Demographics details for Santa clarita, CA vs Vineland, NJ
Population Overview
Compare main population characteristics in Santa clarita, CA vs Vineland, NJ.
| Data | Santa clarita | Vineland |
|---|---|---|
| Population | 221,345 | 60,491 |
| Median Age | 37.3 years | 38.6 years |
| Median Income | $116,186 | $63,468 |
| Married Families | 43.0% | 35.0% |
| Poverty Level | 8% | 11% |
| Unemployment Rate | 5.7 | 6.1 |
Population Comparison: Santa clarita vs Vineland
- In Santa clarita, the population is higher at 221,345, compared to 60,491 in Vineland.
- The median age in Vineland is higher at 38.6 years, compared to 37.3 years in Santa clarita.
- Santa clarita has a higher median income of $116,186 compared to $63,468 in Vineland.
- A higher percentage of married families is found in Santa clarita at 43.0% compared to 35.0% in Vineland.
- The poverty level is higher in Vineland at 11%, compared to 8% in Santa clarita.
- Vineland has a higher unemployment rate at 6.1% compared to 5.7% in Santa clarita.
Demographics
Demographics Santa clarita vs Vineland provide insight into the diversity of the communities to compare.
| Demographic | Santa clarita | Vineland |
|---|---|---|
| Black | 4 | 14 |
| White | 30 | 27 |
| Asian | 11 | 2 |
| Hispanic | 37 | 43 |
| Two or More Races | 17 | 13 |
| American Indian | 1 | 1 |
Demographics Comparison: Santa clarita vs Vineland
- In Vineland, the percentage of Black residents is higher at 14% compared to 4% in Santa clarita.
- Santa clarita has a higher percentage of White residents at 30% compared to 27% in Vineland.
- The Asian population is larger in Santa clarita at 11% compared to 2% in Vineland.
- Vineland has a higher percentage of Hispanic residents at 43%, compared to 37% in Santa clarita.
- More residents identify as two or more races in Santa clarita at 17% compared to 13% in Vineland.
- The percentage of American Indian residents is the same in both Santa clarita and Vineland at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa clarita | Vineland |
|---|---|---|
| Mental Health Not Good | 14.7% | 17.0% |
| Physical Health Not Good | 9.6% | 13.2% |
| Depression | 16.8% | 21.0% |
| Smoking | 9.7% | 18.1% |
| Binge Drinking | 17.1% | 17.1% |
| Obesity | 26.2% | 37.7% |
| Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Santa clarita vs Vineland
- In Vineland, a higher percentage report poor mental health at 17.0% compared to 14.7% in Santa clarita.
- Higher depression rates are seen in Vineland at 21.0% versus 16.8% in Santa clarita.
- Vineland has a higher smoking rate at 18.1% compared to 9.7% in Santa clarita.
- Binge drinking rates are similar in both Santa clarita and Vineland at 17.1%.
- Vineland has higher obesity rates at 37.7% compared to 26.2% in Santa clarita.
- There is a higher percentage of disabled individuals in Vineland at 16.0% 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 | Santa clarita | Vineland |
|---|---|---|
| No Schooling | 1.4% (3,097) | 2.7% (1,629) |
| High School Diploma | 10.7% (23,725) | 18.5% (11,167) |
| Less than High School | 11.7% (25,882) | 24.3% (14,709) |
| Bachelor's Degree and Higher | 26.1% (57,684) | 15.1% (9,106) |
Education Levels Comparison: Santa clarita vs Vineland
- In Vineland, a larger percentage of residents lack formal schooling at 2.7% compared to 1.4% in Santa clarita.
- In Vineland, the rate of residents with high school diplomas is higher at 18.5% compared to 10.7% in Santa clarita.
- The percentage of residents with less than a high school education is higher in Vineland at 24.3%, compared to 11.7% in Santa clarita.
- A higher percentage of residents in Santa clarita hold a bachelor's degree or higher at 26.1% compared to 15.1% in Vineland.
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.