Demographics details for Picayune, MS vs Pittsburg, CA
Population Overview
Compare main population characteristics in Picayune, MS vs Pittsburg, CA.
| Data | Picayune | Pittsburg |
|---|---|---|
| Population | 11,826 | 77,572 |
| Median Age | 38.3 years | 35.2 years |
| Median Income | $35,649 | $98,408 |
| Married Families | 27.0% | 37.0% |
| Poverty Level | 21% | Data is updating |
| Unemployment Rate | 4.5 | 5.3 |
Population Comparison: Picayune vs Pittsburg
- The population in Pittsburg is higher at 77,572, compared to 11,826 in Picayune.
- Residents in Picayune have a higher median age of 38.3 years compared to 35.2 years in Pittsburg.
- Pittsburg has a higher median income of $98,408, compared to $35,649 in Picayune.
- In Pittsburg, the percentage of married families is higher at 37.0%, compared to 27.0% in Picayune.
- Picayune has a higher poverty level at 21% compared to 0% in Pittsburg.
- Pittsburg has a higher unemployment rate at 5.3% compared to 4.5% in Picayune.
Demographics
Demographics Picayune vs Pittsburg provide insight into the diversity of the communities to compare.
| Demographic | Picayune | Pittsburg |
|---|---|---|
| Black | 38 | 15 |
| White | 55 | 9 |
| Asian | Data is updating | 18 |
| Hispanic | 2 | 43 |
| Two or More Races | 5 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Picayune vs Pittsburg
- A higher percentage of Black residents are in Picayune at 38% compared to 15% in Pittsburg.
- Picayune has a higher percentage of White residents at 55% compared to 9% in Pittsburg.
- In Pittsburg, the Asian population stands at 18%, greater than 0% in Picayune.
- Pittsburg has a higher percentage of Hispanic residents at 43%, compared to 2% in Picayune.
- The percentage of residents identifying as two or more races is higher in Pittsburg at 14%, compared to 5% in Picayune.
- In Pittsburg, the percentage of American Indian residents is higher at 1%, compared to 0% in Picayune.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Picayune | Pittsburg |
|---|---|---|
| Mental Health Not Good | 18.4% | 15.8% |
| Physical Health Not Good | 14.3% | 11.8% |
| Depression | 24.0% | 16.7% |
| Smoking | 23.3% | 12.7% |
| Binge Drinking | 13.3% | 15.0% |
| Obesity | 44.0% | 28.4% |
| Disability Percentage | 21.0% | 13.0% |
Health Statistics Comparison: Picayune vs Pittsburg
- More residents in Picayune report poor mental health at 18.4% compared to 15.8% in Pittsburg.
- Depression is more prevalent in Picayune at 24.0% compared to 16.7% in Pittsburg.
- Smoking is more prevalent in Picayune at 23.3% compared to 12.7% in Pittsburg.
- More residents engage in binge drinking in Pittsburg at 15.0% compared to 13.3% in Picayune.
- Obesity rates are higher in Picayune at 44.0% compared to 28.4% in Pittsburg.
- Disability percentages are higher in Picayune at 21.0% compared to 13.0% in Pittsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Picayune | Pittsburg |
|---|---|---|
| No Schooling | 0.6% (73) | 3.1% (2,439) |
| High School Diploma | 17.8% (2,108) | 14.5% (11,263) |
| Less than High School | 11.8% (1,392) | 23.3% (18,048) |
| Bachelor's Degree and Higher | 10.1% (1,200) | 14.8% (11,476) |
Education Levels Comparison: Picayune vs Pittsburg
- In Pittsburg, a larger percentage of residents lack formal schooling at 3.1% compared to 0.6% in Picayune.
- A higher percentage of residents in Picayune hold a high school diploma at 17.8% compared to 14.5% in Pittsburg.
- The percentage of residents with less than a high school education is higher in Pittsburg at 23.3%, compared to 11.8% in Picayune.
- In Pittsburg, a larger share of residents have a bachelor's degree or higher at 14.8% 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.