Demographics details for Surprise, AZ vs Kenansville, NC
Population Overview
Compare main population characteristics in Surprise, AZ vs Kenansville, NC.
Data | Surprise | Kenansville |
---|---|---|
Population | 154,198 | 759 |
Median Age | 41.5 years | 48.4 years |
Median Income | $87,756 | $53,750 |
Married Families | 44.0% | 45.0% |
Poverty Level | 13% | 15% |
Unemployment Rate | 3.9 | 4.2 |
Population Comparison: Surprise vs Kenansville
- In Surprise, the population is higher at 154,198, compared to 759 in Kenansville.
- The median age in Kenansville is higher at 48.4 years, compared to 41.5 years in Surprise.
- Surprise has a higher median income of $87,756 compared to $53,750 in Kenansville.
- In Kenansville, the percentage of married families is higher at 45.0%, compared to 44.0% in Surprise.
- The poverty level is higher in Kenansville at 15%, compared to 13% in Surprise.
- Kenansville has a higher unemployment rate at 4.2% compared to 3.9% in Surprise.
Demographics
Demographics Surprise vs Kenansville provide insight into the diversity of the communities to compare.
Demographic | Surprise | Kenansville |
---|---|---|
Black | 5 | 20 |
White | 63 | 61 |
Asian | 2 | 7 |
Hispanic | 20 | 6 |
Two or More Races | 9 | 6 |
American Indian | 1 | Data is updating |
Demographics Comparison: Surprise vs Kenansville
- In Kenansville, the percentage of Black residents is higher at 20% compared to 5% in Surprise.
- Surprise has a higher percentage of White residents at 63% compared to 61% in Kenansville.
- In Kenansville, the Asian population stands at 7%, greater than 2% in Surprise.
- The Hispanic community is larger in Surprise at 20% compared to 6% in Kenansville.
- More residents identify as two or more races in Surprise at 9% compared to 6% in Kenansville.
- A greater percentage of American Indian residents live in Surprise at 1% compared to 0% in Kenansville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Surprise | Kenansville |
---|---|---|
Mental Health Not Good | 17.0% | 18.4% |
Physical Health Not Good | 10.1% | 13.4% |
Depression | 20.1% | 24.3% |
Smoking | 14.4% | 21.6% |
Binge Drinking | 18.5% | 15.6% |
Obesity | 30.1% | 44.0% |
Disability Percentage | 11.0% | 26.0% |
Health Statistics Comparison: Surprise vs Kenansville
- In Kenansville, a higher percentage report poor mental health at 18.4% compared to 17.0% in Surprise.
- Higher depression rates are seen in Kenansville at 24.3% versus 20.1% in Surprise.
- Kenansville has a higher smoking rate at 21.6% compared to 14.4% in Surprise.
- Binge drinking is more common in Surprise at 18.5% compared to 15.6% in Kenansville.
- Kenansville has higher obesity rates at 44.0% compared to 30.1% in Surprise.
- There is a higher percentage of disabled individuals in Kenansville at 26.0% 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 | Surprise | Kenansville |
---|---|---|
No Schooling | 0.5% (754) | 1.6% (12) |
High School Diploma | 13.7% (21,050) | 24.0% (182) |
Less than High School | 7.6% (11,792) | 13.8% (105) |
Bachelor's Degree and Higher | 19.9% (30,735) | 22.5% (171) |
Education Levels Comparison: Surprise vs Kenansville
- In Kenansville, a larger percentage of residents lack formal schooling at 1.6% compared to 0.5% in Surprise.
- In Kenansville, the rate of residents with high school diplomas is higher at 24.0% compared to 13.7% in Surprise.
- The percentage of residents with less than a high school education is higher in Kenansville at 13.8%, compared to 7.6% in Surprise.
- In Kenansville, a larger share of residents have a bachelor's degree or higher at 22.5% compared to 19.9% in Surprise.
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.