Demographics details for Hope mills, NC vs Surprise, AZ
Population Overview
Compare main population characteristics in Hope mills, NC vs Surprise, AZ.
| Data | Hope mills | Surprise |
|---|---|---|
| Population | 17,824 | 154,198 |
| Median Age | 32.5 years | 41.5 years |
| Median Income | $57,864 | $87,756 |
| Married Families | 34.0% | 44.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 4.2 | 3.9 |
Population Comparison: Hope mills vs Surprise
- The population in Surprise is higher at 154,198, compared to 17,824 in Hope mills.
- The median age in Surprise is higher at 41.5 years, compared to 32.5 years in Hope mills.
- Surprise has a higher median income of $87,756, compared to $57,864 in Hope mills.
- In Surprise, the percentage of married families is higher at 44.0%, compared to 34.0% in Hope mills.
- The poverty level is higher in Surprise at 13%, compared to 10% in Hope mills.
- The unemployment rate in Hope mills is higher at 4.2%, compared to 3.9% in Surprise.
Demographics
Demographics Hope mills vs Surprise provide insight into the diversity of the communities to compare.
| Demographic | Hope mills | Surprise |
|---|---|---|
| Black | 34 | 5 |
| White | 35 | 63 |
| Asian | 1 | 2 |
| Hispanic | 15 | 20 |
| Two or More Races | 13 | 9 |
| American Indian | 2 | 1 |
Demographics Comparison: Hope mills vs Surprise
- A higher percentage of Black residents are in Hope mills at 34% compared to 5% in Surprise.
- The percentage of White residents is higher in Surprise at 63% compared to 35% in Hope mills.
- In Surprise, the Asian population stands at 2%, greater than 1% in Hope mills.
- Surprise has a higher percentage of Hispanic residents at 20%, compared to 15% in Hope mills.
- More residents identify as two or more races in Hope mills at 13% compared to 9% in Surprise.
- A greater percentage of American Indian residents live in Hope mills at 2% compared to 1% in Surprise.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hope mills | Surprise |
|---|---|---|
| Mental Health Not Good | 17.6% | 17.0% |
| Physical Health Not Good | 11.9% | 10.1% |
| Depression | 25.9% | 20.1% |
| Smoking | 17.5% | 14.4% |
| Binge Drinking | 17.6% | 18.5% |
| Obesity | 38.5% | 30.1% |
| Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Hope mills vs Surprise
- More residents in Hope mills report poor mental health at 17.6% compared to 17.0% in Surprise.
- Depression is more prevalent in Hope mills at 25.9% compared to 20.1% in Surprise.
- Smoking is more prevalent in Hope mills at 17.5% compared to 14.4% in Surprise.
- More residents engage in binge drinking in Surprise at 18.5% compared to 17.6% in Hope mills.
- Obesity rates are higher in Hope mills at 38.5% compared to 30.1% in Surprise.
- Disability percentages are higher in Hope mills at 16.0% compared to 11.0% in Surprise.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hope mills | Surprise |
|---|---|---|
| No Schooling | 0.4% (68) | 0.5% (754) |
| High School Diploma | 14.7% (2,614) | 13.7% (21,050) |
| Less than High School | 6.9% (1,237) | 7.6% (11,792) |
| Bachelor's Degree and Higher | 13.7% (2,437) | 19.9% (30,735) |
Education Levels Comparison: Hope mills vs Surprise
- In Surprise, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Hope mills.
- A higher percentage of residents in Hope mills hold a high school diploma at 14.7% compared to 13.7% in Surprise.
- The percentage of residents with less than a high school education is higher in Surprise at 7.6%, compared to 6.9% in Hope mills.
- In Surprise, a larger share of residents have a bachelor's degree or higher at 19.9% 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.