Demographics details for Surprise, AZ vs League city, TX
Population Overview
Compare main population characteristics in Surprise, AZ vs League city, TX.
Data | Surprise | League city |
---|---|---|
Population | 154,198 | 115,418 |
Median Age | 41.5 years | 37.1 years |
Median Income | $87,756 | $117,316 |
Married Families | 44.0% | 48.0% |
Poverty Level | 13% | 6% |
Unemployment Rate | 3.9 | 3.8 |
Population Comparison: Surprise vs League city
- In Surprise, the population is higher at 154,198, compared to 115,418 in League city.
- Residents in Surprise have a higher median age of 41.5 years compared to 37.1 years in League city.
- League city has a higher median income of $117,316, compared to $87,756 in Surprise.
- In League city, the percentage of married families is higher at 48.0%, compared to 44.0% in Surprise.
- Surprise has a higher poverty level at 13% compared to 6% in League city.
- The unemployment rate in Surprise is higher at 3.9%, compared to 3.8% in League city.
Demographics
Demographics Surprise vs League city provide insight into the diversity of the communities to compare.
Demographic | Surprise | League city |
---|---|---|
Black | 5 | 8 |
White | 63 | 57 |
Asian | 2 | 6 |
Hispanic | 20 | 19 |
Two or More Races | 9 | 10 |
American Indian | 1 | Data is updating |
Demographics Comparison: Surprise vs League city
- In League city, the percentage of Black residents is higher at 8% compared to 5% in Surprise.
- Surprise has a higher percentage of White residents at 63% compared to 57% in League city.
- In League city, the Asian population stands at 6%, greater than 2% in Surprise.
- The Hispanic community is larger in Surprise at 20% compared to 19% in League city.
- The percentage of residents identifying as two or more races is higher in League city at 10%, compared to 9% in Surprise.
- A greater percentage of American Indian residents live in Surprise at 1% compared to 0% in League city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Surprise | League city |
---|---|---|
Mental Health Not Good | 17.0% | 14.1% |
Physical Health Not Good | 10.1% | 8.6% |
Depression | 20.1% | 21.0% |
Smoking | 14.4% | 11.2% |
Binge Drinking | 18.5% | 19.5% |
Obesity | 30.1% | 30.4% |
Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Surprise vs League city
- More residents in Surprise report poor mental health at 17.0% compared to 14.1% in League city.
- Higher depression rates are seen in League city at 21.0% versus 20.1% in Surprise.
- Smoking is more prevalent in Surprise at 14.4% compared to 11.2% in League city.
- More residents engage in binge drinking in League city at 19.5% compared to 18.5% in Surprise.
- League city has higher obesity rates at 30.4% compared to 30.1% in Surprise.
- Disability percentages are higher in Surprise at 11.0% compared to 9.0% in League city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Surprise | League city |
---|---|---|
No Schooling | 0.5% (754) | 0.5% (597) |
High School Diploma | 13.7% (21,050) | 8.9% (10,242) |
Less than High School | 7.6% (11,792) | 4.9% (5,692) |
Bachelor's Degree and Higher | 19.9% (30,735) | 31.5% (36,360) |
Education Levels Comparison: Surprise vs League city
- The percentage of residents with no formal schooling is the same in both Surprise and League city at 0.5%.
- A higher percentage of residents in Surprise hold a high school diploma at 13.7% compared to 8.9% in League city.
- More residents in Surprise have less than a high school education at 7.6% compared to 4.9% in League city.
- In League city, a larger share of residents have a bachelor's degree or higher at 31.5% 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.