Demographics details for Chino valley, AZ vs League city, TX
Population Overview
Compare main population characteristics in Chino valley, AZ vs League city, TX.
Data | Chino valley | League city |
---|---|---|
Population | 13,669 | 115,418 |
Median Age | 51.5 years | 37.1 years |
Median Income | $55,682 | $117,316 |
Married Families | 44.0% | 48.0% |
Poverty Level | 10% | 6% |
Unemployment Rate | 3.5 | 3.8 |
Population Comparison: Chino valley vs League city
- The population in League city is higher at 115,418, compared to 13,669 in Chino valley.
- Residents in Chino valley have a higher median age of 51.5 years compared to 37.1 years in League city.
- League city has a higher median income of $117,316, compared to $55,682 in Chino valley.
- In League city, the percentage of married families is higher at 48.0%, compared to 44.0% in Chino valley.
- Chino valley has a higher poverty level at 10% compared to 6% in League city.
- League city has a higher unemployment rate at 3.8% compared to 3.5% in Chino valley.
Demographics
Demographics Chino valley vs League city provide insight into the diversity of the communities to compare.
Demographic | Chino valley | League city |
---|---|---|
Black | Data is updating | 8 |
White | 74 | 57 |
Asian | 1 | 6 |
Hispanic | 16 | 19 |
Two or More Races | 8 | 10 |
American Indian | 1 | Data is updating |
Demographics Comparison: Chino valley vs League city
- In League city, the percentage of Black residents is higher at 8% compared to 0% in Chino valley.
- Chino valley has a higher percentage of White residents at 74% compared to 57% in League city.
- In League city, the Asian population stands at 6%, greater than 1% in Chino valley.
- League city has a higher percentage of Hispanic residents at 19%, compared to 16% in Chino valley.
- The percentage of residents identifying as two or more races is higher in League city at 10%, compared to 8% in Chino valley.
- A greater percentage of American Indian residents live in Chino valley at 1% compared to 0% in League city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Chino valley | League city |
---|---|---|
Mental Health Not Good | 18.7% | 14.1% |
Physical Health Not Good | 12.1% | 8.6% |
Depression | 23.0% | 21.0% |
Smoking | 18.8% | 11.2% |
Binge Drinking | 16.9% | 19.5% |
Obesity | 28.1% | 30.4% |
Disability Percentage | 13.0% | 9.0% |
Health Statistics Comparison: Chino valley vs League city
- More residents in Chino valley report poor mental health at 18.7% compared to 14.1% in League city.
- Depression is more prevalent in Chino valley at 23.0% compared to 21.0% in League city.
- Smoking is more prevalent in Chino valley at 18.8% compared to 11.2% in League city.
- More residents engage in binge drinking in League city at 19.5% compared to 16.9% in Chino valley.
- League city has higher obesity rates at 30.4% compared to 28.1% in Chino valley.
- Disability percentages are higher in Chino valley at 13.0% 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 | Chino valley | League city |
---|---|---|
No Schooling | 0.3% (46) | 0.5% (597) |
High School Diploma | 15.6% (2,127) | 8.9% (10,242) |
Less than High School | 12.3% (1,681) | 4.9% (5,692) |
Bachelor's Degree and Higher | 15.0% (2,048) | 31.5% (36,360) |
Education Levels Comparison: Chino valley vs League city
- In League city, a larger percentage of residents lack formal schooling at 0.5% compared to 0.3% in Chino valley.
- A higher percentage of residents in Chino valley hold a high school diploma at 15.6% compared to 8.9% in League city.
- More residents in Chino valley have less than a high school education at 12.3% 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 15.0% in Chino valley.
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.