Demographics details for Seaside, CA vs Sacred heart, MN
Population Overview
Compare main population characteristics in Seaside, CA vs Sacred heart, MN.
| Data | Seaside | Sacred heart |
|---|---|---|
| Population | 31,478 | 498 |
| Median Age | 34.0 years | 53.5 years |
| Median Income | $80,239 | $59,107 |
| Married Families | 36.0% | 41.0% |
| Poverty Level | 13% | 6% |
| Unemployment Rate | 4.1 | 4.1 |
Population Comparison: Seaside vs Sacred heart
- In Seaside, the population is higher at 31,478, compared to 498 in Sacred heart.
- The median age in Sacred heart is higher at 53.5 years, compared to 34.0 years in Seaside.
- Seaside has a higher median income of $80,239 compared to $59,107 in Sacred heart.
- In Sacred heart, the percentage of married families is higher at 41.0%, compared to 36.0% in Seaside.
- Seaside has a higher poverty level at 13% compared to 6% in Sacred heart.
- The unemployment rate is the same in both Seaside and Sacred heart at 4.1%.
Demographics
Demographics Seaside vs Sacred heart provide insight into the diversity of the communities to compare.
| Demographic | Seaside | Sacred heart |
|---|---|---|
| Black | 6 | Data is updating |
| White | 24 | 87 |
| Asian | 11 | Data is updating |
| Hispanic | 46 | 13 |
| Two or More Races | 13 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Seaside vs Sacred heart
- A higher percentage of Black residents are in Seaside at 6% compared to 0% in Sacred heart.
- The percentage of White residents is higher in Sacred heart at 87% compared to 24% in Seaside.
- The Asian population is larger in Seaside at 11% compared to 0% in Sacred heart.
- The Hispanic community is larger in Seaside at 46% compared to 13% in Sacred heart.
- More residents identify as two or more races in Seaside at 13% compared to 0% in Sacred heart.
- The percentage of American Indian residents is the same in both Seaside and Sacred heart at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seaside | Sacred heart |
|---|---|---|
| Mental Health Not Good | 16.5% | 15.0% |
| Physical Health Not Good | 12.1% | 9.6% |
| Depression | 18.8% | 23.3% |
| Smoking | 13.4% | 17.7% |
| Binge Drinking | 15.1% | 19.9% |
| Obesity | 27.5% | 37.6% |
| Disability Percentage | 11.0% | 25.0% |
Health Statistics Comparison: Seaside vs Sacred heart
- More residents in Seaside report poor mental health at 16.5% compared to 15.0% in Sacred heart.
- Higher depression rates are seen in Sacred heart at 23.3% versus 18.8% in Seaside.
- Sacred heart has a higher smoking rate at 17.7% compared to 13.4% in Seaside.
- More residents engage in binge drinking in Sacred heart at 19.9% compared to 15.1% in Seaside.
- Sacred heart has higher obesity rates at 37.6% compared to 27.5% in Seaside.
- There is a higher percentage of disabled individuals in Sacred heart at 25.0% compared to 11.0% in Seaside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Seaside | Sacred heart |
|---|---|---|
| No Schooling | 1.8% (565) | 0.0% (Data is updating) |
| High School Diploma | 12.2% (3,848) | 28.1% (140) |
| Less than High School | 22.0% (6,935) | 28.5% (142) |
| Bachelor's Degree and Higher | 16.5% (5,200) | 13.3% (66) |
Education Levels Comparison: Seaside vs Sacred heart
- A higher percentage of residents in Seaside have no formal schooling at 1.8% compared to 0.0% in Sacred heart.
- In Sacred heart, the rate of residents with high school diplomas is higher at 28.1% compared to 12.2% in Seaside.
- The percentage of residents with less than a high school education is higher in Sacred heart at 28.5%, compared to 22.0% in Seaside.
- A higher percentage of residents in Seaside hold a bachelor's degree or higher at 16.5% compared to 13.3% in Sacred heart.
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.