Demographics details for Loretto, KY vs Santa clara, CA
Population Overview
Compare main population characteristics in Loretto, KY vs Santa clara, CA.
Data | Loretto | Santa clara |
---|---|---|
Population | 716 | 126,930 |
Median Age | 44.8 years | 34.5 years |
Median Income | $49,688 | $165,352 |
Married Families | 38.0% | 45.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 3.5 | 3.9 |
Population Comparison: Loretto vs Santa clara
- The population in Santa clara is higher at 126,930, compared to 716 in Loretto.
- Residents in Loretto have a higher median age of 44.8 years compared to 34.5 years in Santa clara.
- Santa clara has a higher median income of $165,352, compared to $49,688 in Loretto.
- In Santa clara, the percentage of married families is higher at 45.0%, compared to 38.0% in Loretto.
- Loretto has a higher poverty level at 10% compared to 8% in Santa clara.
- Santa clara has a higher unemployment rate at 3.9% compared to 3.5% in Loretto.
Demographics
Demographics Loretto vs Santa clara provide insight into the diversity of the communities to compare.
Demographic | Loretto | Santa clara |
---|---|---|
Black | 1 | 2 |
White | 99 | 27 |
Asian | Data is updating | 48 |
Hispanic | Data is updating | 15 |
Two or More Races | Data is updating | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Loretto vs Santa clara
- In Santa clara, the percentage of Black residents is higher at 2% compared to 1% in Loretto.
- Loretto has a higher percentage of White residents at 99% compared to 27% in Santa clara.
- In Santa clara, the Asian population stands at 48%, greater than 0% in Loretto.
- Santa clara has a higher percentage of Hispanic residents at 15%, compared to 0% in Loretto.
- The percentage of residents identifying as two or more races is higher in Santa clara at 8%, compared to 0% in Loretto.
- The percentage of American Indian residents is the same in both Loretto and Santa clara at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Loretto | Santa clara |
---|---|---|
Mental Health Not Good | 19.9% | 12.0% |
Physical Health Not Good | 14.6% | 7.4% |
Depression | 28.6% | 14.2% |
Smoking | 24.3% | 7.1% |
Binge Drinking | 15.4% | 13.9% |
Obesity | 39.3% | 18.6% |
Disability Percentage | 15.0% | 7.0% |
Health Statistics Comparison: Loretto vs Santa clara
- More residents in Loretto report poor mental health at 19.9% compared to 12.0% in Santa clara.
- Depression is more prevalent in Loretto at 28.6% compared to 14.2% in Santa clara.
- Smoking is more prevalent in Loretto at 24.3% compared to 7.1% in Santa clara.
- Binge drinking is more common in Loretto at 15.4% compared to 13.9% in Santa clara.
- Obesity rates are higher in Loretto at 39.3% compared to 18.6% in Santa clara.
- Disability percentages are higher in Loretto at 15.0% 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 | Loretto | Santa clara |
---|---|---|
No Schooling | 3.4% (24) | 0.9% (1,134) |
High School Diploma | 27.2% (195) | 7.3% (9,232) |
Less than High School | 23.2% (166) | 7.1% (8,967) |
Bachelor's Degree and Higher | 5.4% (39) | 46.5% (58,962) |
Education Levels Comparison: Loretto vs Santa clara
- A higher percentage of residents in Loretto have no formal schooling at 3.4% compared to 0.9% in Santa clara.
- A higher percentage of residents in Loretto hold a high school diploma at 27.2% compared to 7.3% in Santa clara.
- More residents in Loretto have less than a high school education at 23.2% 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 5.4% in Loretto.
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.