Demographics details for Oak harbor, WA vs Dacula, GA
Population Overview
Compare main population characteristics in Oak harbor, WA vs Dacula, GA.
| Data | Oak harbor | Dacula |
|---|---|---|
| Population | 24,403 | 7,460 |
| Median Age | 31.7 years | 35.0 years |
| Median Income | $68,039 | $81,322 |
| Married Families | 43.0% | 39.0% |
| Poverty Level | 7% | 5% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Oak harbor vs Dacula
- In Oak harbor, the population is higher at 24,403, compared to 7,460 in Dacula.
- The median age in Dacula is higher at 35.0 years, compared to 31.7 years in Oak harbor.
- Dacula has a higher median income of $81,322, compared to $68,039 in Oak harbor.
- A higher percentage of married families is found in Oak harbor at 43.0% compared to 39.0% in Dacula.
- Oak harbor has a higher poverty level at 7% compared to 5% in Dacula.
- The unemployment rate in Oak harbor is higher at 4.5%, compared to 3.2% in Dacula.
Demographics
Demographics Oak harbor vs Dacula provide insight into the diversity of the communities to compare.
| Demographic | Oak harbor | Dacula |
|---|---|---|
| Black | 5 | 23 |
| White | 56 | 41 |
| Asian | 8 | 7 |
| Hispanic | 16 | 19 |
| Two or More Races | 14 | 9 |
| American Indian | 1 | 1 |
Demographics Comparison: Oak harbor vs Dacula
- In Dacula, the percentage of Black residents is higher at 23% compared to 5% in Oak harbor.
- Oak harbor has a higher percentage of White residents at 56% compared to 41% in Dacula.
- The Asian population is larger in Oak harbor at 8% compared to 7% in Dacula.
- Dacula has a higher percentage of Hispanic residents at 19%, compared to 16% in Oak harbor.
- More residents identify as two or more races in Oak harbor at 14% compared to 9% in Dacula.
- The percentage of American Indian residents is the same in both Oak harbor and Dacula at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oak harbor | Dacula |
|---|---|---|
| Mental Health Not Good | 17.3% | 14.4% |
| Physical Health Not Good | 11.1% | 9.5% |
| Depression | 25.0% | 19.1% |
| Smoking | 15.1% | 12.9% |
| Binge Drinking | 16.2% | 16.5% |
| Obesity | 31.5% | 29.7% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Oak harbor vs Dacula
- More residents in Oak harbor report poor mental health at 17.3% compared to 14.4% in Dacula.
- Depression is more prevalent in Oak harbor at 25.0% compared to 19.1% in Dacula.
- Smoking is more prevalent in Oak harbor at 15.1% compared to 12.9% in Dacula.
- More residents engage in binge drinking in Dacula at 16.5% compared to 16.2% in Oak harbor.
- Obesity rates are higher in Oak harbor at 31.5% compared to 29.7% in Dacula.
- There is a higher percentage of disabled individuals in Dacula at 16.0% compared to 13.0% in Oak harbor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oak harbor | Dacula |
|---|---|---|
| No Schooling | 0.4% (106) | 4.8% (355) |
| High School Diploma | 12.8% (3,133) | 8.0% (599) |
| Less than High School | 5.7% (1,395) | 17.0% (1,267) |
| Bachelor's Degree and Higher | 17.6% (4,288) | 13.2% (988) |
Education Levels Comparison: Oak harbor vs Dacula
- In Dacula, a larger percentage of residents lack formal schooling at 4.8% compared to 0.4% in Oak harbor.
- A higher percentage of residents in Oak harbor hold a high school diploma at 12.8% 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 5.7% in Oak harbor.
- A higher percentage of residents in Oak harbor hold a bachelor's degree or higher at 17.6% 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.