Demographics details for Suffolk, VA vs New bern, NC
Population Overview
Compare main population characteristics in Suffolk, VA vs New bern, NC.
| Data | Suffolk | New bern |
|---|---|---|
| Population | 98,537 | 31,539 |
| Median Age | 38.5 years | 40.4 years |
| Median Income | $87,758 | $55,673 |
| Married Families | 40.0% | 38.0% |
| Poverty Level | 7% | 8% |
| Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Suffolk vs New bern
- In Suffolk, the population is higher at 98,537, compared to 31,539 in New bern.
- The median age in New bern is higher at 40.4 years, compared to 38.5 years in Suffolk.
- Suffolk has a higher median income of $87,758 compared to $55,673 in New bern.
- A higher percentage of married families is found in Suffolk at 40.0% compared to 38.0% in New bern.
- The poverty level is higher in New bern at 8%, compared to 7% in Suffolk.
- New bern has a higher unemployment rate at 4.0% compared to 3.2% in Suffolk.
Demographics
Demographics Suffolk vs New bern provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | New bern |
|---|---|---|
| Black | 40 | 31 |
| White | 47 | 52 |
| Asian | 2 | 5 |
| Hispanic | 5 | 6 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Suffolk vs New bern
- A higher percentage of Black residents are in Suffolk at 40% compared to 31% in New bern.
- The percentage of White residents is higher in New bern at 52% compared to 47% in Suffolk.
- In New bern, the Asian population stands at 5%, greater than 2% in Suffolk.
- New bern has a higher percentage of Hispanic residents at 6%, compared to 5% in Suffolk.
- More residents identify as two or more races in Suffolk at 6% compared to 5% in New bern.
- In New bern, the percentage of American Indian residents is higher at 1%, compared to 0% in Suffolk.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | New bern |
|---|---|---|
| Mental Health Not Good | 16.6% | 17.0% |
| Physical Health Not Good | 10.6% | 12.4% |
| Depression | 21.4% | 23.1% |
| Smoking | 15.3% | 19.2% |
| Binge Drinking | 16.6% | 15.7% |
| Obesity | 42.4% | 39.6% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Suffolk vs New bern
- In New bern, a higher percentage report poor mental health at 17.0% compared to 16.6% in Suffolk.
- Higher depression rates are seen in New bern at 23.1% versus 21.4% in Suffolk.
- New bern has a higher smoking rate at 19.2% compared to 15.3% in Suffolk.
- Binge drinking is more common in Suffolk at 16.6% compared to 15.7% in New bern.
- Obesity rates are higher in Suffolk at 42.4% compared to 39.6% in New bern.
- There is a higher percentage of disabled individuals in New bern at 14.0% compared to 11.0% in Suffolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Suffolk | New bern |
|---|---|---|
| No Schooling | 1.0% (965) | 0.7% (226) |
| High School Diploma | 14.9% (14,643) | 14.6% (4,607) |
| Less than High School | 7.8% (7,701) | 10.3% (3,249) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 20.0% (6,293) |
Education Levels Comparison: Suffolk vs New bern
- A higher percentage of residents in Suffolk have no formal schooling at 1.0% compared to 0.7% in New bern.
- A higher percentage of residents in Suffolk hold a high school diploma at 14.9% compared to 14.6% in New bern.
- The percentage of residents with less than a high school education is higher in New bern at 10.3%, compared to 7.8% in Suffolk.
- A higher percentage of residents in Suffolk hold a bachelor's degree or higher at 21.0% 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.