Demographics details for Pittsburgh, PA vs South plainfield, NJ

Population Overview

Compare main population characteristics in Pittsburgh, PA vs South plainfield, NJ.

Data Pittsburgh South plainfield
Population 302,898 24,228
Median Age 33.5 years 41.8 years
Median Income $60,187 $123,417
Married Families 26.0% 50.0%
Poverty Level 15% 6%
Unemployment Rate 3.4 4.2

Population Comparison: Pittsburgh vs South plainfield

  • In Pittsburgh, the population is higher at 302,898, compared to 24,228 in South plainfield.
  • The median age in South plainfield is higher at 41.8 years, compared to 33.5 years in Pittsburgh.
  • South plainfield has a higher median income of $123,417, compared to $60,187 in Pittsburgh.
  • In South plainfield, the percentage of married families is higher at 50.0%, compared to 26.0% in Pittsburgh.
  • Pittsburgh has a higher poverty level at 15% compared to 6% in South plainfield.
  • South plainfield has a higher unemployment rate at 4.2% compared to 3.4% in Pittsburgh.

Demographics

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

Demographic Pittsburgh South plainfield
Black 23 12
White 62 46
Asian 6 17
Hispanic 4 18
Two or More Races 5 7
American Indian Data is updating Data is updating

Demographics Comparison: Pittsburgh vs South plainfield

  • A higher percentage of Black residents are in Pittsburgh at 23% compared to 12% in South plainfield.
  • Pittsburgh has a higher percentage of White residents at 62% compared to 46% in South plainfield.
  • In South plainfield, the Asian population stands at 17%, greater than 6% in Pittsburgh.
  • South plainfield has a higher percentage of Hispanic residents at 18%, compared to 4% in Pittsburgh.
  • The percentage of residents identifying as two or more races is higher in South plainfield at 7%, compared to 5% in Pittsburgh.
  • The percentage of American Indian residents is the same in both Pittsburgh and South plainfield at 0%.

Health Statistics

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

Health Metric Pittsburgh South plainfield
Mental Health Not Good 16.3% 14.4%
Physical Health Not Good 11.7% 9.0%
Depression 21.1% 19.0%
Smoking 18.8% 12.0%
Binge Drinking 19.3% 15.2%
Obesity 35.0% 29.0%
Disability Percentage 14.0% 9.0%

Health Statistics Comparison: Pittsburgh vs South plainfield

  • More residents in Pittsburgh report poor mental health at 16.3% compared to 14.4% in South plainfield.
  • Depression is more prevalent in Pittsburgh at 21.1% compared to 19.0% in South plainfield.
  • Smoking is more prevalent in Pittsburgh at 18.8% compared to 12.0% in South plainfield.
  • Binge drinking is more common in Pittsburgh at 19.3% compared to 15.2% in South plainfield.
  • Obesity rates are higher in Pittsburgh at 35.0% compared to 29.0% in South plainfield.
  • Disability percentages are higher in Pittsburgh at 14.0% 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 Pittsburgh South plainfield
No Schooling 0.6% (1,955) 1.4% (328)
High School Diploma 13.9% (42,015) 16.6% (4,012)
Less than High School 6.6% (20,087) 9.0% (2,175)
Bachelor's Degree and Higher 32.1% (97,219) 31.5% (7,629)

Education Levels Comparison: Pittsburgh vs South plainfield

  • In South plainfield, a larger percentage of residents lack formal schooling at 1.4% compared to 0.6% in Pittsburgh.
  • In South plainfield, the rate of residents with high school diplomas is higher at 16.6% compared to 13.9% in Pittsburgh.
  • The percentage of residents with less than a high school education is higher in South plainfield at 9.0%, compared to 6.6% in Pittsburgh.
  • A higher percentage of residents in Pittsburgh hold a bachelor's degree or higher at 32.1% compared to 31.5% in South plainfield.

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.