Demographics details for Parsippany, NJ vs Snellville, GA

Population Overview

Compare main population characteristics in Parsippany, NJ vs Snellville, GA.

Data Parsippany Snellville
Population 55,970 22,024
Median Age 42.2 years 42.1 years
Median Income $109,308 $88,586
Married Families 46.0% 42.0%
Poverty Level 5% 10%
Unemployment Rate 3.2 3.5

Population Comparison: Parsippany vs Snellville

  • In Parsippany, the population is higher at 55,970, compared to 22,024 in Snellville.
  • Residents in Parsippany have a higher median age of 42.2 years compared to 42.1 years in Snellville.
  • Parsippany has a higher median income of $109,308 compared to $88,586 in Snellville.
  • A higher percentage of married families is found in Parsippany at 46.0% compared to 42.0% in Snellville.
  • The poverty level is higher in Snellville at 10%, compared to 5% in Parsippany.
  • Snellville has a higher unemployment rate at 3.5% compared to 3.2% in Parsippany.

Demographics

Demographics Parsippany vs Snellville provide insight into the diversity of the communities to compare.

Demographic Parsippany Snellville
Black 3 38
White 46 34
Asian 37 9
Hispanic 8 13
Two or More Races 6 6
American Indian Data is updating Data is updating

Demographics Comparison: Parsippany vs Snellville

  • In Snellville, the percentage of Black residents is higher at 38% compared to 3% in Parsippany.
  • Parsippany has a higher percentage of White residents at 46% compared to 34% in Snellville.
  • The Asian population is larger in Parsippany at 37% compared to 9% in Snellville.
  • Snellville has a higher percentage of Hispanic residents at 13%, compared to 8% in Parsippany.
  • Both Parsippany and Snellville have the same percentage of residents identifying as two or more races at 6%.
  • The percentage of American Indian residents is the same in both Parsippany and Snellville at 0%.

Health Statistics

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

Health Metric Parsippany Snellville
Mental Health Not Good Data is updating% 14.6%
Physical Health Not Good Data is updating% 9.7%
Depression Data is updating% 18.2%
Smoking Data is updating% 13.1%
Binge Drinking Data is updating% 15.1%
Obesity Data is updating% 31.9%
Disability Percentage 9.0% 11.0%

Health Statistics Comparison: Parsippany vs Snellville

  • In Snellville, a higher percentage report poor mental health at 14.6% compared to 0.0% in Parsippany.
  • Higher depression rates are seen in Snellville at 18.2% versus 0.0% in Parsippany.
  • Snellville has a higher smoking rate at 13.1% compared to 0.0% in Parsippany.
  • More residents engage in binge drinking in Snellville at 15.1% compared to 0.0% in Parsippany.
  • Snellville has higher obesity rates at 31.9% compared to 0.0% in Parsippany.
  • There is a higher percentage of disabled individuals in Snellville at 11.0% compared to 9.0% in Parsippany.

Education Levels

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

Education Level Parsippany Snellville
No Schooling 1.1% (593) 0.4% (94)
High School Diploma 11.6% (6,520) 13.5% (2,970)
Less than High School 6.5% (3,654) 10.1% (2,226)
Bachelor's Degree and Higher 44.5% (24,911) 24.8% (5,469)

Education Levels Comparison: Parsippany vs Snellville

  • A higher percentage of residents in Parsippany have no formal schooling at 1.1% compared to 0.4% in Snellville.
  • In Snellville, the rate of residents with high school diplomas is higher at 13.5% compared to 11.6% in Parsippany.
  • The percentage of residents with less than a high school education is higher in Snellville at 10.1%, compared to 6.5% in Parsippany.
  • A higher percentage of residents in Parsippany hold a bachelor's degree or higher at 44.5% compared to 24.8% in Snellville.

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.