Demographics details for Daytona beach, FL vs Rutherford, NJ

Population Overview

Compare main population characteristics in Daytona beach, FL vs Rutherford, NJ.

Data Daytona beach Rutherford
Population 77,958 18,662
Median Age 40.2 years 40.5 years
Median Income $47,608 $128,576
Married Families 27.0% 42.0%
Poverty Level 15% 9%
Unemployment Rate 5.0 3.4

Population Comparison: Daytona beach vs Rutherford

  • In Daytona beach, the population is higher at 77,958, compared to 18,662 in Rutherford.
  • The median age in Rutherford is higher at 40.5 years, compared to 40.2 years in Daytona beach.
  • Rutherford has a higher median income of $128,576, compared to $47,608 in Daytona beach.
  • In Rutherford, the percentage of married families is higher at 42.0%, compared to 27.0% in Daytona beach.
  • Daytona beach has a higher poverty level at 15% compared to 9% in Rutherford.
  • The unemployment rate in Daytona beach is higher at 5.0%, compared to 3.4% in Rutherford.

Demographics

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

Demographic Daytona beach Rutherford
Black 30 3
White 52 49
Asian 3 16
Hispanic 10 21
Two or More Races 5 11
American Indian Data is updating Data is updating

Demographics Comparison: Daytona beach vs Rutherford

  • A higher percentage of Black residents are in Daytona beach at 30% compared to 3% in Rutherford.
  • Daytona beach has a higher percentage of White residents at 52% compared to 49% in Rutherford.
  • In Rutherford, the Asian population stands at 16%, greater than 3% in Daytona beach.
  • Rutherford has a higher percentage of Hispanic residents at 21%, compared to 10% in Daytona beach.
  • The percentage of residents identifying as two or more races is higher in Rutherford at 11%, compared to 5% in Daytona beach.
  • The percentage of American Indian residents is the same in both Daytona beach and Rutherford at 0%.

Health Statistics

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

Health Metric Daytona beach Rutherford
Mental Health Not Good 17.9% 13.2%
Physical Health Not Good 13.9% 7.8%
Depression 20.8% 17.0%
Smoking 25.2% 10.8%
Binge Drinking 16.0% 17.6%
Obesity 38.5% 24.9%
Disability Percentage 17.0% 9.0%

Health Statistics Comparison: Daytona beach vs Rutherford

  • More residents in Daytona beach report poor mental health at 17.9% compared to 13.2% in Rutherford.
  • Depression is more prevalent in Daytona beach at 20.8% compared to 17.0% in Rutherford.
  • Smoking is more prevalent in Daytona beach at 25.2% compared to 10.8% in Rutherford.
  • More residents engage in binge drinking in Rutherford at 17.6% compared to 16.0% in Daytona beach.
  • Obesity rates are higher in Daytona beach at 38.5% compared to 24.9% in Rutherford.
  • Disability percentages are higher in Daytona beach at 17.0% 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 Daytona beach Rutherford
No Schooling 1.4% (1,065) 0.9% (161)
High School Diploma 17.5% (13,654) 12.4% (2,318)
Less than High School 11.3% (8,833) 6.3% (1,175)
Bachelor's Degree and Higher 16.5% (12,881) 38.9% (7,259)

Education Levels Comparison: Daytona beach vs Rutherford

  • A higher percentage of residents in Daytona beach have no formal schooling at 1.4% compared to 0.9% in Rutherford.
  • A higher percentage of residents in Daytona beach hold a high school diploma at 17.5% compared to 12.4% in Rutherford.
  • More residents in Daytona beach have less than a high school education at 11.3% compared to 6.3% in Rutherford.
  • In Rutherford, a larger share of residents have a bachelor's degree or higher at 38.9% compared to 16.5% in Daytona beach.

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.