Demographics details for Wilmington, OH vs Dacula, GA
Population Overview
Compare main population characteristics in Wilmington, OH vs Dacula, GA.
| Data | Wilmington | Dacula |
|---|---|---|
| Population | 12,656 | 7,460 |
| Median Age | 36.5 years | 35.0 years |
| Median Income | $48,407 | $81,322 |
| Married Families | 31.0% | 39.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 5.2 | 3.2 |
Population Comparison: Wilmington vs Dacula
- In Wilmington, the population is higher at 12,656, compared to 7,460 in Dacula.
- Residents in Wilmington have a higher median age of 36.5 years compared to 35.0 years in Dacula.
- Dacula has a higher median income of $81,322, compared to $48,407 in Wilmington.
- In Dacula, the percentage of married families is higher at 39.0%, compared to 31.0% in Wilmington.
- Wilmington has a higher poverty level at 12% compared to 5% in Dacula.
- The unemployment rate in Wilmington is higher at 5.2%, compared to 3.2% in Dacula.
Demographics
Demographics Wilmington vs Dacula provide insight into the diversity of the communities to compare.
| Demographic | Wilmington | Dacula |
|---|---|---|
| Black | 5 | 23 |
| White | 85 | 41 |
| Asian | 2 | 7 |
| Hispanic | 3 | 19 |
| Two or More Races | 5 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Wilmington vs Dacula
- In Dacula, the percentage of Black residents is higher at 23% compared to 5% in Wilmington.
- Wilmington has a higher percentage of White residents at 85% compared to 41% in Dacula.
- In Dacula, the Asian population stands at 7%, greater than 2% in Wilmington.
- Dacula has a higher percentage of Hispanic residents at 19%, compared to 3% in Wilmington.
- The percentage of residents identifying as two or more races is higher in Dacula at 9%, compared to 5% in Wilmington.
- In Dacula, the percentage of American Indian residents is higher at 1%, compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wilmington | Dacula |
|---|---|---|
| Mental Health Not Good | 19.1% | 14.4% |
| Physical Health Not Good | 13.1% | 9.5% |
| Depression | 25.1% | 19.1% |
| Smoking | 22.9% | 12.9% |
| Binge Drinking | 16.7% | 16.5% |
| Obesity | 43.0% | 29.7% |
| Disability Percentage | 19.0% | 16.0% |
Health Statistics Comparison: Wilmington vs Dacula
- More residents in Wilmington report poor mental health at 19.1% compared to 14.4% in Dacula.
- Depression is more prevalent in Wilmington at 25.1% compared to 19.1% in Dacula.
- Smoking is more prevalent in Wilmington at 22.9% compared to 12.9% in Dacula.
- Binge drinking is more common in Wilmington at 16.7% compared to 16.5% in Dacula.
- Obesity rates are higher in Wilmington at 43.0% compared to 29.7% in Dacula.
- Disability percentages are higher in Wilmington at 19.0% 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 | Wilmington | Dacula |
|---|---|---|
| No Schooling | 1.4% (171) | 4.8% (355) |
| High School Diploma | 21.3% (2,702) | 8.0% (599) |
| Less than High School | 11.0% (1,394) | 17.0% (1,267) |
| Bachelor's Degree and Higher | 13.9% (1,753) | 13.2% (988) |
Education Levels Comparison: Wilmington vs Dacula
- In Dacula, a larger percentage of residents lack formal schooling at 4.8% compared to 1.4% in Wilmington.
- A higher percentage of residents in Wilmington hold a high school diploma at 21.3% 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 11.0% in Wilmington.
- A higher percentage of residents in Wilmington hold a bachelor's degree or higher at 13.9% 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.