Demographics details for Picayune, MS vs Melbourne beach, FL
Population Overview
Compare main population characteristics in Picayune, MS vs Melbourne beach, FL.
Data | Picayune | Melbourne beach |
---|---|---|
Population | 11,826 | 3,242 |
Median Age | 38.3 years | 53.5 years |
Median Income | $35,649 | $80,795 |
Married Families | 27.0% | 50.0% |
Poverty Level | 21% | 8% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Picayune vs Melbourne beach
- In Picayune, the population is higher at 11,826, compared to 3,242 in Melbourne beach.
- The median age in Melbourne beach is higher at 53.5 years, compared to 38.3 years in Picayune.
- Melbourne beach has a higher median income of $80,795, compared to $35,649 in Picayune.
- In Melbourne beach, the percentage of married families is higher at 50.0%, compared to 27.0% in Picayune.
- Picayune has a higher poverty level at 21% compared to 8% in Melbourne beach.
- The unemployment rate is the same in both Picayune and Melbourne beach at 4.5%.
Demographics
Demographics Picayune vs Melbourne beach provide insight into the diversity of the communities to compare.
Demographic | Picayune | Melbourne beach |
---|---|---|
Black | 38 | Data is updating |
White | 55 | 86 |
Asian | Data is updating | 1 |
Hispanic | 2 | 9 |
Two or More Races | 5 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Picayune vs Melbourne beach
- A higher percentage of Black residents are in Picayune at 38% compared to 0% in Melbourne beach.
- The percentage of White residents is higher in Melbourne beach at 86% compared to 55% in Picayune.
- In Melbourne beach, the Asian population stands at 1%, greater than 0% in Picayune.
- Melbourne beach has a higher percentage of Hispanic residents at 9%, compared to 2% in Picayune.
- More residents identify as two or more races in Picayune at 5% compared to 4% in Melbourne beach.
- The percentage of American Indian residents is the same in both Picayune and Melbourne beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Picayune | Melbourne beach |
---|---|---|
Mental Health Not Good | 18.4% | 14.2% |
Physical Health Not Good | 14.3% | 8.2% |
Depression | 24.0% | 19.2% |
Smoking | 23.3% | 13.6% |
Binge Drinking | 13.3% | 18.2% |
Obesity | 44.0% | 28.6% |
Disability Percentage | 21.0% | 14.0% |
Health Statistics Comparison: Picayune vs Melbourne beach
- More residents in Picayune report poor mental health at 18.4% compared to 14.2% in Melbourne beach.
- Depression is more prevalent in Picayune at 24.0% compared to 19.2% in Melbourne beach.
- Smoking is more prevalent in Picayune at 23.3% compared to 13.6% in Melbourne beach.
- More residents engage in binge drinking in Melbourne beach at 18.2% compared to 13.3% in Picayune.
- Obesity rates are higher in Picayune at 44.0% compared to 28.6% in Melbourne beach.
- Disability percentages are higher in Picayune at 21.0% 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 | Picayune | Melbourne beach |
---|---|---|
No Schooling | 0.6% (73) | 0.7% (22) |
High School Diploma | 17.8% (2,108) | 8.5% (275) |
Less than High School | 11.8% (1,392) | 3.3% (108) |
Bachelor's Degree and Higher | 10.1% (1,200) | 49.8% (1,616) |
Education Levels Comparison: Picayune vs Melbourne beach
- In Melbourne beach, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Picayune.
- A higher percentage of residents in Picayune hold a high school diploma at 17.8% compared to 8.5% in Melbourne beach.
- More residents in Picayune have less than a high school education at 11.8% compared to 3.3% in Melbourne beach.
- In Melbourne beach, a larger share of residents have a bachelor's degree or higher at 49.8% compared to 10.1% in Picayune.
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.