Demographics details for Boerne, TX vs Santa clarita, CA
Population Overview
Compare main population characteristics in Boerne, TX vs Santa clarita, CA.
Data | Boerne | Santa clarita |
---|---|---|
Population | 20,707 | 221,345 |
Median Age | 38.3 years | 37.3 years |
Median Income | $82,982 | $116,186 |
Married Families | 38.0% | 43.0% |
Poverty Level | 5% | 8% |
Unemployment Rate | 3.5 | 5.7 |
Population Comparison: Boerne vs Santa clarita
- The population in Santa clarita is higher at 221,345, compared to 20,707 in Boerne.
- Residents in Boerne have a higher median age of 38.3 years compared to 37.3 years in Santa clarita.
- Santa clarita has a higher median income of $116,186, compared to $82,982 in Boerne.
- In Santa clarita, the percentage of married families is higher at 43.0%, compared to 38.0% in Boerne.
- The poverty level is higher in Santa clarita at 8%, compared to 5% in Boerne.
- Santa clarita has a higher unemployment rate at 5.7% compared to 3.5% in Boerne.
Demographics
Demographics Boerne vs Santa clarita provide insight into the diversity of the communities to compare.
Demographic | Boerne | Santa clarita |
---|---|---|
Black | 1 | 4 |
White | 60 | 30 |
Asian | 1 | 11 |
Hispanic | 27 | 37 |
Two or More Races | 11 | 17 |
American Indian | Data is updating | 1 |
Demographics Comparison: Boerne vs Santa clarita
- In Santa clarita, the percentage of Black residents is higher at 4% compared to 1% in Boerne.
- Boerne has a higher percentage of White residents at 60% compared to 30% in Santa clarita.
- In Santa clarita, the Asian population stands at 11%, greater than 1% in Boerne.
- Santa clarita has a higher percentage of Hispanic residents at 37%, compared to 27% in Boerne.
- The percentage of residents identifying as two or more races is higher in Santa clarita at 17%, compared to 11% in Boerne.
- In Santa clarita, the percentage of American Indian residents is higher at 1%, compared to 0% in Boerne.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Boerne | Santa clarita |
---|---|---|
Mental Health Not Good | 15.8% | 14.7% |
Physical Health Not Good | 9.9% | 9.6% |
Depression | 22.7% | 16.8% |
Smoking | 13.3% | 9.7% |
Binge Drinking | 19.9% | 17.1% |
Obesity | 33.4% | 26.2% |
Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Boerne vs Santa clarita
- More residents in Boerne report poor mental health at 15.8% compared to 14.7% in Santa clarita.
- Depression is more prevalent in Boerne at 22.7% compared to 16.8% in Santa clarita.
- Smoking is more prevalent in Boerne at 13.3% compared to 9.7% in Santa clarita.
- Binge drinking is more common in Boerne at 19.9% compared to 17.1% in Santa clarita.
- Obesity rates are higher in Boerne at 33.4% compared to 26.2% in Santa clarita.
- Disability percentages are the same in both Boerne and Santa clarita at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Boerne | Santa clarita |
---|---|---|
No Schooling | 1.4% (284) | 1.4% (3,097) |
High School Diploma | 6.7% (1,397) | 10.7% (23,725) |
Less than High School | 13.6% (2,810) | 11.7% (25,882) |
Bachelor's Degree and Higher | 26.9% (5,561) | 26.1% (57,684) |
Education Levels Comparison: Boerne vs Santa clarita
- The percentage of residents with no formal schooling is the same in both Boerne and Santa clarita at 1.4%.
- In Santa clarita, the rate of residents with high school diplomas is higher at 10.7% compared to 6.7% in Boerne.
- More residents in Boerne have less than a high school education at 13.6% compared to 11.7% in Santa clarita.
- A higher percentage of residents in Boerne hold a bachelor's degree or higher at 26.9% compared to 26.1% in Santa clarita.
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.