Demographics details for Mansfield, OH vs Hope mills, NC
Population Overview
Compare main population characteristics in Mansfield, OH vs Hope mills, NC.
| Data | Mansfield | Hope mills |
|---|---|---|
| Population | 47,865 | 17,824 |
| Median Age | 38.9 years | 32.5 years |
| Median Income | $40,996 | $57,864 |
| Married Families | 25.0% | 34.0% |
| Poverty Level | 18% | 10% |
| Unemployment Rate | 6.8 | 4.2 |
Population Comparison: Mansfield vs Hope mills
- In Mansfield, the population is higher at 47,865, compared to 17,824 in Hope mills.
- Residents in Mansfield have a higher median age of 38.9 years compared to 32.5 years in Hope mills.
- Hope mills has a higher median income of $57,864, compared to $40,996 in Mansfield.
- In Hope mills, the percentage of married families is higher at 34.0%, compared to 25.0% in Mansfield.
- Mansfield has a higher poverty level at 18% compared to 10% in Hope mills.
- The unemployment rate in Mansfield is higher at 6.8%, compared to 4.2% in Hope mills.
Demographics
Demographics Mansfield vs Hope mills provide insight into the diversity of the communities to compare.
| Demographic | Mansfield | Hope mills |
|---|---|---|
| Black | 19 | 34 |
| White | 69 | 35 |
| Asian | 1 | 1 |
| Hispanic | 3 | 15 |
| Two or More Races | 8 | 13 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Mansfield vs Hope mills
- In Hope mills, the percentage of Black residents is higher at 34% compared to 19% in Mansfield.
- Mansfield has a higher percentage of White residents at 69% compared to 35% in Hope mills.
- Both Mansfield and Hope mills have the same percentage of Asian residents at 1%.
- Hope mills has a higher percentage of Hispanic residents at 15%, compared to 3% in Mansfield.
- The percentage of residents identifying as two or more races is higher in Hope mills at 13%, compared to 8% in Mansfield.
- In Hope mills, the percentage of American Indian residents is higher at 2%, compared to 0% in Mansfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mansfield | Hope mills |
|---|---|---|
| Mental Health Not Good | 19.6% | 17.6% |
| Physical Health Not Good | 14.9% | 11.9% |
| Depression | 24.4% | 25.9% |
| Smoking | 27.4% | 17.5% |
| Binge Drinking | 16.7% | 17.6% |
| Obesity | 44.5% | 38.5% |
| Disability Percentage | 18.0% | 16.0% |
Health Statistics Comparison: Mansfield vs Hope mills
- More residents in Mansfield report poor mental health at 19.6% compared to 17.6% in Hope mills.
- Higher depression rates are seen in Hope mills at 25.9% versus 24.4% in Mansfield.
- Smoking is more prevalent in Mansfield at 27.4% compared to 17.5% in Hope mills.
- More residents engage in binge drinking in Hope mills at 17.6% compared to 16.7% in Mansfield.
- Obesity rates are higher in Mansfield at 44.5% compared to 38.5% in Hope mills.
- Disability percentages are higher in Mansfield at 18.0% 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 | Mansfield | Hope mills |
|---|---|---|
| No Schooling | 1.0% (463) | 0.4% (68) |
| High School Diploma | 23.0% (11,014) | 14.7% (2,614) |
| Less than High School | 15.7% (7,522) | 6.9% (1,237) |
| Bachelor's Degree and Higher | 11.2% (5,339) | 13.7% (2,437) |
Education Levels Comparison: Mansfield vs Hope mills
- A higher percentage of residents in Mansfield have no formal schooling at 1.0% compared to 0.4% in Hope mills.
- A higher percentage of residents in Mansfield hold a high school diploma at 23.0% compared to 14.7% in Hope mills.
- More residents in Mansfield have less than a high school education at 15.7% compared to 6.9% in Hope mills.
- In Hope mills, a larger share of residents have a bachelor's degree or higher at 13.7% compared to 11.2% in Mansfield.
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.