Demographics details for Custar, OH vs Santa clarita, CA
Population Overview
Compare main population characteristics in Custar, OH vs Santa clarita, CA.
Data | Custar | Santa clarita |
---|---|---|
Population | 178 | 221,345 |
Median Age | 39.0 years | 37.3 years |
Median Income | $52,500 | $116,186 |
Married Families | 57.0% | 43.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 4.0 | 5.7 |
Population Comparison: Custar vs Santa clarita
- The population in Santa clarita is higher at 221,345, compared to 178 in Custar.
- Residents in Custar have a higher median age of 39.0 years compared to 37.3 years in Santa clarita.
- Santa clarita has a higher median income of $116,186, compared to $52,500 in Custar.
- A higher percentage of married families is found in Custar at 57.0% compared to 43.0% in Santa clarita.
- Custar has a higher poverty level at 10% compared to 8% in Santa clarita.
- Santa clarita has a higher unemployment rate at 5.7% compared to 4.0% in Custar.
Demographics
Demographics Custar vs Santa clarita provide insight into the diversity of the communities to compare.
Demographic | Custar | Santa clarita |
---|---|---|
Black | Data is updating | 4 |
White | 72 | 30 |
Asian | Data is updating | 11 |
Hispanic | 14 | 37 |
Two or More Races | 14 | 17 |
American Indian | Data is updating | 1 |
Demographics Comparison: Custar vs Santa clarita
- In Santa clarita, the percentage of Black residents is higher at 4% compared to 0% in Custar.
- Custar has a higher percentage of White residents at 72% compared to 30% in Santa clarita.
- In Santa clarita, the Asian population stands at 11%, greater than 0% in Custar.
- Santa clarita has a higher percentage of Hispanic residents at 37%, compared to 14% in Custar.
- The percentage of residents identifying as two or more races is higher in Santa clarita at 17%, compared to 14% in Custar.
- In Santa clarita, the percentage of American Indian residents is higher at 1%, compared to 0% in Custar.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Custar | Santa clarita |
---|---|---|
Mental Health Not Good | 18.2% | 14.7% |
Physical Health Not Good | 12.2% | 9.6% |
Depression | 25.5% | 16.8% |
Smoking | 20.8% | 9.7% |
Binge Drinking | 18.1% | 17.1% |
Obesity | 42.7% | 26.2% |
Disability Percentage | 41.0% | 10.0% |
Health Statistics Comparison: Custar vs Santa clarita
- More residents in Custar report poor mental health at 18.2% compared to 14.7% in Santa clarita.
- Depression is more prevalent in Custar at 25.5% compared to 16.8% in Santa clarita.
- Smoking is more prevalent in Custar at 20.8% compared to 9.7% in Santa clarita.
- Binge drinking is more common in Custar at 18.1% compared to 17.1% in Santa clarita.
- Obesity rates are higher in Custar at 42.7% compared to 26.2% in Santa clarita.
- Disability percentages are higher in Custar at 41.0% compared to 10.0% in Santa clarita.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Custar | Santa clarita |
---|---|---|
No Schooling | 2.2% (4) | 1.4% (3,097) |
High School Diploma | 50.0% (89) | 10.7% (23,725) |
Less than High School | 25.8% (46) | 11.7% (25,882) |
Bachelor's Degree and Higher | 9.0% (16) | 26.1% (57,684) |
Education Levels Comparison: Custar vs Santa clarita
- A higher percentage of residents in Custar have no formal schooling at 2.2% compared to 1.4% in Santa clarita.
- A higher percentage of residents in Custar hold a high school diploma at 50.0% compared to 10.7% in Santa clarita.
- More residents in Custar have less than a high school education at 25.8% compared to 11.7% in Santa clarita.
- In Santa clarita, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 9.0% in Custar.
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.