Demographics details for Hope mills, NC vs Martinsburg, WV
Population Overview
Compare main population characteristics in Hope mills, NC vs Martinsburg, WV.
| Data | Hope mills | Martinsburg |
|---|---|---|
| Population | 17,824 | 18,953 |
| Median Age | 32.5 years | 36.4 years |
| Median Income | $57,864 | $55,240 |
| Married Families | 34.0% | 29.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Hope mills vs Martinsburg
- The population in Martinsburg is higher at 18,953, compared to 17,824 in Hope mills.
- The median age in Martinsburg is higher at 36.4 years, compared to 32.5 years in Hope mills.
- Hope mills has a higher median income of $57,864 compared to $55,240 in Martinsburg.
- A higher percentage of married families is found in Hope mills at 34.0% compared to 29.0% in Martinsburg.
- Hope mills has a higher poverty level at 10% compared to 8% in Martinsburg.
- Martinsburg has a higher unemployment rate at 4.5% compared to 4.2% in Hope mills.
Demographics
Demographics Hope mills vs Martinsburg provide insight into the diversity of the communities to compare.
| Demographic | Hope mills | Martinsburg |
|---|---|---|
| Black | 34 | 13 |
| White | 35 | 69 |
| Asian | 1 | 1 |
| Hispanic | 15 | 6 |
| Two or More Races | 13 | 11 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Hope mills vs Martinsburg
- A higher percentage of Black residents are in Hope mills at 34% compared to 13% in Martinsburg.
- The percentage of White residents is higher in Martinsburg at 69% compared to 35% in Hope mills.
- Both Hope mills and Martinsburg have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Hope mills at 15% compared to 6% in Martinsburg.
- More residents identify as two or more races in Hope mills at 13% compared to 11% in Martinsburg.
- A greater percentage of American Indian residents live in Hope mills at 2% compared to 0% in Martinsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hope mills | Martinsburg |
|---|---|---|
| Mental Health Not Good | 17.6% | 21.8% |
| Physical Health Not Good | 11.9% | 15.8% |
| Depression | 25.9% | 27.7% |
| Smoking | 17.5% | 24.7% |
| Binge Drinking | 17.6% | 12.6% |
| Obesity | 38.5% | 43.0% |
| Disability Percentage | 16.0% | 17.0% |
Health Statistics Comparison: Hope mills vs Martinsburg
- In Martinsburg, a higher percentage report poor mental health at 21.8% compared to 17.6% in Hope mills.
- Higher depression rates are seen in Martinsburg at 27.7% versus 25.9% in Hope mills.
- Martinsburg has a higher smoking rate at 24.7% compared to 17.5% in Hope mills.
- Binge drinking is more common in Hope mills at 17.6% compared to 12.6% in Martinsburg.
- Martinsburg has higher obesity rates at 43.0% compared to 38.5% in Hope mills.
- There is a higher percentage of disabled individuals in Martinsburg at 17.0% compared to 16.0% in Hope mills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hope mills | Martinsburg |
|---|---|---|
| No Schooling | 0.4% (68) | 0.8% (144) |
| High School Diploma | 14.7% (2,614) | 16.7% (3,171) |
| Less than High School | 6.9% (1,237) | 13.5% (2,556) |
| Bachelor's Degree and Higher | 13.7% (2,437) | 16.2% (3,077) |
Education Levels Comparison: Hope mills vs Martinsburg
- In Martinsburg, a larger percentage of residents lack formal schooling at 0.8% compared to 0.4% in Hope mills.
- In Martinsburg, the rate of residents with high school diplomas is higher at 16.7% compared to 14.7% in Hope mills.
- The percentage of residents with less than a high school education is higher in Martinsburg at 13.5%, compared to 6.9% in Hope mills.
- In Martinsburg, a larger share of residents have a bachelor's degree or higher at 16.2% compared to 13.7% in Hope mills.
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.