Demographics details for New bern, NC vs White house, TN
Population Overview
Compare main population characteristics in New bern, NC vs White house, TN.
| Data | New bern | White house |
|---|---|---|
| Population | 31,539 | 14,516 |
| Median Age | 40.4 years | 36.5 years |
| Median Income | $55,673 | $85,404 |
| Married Families | 38.0% | 46.0% |
| Poverty Level | 8% | 7% |
| Unemployment Rate | 4.0 | 3.4 |
Population Comparison: New bern vs White house
- In New bern, the population is higher at 31,539, compared to 14,516 in White house.
- Residents in New bern have a higher median age of 40.4 years compared to 36.5 years in White house.
- White house has a higher median income of $85,404, compared to $55,673 in New bern.
- In White house, the percentage of married families is higher at 46.0%, compared to 38.0% in New bern.
- New bern has a higher poverty level at 8% compared to 7% in White house.
- The unemployment rate in New bern is higher at 4.0%, compared to 3.4% in White house.
Demographics
Demographics New bern vs White house provide insight into the diversity of the communities to compare.
| Demographic | New bern | White house |
|---|---|---|
| Black | 31 | 2 |
| White | 52 | 87 |
| Asian | 5 | 1 |
| Hispanic | 6 | 4 |
| Two or More Races | 5 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: New bern vs White house
- A higher percentage of Black residents are in New bern at 31% compared to 2% in White house.
- The percentage of White residents is higher in White house at 87% compared to 52% in New bern.
- The Asian population is larger in New bern at 5% compared to 1% in White house.
- The Hispanic community is larger in New bern at 6% compared to 4% in White house.
- The percentage of residents identifying as two or more races is higher in White house at 6%, compared to 5% in New bern.
- A greater percentage of American Indian residents live in New bern at 1% compared to 0% in White house.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New bern | White house |
|---|---|---|
| Mental Health Not Good | 17.0% | 17.5% |
| Physical Health Not Good | 12.4% | 11.0% |
| Depression | 23.1% | 27.6% |
| Smoking | 19.2% | 17.7% |
| Binge Drinking | 15.7% | 16.7% |
| Obesity | 39.6% | 32.5% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: New bern vs White house
- In White house, a higher percentage report poor mental health at 17.5% compared to 17.0% in New bern.
- Higher depression rates are seen in White house at 27.6% versus 23.1% in New bern.
- Smoking is more prevalent in New bern at 19.2% compared to 17.7% in White house.
- More residents engage in binge drinking in White house at 16.7% compared to 15.7% in New bern.
- Obesity rates are higher in New bern at 39.6% compared to 32.5% in White house.
- Disability percentages are higher in New bern at 14.0% compared to 11.0% in White house.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New bern | White house |
|---|---|---|
| No Schooling | 0.7% (226) | 0.2% (30) |
| High School Diploma | 14.6% (4,607) | 18.0% (2,617) |
| Less than High School | 10.3% (3,249) | 12.4% (1,794) |
| Bachelor's Degree and Higher | 20.0% (6,293) | 15.4% (2,235) |
Education Levels Comparison: New bern vs White house
- A higher percentage of residents in New bern have no formal schooling at 0.7% compared to 0.2% in White house.
- In White house, the rate of residents with high school diplomas is higher at 18.0% compared to 14.6% in New bern.
- The percentage of residents with less than a high school education is higher in White house at 12.4%, 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 15.4% in White house.
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.