Demographics details for Broken bow, NE vs High point, NC
Population Overview
Compare main population characteristics in Broken bow, NE vs High point, NC.
| Data | Broken bow | High point |
|---|---|---|
| Population | 3,474 | 115,067 |
| Median Age | 41.4 years | 37.7 years |
| Median Income | $49,425 | $58,582 |
| Married Families | 40.0% | 35.0% |
| Poverty Level | 11% | 15% |
| Unemployment Rate | 2.5 | 5.4 |
Population Comparison: Broken bow vs High point
- The population in High point is higher at 115,067, compared to 3,474 in Broken bow.
- Residents in Broken bow have a higher median age of 41.4 years compared to 37.7 years in High point.
- High point has a higher median income of $58,582, compared to $49,425 in Broken bow.
- A higher percentage of married families is found in Broken bow at 40.0% compared to 35.0% in High point.
- The poverty level is higher in High point at 15%, compared to 11% in Broken bow.
- High point has a higher unemployment rate at 5.4% compared to 2.5% in Broken bow.
Demographics
Demographics Broken bow vs High point provide insight into the diversity of the communities to compare.
| Demographic | Broken bow | High point |
|---|---|---|
| Black | 2 | 32 |
| White | 88 | 42 |
| Asian | Data is updating | 8 |
| Hispanic | 6 | 11 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Broken bow vs High point
- In High point, the percentage of Black residents is higher at 32% compared to 2% in Broken bow.
- Broken bow has a higher percentage of White residents at 88% compared to 42% in High point.
- In High point, the Asian population stands at 8%, greater than 0% in Broken bow.
- High point has a higher percentage of Hispanic residents at 11%, compared to 6% in Broken bow.
- The percentage of residents identifying as two or more races is higher in High point at 7%, compared to 4% in Broken bow.
- The percentage of American Indian residents is the same in both Broken bow and High point at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Broken bow | High point |
|---|---|---|
| Mental Health Not Good | 14.2% | 16.4% |
| Physical Health Not Good | 10.0% | 12.1% |
| Depression | 17.1% | 23.0% |
| Smoking | 16.3% | 17.1% |
| Binge Drinking | 20.7% | 15.5% |
| Obesity | 38.2% | 36.1% |
| Disability Percentage | 19.0% | 12.0% |
Health Statistics Comparison: Broken bow vs High point
- In High point, a higher percentage report poor mental health at 16.4% compared to 14.2% in Broken bow.
- Higher depression rates are seen in High point at 23.0% versus 17.1% in Broken bow.
- High point has a higher smoking rate at 17.1% compared to 16.3% in Broken bow.
- Binge drinking is more common in Broken bow at 20.7% compared to 15.5% in High point.
- Obesity rates are higher in Broken bow at 38.2% compared to 36.1% in High point.
- Disability percentages are higher in Broken bow at 19.0% compared to 12.0% in High point.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Broken bow | High point |
|---|---|---|
| No Schooling | 1.2% (42) | 1.4% (1,587) |
| High School Diploma | 19.8% (689) | 13.5% (15,564) |
| Less than High School | 7.3% (253) | 12.8% (14,768) |
| Bachelor's Degree and Higher | 14.7% (512) | 22.3% (25,678) |
Education Levels Comparison: Broken bow vs High point
- In High point, a larger percentage of residents lack formal schooling at 1.4% compared to 1.2% in Broken bow.
- A higher percentage of residents in Broken bow hold a high school diploma at 19.8% compared to 13.5% in High point.
- The percentage of residents with less than a high school education is higher in High point at 12.8%, compared to 7.3% in Broken bow.
- In High point, a larger share of residents have a bachelor's degree or higher at 22.3% compared to 14.7% in Broken bow.
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.