Oakland park.
  • A higher percentage of married families is found in Forked river at 43.0% compared to 30.0% in Oakland park.
  • The poverty level is higher in Oakland park at 14%, compared to 6% in Forked river.
  • The unemployment rate in Forked river is higher at 4.2%, compared to 3.1% in Oakland park.

Demographics

Demographics Forked river vs Oakland park provide insight into the diversity of the communities to compare.

Demographic Forked river Oakland park
Black 1 29
White 78 20
Asian 1 2
Hispanic 13 32
Two or More Races 6 17
American Indian 1 Data is updating

Demographics Comparison: Forked river vs Oakland park

  • In Oakland park, the percentage of Black residents is higher at 29% compared to 1% in Forked river.
  • Forked river has a higher percentage of White residents at 78% compared to 20% in Oakland park.
  • In Oakland park, the Asian population stands at 2%, greater than 1% in Forked river.
  • Oakland park has a higher percentage of Hispanic residents at 32%, compared to 13% in Forked river.
  • The percentage of residents identifying as two or more races is higher in Oakland park at 17%, compared to 6% in Forked river.
  • A greater percentage of American Indian residents live in Forked river at 1% compared to 0% in Oakland park.

Health Statistics

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

Health Metric Forked river Oakland park
Mental Health Not Good 15.9% 16.3%
Physical Health Not Good 10.6% 12.2%
Depression 23.2% 17.8%
Smoking 14.2% 20.1%
Binge Drinking 18.2% 15.0%
Obesity 31.5% 31.1%
Disability Percentage 12.0% 11.0%

Health Statistics Comparison: Forked river vs Oakland park

  • In Oakland park, a higher percentage report poor mental health at 16.3% compared to 15.9% in Forked river.
  • Depression is more prevalent in Forked river at 23.2% compared to 17.8% in Oakland park.
  • Oakland park has a higher smoking rate at 20.1% compared to 14.2% in Forked river.
  • Binge drinking is more common in Forked river at 18.2% compared to 15.0% in Oakland park.
  • Obesity rates are higher in Forked river at 31.5% compared to 31.1% in Oakland park.
  • Disability percentages are higher in Forked river at 12.0% compared to 11.0% in Oakland park.

Education Levels

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

Education Level Forked river Oakland park
No Schooling 0.4% (19) 1.4% (596)
High School Diploma 23.7% (1,186) 19.8% (8,695)
Less than High School 6.2% (309) 16.2% (7,092)
Bachelor's Degree and Higher 19.1% (954) 20.7% (9,073)

Education Levels Comparison: Forked river vs Oakland park

  • In Oakland park, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Forked river.
  • A higher percentage of residents in Forked river hold a high school diploma at 23.7% compared to 19.8% in Oakland park.
  • The percentage of residents with less than a high school education is higher in Oakland park at 16.2%, compared to 6.2% in Forked river.
  • In Oakland park, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 19.1% in Forked river.

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.