Demographics details for Sabin, MN vs Santa monica, CA
Population Overview
Compare main population characteristics in Sabin, MN vs Santa monica, CA.
| Data | Sabin | Santa monica |
|---|---|---|
| Population | 610 | 89,947 |
| Median Age | 33.3 years | 42.1 years |
| Median Income | $118,750 | $106,797 |
| Married Families | 50.0% | 35.0% |
| Poverty Level | Data is updating | 11% |
| Unemployment Rate | 2.5 | 5.8 |
Population Comparison: Sabin vs Santa monica
- The population in Santa monica is higher at 89,947, compared to 610 in Sabin.
- The median age in Santa monica is higher at 42.1 years, compared to 33.3 years in Sabin.
- Sabin has a higher median income of $118,750 compared to $106,797 in Santa monica.
- A higher percentage of married families is found in Sabin at 50.0% compared to 35.0% in Santa monica.
- The poverty level is higher in Santa monica at 11%, compared to 0% in Sabin.
- Santa monica has a higher unemployment rate at 5.8% compared to 2.5% in Sabin.
Demographics
Demographics Sabin vs Santa monica provide insight into the diversity of the communities to compare.
| Demographic | Sabin | Santa monica |
|---|---|---|
| Black | Data is updating | 5 |
| White | 82 | 55 |
| Asian | 1 | 9 |
| Hispanic | 3 | 18 |
| Two or More Races | 8 | 12 |
| American Indian | 6 | 1 |
Demographics Comparison: Sabin vs Santa monica
- In Santa monica, the percentage of Black residents is higher at 5% compared to 0% in Sabin.
- Sabin has a higher percentage of White residents at 82% compared to 55% in Santa monica.
- In Santa monica, the Asian population stands at 9%, greater than 1% in Sabin.
- Santa monica has a higher percentage of Hispanic residents at 18%, compared to 3% in Sabin.
- The percentage of residents identifying as two or more races is higher in Santa monica at 12%, compared to 8% in Sabin.
- A greater percentage of American Indian residents live in Sabin at 6% compared to 1% in Santa monica.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sabin | Santa monica |
|---|---|---|
| Mental Health Not Good | 14.2% | 13.5% |
| Physical Health Not Good | 8.4% | 8.1% |
| Depression | 25.3% | 16.6% |
| Smoking | 15.3% | 7.5% |
| Binge Drinking | 20.6% | 17.2% |
| Obesity | 33.7% | 24.1% |
| Disability Percentage | 5.0% | 9.0% |
Health Statistics Comparison: Sabin vs Santa monica
- More residents in Sabin report poor mental health at 14.2% compared to 13.5% in Santa monica.
- Depression is more prevalent in Sabin at 25.3% compared to 16.6% in Santa monica.
- Smoking is more prevalent in Sabin at 15.3% compared to 7.5% in Santa monica.
- Binge drinking is more common in Sabin at 20.6% compared to 17.2% in Santa monica.
- Obesity rates are higher in Sabin at 33.7% compared to 24.1% in Santa monica.
- There is a higher percentage of disabled individuals in Santa monica at 9.0% compared to 5.0% in Sabin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sabin | Santa monica |
|---|---|---|
| No Schooling | 0.2% (1) | 1.1% (950) |
| High School Diploma | 14.1% (86) | 6.2% (5,554) |
| Less than High School | 3.6% (22) | 7.9% (7,118) |
| Bachelor's Degree and Higher | 17.9% (109) | 55.4% (49,805) |
Education Levels Comparison: Sabin vs Santa monica
- In Santa monica, a larger percentage of residents lack formal schooling at 1.1% compared to 0.2% in Sabin.
- A higher percentage of residents in Sabin hold a high school diploma at 14.1% compared to 6.2% in Santa monica.
- The percentage of residents with less than a high school education is higher in Santa monica at 7.9%, compared to 3.6% in Sabin.
- In Santa monica, a larger share of residents have a bachelor's degree or higher at 55.4% compared to 17.9% in Sabin.
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.