Demographics details for Picayune, MS vs Lake butler, FL
Population Overview
Compare main population characteristics in Picayune, MS vs Lake butler, FL.
Data | Picayune | Lake butler |
---|---|---|
Population | 11,826 | 17,765 |
Median Age | 38.3 years | 43.8 years |
Median Income | $35,649 | $150,316 |
Married Families | 27.0% | 55.0% |
Poverty Level | 21% | 10% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Picayune vs Lake butler
- The population in Lake butler is higher at 17,765, compared to 11,826 in Picayune.
- The median age in Lake butler is higher at 43.8 years, compared to 38.3 years in Picayune.
- Lake butler has a higher median income of $150,316, compared to $35,649 in Picayune.
- In Lake butler, the percentage of married families is higher at 55.0%, compared to 27.0% in Picayune.
- Picayune has a higher poverty level at 21% compared to 10% in Lake butler.
- The unemployment rate is the same in both Picayune and Lake butler at 4.5%.
Demographics
Demographics Picayune vs Lake butler provide insight into the diversity of the communities to compare.
Demographic | Picayune | Lake butler |
---|---|---|
Black | 38 | 6 |
White | 55 | 53 |
Asian | Data is updating | 16 |
Hispanic | 2 | 12 |
Two or More Races | 5 | 13 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Picayune vs Lake butler
- A higher percentage of Black residents are in Picayune at 38% compared to 6% in Lake butler.
- Picayune has a higher percentage of White residents at 55% compared to 53% in Lake butler.
- In Lake butler, the Asian population stands at 16%, greater than 0% in Picayune.
- Lake butler has a higher percentage of Hispanic residents at 12%, compared to 2% in Picayune.
- The percentage of residents identifying as two or more races is higher in Lake butler at 13%, compared to 5% in Picayune.
- The percentage of American Indian residents is the same in both Picayune and Lake butler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Picayune | Lake butler |
---|---|---|
Mental Health Not Good | 18.4% | 13.0% |
Physical Health Not Good | 14.3% | 7.3% |
Depression | 24.0% | 16.3% |
Smoking | 23.3% | 11.4% |
Binge Drinking | 13.3% | 15.8% |
Obesity | 44.0% | 23.4% |
Disability Percentage | 21.0% | 7.0% |
Health Statistics Comparison: Picayune vs Lake butler
- More residents in Picayune report poor mental health at 18.4% compared to 13.0% in Lake butler.
- Depression is more prevalent in Picayune at 24.0% compared to 16.3% in Lake butler.
- Smoking is more prevalent in Picayune at 23.3% compared to 11.4% in Lake butler.
- More residents engage in binge drinking in Lake butler at 15.8% compared to 13.3% in Picayune.
- Obesity rates are higher in Picayune at 44.0% compared to 23.4% in Lake butler.
- Disability percentages are higher in Picayune at 21.0% compared to 7.0% in Lake butler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Picayune | Lake butler |
---|---|---|
No Schooling | 0.6% (73) | 0.2% (37) |
High School Diploma | 17.8% (2,108) | 5.1% (899) |
Less than High School | 11.8% (1,392) | 2.9% (520) |
Bachelor's Degree and Higher | 10.1% (1,200) | 41.2% (7,325) |
Education Levels Comparison: Picayune vs Lake butler
- A higher percentage of residents in Picayune have no formal schooling at 0.6% compared to 0.2% in Lake butler.
- A higher percentage of residents in Picayune hold a high school diploma at 17.8% compared to 5.1% in Lake butler.
- More residents in Picayune have less than a high school education at 11.8% compared to 2.9% in Lake butler.
- In Lake butler, a larger share of residents have a bachelor's degree or higher at 41.2% 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.