Demographics details for Dacula, GA vs Oakhurst, NJ
Population Overview
Compare main population characteristics in Dacula, GA vs Oakhurst, NJ.
| Data | Dacula | Oakhurst |
|---|---|---|
| Population | 7,460 | 3,912 |
| Median Age | 35.0 years | 37.0 years |
| Median Income | $81,322 | $130,313 |
| Married Families | 39.0% | 46.0% |
| Poverty Level | 5% | 3% |
| Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Dacula vs Oakhurst
- In Dacula, the population is higher at 7,460, compared to 3,912 in Oakhurst.
- The median age in Oakhurst is higher at 37.0 years, compared to 35.0 years in Dacula.
- Oakhurst has a higher median income of $130,313, compared to $81,322 in Dacula.
- In Oakhurst, the percentage of married families is higher at 46.0%, compared to 39.0% in Dacula.
- Dacula has a higher poverty level at 5% compared to 3% in Oakhurst.
- Oakhurst has a higher unemployment rate at 4.1% compared to 3.2% in Dacula.
Demographics
Demographics Dacula vs Oakhurst provide insight into the diversity of the communities to compare.
| Demographic | Dacula | Oakhurst |
|---|---|---|
| Black | 23 | 5 |
| White | 41 | 78 |
| Asian | 7 | 1 |
| Hispanic | 19 | 4 |
| Two or More Races | 9 | 12 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Dacula vs Oakhurst
- A higher percentage of Black residents are in Dacula at 23% compared to 5% in Oakhurst.
- The percentage of White residents is higher in Oakhurst at 78% compared to 41% in Dacula.
- The Asian population is larger in Dacula at 7% compared to 1% in Oakhurst.
- The Hispanic community is larger in Dacula at 19% compared to 4% in Oakhurst.
- The percentage of residents identifying as two or more races is higher in Oakhurst at 12%, compared to 9% in Dacula.
- A greater percentage of American Indian residents live in Dacula at 1% compared to 0% in Oakhurst.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dacula | Oakhurst |
|---|---|---|
| Mental Health Not Good | 14.4% | 14.8% |
| Physical Health Not Good | 9.5% | 8.6% |
| Depression | 19.1% | 20.9% |
| Smoking | 12.9% | 12.4% |
| Binge Drinking | 16.5% | 19.8% |
| Obesity | 29.7% | 26.2% |
| Disability Percentage | 16.0% | 6.0% |
Health Statistics Comparison: Dacula vs Oakhurst
- In Oakhurst, a higher percentage report poor mental health at 14.8% compared to 14.4% in Dacula.
- Higher depression rates are seen in Oakhurst at 20.9% versus 19.1% in Dacula.
- Smoking is more prevalent in Dacula at 12.9% compared to 12.4% in Oakhurst.
- More residents engage in binge drinking in Oakhurst at 19.8% compared to 16.5% in Dacula.
- Obesity rates are higher in Dacula at 29.7% compared to 26.2% in Oakhurst.
- Disability percentages are higher in Dacula at 16.0% compared to 6.0% in Oakhurst.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dacula | Oakhurst |
|---|---|---|
| No Schooling | 4.8% (355) | 0.0% (1) |
| High School Diploma | 8.0% (599) | 13.8% (538) |
| Less than High School | 17.0% (1,267) | 3.6% (142) |
| Bachelor's Degree and Higher | 13.2% (988) | 28.5% (1,115) |
Education Levels Comparison: Dacula vs Oakhurst
- A higher percentage of residents in Dacula have no formal schooling at 4.8% compared to 0.0% in Oakhurst.
- In Oakhurst, the rate of residents with high school diplomas is higher at 13.8% compared to 8.0% in Dacula.
- More residents in Dacula have less than a high school education at 17.0% compared to 3.6% in Oakhurst.
- In Oakhurst, a larger share of residents have a bachelor's degree or higher at 28.5% 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.