Demographics details for Falling waters, WV vs New bern, NC
Population Overview
Compare main population characteristics in Falling waters, WV vs New bern, NC.
| Data | Falling waters | New bern |
|---|---|---|
| Population | 2,150 | 31,539 |
| Median Age | 32.2 years | 40.4 years |
| Median Income | $84,038 | $55,673 |
| Married Families | 29.0% | 38.0% |
| Poverty Level | 9% | 8% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Falling waters vs New bern
- The population in New bern is higher at 31,539, compared to 2,150 in Falling waters.
- The median age in New bern is higher at 40.4 years, compared to 32.2 years in Falling waters.
- Falling waters has a higher median income of $84,038 compared to $55,673 in New bern.
- In New bern, the percentage of married families is higher at 38.0%, compared to 29.0% in Falling waters.
- Falling waters has a higher poverty level at 9% compared to 8% in New bern.
- New bern has a higher unemployment rate at 4.0% compared to 3.5% in Falling waters.
Demographics
Demographics Falling waters vs New bern provide insight into the diversity of the communities to compare.
| Demographic | Falling waters | New bern |
|---|---|---|
| Black | 6 | 31 |
| White | 92 | 52 |
| Asian | Data is updating | 5 |
| Hispanic | Data is updating | 6 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Falling waters vs New bern
- In New bern, the percentage of Black residents is higher at 31% compared to 6% in Falling waters.
- Falling waters has a higher percentage of White residents at 92% compared to 52% in New bern.
- In New bern, the Asian population stands at 5%, greater than 0% in Falling waters.
- New bern has a higher percentage of Hispanic residents at 6%, compared to 0% in Falling waters.
- The percentage of residents identifying as two or more races is higher in New bern at 5%, compared to 2% in Falling waters.
- In New bern, the percentage of American Indian residents is higher at 1%, compared to 0% in Falling waters.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Falling waters | New bern |
|---|---|---|
| Mental Health Not Good | 18.5% | 17.0% |
| Physical Health Not Good | 11.9% | 12.4% |
| Depression | 25.7% | 23.1% |
| Smoking | 18.7% | 19.2% |
| Binge Drinking | 15.2% | 15.7% |
| Obesity | 37.6% | 39.6% |
| Disability Percentage | 24.0% | 14.0% |
Health Statistics Comparison: Falling waters vs New bern
- More residents in Falling waters report poor mental health at 18.5% compared to 17.0% in New bern.
- Depression is more prevalent in Falling waters at 25.7% compared to 23.1% in New bern.
- New bern has a higher smoking rate at 19.2% compared to 18.7% in Falling waters.
- More residents engage in binge drinking in New bern at 15.7% compared to 15.2% in Falling waters.
- New bern has higher obesity rates at 39.6% compared to 37.6% in Falling waters.
- Disability percentages are higher in Falling waters at 24.0% 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 | Falling waters | New bern |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (226) |
| High School Diploma | 22.4% (482) | 14.6% (4,607) |
| Less than High School | 4.7% (102) | 10.3% (3,249) |
| Bachelor's Degree and Higher | 11.0% (237) | 20.0% (6,293) |
Education Levels Comparison: Falling waters vs New bern
- In New bern, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Falling waters.
- A higher percentage of residents in Falling waters hold a high school diploma at 22.4% 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 4.7% in Falling waters.
- In New bern, a larger share of residents have a bachelor's degree or higher at 20.0% compared to 11.0% in Falling waters.
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.