Demographics details for New bern, NC vs Saint marys, WV
Population Overview
Compare main population characteristics in New bern, NC vs Saint marys, WV.
| Data | New bern | Saint marys |
|---|---|---|
| Population | 31,539 | 1,808 |
| Median Age | 40.4 years | 40.5 years |
| Median Income | $55,673 | $53,125 |
| Married Families | 38.0% | 52.0% |
| Poverty Level | 8% | 11% |
| Unemployment Rate | 4.0 | 4.3 |
Population Comparison: New bern vs Saint marys
- In New bern, the population is higher at 31,539, compared to 1,808 in Saint marys.
- The median age in Saint marys is higher at 40.5 years, compared to 40.4 years in New bern.
- New bern has a higher median income of $55,673 compared to $53,125 in Saint marys.
- In Saint marys, the percentage of married families is higher at 52.0%, compared to 38.0% in New bern.
- The poverty level is higher in Saint marys at 11%, compared to 8% in New bern.
- Saint marys has a higher unemployment rate at 4.3% compared to 4.0% in New bern.
Demographics
Demographics New bern vs Saint marys provide insight into the diversity of the communities to compare.
| Demographic | New bern | Saint marys |
|---|---|---|
| Black | 31 | Data is updating |
| White | 52 | 91 |
| Asian | 5 | Data is updating |
| Hispanic | 6 | 4 |
| Two or More Races | 5 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: New bern vs Saint marys
- A higher percentage of Black residents are in New bern at 31% compared to 0% in Saint marys.
- The percentage of White residents is higher in Saint marys at 91% compared to 52% in New bern.
- The Asian population is larger in New bern at 5% compared to 0% in Saint marys.
- The Hispanic community is larger in New bern at 6% compared to 4% in Saint marys.
- Both New bern and Saint marys have the same percentage of residents identifying as two or more races at 5%.
- A greater percentage of American Indian residents live in New bern at 1% compared to 0% in Saint marys.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New bern | Saint marys |
|---|---|---|
| Mental Health Not Good | 17.0% | 20.2% |
| Physical Health Not Good | 12.4% | 14.0% |
| Depression | 23.1% | 28.5% |
| Smoking | 19.2% | 22.0% |
| Binge Drinking | 15.7% | 14.5% |
| Obesity | 39.6% | 44.3% |
| Disability Percentage | 14.0% | 21.0% |
Health Statistics Comparison: New bern vs Saint marys
- In Saint marys, a higher percentage report poor mental health at 20.2% compared to 17.0% in New bern.
- Higher depression rates are seen in Saint marys at 28.5% versus 23.1% in New bern.
- Saint marys has a higher smoking rate at 22.0% compared to 19.2% in New bern.
- Binge drinking is more common in New bern at 15.7% compared to 14.5% in Saint marys.
- Saint marys has higher obesity rates at 44.3% compared to 39.6% in New bern.
- There is a higher percentage of disabled individuals in Saint marys at 21.0% compared to 14.0% in New bern.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New bern | Saint marys |
|---|---|---|
| No Schooling | 0.7% (226) | 0.0% (Data is updating) |
| High School Diploma | 14.6% (4,607) | 34.4% (622) |
| Less than High School | 10.3% (3,249) | 15.7% (284) |
| Bachelor's Degree and Higher | 20.0% (6,293) | 15.0% (272) |
Education Levels Comparison: New bern vs Saint marys
- A higher percentage of residents in New bern have no formal schooling at 0.7% compared to 0.0% in Saint marys.
- In Saint marys, the rate of residents with high school diplomas is higher at 34.4% compared to 14.6% in New bern.
- The percentage of residents with less than a high school education is higher in Saint marys at 15.7%, compared to 10.3% in New bern.
- A higher percentage of residents in New bern hold a bachelor's degree or higher at 20.0% compared to 15.0% in Saint marys.
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.