Demographics details for Waynesfield, OH vs Mullica hill, NJ

Population Overview

Compare main population characteristics in Waynesfield, OH vs Mullica hill, NJ.

Data Waynesfield Mullica hill
Population 736 4,454
Median Age 35.4 years 41.0 years
Median Income $63,750 $123,265
Married Families 36.0% 46.0%
Poverty Level Data is updating 4%
Unemployment Rate 4.5 3.2

Population Comparison: Waynesfield vs Mullica hill

  • The population in Mullica hill is higher at 4,454, compared to 736 in Waynesfield.
  • The median age in Mullica hill is higher at 41.0 years, compared to 35.4 years in Waynesfield.
  • Mullica hill has a higher median income of $123,265, compared to $63,750 in Waynesfield.
  • In Mullica hill, the percentage of married families is higher at 46.0%, compared to 36.0% in Waynesfield.
  • The poverty level is higher in Mullica hill at 4%, compared to 0% in Waynesfield.
  • The unemployment rate in Waynesfield is higher at 4.5%, compared to 3.2% in Mullica hill.

Demographics

Demographics Waynesfield vs Mullica hill provide insight into the diversity of the communities to compare.

Demographic Waynesfield Mullica hill
Black 1 11
White 91 74
Asian Data is updating 4
Hispanic 3 4
Two or More Races 5 7
American Indian Data is updating Data is updating

Demographics Comparison: Waynesfield vs Mullica hill

  • In Mullica hill, the percentage of Black residents is higher at 11% compared to 1% in Waynesfield.
  • Waynesfield has a higher percentage of White residents at 91% compared to 74% in Mullica hill.
  • In Mullica hill, the Asian population stands at 4%, greater than 0% in Waynesfield.
  • Mullica hill has a higher percentage of Hispanic residents at 4%, compared to 3% in Waynesfield.
  • The percentage of residents identifying as two or more races is higher in Mullica hill at 7%, compared to 5% in Waynesfield.
  • The percentage of American Indian residents is the same in both Waynesfield and Mullica hill at 0%.

Health Statistics

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

Health Metric Waynesfield Mullica hill
Mental Health Not Good 17.3% 13.7%
Physical Health Not Good 11.4% 7.9%
Depression 23.2% 20.9%
Smoking 19.6% 10.3%
Binge Drinking 19.3% 20.0%
Obesity 37.4% 27.7%
Disability Percentage 7.0% 12.0%

Health Statistics Comparison: Waynesfield vs Mullica hill

  • More residents in Waynesfield report poor mental health at 17.3% compared to 13.7% in Mullica hill.
  • Depression is more prevalent in Waynesfield at 23.2% compared to 20.9% in Mullica hill.
  • Smoking is more prevalent in Waynesfield at 19.6% compared to 10.3% in Mullica hill.
  • More residents engage in binge drinking in Mullica hill at 20.0% compared to 19.3% in Waynesfield.
  • Obesity rates are higher in Waynesfield at 37.4% compared to 27.7% in Mullica hill.
  • There is a higher percentage of disabled individuals in Mullica hill at 12.0% compared to 7.0% in Waynesfield.

Education Levels

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

Education Level Waynesfield Mullica hill
No Schooling 1.8% (13) 0.7% (33)
High School Diploma 24.3% (179) 12.9% (576)
Less than High School 9.8% (72) 5.5% (244)
Bachelor's Degree and Higher 10.2% (75) 36.2% (1,612)

Education Levels Comparison: Waynesfield vs Mullica hill

  • A higher percentage of residents in Waynesfield have no formal schooling at 1.8% compared to 0.7% in Mullica hill.
  • A higher percentage of residents in Waynesfield hold a high school diploma at 24.3% compared to 12.9% in Mullica hill.
  • More residents in Waynesfield have less than a high school education at 9.8% compared to 5.5% in Mullica hill.
  • In Mullica hill, a larger share of residents have a bachelor's degree or higher at 36.2% compared to 10.2% in Waynesfield.

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.