Demographics details for Sanford, NC vs Santa clara, CA
Population Overview
Compare main population characteristics in Sanford, NC vs Santa clara, CA.
| Data | Sanford | Santa clara |
|---|---|---|
| Population | 31,224 | 126,930 |
| Median Age | 34.6 years | 34.5 years |
| Median Income | $52,951 | $165,352 |
| Married Families | 32.0% | 45.0% |
| Poverty Level | 13% | 8% |
| Unemployment Rate | 4.8 | 3.9 |
Population Comparison: Sanford vs Santa clara
- The population in Santa clara is higher at 126,930, compared to 31,224 in Sanford.
- Residents in Sanford have a higher median age of 34.6 years compared to 34.5 years in Santa clara.
- Santa clara has a higher median income of $165,352, compared to $52,951 in Sanford.
- In Santa clara, the percentage of married families is higher at 45.0%, compared to 32.0% in Sanford.
- Sanford has a higher poverty level at 13% compared to 8% in Santa clara.
- The unemployment rate in Sanford is higher at 4.8%, compared to 3.9% in Santa clara.
Demographics
Demographics Sanford vs Santa clara provide insight into the diversity of the communities to compare.
| Demographic | Sanford | Santa clara |
|---|---|---|
| Black | 25 | 2 |
| White | 34 | 27 |
| Asian | 2 | 48 |
| Hispanic | 29 | 15 |
| Two or More Races | 10 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sanford vs Santa clara
- A higher percentage of Black residents are in Sanford at 25% compared to 2% in Santa clara.
- Sanford has a higher percentage of White residents at 34% compared to 27% in Santa clara.
- In Santa clara, the Asian population stands at 48%, greater than 2% in Sanford.
- The Hispanic community is larger in Sanford at 29% compared to 15% in Santa clara.
- More residents identify as two or more races in Sanford at 10% compared to 8% in Santa clara.
- The percentage of American Indian residents is the same in both Sanford and Santa clara at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sanford | Santa clara |
|---|---|---|
| Mental Health Not Good | 17.4% | 12.0% |
| Physical Health Not Good | 13.2% | 7.4% |
| Depression | 23.2% | 14.2% |
| Smoking | 18.8% | 7.1% |
| Binge Drinking | 15.3% | 13.9% |
| Obesity | 41.1% | 18.6% |
| Disability Percentage | 14.0% | 7.0% |
Health Statistics Comparison: Sanford vs Santa clara
- More residents in Sanford report poor mental health at 17.4% compared to 12.0% in Santa clara.
- Depression is more prevalent in Sanford at 23.2% compared to 14.2% in Santa clara.
- Smoking is more prevalent in Sanford at 18.8% compared to 7.1% in Santa clara.
- Binge drinking is more common in Sanford at 15.3% compared to 13.9% in Santa clara.
- Obesity rates are higher in Sanford at 41.1% compared to 18.6% in Santa clara.
- Disability percentages are higher in Sanford 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 | Sanford | Santa clara |
|---|---|---|
| No Schooling | 1.4% (443) | 0.9% (1,134) |
| High School Diploma | 12.5% (3,909) | 7.3% (9,232) |
| Less than High School | 22.6% (7,052) | 7.1% (8,967) |
| Bachelor's Degree and Higher | 12.9% (4,025) | 46.5% (58,962) |
Education Levels Comparison: Sanford vs Santa clara
- A higher percentage of residents in Sanford have no formal schooling at 1.4% compared to 0.9% in Santa clara.
- A higher percentage of residents in Sanford hold a high school diploma at 12.5% compared to 7.3% in Santa clara.
- More residents in Sanford have less than a high school education at 22.6% 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 12.9% in Sanford.
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.