Demographics details for Melbourne beach, FL vs Laurel, MS
Population Overview
Compare main population characteristics in Melbourne beach, FL vs Laurel, MS.
| Data | Melbourne beach | Laurel |
|---|---|---|
| Population | 3,242 | 17,066 |
| Median Age | 53.5 years | 37.6 years |
| Median Income | $80,795 | $36,336 |
| Married Families | 50.0% | 29.0% |
| Poverty Level | 8% | 20% |
| Unemployment Rate | 4.5 | 5.4 |
Population Comparison: Melbourne beach vs Laurel
- The population in Laurel is higher at 17,066, compared to 3,242 in Melbourne beach.
- Residents in Melbourne beach have a higher median age of 53.5 years compared to 37.6 years in Laurel.
- Melbourne beach has a higher median income of $80,795 compared to $36,336 in Laurel.
- A higher percentage of married families is found in Melbourne beach at 50.0% compared to 29.0% in Laurel.
- The poverty level is higher in Laurel at 20%, compared to 8% in Melbourne beach.
- Laurel has a higher unemployment rate at 5.4% compared to 4.5% in Melbourne beach.
Demographics
Demographics Melbourne beach vs Laurel provide insight into the diversity of the communities to compare.
| Demographic | Melbourne beach | Laurel |
|---|---|---|
| Black | Data is updating | 66 |
| White | 86 | 28 |
| Asian | 1 | Data is updating |
| Hispanic | 9 | 4 |
| Two or More Races | 4 | 1 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Melbourne beach vs Laurel
- In Laurel, the percentage of Black residents is higher at 66% compared to 0% in Melbourne beach.
- Melbourne beach has a higher percentage of White residents at 86% compared to 28% in Laurel.
- The Asian population is larger in Melbourne beach at 1% compared to 0% in Laurel.
- The Hispanic community is larger in Melbourne beach at 9% compared to 4% in Laurel.
- More residents identify as two or more races in Melbourne beach at 4% compared to 1% in Laurel.
- In Laurel, the percentage of American Indian residents is higher at 1%, compared to 0% in Melbourne beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Melbourne beach | Laurel |
|---|---|---|
| Mental Health Not Good | 14.2% | 17.9% |
| Physical Health Not Good | 8.2% | 14.9% |
| Depression | 19.2% | 21.8% |
| Smoking | 13.6% | 23.1% |
| Binge Drinking | 18.2% | 11.6% |
| Obesity | 28.6% | 44.5% |
| Disability Percentage | 14.0% | 18.0% |
Health Statistics Comparison: Melbourne beach vs Laurel
- In Laurel, a higher percentage report poor mental health at 17.9% compared to 14.2% in Melbourne beach.
- Higher depression rates are seen in Laurel at 21.8% versus 19.2% in Melbourne beach.
- Laurel has a higher smoking rate at 23.1% compared to 13.6% in Melbourne beach.
- Binge drinking is more common in Melbourne beach at 18.2% compared to 11.6% in Laurel.
- Laurel has higher obesity rates at 44.5% compared to 28.6% in Melbourne beach.
- There is a higher percentage of disabled individuals in Laurel at 18.0% compared to 14.0% in Melbourne beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Melbourne beach | Laurel |
|---|---|---|
| No Schooling | 0.7% (22) | 0.7% (124) |
| High School Diploma | 8.5% (275) | 17.3% (2,956) |
| Less than High School | 3.3% (108) | 17.5% (2,979) |
| Bachelor's Degree and Higher | 49.8% (1,616) | 14.6% (2,485) |
Education Levels Comparison: Melbourne beach vs Laurel
- The percentage of residents with no formal schooling is the same in both Melbourne beach and Laurel at 0.7%.
- In Laurel, the rate of residents with high school diplomas is higher at 17.3% compared to 8.5% in Melbourne beach.
- The percentage of residents with less than a high school education is higher in Laurel at 17.5%, compared to 3.3% in Melbourne beach.
- A higher percentage of residents in Melbourne beach hold a bachelor's degree or higher at 49.8% compared to 14.6% in Laurel.
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.