Demographics details for Dacula, GA vs Warren, VT
Population Overview
Compare main population characteristics in Dacula, GA vs Warren, VT.
| Data | Dacula | Warren |
|---|---|---|
| Population | 7,460 | 1,705 |
| Median Age | 35.0 years | 41.5 years |
| Median Income | $81,322 | $61,000 |
| Married Families | 39.0% | 35.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 3.2 | 1.8 |
Population Comparison: Dacula vs Warren
- In Dacula, the population is higher at 7,460, compared to 1,705 in Warren.
- The median age in Warren is higher at 41.5 years, compared to 35.0 years in Dacula.
- Dacula has a higher median income of $81,322 compared to $61,000 in Warren.
- A higher percentage of married families is found in Dacula at 39.0% compared to 35.0% in Warren.
- The poverty level is identical in both Dacula and Warren at 5%.
- The unemployment rate in Dacula is higher at 3.2%, compared to 1.8% in Warren.
Demographics
Demographics Dacula vs Warren provide insight into the diversity of the communities to compare.
| Demographic | Dacula | Warren |
|---|---|---|
| Black | 23 | Data is updating |
| White | 41 | 100 |
| Asian | 7 | Data is updating |
| Hispanic | 19 | Data is updating |
| Two or More Races | 9 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Dacula vs Warren
- A higher percentage of Black residents are in Dacula at 23% compared to 0% in Warren.
- The percentage of White residents is higher in Warren at 100% compared to 41% in Dacula.
- The Asian population is larger in Dacula at 7% compared to 0% in Warren.
- The Hispanic community is larger in Dacula at 19% compared to 0% in Warren.
- More residents identify as two or more races in Dacula at 9% compared to 0% in Warren.
- A greater percentage of American Indian residents live in Dacula at 1% compared to 0% in Warren.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dacula | Warren |
|---|---|---|
| Mental Health Not Good | 14.4% | Data is updating% |
| Physical Health Not Good | 9.5% | Data is updating% |
| Depression | 19.1% | Data is updating% |
| Smoking | 12.9% | Data is updating% |
| Binge Drinking | 16.5% | Data is updating% |
| Obesity | 29.7% | Data is updating% |
| Disability Percentage | 16.0% | Data is updating% |
Health Statistics Comparison: Dacula vs Warren
- More residents in Dacula report poor mental health at 14.4% compared to 0.0% in Warren.
- Depression is more prevalent in Dacula at 19.1% compared to 0.0% in Warren.
- Smoking is more prevalent in Dacula at 12.9% compared to 0.0% in Warren.
- Binge drinking is more common in Dacula at 16.5% compared to 0.0% in Warren.
- Obesity rates are higher in Dacula at 29.7% compared to 0.0% in Warren.
- Disability percentages are higher in Dacula at 16.0% compared to 0.0% in Warren.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dacula | Warren |
|---|---|---|
| No Schooling | 4.8% (355) | 0.0% (Data is updating) |
| High School Diploma | 8.0% (599) | 0.0% (Data is updating) |
| Less than High School | 17.0% (1,267) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 13.2% (988) | 0.0% (Data is updating) |
Education Levels Comparison: Dacula vs Warren
- A higher percentage of residents in Dacula have no formal schooling at 4.8% compared to 0.0% in Warren.
- A higher percentage of residents in Dacula hold a high school diploma at 8.0% compared to 0.0% in Warren.
- More residents in Dacula have less than a high school education at 17.0% compared to 0.0% in Warren.
- A higher percentage of residents in Dacula hold a bachelor's degree or higher at 13.2% compared to 0.0% in Warren.
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.