Demographics details for Daytona beach, FL vs Milledgeville, GA

Population Overview

Compare main population characteristics in Daytona beach, FL vs Milledgeville, GA.

Data Daytona beach Milledgeville
Population 77,958 16,837
Median Age 40.2 years 26.5 years
Median Income $47,608 $40,672
Married Families 27.0% 20.0%
Poverty Level 15% 24%
Unemployment Rate 5.0 4.5

Population Comparison: Daytona beach vs Milledgeville

  • In Daytona beach, the population is higher at 77,958, compared to 16,837 in Milledgeville.
  • Residents in Daytona beach have a higher median age of 40.2 years compared to 26.5 years in Milledgeville.
  • Daytona beach has a higher median income of $47,608 compared to $40,672 in Milledgeville.
  • A higher percentage of married families is found in Daytona beach at 27.0% compared to 20.0% in Milledgeville.
  • The poverty level is higher in Milledgeville at 24%, compared to 15% in Daytona beach.
  • The unemployment rate in Daytona beach is higher at 5.0%, compared to 4.5% in Milledgeville.

Demographics

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

Demographic Daytona beach Milledgeville
Black 30 45
White 52 47
Asian 3 3
Hispanic 10 3
Two or More Races 5 2
American Indian Data is updating Data is updating

Demographics Comparison: Daytona beach vs Milledgeville

  • In Milledgeville, the percentage of Black residents is higher at 45% compared to 30% in Daytona beach.
  • Daytona beach has a higher percentage of White residents at 52% compared to 47% in Milledgeville.
  • Both Daytona beach and Milledgeville have the same percentage of Asian residents at 3%.
  • The Hispanic community is larger in Daytona beach at 10% compared to 3% in Milledgeville.
  • More residents identify as two or more races in Daytona beach at 5% compared to 2% in Milledgeville.
  • The percentage of American Indian residents is the same in both Daytona beach and Milledgeville at 0%.

Health Statistics

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

Health Metric Daytona beach Milledgeville
Mental Health Not Good 17.9% 18.3%
Physical Health Not Good 13.9% 14.1%
Depression 20.8% 20.6%
Smoking 25.2% 21.1%
Binge Drinking 16.0% 14.2%
Obesity 38.5% 42.7%
Disability Percentage 17.0% 13.0%

Health Statistics Comparison: Daytona beach vs Milledgeville

  • In Milledgeville, a higher percentage report poor mental health at 18.3% compared to 17.9% in Daytona beach.
  • Depression is more prevalent in Daytona beach at 20.8% compared to 20.6% in Milledgeville.
  • Smoking is more prevalent in Daytona beach at 25.2% compared to 21.1% in Milledgeville.
  • Binge drinking is more common in Daytona beach at 16.0% compared to 14.2% in Milledgeville.
  • Milledgeville has higher obesity rates at 42.7% compared to 38.5% in Daytona beach.
  • Disability percentages are higher in Daytona beach at 17.0% compared to 13.0% in Milledgeville.

Education Levels

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

Education Level Daytona beach Milledgeville
No Schooling 1.4% (1,065) 0.8% (139)
High School Diploma 17.5% (13,654) 11.0% (1,844)
Less than High School 11.3% (8,833) 12.1% (2,041)
Bachelor's Degree and Higher 16.5% (12,881) 13.3% (2,237)

Education Levels Comparison: Daytona beach vs Milledgeville

  • A higher percentage of residents in Daytona beach have no formal schooling at 1.4% compared to 0.8% in Milledgeville.
  • A higher percentage of residents in Daytona beach hold a high school diploma at 17.5% compared to 11.0% in Milledgeville.
  • The percentage of residents with less than a high school education is higher in Milledgeville at 12.1%, compared to 11.3% in Daytona beach.
  • A higher percentage of residents in Daytona beach hold a bachelor's degree or higher at 16.5% compared to 13.3% in Milledgeville.

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.