Demographics details for Santa barbara, CA vs Norman, OK
Population Overview
Compare main population characteristics in Santa barbara, CA vs Norman, OK.
| Data | Santa barbara | Norman |
|---|---|---|
| Population | 87,533 | 129,627 |
| Median Age | 39.6 years | 31.0 years |
| Median Income | $98,346 | $62,849 |
| Married Families | 36.0% | 35.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Santa barbara vs Norman
- The population in Norman is higher at 129,627, compared to 87,533 in Santa barbara.
- Residents in Santa barbara have a higher median age of 39.6 years compared to 31.0 years in Norman.
- Santa barbara has a higher median income of $98,346 compared to $62,849 in Norman.
- A higher percentage of married families is found in Santa barbara at 36.0% compared to 35.0% in Norman.
- Santa barbara has a higher poverty level at 14% compared to 12% in Norman.
- Norman has a higher unemployment rate at 3.5% compared to 3.4% in Santa barbara.
Demographics
Demographics Santa barbara vs Norman provide insight into the diversity of the communities to compare.
| Demographic | Santa barbara | Norman |
|---|---|---|
| Black | 1 | 5 |
| White | 44 | 67 |
| Asian | 4 | 5 |
| Hispanic | 37 | 8 |
| Two or More Races | 13 | 11 |
| American Indian | 1 | 4 |
Demographics Comparison: Santa barbara vs Norman
- In Norman, the percentage of Black residents is higher at 5% compared to 1% in Santa barbara.
- The percentage of White residents is higher in Norman at 67% compared to 44% in Santa barbara.
- In Norman, the Asian population stands at 5%, greater than 4% in Santa barbara.
- The Hispanic community is larger in Santa barbara at 37% compared to 8% in Norman.
- More residents identify as two or more races in Santa barbara at 13% compared to 11% in Norman.
- In Norman, the percentage of American Indian residents is higher at 4%, compared to 1% in Santa barbara.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa barbara | Norman |
|---|---|---|
| Mental Health Not Good | 14.8% | 17.0% |
| Physical Health Not Good | 10.1% | 11.2% |
| Depression | 19.2% | 25.6% |
| Smoking | 10.8% | 16.7% |
| Binge Drinking | 16.9% | 15.5% |
| Obesity | 28.5% | 34.9% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Santa barbara vs Norman
- In Norman, a higher percentage report poor mental health at 17.0% compared to 14.8% in Santa barbara.
- Higher depression rates are seen in Norman at 25.6% versus 19.2% in Santa barbara.
- Norman has a higher smoking rate at 16.7% compared to 10.8% in Santa barbara.
- Binge drinking is more common in Santa barbara at 16.9% compared to 15.5% in Norman.
- Norman has higher obesity rates at 34.9% compared to 28.5% in Santa barbara.
- There is a higher percentage of disabled individuals in Norman at 13.0% compared to 10.0% in Santa barbara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa barbara | Norman |
|---|---|---|
| No Schooling | 1.5% (1,334) | 0.3% (396) |
| High School Diploma | 7.5% (6,587) | 9.4% (12,171) |
| Less than High School | 16.0% (13,982) | 6.3% (8,174) |
| Bachelor's Degree and Higher | 36.6% (32,079) | 26.3% (34,072) |
Education Levels Comparison: Santa barbara vs Norman
- A higher percentage of residents in Santa barbara have no formal schooling at 1.5% compared to 0.3% in Norman.
- In Norman, the rate of residents with high school diplomas is higher at 9.4% compared to 7.5% in Santa barbara.
- More residents in Santa barbara have less than a high school education at 16.0% compared to 6.3% in Norman.
- A higher percentage of residents in Santa barbara hold a bachelor's degree or higher at 36.6% compared to 26.3% in Norman.
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.