Demographics details for Sun city center, FL vs Dacula, GA
Population Overview
Compare main population characteristics in Sun city center, FL vs Dacula, GA.
Data | Sun city center | Dacula |
---|---|---|
Population | 29,290 | 7,460 |
Median Age | 70.6 years | 35.0 years |
Median Income | $64,661 | $81,322 |
Married Families | 57.0% | 39.0% |
Poverty Level | 6% | 5% |
Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Sun city center vs Dacula
- In Sun city center, the population is higher at 29,290, compared to 7,460 in Dacula.
- Residents in Sun city center have a higher median age of 70.6 years compared to 35.0 years in Dacula.
- Dacula has a higher median income of $81,322, compared to $64,661 in Sun city center.
- A higher percentage of married families is found in Sun city center at 57.0% compared to 39.0% in Dacula.
- Sun city center has a higher poverty level at 6% compared to 5% in Dacula.
- The unemployment rate is the same in both Sun city center and Dacula at 3.2%.
Demographics
Demographics Sun city center vs Dacula provide insight into the diversity of the communities to compare.
Demographic | Sun city center | Dacula |
---|---|---|
Black | 8 | 23 |
White | 73 | 41 |
Asian | 2 | 7 |
Hispanic | 10 | 19 |
Two or More Races | 7 | 9 |
American Indian | Data is updating | 1 |
Demographics Comparison: Sun city center vs Dacula
- In Dacula, the percentage of Black residents is higher at 23% compared to 8% in Sun city center.
- Sun city center has a higher percentage of White residents at 73% compared to 41% in Dacula.
- In Dacula, the Asian population stands at 7%, greater than 2% in Sun city center.
- Dacula has a higher percentage of Hispanic residents at 19%, compared to 10% in Sun city center.
- The percentage of residents identifying as two or more races is higher in Dacula at 9%, compared to 7% in Sun city center.
- In Dacula, the percentage of American Indian residents is higher at 1%, compared to 0% in Sun city center.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sun city center | Dacula |
---|---|---|
Mental Health Not Good | 15.3% | 14.4% |
Physical Health Not Good | 9.7% | 9.5% |
Depression | 18.4% | 19.1% |
Smoking | 16.0% | 12.9% |
Binge Drinking | 17.5% | 16.5% |
Obesity | 27.7% | 29.7% |
Disability Percentage | 22.0% | 16.0% |
Health Statistics Comparison: Sun city center vs Dacula
- More residents in Sun city center report poor mental health at 15.3% compared to 14.4% in Dacula.
- Higher depression rates are seen in Dacula at 19.1% versus 18.4% in Sun city center.
- Smoking is more prevalent in Sun city center at 16.0% compared to 12.9% in Dacula.
- Binge drinking is more common in Sun city center at 17.5% compared to 16.5% in Dacula.
- Dacula has higher obesity rates at 29.7% compared to 27.7% in Sun city center.
- Disability percentages are higher in Sun city center at 22.0% compared to 16.0% in Dacula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sun city center | Dacula |
---|---|---|
No Schooling | 0.2% (72) | 4.8% (355) |
High School Diploma | 21.4% (6,282) | 8.0% (599) |
Less than High School | 9.6% (2,799) | 17.0% (1,267) |
Bachelor's Degree and Higher | 34.6% (10,122) | 13.2% (988) |
Education Levels Comparison: Sun city center vs Dacula
- In Dacula, a larger percentage of residents lack formal schooling at 4.8% compared to 0.2% in Sun city center.
- A higher percentage of residents in Sun city center hold a high school diploma at 21.4% compared to 8.0% in Dacula.
- The percentage of residents with less than a high school education is higher in Dacula at 17.0%, compared to 9.6% in Sun city center.
- A higher percentage of residents in Sun city center hold a bachelor's degree or higher at 34.6% compared to 13.2% in Dacula.
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.