Demographics details for Kingston, RI vs Santa clara, CA
Population Overview
Compare main population characteristics in Kingston, RI vs Santa clara, CA.
| Data | Kingston | Santa clara |
|---|---|---|
| Population | 6,560 | 126,930 |
| Median Age | 19.6 years | 34.5 years |
| Median Income | $108,056 | $165,352 |
| Married Families | 13.0% | 45.0% |
| Poverty Level | 11% | 8% |
| Unemployment Rate | 2.6 | 3.9 |
Population Comparison: Kingston vs Santa clara
- The population in Santa clara is higher at 126,930, compared to 6,560 in Kingston.
- The median age in Santa clara is higher at 34.5 years, compared to 19.6 years in Kingston.
- Santa clara has a higher median income of $165,352, compared to $108,056 in Kingston.
- In Santa clara, the percentage of married families is higher at 45.0%, compared to 13.0% in Kingston.
- Kingston has a higher poverty level at 11% compared to 8% in Santa clara.
- Santa clara has a higher unemployment rate at 3.9% compared to 2.6% in Kingston.
Demographics
Demographics Kingston vs Santa clara provide insight into the diversity of the communities to compare.
| Demographic | Kingston | Santa clara |
|---|---|---|
| Black | 5 | 2 |
| White | 80 | 27 |
| Asian | 2 | 48 |
| Hispanic | 6 | 15 |
| Two or More Races | 6 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kingston vs Santa clara
- A higher percentage of Black residents are in Kingston at 5% compared to 2% in Santa clara.
- Kingston has a higher percentage of White residents at 80% compared to 27% in Santa clara.
- In Santa clara, the Asian population stands at 48%, greater than 2% in Kingston.
- Santa clara has a higher percentage of Hispanic residents at 15%, compared to 6% in Kingston.
- The percentage of residents identifying as two or more races is higher in Santa clara at 8%, compared to 6% in Kingston.
- A greater percentage of American Indian residents live in Kingston at 1% compared to 0% in Santa clara.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingston | Santa clara |
|---|---|---|
| Mental Health Not Good | 14.9% | 12.0% |
| Physical Health Not Good | 8.7% | 7.4% |
| Depression | 24.9% | 14.2% |
| Smoking | 11.4% | 7.1% |
| Binge Drinking | 19.1% | 13.9% |
| Obesity | 25.9% | 18.6% |
| Disability Percentage | 6.0% | 7.0% |
Health Statistics Comparison: Kingston vs Santa clara
- More residents in Kingston report poor mental health at 14.9% compared to 12.0% in Santa clara.
- Depression is more prevalent in Kingston at 24.9% compared to 14.2% in Santa clara.
- Smoking is more prevalent in Kingston at 11.4% compared to 7.1% in Santa clara.
- Binge drinking is more common in Kingston at 19.1% compared to 13.9% in Santa clara.
- Obesity rates are higher in Kingston at 25.9% compared to 18.6% in Santa clara.
- There is a higher percentage of disabled individuals in Santa clara at 7.0% compared to 6.0% in Kingston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingston | Santa clara |
|---|---|---|
| No Schooling | 0.0% (3) | 0.9% (1,134) |
| High School Diploma | 1.1% (71) | 7.3% (9,232) |
| Less than High School | 0.1% (6) | 7.1% (8,967) |
| Bachelor's Degree and Higher | 12.8% (839) | 46.5% (58,962) |
Education Levels Comparison: Kingston vs Santa clara
- In Santa clara, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Kingston.
- In Santa clara, the rate of residents with high school diplomas is higher at 7.3% compared to 1.1% in Kingston.
- The percentage of residents with less than a high school education is higher in Santa clara at 7.1%, compared to 0.1% in Kingston.
- In Santa clara, a larger share of residents have a bachelor's degree or higher at 46.5% compared to 12.8% in Kingston.
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.