Demographics details for Santa clara, CA vs Fairmont, NC
Population Overview
Compare main population characteristics in Santa clara, CA vs Fairmont, NC.
Data | Santa clara | Fairmont |
---|---|---|
Population | 126,930 | 2,188 |
Median Age | 34.5 years | 48.1 years |
Median Income | $165,352 | $31,731 |
Married Families | 45.0% | 25.0% |
Poverty Level | 8% | 22% |
Unemployment Rate | 3.9 | 5.0 |
Population Comparison: Santa clara vs Fairmont
- In Santa clara, the population is higher at 126,930, compared to 2,188 in Fairmont.
- The median age in Fairmont is higher at 48.1 years, compared to 34.5 years in Santa clara.
- Santa clara has a higher median income of $165,352 compared to $31,731 in Fairmont.
- A higher percentage of married families is found in Santa clara at 45.0% compared to 25.0% in Fairmont.
- The poverty level is higher in Fairmont at 22%, compared to 8% in Santa clara.
- Fairmont has a higher unemployment rate at 5.0% compared to 3.9% in Santa clara.
Demographics
Demographics Santa clara vs Fairmont provide insight into the diversity of the communities to compare.
Demographic | Santa clara | Fairmont |
---|---|---|
Black | 2 | 62 |
White | 27 | 14 |
Asian | 48 | Data is updating |
Hispanic | 15 | Data is updating |
Two or More Races | 8 | 1 |
American Indian | Data is updating | 23 |
Demographics Comparison: Santa clara vs Fairmont
- In Fairmont, the percentage of Black residents is higher at 62% compared to 2% in Santa clara.
- Santa clara has a higher percentage of White residents at 27% compared to 14% in Fairmont.
- The Asian population is larger in Santa clara at 48% compared to 0% in Fairmont.
- The Hispanic community is larger in Santa clara at 15% compared to 0% in Fairmont.
- More residents identify as two or more races in Santa clara at 8% compared to 1% in Fairmont.
- In Fairmont, the percentage of American Indian residents is higher at 23%, compared to 0% in Santa clara.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa clara | Fairmont |
---|---|---|
Mental Health Not Good | 12.0% | 19.7% |
Physical Health Not Good | 7.4% | 16.4% |
Depression | 14.2% | 22.6% |
Smoking | 7.1% | 26.0% |
Binge Drinking | 13.9% | 12.7% |
Obesity | 18.6% | 47.2% |
Disability Percentage | 7.0% | 27.0% |
Health Statistics Comparison: Santa clara vs Fairmont
- In Fairmont, a higher percentage report poor mental health at 19.7% compared to 12.0% in Santa clara.
- Higher depression rates are seen in Fairmont at 22.6% versus 14.2% in Santa clara.
- Fairmont has a higher smoking rate at 26.0% compared to 7.1% in Santa clara.
- Binge drinking is more common in Santa clara at 13.9% compared to 12.7% in Fairmont.
- Fairmont has higher obesity rates at 47.2% compared to 18.6% in Santa clara.
- There is a higher percentage of disabled individuals in Fairmont at 27.0% 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 | Santa clara | Fairmont |
---|---|---|
No Schooling | 0.9% (1,134) | 0.3% (7) |
High School Diploma | 7.3% (9,232) | 27.5% (602) |
Less than High School | 7.1% (8,967) | 12.9% (282) |
Bachelor's Degree and Higher | 46.5% (58,962) | 14.4% (316) |
Education Levels Comparison: Santa clara vs Fairmont
- A higher percentage of residents in Santa clara have no formal schooling at 0.9% compared to 0.3% in Fairmont.
- In Fairmont, the rate of residents with high school diplomas is higher at 27.5% compared to 7.3% in Santa clara.
- The percentage of residents with less than a high school education is higher in Fairmont at 12.9%, compared to 7.1% in Santa clara.
- A higher percentage of residents in Santa clara hold a bachelor's degree or higher at 46.5% compared to 14.4% in Fairmont.
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.