Demographics details for Minot, ND vs Santa clara, CA
Population Overview
Compare main population characteristics in Minot, ND vs Santa clara, CA.
| Data | Minot | Santa clara |
|---|---|---|
| Population | 47,759 | 126,930 |
| Median Age | 33.0 years | 34.5 years |
| Median Income | $75,545 | $165,352 |
| Married Families | 39.0% | 45.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 2.7 | 3.9 |
Population Comparison: Minot vs Santa clara
- The population in Santa clara is higher at 126,930, compared to 47,759 in Minot.
- The median age in Santa clara is higher at 34.5 years, compared to 33.0 years in Minot.
- Santa clara has a higher median income of $165,352, compared to $75,545 in Minot.
- In Santa clara, the percentage of married families is higher at 45.0%, compared to 39.0% in Minot.
- Minot 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 2.7% in Minot.
Demographics
Demographics Minot vs Santa clara provide insight into the diversity of the communities to compare.
| Demographic | Minot | Santa clara |
|---|---|---|
| Black | 4 | 2 |
| White | 78 | 27 |
| Asian | 2 | 48 |
| Hispanic | 7 | 15 |
| Two or More Races | 7 | 8 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Minot vs Santa clara
- A higher percentage of Black residents are in Minot at 4% compared to 2% in Santa clara.
- Minot has a higher percentage of White residents at 78% compared to 27% in Santa clara.
- In Santa clara, the Asian population stands at 48%, greater than 2% in Minot.
- Santa clara has a higher percentage of Hispanic residents at 15%, compared to 7% in Minot.
- The percentage of residents identifying as two or more races is higher in Santa clara at 8%, compared to 7% in Minot.
- A greater percentage of American Indian residents live in Minot at 2% compared to 0% in Santa clara.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Minot | Santa clara |
|---|---|---|
| Mental Health Not Good | 13.3% | 12.0% |
| Physical Health Not Good | 9.3% | 7.4% |
| Depression | 18.8% | 14.2% |
| Smoking | 15.9% | 7.1% |
| Binge Drinking | 22.5% | 13.9% |
| Obesity | 37.8% | 18.6% |
| Disability Percentage | 11.0% | 7.0% |
Health Statistics Comparison: Minot vs Santa clara
- More residents in Minot report poor mental health at 13.3% compared to 12.0% in Santa clara.
- Depression is more prevalent in Minot at 18.8% compared to 14.2% in Santa clara.
- Smoking is more prevalent in Minot at 15.9% compared to 7.1% in Santa clara.
- Binge drinking is more common in Minot at 22.5% compared to 13.9% in Santa clara.
- Obesity rates are higher in Minot at 37.8% compared to 18.6% in Santa clara.
- Disability percentages are higher in Minot at 11.0% 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 | Minot | Santa clara |
|---|---|---|
| No Schooling | 1.3% (614) | 0.9% (1,134) |
| High School Diploma | 16.9% (8,050) | 7.3% (9,232) |
| Less than High School | 7.9% (3,779) | 7.1% (8,967) |
| Bachelor's Degree and Higher | 19.8% (9,464) | 46.5% (58,962) |
Education Levels Comparison: Minot vs Santa clara
- A higher percentage of residents in Minot have no formal schooling at 1.3% compared to 0.9% in Santa clara.
- A higher percentage of residents in Minot hold a high school diploma at 16.9% compared to 7.3% in Santa clara.
- More residents in Minot have less than a high school education at 7.9% 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 19.8% in Minot.
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.