Demographics details for Mokelumne hill, CA vs Mullica hill, NJ

Population Overview

Compare main population characteristics in Mokelumne hill, CA vs Mullica hill, NJ.

Data Mokelumne hill Mullica hill
Population 808 4,454
Median Age 61.8 years 41.0 years
Median Income $81,483 $123,265
Married Families 65.0% 46.0%
Poverty Level 10% 4%
Unemployment Rate 3.5 3.2

Population Comparison: Mokelumne hill vs Mullica hill

  • The population in Mullica hill is higher at 4,454, compared to 808 in Mokelumne hill.
  • Residents in Mokelumne hill have a higher median age of 61.8 years compared to 41.0 years in Mullica hill.
  • Mullica hill has a higher median income of $123,265, compared to $81,483 in Mokelumne hill.
  • A higher percentage of married families is found in Mokelumne hill at 65.0% compared to 46.0% in Mullica hill.
  • Mokelumne hill has a higher poverty level at 10% compared to 4% in Mullica hill.
  • The unemployment rate in Mokelumne hill is higher at 3.5%, compared to 3.2% in Mullica hill.

Demographics

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

Demographic Mokelumne hill Mullica hill
Black 15 11
White 48 74
Asian Data is updating 4
Hispanic 24 4
Two or More Races 13 7
American Indian Data is updating Data is updating

Demographics Comparison: Mokelumne hill vs Mullica hill

  • A higher percentage of Black residents are in Mokelumne hill at 15% compared to 11% in Mullica hill.
  • The percentage of White residents is higher in Mullica hill at 74% compared to 48% in Mokelumne hill.
  • In Mullica hill, the Asian population stands at 4%, greater than 0% in Mokelumne hill.
  • The Hispanic community is larger in Mokelumne hill at 24% compared to 4% in Mullica hill.
  • More residents identify as two or more races in Mokelumne hill at 13% compared to 7% in Mullica hill.
  • The percentage of American Indian residents is the same in both Mokelumne hill and Mullica hill at 0%.

Health Statistics

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

Health Metric Mokelumne hill Mullica hill
Mental Health Not Good 19.8% 13.7%
Physical Health Not Good 13.6% 7.9%
Depression 24.2% 20.9%
Smoking 17.6% 10.3%
Binge Drinking 16.7% 20.0%
Obesity 32.4% 27.7%
Disability Percentage 9.0% 12.0%

Health Statistics Comparison: Mokelumne hill vs Mullica hill

  • More residents in Mokelumne hill report poor mental health at 19.8% compared to 13.7% in Mullica hill.
  • Depression is more prevalent in Mokelumne hill at 24.2% compared to 20.9% in Mullica hill.
  • Smoking is more prevalent in Mokelumne hill at 17.6% compared to 10.3% in Mullica hill.
  • More residents engage in binge drinking in Mullica hill at 20.0% compared to 16.7% in Mokelumne hill.
  • Obesity rates are higher in Mokelumne hill at 32.4% compared to 27.7% in Mullica hill.
  • There is a higher percentage of disabled individuals in Mullica hill at 12.0% compared to 9.0% in Mokelumne hill.

Education Levels

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

Education Level Mokelumne hill Mullica hill
No Schooling 0.0% (Data is updating) 0.7% (33)
High School Diploma 12.5% (101) 12.9% (576)
Less than High School 8.7% (70) 5.5% (244)
Bachelor's Degree and Higher 20.2% (163) 36.2% (1,612)

Education Levels Comparison: Mokelumne hill vs Mullica hill

  • In Mullica hill, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Mokelumne hill.
  • In Mullica hill, the rate of residents with high school diplomas is higher at 12.9% compared to 12.5% in Mokelumne hill.
  • More residents in Mokelumne hill have less than a high school education at 8.7% 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 20.2% in Mokelumne hill.

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.