Demographics details for Melbourne, FL vs Senoia, GA
Population Overview
Compare main population characteristics in Melbourne, FL vs Senoia, GA.
Data | Melbourne | Senoia |
---|---|---|
Population | 86,441 | 5,663 |
Median Age | 42.4 years | 35.8 years |
Median Income | $60,917 | $114,423 |
Married Families | 35.0% | 48.0% |
Poverty Level | 12% | 3% |
Unemployment Rate | 3.6 | 3.0 |
Population Comparison: Melbourne vs Senoia
- In Melbourne, the population is higher at 86,441, compared to 5,663 in Senoia.
- Residents in Melbourne have a higher median age of 42.4 years compared to 35.8 years in Senoia.
- Senoia has a higher median income of $114,423, compared to $60,917 in Melbourne.
- In Senoia, the percentage of married families is higher at 48.0%, compared to 35.0% in Melbourne.
- Melbourne has a higher poverty level at 12% compared to 3% in Senoia.
- The unemployment rate in Melbourne is higher at 3.6%, compared to 3.0% in Senoia.
Demographics
Demographics Melbourne vs Senoia provide insight into the diversity of the communities to compare.
Demographic | Melbourne | Senoia |
---|---|---|
Black | 10 | 16 |
White | 68 | 74 |
Asian | 3 | 1 |
Hispanic | 12 | 3 |
Two or More Races | 7 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Melbourne vs Senoia
- In Senoia, the percentage of Black residents is higher at 16% compared to 10% in Melbourne.
- The percentage of White residents is higher in Senoia at 74% compared to 68% in Melbourne.
- The Asian population is larger in Melbourne at 3% compared to 1% in Senoia.
- The Hispanic community is larger in Melbourne at 12% compared to 3% in Senoia.
- More residents identify as two or more races in Melbourne at 7% compared to 6% in Senoia.
- The percentage of American Indian residents is the same in both Melbourne and Senoia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Melbourne | Senoia |
---|---|---|
Mental Health Not Good | 16.5% | 15.0% |
Physical Health Not Good | 11.4% | 10.0% |
Depression | 20.4% | 20.5% |
Smoking | 19.1% | 13.2% |
Binge Drinking | 16.1% | 17.5% |
Obesity | 33.7% | 32.0% |
Disability Percentage | 15.0% | 8.0% |
Health Statistics Comparison: Melbourne vs Senoia
- More residents in Melbourne report poor mental health at 16.5% compared to 15.0% in Senoia.
- Higher depression rates are seen in Senoia at 20.5% versus 20.4% in Melbourne.
- Smoking is more prevalent in Melbourne at 19.1% compared to 13.2% in Senoia.
- More residents engage in binge drinking in Senoia at 17.5% compared to 16.1% in Melbourne.
- Obesity rates are higher in Melbourne at 33.7% compared to 32.0% in Senoia.
- Disability percentages are higher in Melbourne at 15.0% compared to 8.0% in Senoia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Melbourne | Senoia |
---|---|---|
No Schooling | 0.5% (399) | 0.4% (24) |
High School Diploma | 15.5% (13,387) | 10.0% (564) |
Less than High School | 9.0% (7,743) | 4.6% (258) |
Bachelor's Degree and Higher | 22.9% (19,761) | 31.6% (1,788) |
Education Levels Comparison: Melbourne vs Senoia
- A higher percentage of residents in Melbourne have no formal schooling at 0.5% compared to 0.4% in Senoia.
- A higher percentage of residents in Melbourne hold a high school diploma at 15.5% compared to 10.0% in Senoia.
- More residents in Melbourne have less than a high school education at 9.0% compared to 4.6% in Senoia.
- In Senoia, a larger share of residents have a bachelor's degree or higher at 31.6% compared to 22.9% in Melbourne.
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.