Demographics details for Clayton, NC vs Pittsburg, CA
Population Overview
Compare main population characteristics in Clayton, NC vs Pittsburg, CA.
| Data | Clayton | Pittsburg |
|---|---|---|
| Population | 29,445 | 77,572 |
| Median Age | 32.6 years | 35.2 years |
| Median Income | $71,698 | $98,408 |
| Married Families | 35.0% | 37.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 3.7 | 5.3 |
Population Comparison: Clayton vs Pittsburg
- The population in Pittsburg is higher at 77,572, compared to 29,445 in Clayton.
- The median age in Pittsburg is higher at 35.2 years, compared to 32.6 years in Clayton.
- Pittsburg has a higher median income of $98,408, compared to $71,698 in Clayton.
- In Pittsburg, the percentage of married families is higher at 37.0%, compared to 35.0% in Clayton.
- Clayton has a higher poverty level at 5% compared to 0% in Pittsburg.
- Pittsburg has a higher unemployment rate at 5.3% compared to 3.7% in Clayton.
Demographics
Demographics Clayton vs Pittsburg provide insight into the diversity of the communities to compare.
| Demographic | Clayton | Pittsburg |
|---|---|---|
| Black | 22 | 15 |
| White | 59 | 9 |
| Asian | 1 | 18 |
| Hispanic | 13 | 43 |
| Two or More Races | 5 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Clayton vs Pittsburg
- A higher percentage of Black residents are in Clayton at 22% compared to 15% in Pittsburg.
- Clayton has a higher percentage of White residents at 59% compared to 9% in Pittsburg.
- In Pittsburg, the Asian population stands at 18%, greater than 1% in Clayton.
- Pittsburg has a higher percentage of Hispanic residents at 43%, compared to 13% in Clayton.
- The percentage of residents identifying as two or more races is higher in Pittsburg at 14%, compared to 5% in Clayton.
- In Pittsburg, the percentage of American Indian residents is higher at 1%, compared to 0% in Clayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clayton | Pittsburg |
|---|---|---|
| Mental Health Not Good | 15.6% | 15.8% |
| Physical Health Not Good | 10.4% | 11.8% |
| Depression | 23.1% | 16.7% |
| Smoking | 15.2% | 12.7% |
| Binge Drinking | 17.6% | 15.0% |
| Obesity | 39.9% | 28.4% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Clayton vs Pittsburg
- In Pittsburg, a higher percentage report poor mental health at 15.8% compared to 15.6% in Clayton.
- Depression is more prevalent in Clayton at 23.1% compared to 16.7% in Pittsburg.
- Smoking is more prevalent in Clayton at 15.2% compared to 12.7% in Pittsburg.
- Binge drinking is more common in Clayton at 17.6% compared to 15.0% in Pittsburg.
- Obesity rates are higher in Clayton at 39.9% compared to 28.4% in Pittsburg.
- There is a higher percentage of disabled individuals in Pittsburg at 13.0% compared to 10.0% in Clayton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clayton | Pittsburg |
|---|---|---|
| No Schooling | 0.7% (210) | 3.1% (2,439) |
| High School Diploma | 12.6% (3,700) | 14.5% (11,263) |
| Less than High School | 5.4% (1,598) | 23.3% (18,048) |
| Bachelor's Degree and Higher | 18.6% (5,471) | 14.8% (11,476) |
Education Levels Comparison: Clayton vs Pittsburg
- In Pittsburg, a larger percentage of residents lack formal schooling at 3.1% compared to 0.7% in Clayton.
- In Pittsburg, the rate of residents with high school diplomas is higher at 14.5% compared to 12.6% in Clayton.
- The percentage of residents with less than a high school education is higher in Pittsburg at 23.3%, compared to 5.4% in Clayton.
- A higher percentage of residents in Clayton hold a bachelor's degree or higher at 18.6% 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.