Demographics details for Detroit lakes, MN vs Dacula, GA
Population Overview
Compare main population characteristics in Detroit lakes, MN vs Dacula, GA.
| Data | Detroit lakes | Dacula |
|---|---|---|
| Population | 10,011 | 7,460 |
| Median Age | 40.2 years | 35.0 years |
| Median Income | $60,317 | $81,322 |
| Married Families | 36.0% | 39.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Detroit lakes vs Dacula
- In Detroit lakes, the population is higher at 10,011, compared to 7,460 in Dacula.
- Residents in Detroit lakes have a higher median age of 40.2 years compared to 35.0 years in Dacula.
- Dacula has a higher median income of $81,322, compared to $60,317 in Detroit lakes.
- In Dacula, the percentage of married families is higher at 39.0%, compared to 36.0% in Detroit lakes.
- Detroit lakes has a higher poverty level at 10% compared to 5% in Dacula.
- The unemployment rate is the same in both Detroit lakes and Dacula at 3.2%.
Demographics
Demographics Detroit lakes vs Dacula provide insight into the diversity of the communities to compare.
| Demographic | Detroit lakes | Dacula |
|---|---|---|
| Black | 1 | 23 |
| White | 92 | 41 |
| Asian | 1 | 7 |
| Hispanic | Data is updating | 19 |
| Two or More Races | 4 | 9 |
| American Indian | 2 | 1 |
Demographics Comparison: Detroit lakes vs Dacula
- In Dacula, the percentage of Black residents is higher at 23% compared to 1% in Detroit lakes.
- Detroit lakes has a higher percentage of White residents at 92% compared to 41% in Dacula.
- In Dacula, the Asian population stands at 7%, greater than 1% in Detroit lakes.
- Dacula has a higher percentage of Hispanic residents at 19%, compared to 0% in Detroit lakes.
- The percentage of residents identifying as two or more races is higher in Dacula at 9%, compared to 4% in Detroit lakes.
- A greater percentage of American Indian residents live in Detroit lakes at 2% compared to 1% in Dacula.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Detroit lakes | Dacula |
|---|---|---|
| Mental Health Not Good | 15.8% | 14.4% |
| Physical Health Not Good | 10.1% | 9.5% |
| Depression | 24.7% | 19.1% |
| Smoking | 19.5% | 12.9% |
| Binge Drinking | 20.5% | 16.5% |
| Obesity | 43.0% | 29.7% |
| Disability Percentage | 16.0% | 16.0% |
Health Statistics Comparison: Detroit lakes vs Dacula
- More residents in Detroit lakes report poor mental health at 15.8% compared to 14.4% in Dacula.
- Depression is more prevalent in Detroit lakes at 24.7% compared to 19.1% in Dacula.
- Smoking is more prevalent in Detroit lakes at 19.5% compared to 12.9% in Dacula.
- Binge drinking is more common in Detroit lakes at 20.5% compared to 16.5% in Dacula.
- Obesity rates are higher in Detroit lakes at 43.0% compared to 29.7% in Dacula.
- Disability percentages are the same in both Detroit lakes and Dacula at 16.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Detroit lakes | Dacula |
|---|---|---|
| No Schooling | 0.4% (41) | 4.8% (355) |
| High School Diploma | 14.2% (1,417) | 8.0% (599) |
| Less than High School | 7.8% (781) | 17.0% (1,267) |
| Bachelor's Degree and Higher | 21.7% (2,176) | 13.2% (988) |
Education Levels Comparison: Detroit lakes vs Dacula
- In Dacula, a larger percentage of residents lack formal schooling at 4.8% compared to 0.4% in Detroit lakes.
- A higher percentage of residents in Detroit lakes hold a high school diploma at 14.2% 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 7.8% in Detroit lakes.
- A higher percentage of residents in Detroit lakes hold a bachelor's degree or higher at 21.7% 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.