Demographics details for Windham, OH vs Hope mills, NC
Population Overview
Compare main population characteristics in Windham, OH vs Hope mills, NC.
| Data | Windham | Hope mills |
|---|---|---|
| Population | 1,664 | 17,824 |
| Median Age | 29.0 years | 32.5 years |
| Median Income | $39,000 | $57,864 |
| Married Families | 29.0% | 34.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Windham vs Hope mills
- The population in Hope mills is higher at 17,824, compared to 1,664 in Windham.
- The median age in Hope mills is higher at 32.5 years, compared to 29.0 years in Windham.
- Hope mills has a higher median income of $57,864, compared to $39,000 in Windham.
- In Hope mills, the percentage of married families is higher at 34.0%, compared to 29.0% in Windham.
- Windham has a higher poverty level at 12% compared to 10% in Hope mills.
- The unemployment rate in Windham is higher at 4.5%, compared to 4.2% in Hope mills.
Demographics
Demographics Windham vs Hope mills provide insight into the diversity of the communities to compare.
| Demographic | Windham | Hope mills |
|---|---|---|
| Black | 8 | 34 |
| White | 84 | 35 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 15 |
| Two or More Races | 8 | 13 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Windham vs Hope mills
- In Hope mills, the percentage of Black residents is higher at 34% compared to 8% in Windham.
- Windham has a higher percentage of White residents at 84% compared to 35% in Hope mills.
- In Hope mills, the Asian population stands at 1%, greater than 0% in Windham.
- Hope mills has a higher percentage of Hispanic residents at 15%, compared to 0% in Windham.
- The percentage of residents identifying as two or more races is higher in Hope mills at 13%, compared to 8% in Windham.
- In Hope mills, the percentage of American Indian residents is higher at 2%, compared to 0% in Windham.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Windham | Hope mills |
|---|---|---|
| Mental Health Not Good | 18.7% | 17.6% |
| Physical Health Not Good | 13.4% | 11.9% |
| Depression | 23.7% | 25.9% |
| Smoking | 24.2% | 17.5% |
| Binge Drinking | 18.2% | 17.6% |
| Obesity | 37.9% | 38.5% |
| Disability Percentage | 29.0% | 16.0% |
Health Statistics Comparison: Windham vs Hope mills
- More residents in Windham report poor mental health at 18.7% compared to 17.6% in Hope mills.
- Higher depression rates are seen in Hope mills at 25.9% versus 23.7% in Windham.
- Smoking is more prevalent in Windham at 24.2% compared to 17.5% in Hope mills.
- Binge drinking is more common in Windham at 18.2% compared to 17.6% in Hope mills.
- Hope mills has higher obesity rates at 38.5% compared to 37.9% in Windham.
- Disability percentages are higher in Windham at 29.0% 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 | Windham | Hope mills |
|---|---|---|
| No Schooling | 1.1% (19) | 0.4% (68) |
| High School Diploma | 27.9% (465) | 14.7% (2,614) |
| Less than High School | 18.0% (299) | 6.9% (1,237) |
| Bachelor's Degree and Higher | 4.3% (71) | 13.7% (2,437) |
Education Levels Comparison: Windham vs Hope mills
- A higher percentage of residents in Windham have no formal schooling at 1.1% compared to 0.4% in Hope mills.
- A higher percentage of residents in Windham hold a high school diploma at 27.9% compared to 14.7% in Hope mills.
- More residents in Windham have less than a high school education at 18.0% 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 4.3% in Windham.
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.