Demographics details for Albert lea, MN vs Seaside park, NJ
Population Overview
Compare main population characteristics in Albert lea, MN vs Seaside park, NJ.
| Data | Albert lea | Seaside park |
|---|---|---|
| Population | 18,396 | 1,473 |
| Median Age | 44.2 years | 59.5 years |
| Median Income | $56,347 | $80,658 |
| Married Families | 35.0% | 57.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 4.0 | 4.1 |
Population Comparison: Albert lea vs Seaside park
- In Albert lea, the population is higher at 18,396, compared to 1,473 in Seaside park.
- The median age in Seaside park is higher at 59.5 years, compared to 44.2 years in Albert lea.
- Seaside park has a higher median income of $80,658, compared to $56,347 in Albert lea.
- In Seaside park, the percentage of married families is higher at 57.0%, compared to 35.0% in Albert lea.
- Albert lea has a higher poverty level at 10% compared to 5% in Seaside park.
- Seaside park has a higher unemployment rate at 4.1% compared to 4.0% in Albert lea.
Demographics
Demographics Albert lea vs Seaside park provide insight into the diversity of the communities to compare.
| Demographic | Albert lea | Seaside park |
|---|---|---|
| Black | 2 | 3 |
| White | 72 | 90 |
| Asian | 3 | 4 |
| Hispanic | 15 | 1 |
| Two or More Races | 8 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Albert lea vs Seaside park
- In Seaside park, the percentage of Black residents is higher at 3% compared to 2% in Albert lea.
- The percentage of White residents is higher in Seaside park at 90% compared to 72% in Albert lea.
- In Seaside park, the Asian population stands at 4%, greater than 3% in Albert lea.
- The Hispanic community is larger in Albert lea at 15% compared to 1% in Seaside park.
- More residents identify as two or more races in Albert lea at 8% compared to 2% in Seaside park.
- The percentage of American Indian residents is the same in both Albert lea and Seaside park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Albert lea | Seaside park |
|---|---|---|
| Mental Health Not Good | 16.6% | 15.4% |
| Physical Health Not Good | 11.3% | 10.1% |
| Depression | 24.2% | 23.1% |
| Smoking | 22.1% | 13.2% |
| Binge Drinking | 18.3% | 18.2% |
| Obesity | 38.0% | 30.7% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Albert lea vs Seaside park
- More residents in Albert lea report poor mental health at 16.6% compared to 15.4% in Seaside park.
- Depression is more prevalent in Albert lea at 24.2% compared to 23.1% in Seaside park.
- Smoking is more prevalent in Albert lea at 22.1% compared to 13.2% in Seaside park.
- Binge drinking is more common in Albert lea at 18.3% compared to 18.2% in Seaside park.
- Obesity rates are higher in Albert lea at 38.0% compared to 30.7% in Seaside park.
- Disability percentages are the same in both Albert lea and Seaside park at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Albert lea | Seaside park |
|---|---|---|
| No Schooling | 2.0% (370) | 0.0% (Data is updating) |
| High School Diploma | 19.7% (3,624) | 22.2% (327) |
| Less than High School | 20.0% (3,680) | 3.3% (49) |
| Bachelor's Degree and Higher | 11.3% (2,086) | 56.3% (830) |
Education Levels Comparison: Albert lea vs Seaside park
- A higher percentage of residents in Albert lea have no formal schooling at 2.0% compared to 0.0% in Seaside park.
- In Seaside park, the rate of residents with high school diplomas is higher at 22.2% compared to 19.7% in Albert lea.
- More residents in Albert lea have less than a high school education at 20.0% compared to 3.3% in Seaside park.
- In Seaside park, a larger share of residents have a bachelor's degree or higher at 56.3% compared to 11.3% in Albert lea.
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.