Demographics details for Millersburg, OH vs Dahlonega, GA
Population Overview
Compare main population characteristics in Millersburg, OH vs Dahlonega, GA.
Data | Millersburg | Dahlonega |
---|---|---|
Population | 3,180 | 7,461 |
Median Age | 38.2 years | 21.8 years |
Median Income | $48,913 | $57,941 |
Married Families | 40.0% | 28.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Millersburg vs Dahlonega
- The population in Dahlonega is higher at 7,461, compared to 3,180 in Millersburg.
- Residents in Millersburg have a higher median age of 38.2 years compared to 21.8 years in Dahlonega.
- Dahlonega has a higher median income of $57,941, compared to $48,913 in Millersburg.
- A higher percentage of married families is found in Millersburg at 40.0% compared to 28.0% in Dahlonega.
- The poverty level is higher in Dahlonega at 12%, compared to 10% in Millersburg.
- The unemployment rate in Millersburg is higher at 4.5%, compared to 3.2% in Dahlonega.
Demographics
Demographics Millersburg vs Dahlonega provide insight into the diversity of the communities to compare.
Demographic | Millersburg | Dahlonega |
---|---|---|
Black | 1 | 5 |
White | 95 | 84 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 6 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | 1 |
Demographics Comparison: Millersburg vs Dahlonega
- In Dahlonega, the percentage of Black residents is higher at 5% compared to 1% in Millersburg.
- Millersburg has a higher percentage of White residents at 95% compared to 84% in Dahlonega.
- Both Millersburg and Dahlonega have the same percentage of Asian residents at 0%.
- Dahlonega has a higher percentage of Hispanic residents at 6%, compared to 0% in Millersburg.
- Both Millersburg and Dahlonega have the same percentage of residents identifying as two or more races at 4%.
- In Dahlonega, the percentage of American Indian residents is higher at 1%, compared to 0% in Millersburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Millersburg | Dahlonega |
---|---|---|
Mental Health Not Good | 18.5% | 17.8% |
Physical Health Not Good | 12.5% | 13.0% |
Depression | 24.9% | 23.9% |
Smoking | 22.4% | 19.4% |
Binge Drinking | 18.0% | 16.7% |
Obesity | 39.2% | 34.9% |
Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Millersburg vs Dahlonega
- More residents in Millersburg report poor mental health at 18.5% compared to 17.8% in Dahlonega.
- Depression is more prevalent in Millersburg at 24.9% compared to 23.9% in Dahlonega.
- Smoking is more prevalent in Millersburg at 22.4% compared to 19.4% in Dahlonega.
- Binge drinking is more common in Millersburg at 18.0% compared to 16.7% in Dahlonega.
- Obesity rates are higher in Millersburg at 39.2% compared to 34.9% in Dahlonega.
- Disability percentages are higher in Millersburg at 13.0% compared to 12.0% in Dahlonega.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Millersburg | Dahlonega |
---|---|---|
No Schooling | 1.4% (46) | 0.0% (Data is updating) |
High School Diploma | 25.2% (801) | 7.5% (556) |
Less than High School | 27.2% (864) | 3.2% (236) |
Bachelor's Degree and Higher | 20.3% (644) | 20.8% (1,554) |
Education Levels Comparison: Millersburg vs Dahlonega
- A higher percentage of residents in Millersburg have no formal schooling at 1.4% compared to 0.0% in Dahlonega.
- A higher percentage of residents in Millersburg hold a high school diploma at 25.2% compared to 7.5% in Dahlonega.
- More residents in Millersburg have less than a high school education at 27.2% compared to 3.2% in Dahlonega.
- In Dahlonega, a larger share of residents have a bachelor's degree or higher at 20.8% compared to 20.3% in Millersburg.
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.