Demographics details for Western, NE vs Dacula, GA
Population Overview
Compare main population characteristics in Western, NE vs Dacula, GA.
| Data | Western | Dacula |
|---|---|---|
| Population | 224 | 7,460 |
| Median Age | 41.5 years | 35.0 years |
| Median Income | $42,188 | $81,322 |
| Married Families | 36.0% | 39.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 2.5 | 3.2 |
Population Comparison: Western vs Dacula
- The population in Dacula is higher at 7,460, compared to 224 in Western.
- Residents in Western have a higher median age of 41.5 years compared to 35.0 years in Dacula.
- Dacula has a higher median income of $81,322, compared to $42,188 in Western.
- In Dacula, the percentage of married families is higher at 39.0%, compared to 36.0% in Western.
- Western has a higher poverty level at 9% compared to 5% in Dacula.
- Dacula has a higher unemployment rate at 3.2% compared to 2.5% in Western.
Demographics
Demographics Western vs Dacula provide insight into the diversity of the communities to compare.
| Demographic | Western | Dacula |
|---|---|---|
| Black | Data is updating | 23 |
| White | 98 | 41 |
| Asian | Data is updating | 7 |
| Hispanic | 2 | 19 |
| Two or More Races | Data is updating | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Western vs Dacula
- In Dacula, the percentage of Black residents is higher at 23% compared to 0% in Western.
- Western has a higher percentage of White residents at 98% compared to 41% in Dacula.
- In Dacula, the Asian population stands at 7%, greater than 0% in Western.
- Dacula has a higher percentage of Hispanic residents at 19%, compared to 2% in Western.
- The percentage of residents identifying as two or more races is higher in Dacula at 9%, compared to 0% in Western.
- In Dacula, the percentage of American Indian residents is higher at 1%, compared to 0% in Western.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Western | Dacula |
|---|---|---|
| Mental Health Not Good | 13.8% | 14.4% |
| Physical Health Not Good | 9.8% | 9.5% |
| Depression | 18.8% | 19.1% |
| Smoking | 17.6% | 12.9% |
| Binge Drinking | 20.8% | 16.5% |
| Obesity | 42.0% | 29.7% |
| Disability Percentage | 24.0% | 16.0% |
Health Statistics Comparison: Western vs Dacula
- In Dacula, a higher percentage report poor mental health at 14.4% compared to 13.8% in Western.
- Higher depression rates are seen in Dacula at 19.1% versus 18.8% in Western.
- Smoking is more prevalent in Western at 17.6% compared to 12.9% in Dacula.
- Binge drinking is more common in Western at 20.8% compared to 16.5% in Dacula.
- Obesity rates are higher in Western at 42.0% compared to 29.7% in Dacula.
- Disability percentages are higher in Western at 24.0% 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 | Western | Dacula |
|---|---|---|
| No Schooling | 0.9% (2) | 4.8% (355) |
| High School Diploma | 25.4% (57) | 8.0% (599) |
| Less than High School | 17.0% (38) | 17.0% (1,267) |
| Bachelor's Degree and Higher | 8.0% (18) | 13.2% (988) |
Education Levels Comparison: Western vs Dacula
- In Dacula, a larger percentage of residents lack formal schooling at 4.8% compared to 0.9% in Western.
- A higher percentage of residents in Western hold a high school diploma at 25.4% compared to 8.0% in Dacula.
- Both cities report the same percentage of residents with less than a high school education at 17.0%.
- In Dacula, a larger share of residents have a bachelor's degree or higher at 13.2% compared to 8.0% in Western.
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.