Demographics details for Suffolk, VA vs South plainfield, NJ

Population Overview

Compare main population characteristics in Suffolk, VA vs South plainfield, NJ.

Data Suffolk South plainfield
Population 98,537 24,228
Median Age 38.5 years 41.8 years
Median Income $87,758 $123,417
Married Families 40.0% 50.0%
Poverty Level 7% 6%
Unemployment Rate 3.2 4.2

Population Comparison: Suffolk vs South plainfield

  • In Suffolk, the population is higher at 98,537, compared to 24,228 in South plainfield.
  • The median age in South plainfield is higher at 41.8 years, compared to 38.5 years in Suffolk.
  • South plainfield has a higher median income of $123,417, compared to $87,758 in Suffolk.
  • In South plainfield, the percentage of married families is higher at 50.0%, compared to 40.0% in Suffolk.
  • Suffolk has a higher poverty level at 7% compared to 6% in South plainfield.
  • South plainfield has a higher unemployment rate at 4.2% compared to 3.2% in Suffolk.

Demographics

Demographics Suffolk vs South plainfield provide insight into the diversity of the communities to compare.

Demographic Suffolk South plainfield
Black 40 12
White 47 46
Asian 2 17
Hispanic 5 18
Two or More Races 6 7
American Indian Data is updating Data is updating

Demographics Comparison: Suffolk vs South plainfield

  • A higher percentage of Black residents are in Suffolk at 40% compared to 12% in South plainfield.
  • Suffolk has a higher percentage of White residents at 47% compared to 46% in South plainfield.
  • In South plainfield, the Asian population stands at 17%, greater than 2% in Suffolk.
  • South plainfield has a higher percentage of Hispanic residents at 18%, compared to 5% in Suffolk.
  • The percentage of residents identifying as two or more races is higher in South plainfield at 7%, compared to 6% in Suffolk.
  • The percentage of American Indian residents is the same in both Suffolk and South plainfield at 0%.

Health Statistics

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

Health Metric Suffolk South plainfield
Mental Health Not Good 16.6% 14.4%
Physical Health Not Good 10.6% 9.0%
Depression 21.4% 19.0%
Smoking 15.3% 12.0%
Binge Drinking 16.6% 15.2%
Obesity 42.4% 29.0%
Disability Percentage 11.0% 9.0%

Health Statistics Comparison: Suffolk vs South plainfield

  • More residents in Suffolk report poor mental health at 16.6% compared to 14.4% in South plainfield.
  • Depression is more prevalent in Suffolk at 21.4% compared to 19.0% in South plainfield.
  • Smoking is more prevalent in Suffolk at 15.3% compared to 12.0% in South plainfield.
  • Binge drinking is more common in Suffolk at 16.6% compared to 15.2% in South plainfield.
  • Obesity rates are higher in Suffolk at 42.4% compared to 29.0% in South plainfield.
  • Disability percentages are higher in Suffolk at 11.0% compared to 9.0% in South plainfield.

Education Levels

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

Education Level Suffolk South plainfield
No Schooling 1.0% (965) 1.4% (328)
High School Diploma 14.9% (14,643) 16.6% (4,012)
Less than High School 7.8% (7,701) 9.0% (2,175)
Bachelor's Degree and Higher 21.0% (20,740) 31.5% (7,629)

Education Levels Comparison: Suffolk vs South plainfield

  • In South plainfield, a larger percentage of residents lack formal schooling at 1.4% compared to 1.0% in Suffolk.
  • In South plainfield, the rate of residents with high school diplomas is higher at 16.6% compared to 14.9% in Suffolk.
  • The percentage of residents with less than a high school education is higher in South plainfield at 9.0%, compared to 7.8% in Suffolk.
  • In South plainfield, a larger share of residents have a bachelor's degree or higher at 31.5% compared to 21.0% in Suffolk.

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.