Demographics details for Charleston, SC vs Pittsburg, CA
Population Overview
Compare main population characteristics in Charleston, SC vs Pittsburg, CA.
| Data | Charleston | Pittsburg |
|---|---|---|
| Population | 153,672 | 77,572 |
| Median Age | 36.3 years | 35.2 years |
| Median Income | $83,891 | $98,408 |
| Married Families | 37.0% | 37.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.8 | 5.3 |
Population Comparison: Charleston vs Pittsburg
- In Charleston, the population is higher at 153,672, compared to 77,572 in Pittsburg.
- Residents in Charleston have a higher median age of 36.3 years compared to 35.2 years in Pittsburg.
- Pittsburg has a higher median income of $98,408, compared to $83,891 in Charleston.
- The percentage of married families is the same in both Charleston and Pittsburg at 37.0%.
- Charleston has a higher poverty level at 12% compared to 0% in Pittsburg.
- Pittsburg has a higher unemployment rate at 5.3% compared to 3.8% in Charleston.
Demographics
Demographics Charleston vs Pittsburg provide insight into the diversity of the communities to compare.
| Demographic | Charleston | Pittsburg |
|---|---|---|
| Black | 18 | 15 |
| White | 71 | 9 |
| Asian | 2 | 18 |
| Hispanic | 5 | 43 |
| Two or More Races | 4 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Charleston vs Pittsburg
- A higher percentage of Black residents are in Charleston at 18% compared to 15% in Pittsburg.
- Charleston has a higher percentage of White residents at 71% compared to 9% in Pittsburg.
- In Pittsburg, the Asian population stands at 18%, greater than 2% in Charleston.
- Pittsburg has a higher percentage of Hispanic residents at 43%, compared to 5% in Charleston.
- The percentage of residents identifying as two or more races is higher in Pittsburg at 14%, compared to 4% in Charleston.
- In Pittsburg, the percentage of American Indian residents is higher at 1%, compared to 0% in Charleston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Charleston | Pittsburg |
|---|---|---|
| Mental Health Not Good | 15.6% | 15.8% |
| Physical Health Not Good | 9.4% | 11.8% |
| Depression | 19.6% | 16.7% |
| Smoking | 13.0% | 12.7% |
| Binge Drinking | 23.0% | 15.0% |
| Obesity | 31.8% | 28.4% |
| Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: Charleston vs Pittsburg
- In Pittsburg, a higher percentage report poor mental health at 15.8% compared to 15.6% in Charleston.
- Depression is more prevalent in Charleston at 19.6% compared to 16.7% in Pittsburg.
- Smoking is more prevalent in Charleston at 13.0% compared to 12.7% in Pittsburg.
- Binge drinking is more common in Charleston at 23.0% compared to 15.0% in Pittsburg.
- Obesity rates are higher in Charleston at 31.8% compared to 28.4% in Pittsburg.
- There is a higher percentage of disabled individuals in Pittsburg at 13.0% compared to 9.0% in Charleston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Charleston | Pittsburg |
|---|---|---|
| No Schooling | 0.4% (646) | 3.1% (2,439) |
| High School Diploma | 9.1% (13,959) | 14.5% (11,263) |
| Less than High School | 4.3% (6,655) | 23.3% (18,048) |
| Bachelor's Degree and Higher | 39.9% (61,263) | 14.8% (11,476) |
Education Levels Comparison: Charleston vs Pittsburg
- In Pittsburg, a larger percentage of residents lack formal schooling at 3.1% compared to 0.4% in Charleston.
- In Pittsburg, the rate of residents with high school diplomas is higher at 14.5% compared to 9.1% in Charleston.
- The percentage of residents with less than a high school education is higher in Pittsburg at 23.3%, compared to 4.3% in Charleston.
- A higher percentage of residents in Charleston hold a bachelor's degree or higher at 39.9% compared to 14.8% in Pittsburg.
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.