Demographics details for Winder, GA vs Jacksonville beach, FL

Population Overview

Compare main population characteristics in Winder, GA vs Jacksonville beach, FL.

Data Winder Jacksonville beach
Population 19,400 23,521
Median Age 36.4 years 43.3 years
Median Income $57,365 $109,649
Married Families 34.0% 41.0%
Poverty Level 13% 8%
Unemployment Rate 3.5 5.1

Population Comparison: Winder vs Jacksonville beach

  • The population in Jacksonville beach is higher at 23,521, compared to 19,400 in Winder.
  • The median age in Jacksonville beach is higher at 43.3 years, compared to 36.4 years in Winder.
  • Jacksonville beach has a higher median income of $109,649, compared to $57,365 in Winder.
  • In Jacksonville beach, the percentage of married families is higher at 41.0%, compared to 34.0% in Winder.
  • Winder has a higher poverty level at 13% compared to 8% in Jacksonville beach.
  • Jacksonville beach has a higher unemployment rate at 5.1% compared to 3.5% in Winder.

Demographics

Demographics Winder vs Jacksonville beach provide insight into the diversity of the communities to compare.

Demographic Winder Jacksonville beach
Black 20 2
White 53 85
Asian 2 2
Hispanic 15 6
Two or More Races 10 5
American Indian Data is updating Data is updating

Demographics Comparison: Winder vs Jacksonville beach

  • A higher percentage of Black residents are in Winder at 20% compared to 2% in Jacksonville beach.
  • The percentage of White residents is higher in Jacksonville beach at 85% compared to 53% in Winder.
  • Both Winder and Jacksonville beach have the same percentage of Asian residents at 2%.
  • The Hispanic community is larger in Winder at 15% compared to 6% in Jacksonville beach.
  • More residents identify as two or more races in Winder at 10% compared to 5% in Jacksonville beach.
  • The percentage of American Indian residents is the same in both Winder and Jacksonville beach at 0%.

Health Statistics

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

Health Metric Winder Jacksonville beach
Mental Health Not Good 17.9% 13.8%
Physical Health Not Good 12.9% 7.9%
Depression 22.6% 18.7%
Smoking 19.8% 12.9%
Binge Drinking 15.5% 19.3%
Obesity 40.9% 28.0%
Disability Percentage 14.0% 8.0%

Health Statistics Comparison: Winder vs Jacksonville beach

  • More residents in Winder report poor mental health at 17.9% compared to 13.8% in Jacksonville beach.
  • Depression is more prevalent in Winder at 22.6% compared to 18.7% in Jacksonville beach.
  • Smoking is more prevalent in Winder at 19.8% compared to 12.9% in Jacksonville beach.
  • More residents engage in binge drinking in Jacksonville beach at 19.3% compared to 15.5% in Winder.
  • Obesity rates are higher in Winder at 40.9% compared to 28.0% in Jacksonville beach.
  • Disability percentages are higher in Winder at 14.0% compared to 8.0% in Jacksonville beach.

Education Levels

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

Education Level Winder Jacksonville beach
No Schooling 1.2% (240) 0.5% (115)
High School Diploma 15.8% (3,070) 9.8% (2,305)
Less than High School 14.0% (2,718) 5.1% (1,194)
Bachelor's Degree and Higher 13.0% (2,516) 44.8% (10,535)

Education Levels Comparison: Winder vs Jacksonville beach

  • A higher percentage of residents in Winder have no formal schooling at 1.2% compared to 0.5% in Jacksonville beach.
  • A higher percentage of residents in Winder hold a high school diploma at 15.8% compared to 9.8% in Jacksonville beach.
  • More residents in Winder have less than a high school education at 14.0% compared to 5.1% in Jacksonville beach.
  • In Jacksonville beach, a larger share of residents have a bachelor's degree or higher at 44.8% compared to 13.0% in Winder.

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.