Demographics details for Pittsburg, CA vs Pascagoula, MS
Population Overview
Compare main population characteristics in Pittsburg, CA vs Pascagoula, MS.
| Data | Pittsburg | Pascagoula |
|---|---|---|
| Population | 77,572 | 21,650 |
| Median Age | 35.2 years | 34.8 years |
| Median Income | $98,408 | $41,679 |
| Married Families | 37.0% | 28.0% |
| Poverty Level | Data is updating | 16% |
| Unemployment Rate | 5.3 | 3.8 |
Population Comparison: Pittsburg vs Pascagoula
- In Pittsburg, the population is higher at 77,572, compared to 21,650 in Pascagoula.
- Residents in Pittsburg have a higher median age of 35.2 years compared to 34.8 years in Pascagoula.
- Pittsburg has a higher median income of $98,408 compared to $41,679 in Pascagoula.
- A higher percentage of married families is found in Pittsburg at 37.0% compared to 28.0% in Pascagoula.
- The poverty level is higher in Pascagoula at 16%, compared to 0% in Pittsburg.
- The unemployment rate in Pittsburg is higher at 5.3%, compared to 3.8% in Pascagoula.
Demographics
Demographics Pittsburg vs Pascagoula provide insight into the diversity of the communities to compare.
| Demographic | Pittsburg | Pascagoula |
|---|---|---|
| Black | 15 | 37 |
| White | 9 | 45 |
| Asian | 18 | 1 |
| Hispanic | 43 | 13 |
| Two or More Races | 14 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pittsburg vs Pascagoula
- In Pascagoula, the percentage of Black residents is higher at 37% compared to 15% in Pittsburg.
- The percentage of White residents is higher in Pascagoula at 45% compared to 9% in Pittsburg.
- The Asian population is larger in Pittsburg at 18% compared to 1% in Pascagoula.
- The Hispanic community is larger in Pittsburg at 43% compared to 13% in Pascagoula.
- More residents identify as two or more races in Pittsburg at 14% compared to 4% in Pascagoula.
- A greater percentage of American Indian residents live in Pittsburg at 1% compared to 0% in Pascagoula.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburg | Pascagoula |
|---|---|---|
| Mental Health Not Good | 15.8% | 17.5% |
| Physical Health Not Good | 11.8% | 13.2% |
| Depression | 16.7% | 22.5% |
| Smoking | 12.7% | 20.8% |
| Binge Drinking | 15.0% | 14.2% |
| Obesity | 28.4% | 38.9% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Pittsburg vs Pascagoula
- In Pascagoula, a higher percentage report poor mental health at 17.5% compared to 15.8% in Pittsburg.
- Higher depression rates are seen in Pascagoula at 22.5% versus 16.7% in Pittsburg.
- Pascagoula has a higher smoking rate at 20.8% compared to 12.7% in Pittsburg.
- Binge drinking is more common in Pittsburg at 15.0% compared to 14.2% in Pascagoula.
- Pascagoula has higher obesity rates at 38.9% compared to 28.4% in Pittsburg.
- There is a higher percentage of disabled individuals in Pascagoula at 16.0% 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 | Pittsburg | Pascagoula |
|---|---|---|
| No Schooling | 3.1% (2,439) | 1.1% (237) |
| High School Diploma | 14.5% (11,263) | 15.1% (3,262) |
| Less than High School | 23.3% (18,048) | 12.2% (2,644) |
| Bachelor's Degree and Higher | 14.8% (11,476) | 11.6% (2,521) |
Education Levels Comparison: Pittsburg vs Pascagoula
- A higher percentage of residents in Pittsburg have no formal schooling at 3.1% compared to 1.1% in Pascagoula.
- In Pascagoula, the rate of residents with high school diplomas is higher at 15.1% compared to 14.5% in Pittsburg.
- More residents in Pittsburg have less than a high school education at 23.3% compared to 12.2% in Pascagoula.
- A higher percentage of residents in Pittsburg hold a bachelor's degree or higher at 14.8% compared to 11.6% in Pascagoula.
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.