Demographics details for Manila, UT vs Picayune, MS
Population Overview
Compare main population characteristics in Manila, UT vs Picayune, MS.
| Data | Manila | Picayune |
|---|---|---|
| Population | 339 | 11,826 |
| Median Age | 38.8 years | 38.3 years |
| Median Income | $77,813 | $35,649 |
| Married Families | 42.0% | 27.0% |
| Poverty Level | Data is updating | 21% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Manila vs Picayune
- The population in Picayune is higher at 11,826, compared to 339 in Manila.
- Residents in Manila have a higher median age of 38.8 years compared to 38.3 years in Picayune.
- Manila has a higher median income of $77,813 compared to $35,649 in Picayune.
- A higher percentage of married families is found in Manila at 42.0% compared to 27.0% in Picayune.
- The poverty level is higher in Picayune at 21%, compared to 0% in Manila.
- Picayune has a higher unemployment rate at 4.5% compared to 2.5% in Manila.
Demographics
Demographics Manila vs Picayune provide insight into the diversity of the communities to compare.
| Demographic | Manila | Picayune |
|---|---|---|
| Black | Data is updating | 38 |
| White | 96 | 55 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 2 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Manila vs Picayune
- In Picayune, the percentage of Black residents is higher at 38% compared to 0% in Manila.
- Manila has a higher percentage of White residents at 96% compared to 55% in Picayune.
- Both Manila and Picayune have the same percentage of Asian residents at 0%.
- Picayune has a higher percentage of Hispanic residents at 2%, compared to 0% in Manila.
- The percentage of residents identifying as two or more races is higher in Picayune at 5%, compared to 4% in Manila.
- The percentage of American Indian residents is the same in both Manila and Picayune at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manila | Picayune |
|---|---|---|
| Mental Health Not Good | 16.6% | 18.4% |
| Physical Health Not Good | 10.5% | 14.3% |
| Depression | 23.7% | 24.0% |
| Smoking | 11.2% | 23.3% |
| Binge Drinking | 14.3% | 13.3% |
| Obesity | 33.2% | 44.0% |
| Disability Percentage | 9.0% | 21.0% |
Health Statistics Comparison: Manila vs Picayune
- In Picayune, a higher percentage report poor mental health at 18.4% compared to 16.6% in Manila.
- Higher depression rates are seen in Picayune at 24.0% versus 23.7% in Manila.
- Picayune has a higher smoking rate at 23.3% compared to 11.2% in Manila.
- Binge drinking is more common in Manila at 14.3% compared to 13.3% in Picayune.
- Picayune has higher obesity rates at 44.0% compared to 33.2% in Manila.
- There is a higher percentage of disabled individuals in Picayune at 21.0% compared to 9.0% in Manila.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Manila | Picayune |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (73) |
| High School Diploma | 14.5% (49) | 17.8% (2,108) |
| Less than High School | 8.3% (28) | 11.8% (1,392) |
| Bachelor's Degree and Higher | 12.4% (42) | 10.1% (1,200) |
Education Levels Comparison: Manila vs Picayune
- In Picayune, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Manila.
- In Picayune, the rate of residents with high school diplomas is higher at 17.8% compared to 14.5% in Manila.
- The percentage of residents with less than a high school education is higher in Picayune at 11.8%, compared to 8.3% in Manila.
- A higher percentage of residents in Manila hold a bachelor's degree or higher at 12.4% 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.