Demographics details for Albert lea, MN vs Cocoa beach, FL
Population Overview
Compare main population characteristics in Albert lea, MN vs Cocoa beach, FL.
| Data | Albert lea | Cocoa beach |
|---|---|---|
| Population | 18,396 | 11,341 |
| Median Age | 44.2 years | 58.6 years |
| Median Income | $56,347 | $80,880 |
| Married Families | 35.0% | 50.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Albert lea vs Cocoa beach
- In Albert lea, the population is higher at 18,396, compared to 11,341 in Cocoa beach.
- The median age in Cocoa beach is higher at 58.6 years, compared to 44.2 years in Albert lea.
- Cocoa beach has a higher median income of $80,880, compared to $56,347 in Albert lea.
- In Cocoa beach, the percentage of married families is higher at 50.0%, compared to 35.0% in Albert lea.
- Albert lea has a higher poverty level at 10% compared to 7% in Cocoa beach.
- The unemployment rate in Albert lea is higher at 4.0%, compared to 3.5% in Cocoa beach.
Demographics
Demographics Albert lea vs Cocoa beach provide insight into the diversity of the communities to compare.
| Demographic | Albert lea | Cocoa beach |
|---|---|---|
| Black | 2 | 1 |
| White | 72 | 85 |
| Asian | 3 | 1 |
| Hispanic | 15 | 7 |
| Two or More Races | 8 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Albert lea vs Cocoa beach
- A higher percentage of Black residents are in Albert lea at 2% compared to 1% in Cocoa beach.
- The percentage of White residents is higher in Cocoa beach at 85% compared to 72% in Albert lea.
- The Asian population is larger in Albert lea at 3% compared to 1% in Cocoa beach.
- The Hispanic community is larger in Albert lea at 15% compared to 7% in Cocoa beach.
- More residents identify as two or more races in Albert lea at 8% compared to 6% in Cocoa beach.
- The percentage of American Indian residents is the same in both Albert lea and Cocoa beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Albert lea | Cocoa beach |
|---|---|---|
| Mental Health Not Good | 16.6% | 14.6% |
| Physical Health Not Good | 11.3% | 8.7% |
| Depression | 24.2% | 19.5% |
| Smoking | 22.1% | 14.5% |
| Binge Drinking | 18.3% | 17.9% |
| Obesity | 38.0% | 29.4% |
| Disability Percentage | 13.0% | 19.0% |
Health Statistics Comparison: Albert lea vs Cocoa beach
- More residents in Albert lea report poor mental health at 16.6% compared to 14.6% in Cocoa beach.
- Depression is more prevalent in Albert lea at 24.2% compared to 19.5% in Cocoa beach.
- Smoking is more prevalent in Albert lea at 22.1% compared to 14.5% in Cocoa beach.
- Binge drinking is more common in Albert lea at 18.3% compared to 17.9% in Cocoa beach.
- Obesity rates are higher in Albert lea at 38.0% compared to 29.4% in Cocoa beach.
- There is a higher percentage of disabled individuals in Cocoa beach at 19.0% compared to 13.0% in Albert lea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Albert lea | Cocoa beach |
|---|---|---|
| No Schooling | 2.0% (370) | 0.4% (48) |
| High School Diploma | 19.7% (3,624) | 11.7% (1,326) |
| Less than High School | 20.0% (3,680) | 4.7% (532) |
| Bachelor's Degree and Higher | 11.3% (2,086) | 43.6% (4,948) |
Education Levels Comparison: Albert lea vs Cocoa beach
- A higher percentage of residents in Albert lea have no formal schooling at 2.0% compared to 0.4% in Cocoa beach.
- A higher percentage of residents in Albert lea hold a high school diploma at 19.7% compared to 11.7% in Cocoa beach.
- More residents in Albert lea have less than a high school education at 20.0% compared to 4.7% in Cocoa beach.
- In Cocoa beach, a larger share of residents have a bachelor's degree or higher at 43.6% 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.