Demographics details for Rutherford, NJ vs Riegelwood, NC

Population Overview

Compare main population characteristics in Rutherford, NJ vs Riegelwood, NC.

Data Rutherford Riegelwood
Population 18,662 658
Median Age 40.5 years 54.2 years
Median Income $128,576 $42,452
Married Families 42.0% 59.0%
Poverty Level 9% 15%
Unemployment Rate 3.4 4.2

Population Comparison: Rutherford vs Riegelwood

  • In Rutherford, the population is higher at 18,662, compared to 658 in Riegelwood.
  • The median age in Riegelwood is higher at 54.2 years, compared to 40.5 years in Rutherford.
  • Rutherford has a higher median income of $128,576 compared to $42,452 in Riegelwood.
  • In Riegelwood, the percentage of married families is higher at 59.0%, compared to 42.0% in Rutherford.
  • The poverty level is higher in Riegelwood at 15%, compared to 9% in Rutherford.
  • Riegelwood has a higher unemployment rate at 4.2% compared to 3.4% in Rutherford.

Demographics

Demographics Rutherford vs Riegelwood provide insight into the diversity of the communities to compare.

Demographic Rutherford Riegelwood
Black 3 26
White 49 60
Asian 16 Data is updating
Hispanic 21 4
Two or More Races 11 5
American Indian Data is updating 5

Demographics Comparison: Rutherford vs Riegelwood

  • In Riegelwood, the percentage of Black residents is higher at 26% compared to 3% in Rutherford.
  • The percentage of White residents is higher in Riegelwood at 60% compared to 49% in Rutherford.
  • The Asian population is larger in Rutherford at 16% compared to 0% in Riegelwood.
  • The Hispanic community is larger in Rutherford at 21% compared to 4% in Riegelwood.
  • More residents identify as two or more races in Rutherford at 11% compared to 5% in Riegelwood.
  • In Riegelwood, the percentage of American Indian residents is higher at 5%, compared to 0% in Rutherford.

Health Statistics

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

Health Metric Rutherford Riegelwood
Mental Health Not Good 13.2% 17.9%
Physical Health Not Good 7.8% 12.8%
Depression 17.0% 24.7%
Smoking 10.8% 21.1%
Binge Drinking 17.6% 16.6%
Obesity 24.9% 40.7%
Disability Percentage 9.0% 22.0%

Health Statistics Comparison: Rutherford vs Riegelwood

  • In Riegelwood, a higher percentage report poor mental health at 17.9% compared to 13.2% in Rutherford.
  • Higher depression rates are seen in Riegelwood at 24.7% versus 17.0% in Rutherford.
  • Riegelwood has a higher smoking rate at 21.1% compared to 10.8% in Rutherford.
  • Binge drinking is more common in Rutherford at 17.6% compared to 16.6% in Riegelwood.
  • Riegelwood has higher obesity rates at 40.7% compared to 24.9% in Rutherford.
  • There is a higher percentage of disabled individuals in Riegelwood at 22.0% compared to 9.0% in Rutherford.

Education Levels

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

Education Level Rutherford Riegelwood
No Schooling 0.9% (161) 0.0% (Data is updating)
High School Diploma 12.4% (2,318) 47.6% (313)
Less than High School 6.3% (1,175) 2.1% (14)
Bachelor's Degree and Higher 38.9% (7,259) 2.7% (18)

Education Levels Comparison: Rutherford vs Riegelwood

  • A higher percentage of residents in Rutherford have no formal schooling at 0.9% compared to 0.0% in Riegelwood.
  • In Riegelwood, the rate of residents with high school diplomas is higher at 47.6% compared to 12.4% in Rutherford.
  • More residents in Rutherford have less than a high school education at 6.3% compared to 2.1% in Riegelwood.
  • A higher percentage of residents in Rutherford hold a bachelor's degree or higher at 38.9% compared to 2.7% in Riegelwood.

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.