Demographics details for Pittsburgh, PA vs New bern, NC
Population Overview
Compare main population characteristics in Pittsburgh, PA vs New bern, NC.
| Data | Pittsburgh | New bern |
|---|---|---|
| Population | 302,898 | 31,539 |
| Median Age | 33.5 years | 40.4 years |
| Median Income | $60,187 | $55,673 |
| Married Families | 26.0% | 38.0% |
| Poverty Level | 15% | 8% |
| Unemployment Rate | 3.4 | 4.0 |
Population Comparison: Pittsburgh vs New bern
- In Pittsburgh, the population is higher at 302,898, compared to 31,539 in New bern.
- The median age in New bern is higher at 40.4 years, compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187 compared to $55,673 in New bern.
- In New bern, the percentage of married families is higher at 38.0%, compared to 26.0% in Pittsburgh.
- Pittsburgh has a higher poverty level at 15% compared to 8% in New bern.
- New bern has a higher unemployment rate at 4.0% compared to 3.4% in Pittsburgh.
Demographics
Demographics Pittsburgh vs New bern provide insight into the diversity of the communities to compare.
| Demographic | Pittsburgh | New bern |
|---|---|---|
| Black | 23 | 31 |
| White | 62 | 52 |
| Asian | 6 | 5 |
| Hispanic | 4 | 6 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pittsburgh vs New bern
- In New bern, the percentage of Black residents is higher at 31% compared to 23% in Pittsburgh.
- Pittsburgh has a higher percentage of White residents at 62% compared to 52% in New bern.
- The Asian population is larger in Pittsburgh at 6% compared to 5% in New bern.
- New bern has a higher percentage of Hispanic residents at 6%, compared to 4% in Pittsburgh.
- Both Pittsburgh and New bern have the same percentage of residents identifying as two or more races at 5%.
- In New bern, the percentage of American Indian residents is higher at 1%, compared to 0% in Pittsburgh.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburgh | New bern |
|---|---|---|
| Mental Health Not Good | 16.3% | 17.0% |
| Physical Health Not Good | 11.7% | 12.4% |
| Depression | 21.1% | 23.1% |
| Smoking | 18.8% | 19.2% |
| Binge Drinking | 19.3% | 15.7% |
| Obesity | 35.0% | 39.6% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Pittsburgh vs New bern
- In New bern, a higher percentage report poor mental health at 17.0% compared to 16.3% in Pittsburgh.
- Higher depression rates are seen in New bern at 23.1% versus 21.1% in Pittsburgh.
- New bern has a higher smoking rate at 19.2% compared to 18.8% in Pittsburgh.
- Binge drinking is more common in Pittsburgh at 19.3% compared to 15.7% in New bern.
- New bern has higher obesity rates at 39.6% compared to 35.0% in Pittsburgh.
- Disability percentages are the same in both Pittsburgh and New bern at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburgh | New bern |
|---|---|---|
| No Schooling | 0.6% (1,955) | 0.7% (226) |
| High School Diploma | 13.9% (42,015) | 14.6% (4,607) |
| Less than High School | 6.6% (20,087) | 10.3% (3,249) |
| Bachelor's Degree and Higher | 32.1% (97,219) | 20.0% (6,293) |
Education Levels Comparison: Pittsburgh vs New bern
- In New bern, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Pittsburgh.
- In New bern, the rate of residents with high school diplomas is higher at 14.6% compared to 13.9% in Pittsburgh.
- The percentage of residents with less than a high school education is higher in New bern at 10.3%, compared to 6.6% in Pittsburgh.
- A higher percentage of residents in Pittsburgh hold a bachelor's degree or higher at 32.1% compared to 20.0% in New bern.
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.