Demographics details for South river, NJ vs Phillipsburg, OH

Population Overview

Compare main population characteristics in South river, NJ vs Phillipsburg, OH.

Data South river Phillipsburg
Population 15,990 496
Median Age 37.1 years 33.6 years
Median Income $95,981 $56,250
Married Families 39.0% 31.0%
Poverty Level 8% 8%
Unemployment Rate 4.2 3.5

Population Comparison: South river vs Phillipsburg

  • In South river, the population is higher at 15,990, compared to 496 in Phillipsburg.
  • Residents in South river have a higher median age of 37.1 years compared to 33.6 years in Phillipsburg.
  • South river has a higher median income of $95,981 compared to $56,250 in Phillipsburg.
  • A higher percentage of married families is found in South river at 39.0% compared to 31.0% in Phillipsburg.
  • The poverty level is identical in both South river and Phillipsburg at 8%.
  • The unemployment rate in South river is higher at 4.2%, compared to 3.5% in Phillipsburg.

Demographics

Demographics South river vs Phillipsburg provide insight into the diversity of the communities to compare.

Demographic South river Phillipsburg
Black 7 Data is updating
White 50 96
Asian 5 Data is updating
Hispanic 30 4
Two or More Races 7 Data is updating
American Indian 1 Data is updating

Demographics Comparison: South river vs Phillipsburg

  • A higher percentage of Black residents are in South river at 7% compared to 0% in Phillipsburg.
  • The percentage of White residents is higher in Phillipsburg at 96% compared to 50% in South river.
  • The Asian population is larger in South river at 5% compared to 0% in Phillipsburg.
  • The Hispanic community is larger in South river at 30% compared to 4% in Phillipsburg.
  • More residents identify as two or more races in South river at 7% compared to 0% in Phillipsburg.
  • A greater percentage of American Indian residents live in South river at 1% compared to 0% in Phillipsburg.

Health Statistics

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

Health Metric South river Phillipsburg
Mental Health Not Good 16.0% 18.4%
Physical Health Not Good 10.4% 11.9%
Depression 21.0% 26.6%
Smoking 14.6% 19.1%
Binge Drinking 16.0% 19.6%
Obesity 31.6% 38.2%
Disability Percentage 11.0% 9.0%

Health Statistics Comparison: South river vs Phillipsburg

  • In Phillipsburg, a higher percentage report poor mental health at 18.4% compared to 16.0% in South river.
  • Higher depression rates are seen in Phillipsburg at 26.6% versus 21.0% in South river.
  • Phillipsburg has a higher smoking rate at 19.1% compared to 14.6% in South river.
  • More residents engage in binge drinking in Phillipsburg at 19.6% compared to 16.0% in South river.
  • Phillipsburg has higher obesity rates at 38.2% compared to 31.6% in South river.
  • Disability percentages are higher in South river at 11.0% compared to 9.0% in Phillipsburg.

Education Levels

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

Education Level South river Phillipsburg
No Schooling 2.5% (394) 0.0% (Data is updating)
High School Diploma 18.7% (2,985) 16.9% (84)
Less than High School 20.6% (3,292) 10.1% (50)
Bachelor's Degree and Higher 18.9% (3,025) 9.1% (45)

Education Levels Comparison: South river vs Phillipsburg

  • A higher percentage of residents in South river have no formal schooling at 2.5% compared to 0.0% in Phillipsburg.
  • A higher percentage of residents in South river hold a high school diploma at 18.7% compared to 16.9% in Phillipsburg.
  • More residents in South river have less than a high school education at 20.6% compared to 10.1% in Phillipsburg.
  • A higher percentage of residents in South river hold a bachelor's degree or higher at 18.9% compared to 9.1% in Phillipsburg.

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.