Demographics details for Pulaski, VA vs Forest lake, MN
Population Overview
Compare main population characteristics in Pulaski, VA vs Forest lake, MN.
Data | Pulaski | Forest lake |
---|---|---|
Population | 33,706 | 20,857 |
Median Age | 47.2 years | 37.9 years |
Median Income | $59,740 | $91,157 |
Married Families | 43.0% | 42.0% |
Poverty Level | 12% | 6% |
Unemployment Rate | 2.9 | 3.2 |
Population Comparison: Pulaski vs Forest lake
- In Pulaski, the population is higher at 33,706, compared to 20,857 in Forest lake.
- Residents in Pulaski have a higher median age of 47.2 years compared to 37.9 years in Forest lake.
- Forest lake has a higher median income of $91,157, compared to $59,740 in Pulaski.
- A higher percentage of married families is found in Pulaski at 43.0% compared to 42.0% in Forest lake.
- Pulaski has a higher poverty level at 12% compared to 6% in Forest lake.
- Forest lake has a higher unemployment rate at 3.2% compared to 2.9% in Pulaski.
Demographics
Demographics Pulaski vs Forest lake provide insight into the diversity of the communities to compare.
Demographic | Pulaski | Forest lake |
---|---|---|
Black | 5 | 3 |
White | 90 | 81 |
Asian | 1 | 4 |
Hispanic | 2 | 6 |
Two or More Races | 2 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pulaski vs Forest lake
- A higher percentage of Black residents are in Pulaski at 5% compared to 3% in Forest lake.
- Pulaski has a higher percentage of White residents at 90% compared to 81% in Forest lake.
- In Forest lake, the Asian population stands at 4%, greater than 1% in Pulaski.
- Forest lake has a higher percentage of Hispanic residents at 6%, compared to 2% in Pulaski.
- The percentage of residents identifying as two or more races is higher in Forest lake at 6%, compared to 2% in Pulaski.
- The percentage of American Indian residents is the same in both Pulaski and Forest lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pulaski | Forest lake |
---|---|---|
Mental Health Not Good | 17.7% | 14.7% |
Physical Health Not Good | 11.6% | 8.8% |
Depression | 24.8% | 24.1% |
Smoking | 18.5% | 15.7% |
Binge Drinking | 18.2% | 21.4% |
Obesity | 37.7% | 32.9% |
Disability Percentage | 20.0% | 10.0% |
Health Statistics Comparison: Pulaski vs Forest lake
- More residents in Pulaski report poor mental health at 17.7% compared to 14.7% in Forest lake.
- Depression is more prevalent in Pulaski at 24.8% compared to 24.1% in Forest lake.
- Smoking is more prevalent in Pulaski at 18.5% compared to 15.7% in Forest lake.
- More residents engage in binge drinking in Forest lake at 21.4% compared to 18.2% in Pulaski.
- Obesity rates are higher in Pulaski at 37.7% compared to 32.9% in Forest lake.
- Disability percentages are higher in Pulaski at 20.0% compared to 10.0% in Forest lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pulaski | Forest lake |
---|---|---|
No Schooling | 1.0% (331) | 0.5% (101) |
High School Diploma | 21.0% (7,088) | 14.6% (3,055) |
Less than High School | 14.0% (4,706) | 7.7% (1,615) |
Bachelor's Degree and Higher | 16.0% (5,382) | 24.6% (5,123) |
Education Levels Comparison: Pulaski vs Forest lake
- A higher percentage of residents in Pulaski have no formal schooling at 1.0% compared to 0.5% in Forest lake.
- A higher percentage of residents in Pulaski hold a high school diploma at 21.0% compared to 14.6% in Forest lake.
- More residents in Pulaski have less than a high school education at 14.0% compared to 7.7% in Forest lake.
- In Forest lake, a larger share of residents have a bachelor's degree or higher at 24.6% compared to 16.0% in Pulaski.
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.