Demographics details for Mullica hill, NJ vs Ballard, WV

Population Overview

Compare main population characteristics in Mullica hill, NJ vs Ballard, WV.

Data Mullica hill Ballard
Population 4,454 187
Median Age 41.0 years 40.0 years
Median Income $123,265 $60,000
Married Families 46.0% 50.0%
Poverty Level 4% 12%
Unemployment Rate 3.2 5.0

Population Comparison: Mullica hill vs Ballard

  • In Mullica hill, the population is higher at 4,454, compared to 187 in Ballard.
  • Residents in Mullica hill have a higher median age of 41.0 years compared to 40.0 years in Ballard.
  • Mullica hill has a higher median income of $123,265 compared to $60,000 in Ballard.
  • In Ballard, the percentage of married families is higher at 50.0%, compared to 46.0% in Mullica hill.
  • The poverty level is higher in Ballard at 12%, compared to 4% in Mullica hill.
  • Ballard has a higher unemployment rate at 5.0% compared to 3.2% in Mullica hill.

Demographics

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

Demographic Mullica hill Ballard
Black 11 Data is updating
White 74 100
Asian 4 Data is updating
Hispanic 4 Data is updating
Two or More Races 7 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Mullica hill vs Ballard

  • A higher percentage of Black residents are in Mullica hill at 11% compared to 0% in Ballard.
  • The percentage of White residents is higher in Ballard at 100% compared to 74% in Mullica hill.
  • The Asian population is larger in Mullica hill at 4% compared to 0% in Ballard.
  • The Hispanic community is larger in Mullica hill at 4% compared to 0% in Ballard.
  • More residents identify as two or more races in Mullica hill at 7% compared to 0% in Ballard.
  • The percentage of American Indian residents is the same in both Mullica hill and Ballard at 0%.

Health Statistics

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

Health Metric Mullica hill Ballard
Mental Health Not Good 13.7% Data is updating%
Physical Health Not Good 7.9% Data is updating%
Depression 20.9% Data is updating%
Smoking 10.3% Data is updating%
Binge Drinking 20.0% Data is updating%
Obesity 27.7% Data is updating%
Disability Percentage 12.0% Data is updating%

Health Statistics Comparison: Mullica hill vs Ballard

  • More residents in Mullica hill report poor mental health at 13.7% compared to 0.0% in Ballard.
  • Depression is more prevalent in Mullica hill at 20.9% compared to 0.0% in Ballard.
  • Smoking is more prevalent in Mullica hill at 10.3% compared to 0.0% in Ballard.
  • Binge drinking is more common in Mullica hill at 20.0% compared to 0.0% in Ballard.
  • Obesity rates are higher in Mullica hill at 27.7% compared to 0.0% in Ballard.
  • Disability percentages are higher in Mullica hill at 12.0% compared to 0.0% in Ballard.

Education Levels

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

Education Level Mullica hill Ballard
No Schooling 0.7% (33) 0.0% (Data is updating)
High School Diploma 12.9% (576) 0.0% (Data is updating)
Less than High School 5.5% (244) 0.0% (Data is updating)
Bachelor's Degree and Higher 36.2% (1,612) 0.0% (Data is updating)

Education Levels Comparison: Mullica hill vs Ballard

  • A higher percentage of residents in Mullica hill have no formal schooling at 0.7% compared to 0.0% in Ballard.
  • A higher percentage of residents in Mullica hill hold a high school diploma at 12.9% compared to 0.0% in Ballard.
  • More residents in Mullica hill have less than a high school education at 5.5% compared to 0.0% in Ballard.
  • A higher percentage of residents in Mullica hill hold a bachelor's degree or higher at 36.2% compared to 0.0% in Ballard.

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.