Demographics details for North bangor, NY vs Villas, NJ

Population Overview

Compare main population characteristics in North bangor, NY vs Villas, NJ.

Data North bangor Villas
Population 134 9,925
Median Age 48.0 years 42.4 years
Median Income $53,333 $74,182
Married Families 66.0% 42.0%
Poverty Level 10% 6%
Unemployment Rate 4.0 4.2

Population Comparison: North bangor vs Villas

  • The population in Villas is higher at 9,925, compared to 134 in North bangor.
  • Residents in North bangor have a higher median age of 48.0 years compared to 42.4 years in Villas.
  • Villas has a higher median income of $74,182, compared to $53,333 in North bangor.
  • A higher percentage of married families is found in North bangor at 66.0% compared to 42.0% in Villas.
  • North bangor has a higher poverty level at 10% compared to 6% in Villas.
  • Villas has a higher unemployment rate at 4.2% compared to 4.0% in North bangor.

Demographics

Demographics North bangor vs Villas provide insight into the diversity of the communities to compare.

Demographic North bangor Villas
Black Data is updating 1
White 100 88
Asian Data is updating 1
Hispanic Data is updating 6
Two or More Races Data is updating 6
American Indian Data is updating Data is updating

Demographics Comparison: North bangor vs Villas

  • In Villas, the percentage of Black residents is higher at 1% compared to 0% in North bangor.
  • North bangor has a higher percentage of White residents at 100% compared to 88% in Villas.
  • In Villas, the Asian population stands at 1%, greater than 0% in North bangor.
  • Villas has a higher percentage of Hispanic residents at 6%, compared to 0% in North bangor.
  • The percentage of residents identifying as two or more races is higher in Villas at 6%, compared to 0% in North bangor.
  • The percentage of American Indian residents is the same in both North bangor and Villas at 0%.

Health Statistics

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

Health Metric North bangor Villas
Mental Health Not Good Data is updating% 17.8%
Physical Health Not Good Data is updating% 12.2%
Depression Data is updating% 25.1%
Smoking Data is updating% 19.2%
Binge Drinking Data is updating% 18.9%
Obesity Data is updating% 34.4%
Disability Percentage Data is updating% 18.0%

Health Statistics Comparison: North bangor vs Villas

  • In Villas, a higher percentage report poor mental health at 17.8% compared to 0.0% in North bangor.
  • Higher depression rates are seen in Villas at 25.1% versus 0.0% in North bangor.
  • Villas has a higher smoking rate at 19.2% compared to 0.0% in North bangor.
  • More residents engage in binge drinking in Villas at 18.9% compared to 0.0% in North bangor.
  • Villas has higher obesity rates at 34.4% compared to 0.0% in North bangor.
  • There is a higher percentage of disabled individuals in Villas at 18.0% compared to 0.0% in North bangor.

Education Levels

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

Education Level North bangor Villas
No Schooling 0.0% (Data is updating) 0.9% (89)
High School Diploma 0.0% (Data is updating) 24.7% (2,455)
Less than High School 0.0% (Data is updating) 9.5% (946)
Bachelor's Degree and Higher 0.0% (Data is updating) 17.4% (1,724)

Education Levels Comparison: North bangor vs Villas

  • In Villas, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in North bangor.
  • In Villas, the rate of residents with high school diplomas is higher at 24.7% compared to 0.0% in North bangor.
  • The percentage of residents with less than a high school education is higher in Villas at 9.5%, compared to 0.0% in North bangor.
  • In Villas, a larger share of residents have a bachelor's degree or higher at 17.4% compared to 0.0% in North bangor.

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.