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.