Demographics details for Forest lake, MN vs Dublin, CA
Population Overview
Compare main population characteristics in Forest lake, MN vs Dublin, CA.
| Data | Forest lake | Dublin |
|---|---|---|
| Population | 20,857 | 72,060 |
| Median Age | 37.9 years | 37.1 years |
| Median Income | $91,157 | $191,039 |
| Married Families | 42.0% | 47.0% |
| Poverty Level | 6% | 5% |
| Unemployment Rate | 3.2 | 4.3 |
Population Comparison: Forest lake vs Dublin
- The population in Dublin is higher at 72,060, compared to 20,857 in Forest lake.
- Residents in Forest lake have a higher median age of 37.9 years compared to 37.1 years in Dublin.
- Dublin has a higher median income of $191,039, compared to $91,157 in Forest lake.
- In Dublin, the percentage of married families is higher at 47.0%, compared to 42.0% in Forest lake.
- Forest lake has a higher poverty level at 6% compared to 5% in Dublin.
- Dublin has a higher unemployment rate at 4.3% compared to 3.2% in Forest lake.
Demographics
Demographics Forest lake vs Dublin provide insight into the diversity of the communities to compare.
| Demographic | Forest lake | Dublin |
|---|---|---|
| Black | 3 | 4 |
| White | 81 | 23 |
| Asian | 4 | 53 |
| Hispanic | 6 | 10 |
| Two or More Races | 6 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Forest lake vs Dublin
- In Dublin, the percentage of Black residents is higher at 4% compared to 3% in Forest lake.
- Forest lake has a higher percentage of White residents at 81% compared to 23% in Dublin.
- In Dublin, the Asian population stands at 53%, greater than 4% in Forest lake.
- Dublin has a higher percentage of Hispanic residents at 10%, compared to 6% in Forest lake.
- The percentage of residents identifying as two or more races is higher in Dublin at 9%, compared to 6% in Forest lake.
- In Dublin, the percentage of American Indian residents is higher at 1%, compared to 0% in Forest lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest lake | Dublin |
|---|---|---|
| Mental Health Not Good | 14.7% | 12.8% |
| Physical Health Not Good | 8.8% | 7.3% |
| Depression | 24.1% | 16.2% |
| Smoking | 15.7% | 7.4% |
| Binge Drinking | 21.4% | 16.8% |
| Obesity | 32.9% | 23.6% |
| Disability Percentage | 10.0% | 6.0% |
Health Statistics Comparison: Forest lake vs Dublin
- More residents in Forest lake report poor mental health at 14.7% compared to 12.8% in Dublin.
- Depression is more prevalent in Forest lake at 24.1% compared to 16.2% in Dublin.
- Smoking is more prevalent in Forest lake at 15.7% compared to 7.4% in Dublin.
- Binge drinking is more common in Forest lake at 21.4% compared to 16.8% in Dublin.
- Obesity rates are higher in Forest lake at 32.9% compared to 23.6% in Dublin.
- Disability percentages are higher in Forest lake at 10.0% compared to 6.0% in Dublin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Forest lake | Dublin |
|---|---|---|
| No Schooling | 0.5% (101) | 0.6% (461) |
| High School Diploma | 14.6% (3,055) | 5.9% (4,230) |
| Less than High School | 7.7% (1,615) | 4.3% (3,081) |
| Bachelor's Degree and Higher | 24.6% (5,123) | 46.5% (33,513) |
Education Levels Comparison: Forest lake vs Dublin
- In Dublin, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Forest lake.
- A higher percentage of residents in Forest lake hold a high school diploma at 14.6% compared to 5.9% in Dublin.
- More residents in Forest lake have less than a high school education at 7.7% compared to 4.3% in Dublin.
- In Dublin, a larger share of residents have a bachelor's degree or higher at 46.5% compared to 24.6% in Forest lake.
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.