Demographics details for Dahlonega, GA vs Cleveland, MS
Population Overview
Compare main population characteristics in Dahlonega, GA vs Cleveland, MS.
Data | Dahlonega | Cleveland |
---|---|---|
Population | 7,461 | 10,545 |
Median Age | 21.8 years | 33.8 years |
Median Income | $57,941 | $42,005 |
Married Families | 28.0% | 27.0% |
Poverty Level | 12% | 24% |
Unemployment Rate | 3.2 | 5.6 |
Population Comparison: Dahlonega vs Cleveland
- The population in Cleveland is higher at 10,545, compared to 7,461 in Dahlonega.
- The median age in Cleveland is higher at 33.8 years, compared to 21.8 years in Dahlonega.
- Dahlonega has a higher median income of $57,941 compared to $42,005 in Cleveland.
- A higher percentage of married families is found in Dahlonega at 28.0% compared to 27.0% in Cleveland.
- The poverty level is higher in Cleveland at 24%, compared to 12% in Dahlonega.
- Cleveland has a higher unemployment rate at 5.6% compared to 3.2% in Dahlonega.
Demographics
Demographics Dahlonega vs Cleveland provide insight into the diversity of the communities to compare.
Demographic | Dahlonega | Cleveland |
---|---|---|
Black | 5 | 56 |
White | 84 | 36 |
Asian | Data is updating | 2 |
Hispanic | 6 | 1 |
Two or More Races | 4 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Dahlonega vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 56% compared to 5% in Dahlonega.
- Dahlonega has a higher percentage of White residents at 84% compared to 36% in Cleveland.
- In Cleveland, the Asian population stands at 2%, greater than 0% in Dahlonega.
- The Hispanic community is larger in Dahlonega at 6% compared to 1% in Cleveland.
- The percentage of residents identifying as two or more races is higher in Cleveland at 5%, compared to 4% in Dahlonega.
- A greater percentage of American Indian residents live in Dahlonega at 1% compared to 0% in Cleveland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dahlonega | Cleveland |
---|---|---|
Mental Health Not Good | 17.8% | 17.6% |
Physical Health Not Good | 13.0% | 13.8% |
Depression | 23.9% | 20.4% |
Smoking | 19.4% | 21.0% |
Binge Drinking | 16.7% | 12.7% |
Obesity | 34.9% | 41.4% |
Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Dahlonega vs Cleveland
- More residents in Dahlonega report poor mental health at 17.8% compared to 17.6% in Cleveland.
- Depression is more prevalent in Dahlonega at 23.9% compared to 20.4% in Cleveland.
- Cleveland has a higher smoking rate at 21.0% compared to 19.4% in Dahlonega.
- Binge drinking is more common in Dahlonega at 16.7% compared to 12.7% in Cleveland.
- Cleveland has higher obesity rates at 41.4% compared to 34.9% in Dahlonega.
- There is a higher percentage of disabled individuals in Cleveland at 20.0% 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 | Dahlonega | Cleveland |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.9% (99) |
High School Diploma | 7.5% (556) | 10.0% (1,059) |
Less than High School | 3.2% (236) | 13.3% (1,404) |
Bachelor's Degree and Higher | 20.8% (1,554) | 21.3% (2,242) |
Education Levels Comparison: Dahlonega vs Cleveland
- In Cleveland, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Dahlonega.
- In Cleveland, the rate of residents with high school diplomas is higher at 10.0% compared to 7.5% in Dahlonega.
- The percentage of residents with less than a high school education is higher in Cleveland at 13.3%, compared to 3.2% in Dahlonega.
- In Cleveland, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 20.8% in Dahlonega.
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.