Demographics details for Surprise, AZ vs New riegel, OH
Population Overview
Compare main population characteristics in Surprise, AZ vs New riegel, OH.
Data | Surprise | New riegel |
---|---|---|
Population | 154,198 | 282 |
Median Age | 41.5 years | 32.3 years |
Median Income | $87,756 | $57,500 |
Married Families | 44.0% | 46.0% |
Poverty Level | 13% | 6% |
Unemployment Rate | 3.9 | 2.5 |
Population Comparison: Surprise vs New riegel
- In Surprise, the population is higher at 154,198, compared to 282 in New riegel.
- Residents in Surprise have a higher median age of 41.5 years compared to 32.3 years in New riegel.
- Surprise has a higher median income of $87,756 compared to $57,500 in New riegel.
- In New riegel, the percentage of married families is higher at 46.0%, compared to 44.0% in Surprise.
- Surprise has a higher poverty level at 13% compared to 6% in New riegel.
- The unemployment rate in Surprise is higher at 3.9%, compared to 2.5% in New riegel.
Demographics
Demographics Surprise vs New riegel provide insight into the diversity of the communities to compare.
Demographic | Surprise | New riegel |
---|---|---|
Black | 5 | Data is updating |
White | 63 | 69 |
Asian | 2 | Data is updating |
Hispanic | 20 | 21 |
Two or More Races | 9 | 10 |
American Indian | 1 | Data is updating |
Demographics Comparison: Surprise vs New riegel
- A higher percentage of Black residents are in Surprise at 5% compared to 0% in New riegel.
- The percentage of White residents is higher in New riegel at 69% compared to 63% in Surprise.
- The Asian population is larger in Surprise at 2% compared to 0% in New riegel.
- New riegel has a higher percentage of Hispanic residents at 21%, compared to 20% in Surprise.
- The percentage of residents identifying as two or more races is higher in New riegel at 10%, compared to 9% in Surprise.
- A greater percentage of American Indian residents live in Surprise at 1% compared to 0% in New riegel.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Surprise | New riegel |
---|---|---|
Mental Health Not Good | 17.0% | 16.3% |
Physical Health Not Good | 10.1% | 10.6% |
Depression | 20.1% | 22.8% |
Smoking | 14.4% | 19.3% |
Binge Drinking | 18.5% | 19.4% |
Obesity | 30.1% | 39.6% |
Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Surprise vs New riegel
- More residents in Surprise report poor mental health at 17.0% compared to 16.3% in New riegel.
- Higher depression rates are seen in New riegel at 22.8% versus 20.1% in Surprise.
- New riegel has a higher smoking rate at 19.3% compared to 14.4% in Surprise.
- More residents engage in binge drinking in New riegel at 19.4% compared to 18.5% in Surprise.
- New riegel has higher obesity rates at 39.6% compared to 30.1% in Surprise.
- There is a higher percentage of disabled individuals in New riegel at 18.0% 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 | New riegel |
---|---|---|
No Schooling | 0.5% (754) | 0.0% (Data is updating) |
High School Diploma | 13.7% (21,050) | 27.7% (78) |
Less than High School | 7.6% (11,792) | 12.8% (36) |
Bachelor's Degree and Higher | 19.9% (30,735) | 11.3% (32) |
Education Levels Comparison: Surprise vs New riegel
- A higher percentage of residents in Surprise have no formal schooling at 0.5% compared to 0.0% in New riegel.
- In New riegel, the rate of residents with high school diplomas is higher at 27.7% compared to 13.7% in Surprise.
- The percentage of residents with less than a high school education is higher in New riegel at 12.8%, compared to 7.6% in Surprise.
- A higher percentage of residents in Surprise hold a bachelor's degree or higher at 19.9% compared to 11.3% in New riegel.
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.