Demographics details for Seaside, CA vs Detroit lakes, MN
Population Overview
Compare main population characteristics in Seaside, CA vs Detroit lakes, MN.
| Data | Seaside | Detroit lakes |
|---|---|---|
| Population | 31,478 | 10,011 |
| Median Age | 34.0 years | 40.2 years |
| Median Income | $80,239 | $60,317 |
| Married Families | 36.0% | 36.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Seaside vs Detroit lakes
- In Seaside, the population is higher at 31,478, compared to 10,011 in Detroit lakes.
- The median age in Detroit lakes is higher at 40.2 years, compared to 34.0 years in Seaside.
- Seaside has a higher median income of $80,239 compared to $60,317 in Detroit lakes.
- The percentage of married families is the same in both Seaside and Detroit lakes at 36.0%.
- Seaside has a higher poverty level at 13% compared to 10% in Detroit lakes.
- The unemployment rate in Seaside is higher at 4.1%, compared to 3.2% in Detroit lakes.
Demographics
Demographics Seaside vs Detroit lakes provide insight into the diversity of the communities to compare.
| Demographic | Seaside | Detroit lakes |
|---|---|---|
| Black | 6 | 1 |
| White | 24 | 92 |
| Asian | 11 | 1 |
| Hispanic | 46 | Data is updating |
| Two or More Races | 13 | 4 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Seaside vs Detroit lakes
- A higher percentage of Black residents are in Seaside at 6% compared to 1% in Detroit lakes.
- The percentage of White residents is higher in Detroit lakes at 92% compared to 24% in Seaside.
- The Asian population is larger in Seaside at 11% compared to 1% in Detroit lakes.
- The Hispanic community is larger in Seaside at 46% compared to 0% in Detroit lakes.
- More residents identify as two or more races in Seaside at 13% compared to 4% in Detroit lakes.
- In Detroit lakes, the percentage of American Indian residents is higher at 2%, compared to 0% in Seaside.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seaside | Detroit lakes |
|---|---|---|
| Mental Health Not Good | 16.5% | 15.8% |
| Physical Health Not Good | 12.1% | 10.1% |
| Depression | 18.8% | 24.7% |
| Smoking | 13.4% | 19.5% |
| Binge Drinking | 15.1% | 20.5% |
| Obesity | 27.5% | 43.0% |
| Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Seaside vs Detroit lakes
- More residents in Seaside report poor mental health at 16.5% compared to 15.8% in Detroit lakes.
- Higher depression rates are seen in Detroit lakes at 24.7% versus 18.8% in Seaside.
- Detroit lakes has a higher smoking rate at 19.5% compared to 13.4% in Seaside.
- More residents engage in binge drinking in Detroit lakes at 20.5% compared to 15.1% in Seaside.
- Detroit lakes has higher obesity rates at 43.0% compared to 27.5% in Seaside.
- There is a higher percentage of disabled individuals in Detroit lakes at 16.0% 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 | Detroit lakes |
|---|---|---|
| No Schooling | 1.8% (565) | 0.4% (41) |
| High School Diploma | 12.2% (3,848) | 14.2% (1,417) |
| Less than High School | 22.0% (6,935) | 7.8% (781) |
| Bachelor's Degree and Higher | 16.5% (5,200) | 21.7% (2,176) |
Education Levels Comparison: Seaside vs Detroit lakes
- A higher percentage of residents in Seaside have no formal schooling at 1.8% compared to 0.4% in Detroit lakes.
- In Detroit lakes, the rate of residents with high school diplomas is higher at 14.2% compared to 12.2% in Seaside.
- More residents in Seaside have less than a high school education at 22.0% compared to 7.8% in Detroit lakes.
- In Detroit lakes, a larger share of residents have a bachelor's degree or higher at 21.7% compared to 16.5% in Seaside.
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.