Demographics details for New bern, NC vs Santa clara, CA
Population Overview
Compare main population characteristics in New bern, NC vs Santa clara, CA.
| Data | New bern | Santa clara |
|---|---|---|
| Population | 31,539 | 126,930 |
| Median Age | 40.4 years | 34.5 years |
| Median Income | $55,673 | $165,352 |
| Married Families | 38.0% | 45.0% |
| Poverty Level | 8% | 8% |
| Unemployment Rate | 4.0 | 3.9 |
Population Comparison: New bern vs Santa clara
- The population in Santa clara is higher at 126,930, compared to 31,539 in New bern.
- Residents in New bern have a higher median age of 40.4 years compared to 34.5 years in Santa clara.
- Santa clara has a higher median income of $165,352, compared to $55,673 in New bern.
- In Santa clara, the percentage of married families is higher at 45.0%, compared to 38.0% in New bern.
- The poverty level is identical in both New bern and Santa clara at 8%.
- The unemployment rate in New bern is higher at 4.0%, compared to 3.9% in Santa clara.
Demographics
Demographics New bern vs Santa clara provide insight into the diversity of the communities to compare.
| Demographic | New bern | Santa clara |
|---|---|---|
| Black | 31 | 2 |
| White | 52 | 27 |
| Asian | 5 | 48 |
| Hispanic | 6 | 15 |
| Two or More Races | 5 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: New bern vs Santa clara
- A higher percentage of Black residents are in New bern at 31% compared to 2% in Santa clara.
- New bern has a higher percentage of White residents at 52% compared to 27% in Santa clara.
- In Santa clara, the Asian population stands at 48%, greater than 5% in New bern.
- Santa clara has a higher percentage of Hispanic residents at 15%, compared to 6% in New bern.
- The percentage of residents identifying as two or more races is higher in Santa clara at 8%, compared to 5% in New bern.
- A greater percentage of American Indian residents live in New bern at 1% compared to 0% in Santa clara.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New bern | Santa clara |
|---|---|---|
| Mental Health Not Good | 17.0% | 12.0% |
| Physical Health Not Good | 12.4% | 7.4% |
| Depression | 23.1% | 14.2% |
| Smoking | 19.2% | 7.1% |
| Binge Drinking | 15.7% | 13.9% |
| Obesity | 39.6% | 18.6% |
| Disability Percentage | 14.0% | 7.0% |
Health Statistics Comparison: New bern vs Santa clara
- More residents in New bern report poor mental health at 17.0% compared to 12.0% in Santa clara.
- Depression is more prevalent in New bern at 23.1% compared to 14.2% in Santa clara.
- Smoking is more prevalent in New bern at 19.2% compared to 7.1% in Santa clara.
- Binge drinking is more common in New bern at 15.7% compared to 13.9% in Santa clara.
- Obesity rates are higher in New bern at 39.6% compared to 18.6% in Santa clara.
- Disability percentages are higher in New bern at 14.0% compared to 7.0% in Santa clara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New bern | Santa clara |
|---|---|---|
| No Schooling | 0.7% (226) | 0.9% (1,134) |
| High School Diploma | 14.6% (4,607) | 7.3% (9,232) |
| Less than High School | 10.3% (3,249) | 7.1% (8,967) |
| Bachelor's Degree and Higher | 20.0% (6,293) | 46.5% (58,962) |
Education Levels Comparison: New bern vs Santa clara
- In Santa clara, a larger percentage of residents lack formal schooling at 0.9% compared to 0.7% in New bern.
- A higher percentage of residents in New bern hold a high school diploma at 14.6% compared to 7.3% in Santa clara.
- More residents in New bern have less than a high school education at 10.3% compared to 7.1% in Santa clara.
- In Santa clara, a larger share of residents have a bachelor's degree or higher at 46.5% compared to 20.0% in New bern.
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.