Demographics details for Kendall park, NJ vs Old forge, NY

Population Overview

Compare main population characteristics in Kendall park, NJ vs Old forge, NY.

Data Kendall park Old forge
Population 10,624 756
Median Age 44.5 years 45.0 years
Median Income $159,362 $60,000
Married Families 50.0% 55.0%
Poverty Level 2% 12%
Unemployment Rate 3.5 4.5

Population Comparison: Kendall park vs Old forge

  • In Kendall park, the population is higher at 10,624, compared to 756 in Old forge.
  • The median age in Old forge is higher at 45.0 years, compared to 44.5 years in Kendall park.
  • Kendall park has a higher median income of $159,362 compared to $60,000 in Old forge.
  • In Old forge, the percentage of married families is higher at 55.0%, compared to 50.0% in Kendall park.
  • The poverty level is higher in Old forge at 12%, compared to 2% in Kendall park.
  • Old forge has a higher unemployment rate at 4.5% compared to 3.5% in Kendall park.

Demographics

Demographics Kendall park vs Old forge provide insight into the diversity of the communities to compare.

Demographic Kendall park Old forge
Black 3 Data is updating
White 46 98
Asian 31 1
Hispanic 14 1
Two or More Races 6 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Kendall park vs Old forge

  • A higher percentage of Black residents are in Kendall park at 3% compared to 0% in Old forge.
  • The percentage of White residents is higher in Old forge at 98% compared to 46% in Kendall park.
  • The Asian population is larger in Kendall park at 31% compared to 1% in Old forge.
  • The Hispanic community is larger in Kendall park at 14% compared to 1% in Old forge.
  • More residents identify as two or more races in Kendall park at 6% compared to 0% in Old forge.
  • The percentage of American Indian residents is the same in both Kendall park and Old forge at 0%.

Health Statistics

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

Health Metric Kendall park Old forge
Mental Health Not Good 12.5% Data is updating%
Physical Health Not Good 7.2% Data is updating%
Depression 17.6% Data is updating%
Smoking 8.6% Data is updating%
Binge Drinking 15.0% Data is updating%
Obesity 25.1% Data is updating%
Disability Percentage 12.0% Data is updating%

Health Statistics Comparison: Kendall park vs Old forge

  • More residents in Kendall park report poor mental health at 12.5% compared to 0.0% in Old forge.
  • Depression is more prevalent in Kendall park at 17.6% compared to 0.0% in Old forge.
  • Smoking is more prevalent in Kendall park at 8.6% compared to 0.0% in Old forge.
  • Binge drinking is more common in Kendall park at 15.0% compared to 0.0% in Old forge.
  • Obesity rates are higher in Kendall park at 25.1% compared to 0.0% in Old forge.
  • Disability percentages are higher in Kendall park at 12.0% compared to 0.0% in Old forge.

Education Levels

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

Education Level Kendall park Old forge
No Schooling 0.2% (25) 0.0% (Data is updating)
High School Diploma 11.8% (1,256) 0.0% (Data is updating)
Less than High School 9.3% (992) 0.0% (Data is updating)
Bachelor's Degree and Higher 38.1% (4,052) 0.0% (Data is updating)

Education Levels Comparison: Kendall park vs Old forge

  • A higher percentage of residents in Kendall park have no formal schooling at 0.2% compared to 0.0% in Old forge.
  • A higher percentage of residents in Kendall park hold a high school diploma at 11.8% compared to 0.0% in Old forge.
  • More residents in Kendall park have less than a high school education at 9.3% compared to 0.0% in Old forge.
  • A higher percentage of residents in Kendall park hold a bachelor's degree or higher at 38.1% compared to 0.0% in Old forge.

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.