Demographics details for Beaver dam, WI vs Dacula, GA
Population Overview
Compare main population characteristics in Beaver dam, WI vs Dacula, GA.
| Data | Beaver dam | Dacula |
|---|---|---|
| Population | 16,582 | 7,460 |
| Median Age | 40.4 years | 35.0 years |
| Median Income | $65,802 | $81,322 |
| Married Families | 35.0% | 39.0% |
| Poverty Level | Data is updating | 5% |
| Unemployment Rate | 3.1 | 3.2 |
Population Comparison: Beaver dam vs Dacula
- In Beaver dam, the population is higher at 16,582, compared to 7,460 in Dacula.
- Residents in Beaver dam have a higher median age of 40.4 years compared to 35.0 years in Dacula.
- Dacula has a higher median income of $81,322, compared to $65,802 in Beaver dam.
- In Dacula, the percentage of married families is higher at 39.0%, compared to 35.0% in Beaver dam.
- The poverty level is higher in Dacula at 5%, compared to 0% in Beaver dam.
- Dacula has a higher unemployment rate at 3.2% compared to 3.1% in Beaver dam.
Demographics
Demographics Beaver dam vs Dacula provide insight into the diversity of the communities to compare.
| Demographic | Beaver dam | Dacula |
|---|---|---|
| Black | 3 | 23 |
| White | 81 | 41 |
| Asian | 2 | 7 |
| Hispanic | 8 | 19 |
| Two or More Races | 6 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Beaver dam vs Dacula
- In Dacula, the percentage of Black residents is higher at 23% compared to 3% in Beaver dam.
- Beaver dam has a higher percentage of White residents at 81% compared to 41% in Dacula.
- In Dacula, the Asian population stands at 7%, greater than 2% in Beaver dam.
- Dacula has a higher percentage of Hispanic residents at 19%, compared to 8% in Beaver dam.
- The percentage of residents identifying as two or more races is higher in Dacula at 9%, compared to 6% in Beaver dam.
- In Dacula, the percentage of American Indian residents is higher at 1%, compared to 0% in Beaver dam.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Beaver dam | Dacula |
|---|---|---|
| Mental Health Not Good | 15.7% | 14.4% |
| Physical Health Not Good | 10.6% | 9.5% |
| Depression | 23.6% | 19.1% |
| Smoking | 17.6% | 12.9% |
| Binge Drinking | 23.5% | 16.5% |
| Obesity | 36.6% | 29.7% |
| Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Beaver dam vs Dacula
- More residents in Beaver dam report poor mental health at 15.7% compared to 14.4% in Dacula.
- Depression is more prevalent in Beaver dam at 23.6% compared to 19.1% in Dacula.
- Smoking is more prevalent in Beaver dam at 17.6% compared to 12.9% in Dacula.
- Binge drinking is more common in Beaver dam at 23.5% compared to 16.5% in Dacula.
- Obesity rates are higher in Beaver dam at 36.6% compared to 29.7% in Dacula.
- There is a higher percentage of disabled individuals in Dacula at 16.0% compared to 11.0% in Beaver dam.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Beaver dam | Dacula |
|---|---|---|
| No Schooling | 0.3% (47) | 4.8% (355) |
| High School Diploma | 23.8% (3,947) | 8.0% (599) |
| Less than High School | 10.3% (1,706) | 17.0% (1,267) |
| Bachelor's Degree and Higher | 18.2% (3,023) | 13.2% (988) |
Education Levels Comparison: Beaver dam vs Dacula
- In Dacula, a larger percentage of residents lack formal schooling at 4.8% compared to 0.3% in Beaver dam.
- A higher percentage of residents in Beaver dam hold a high school diploma at 23.8% 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 10.3% in Beaver dam.
- A higher percentage of residents in Beaver dam hold a bachelor's degree or higher at 18.2% 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.