Demographics details for Pulaski, VA vs Hanover park, IL
Population Overview
Compare main population characteristics in Pulaski, VA vs Hanover park, IL.
Data | Pulaski | Hanover park |
---|---|---|
Population | 33,706 | 36,376 |
Median Age | 47.2 years | 34.7 years |
Median Income | $59,740 | $88,460 |
Married Families | 43.0% | 39.0% |
Poverty Level | 12% | 6% |
Unemployment Rate | 2.9 | 5.6 |
Population Comparison: Pulaski vs Hanover park
- The population in Hanover park is higher at 36,376, compared to 33,706 in Pulaski.
- Residents in Pulaski have a higher median age of 47.2 years compared to 34.7 years in Hanover park.
- Hanover park has a higher median income of $88,460, compared to $59,740 in Pulaski.
- A higher percentage of married families is found in Pulaski at 43.0% compared to 39.0% in Hanover park.
- Pulaski has a higher poverty level at 12% compared to 6% in Hanover park.
- Hanover park has a higher unemployment rate at 5.6% compared to 2.9% in Pulaski.
Demographics
Demographics Pulaski vs Hanover park provide insight into the diversity of the communities to compare.
Demographic | Pulaski | Hanover park |
---|---|---|
Black | 5 | 8 |
White | 90 | 17 |
Asian | 1 | 20 |
Hispanic | 2 | 39 |
Two or More Races | 2 | 15 |
American Indian | Data is updating | 1 |
Demographics Comparison: Pulaski vs Hanover park
- In Hanover park, the percentage of Black residents is higher at 8% compared to 5% in Pulaski.
- Pulaski has a higher percentage of White residents at 90% compared to 17% in Hanover park.
- In Hanover park, the Asian population stands at 20%, greater than 1% in Pulaski.
- Hanover park has a higher percentage of Hispanic residents at 39%, compared to 2% in Pulaski.
- The percentage of residents identifying as two or more races is higher in Hanover park at 15%, compared to 2% in Pulaski.
- In Hanover park, the percentage of American Indian residents is higher at 1%, compared to 0% in Pulaski.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pulaski | Hanover park |
---|---|---|
Mental Health Not Good | 17.7% | 13.2% |
Physical Health Not Good | 11.6% | 9.9% |
Depression | 24.8% | 16.1% |
Smoking | 18.5% | 13.1% |
Binge Drinking | 18.2% | 16.4% |
Obesity | 37.7% | 30.5% |
Disability Percentage | 20.0% | 8.0% |
Health Statistics Comparison: Pulaski vs Hanover park
- More residents in Pulaski report poor mental health at 17.7% compared to 13.2% in Hanover park.
- Depression is more prevalent in Pulaski at 24.8% compared to 16.1% in Hanover park.
- Smoking is more prevalent in Pulaski at 18.5% compared to 13.1% in Hanover park.
- Binge drinking is more common in Pulaski at 18.2% compared to 16.4% in Hanover park.
- Obesity rates are higher in Pulaski at 37.7% compared to 30.5% in Hanover park.
- Disability percentages are higher in Pulaski at 20.0% compared to 8.0% in Hanover park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pulaski | Hanover park |
---|---|---|
No Schooling | 1.0% (331) | 2.1% (758) |
High School Diploma | 21.0% (7,088) | 16.2% (5,894) |
Less than High School | 14.0% (4,706) | 21.1% (7,688) |
Bachelor's Degree and Higher | 16.0% (5,382) | 18.0% (6,537) |
Education Levels Comparison: Pulaski vs Hanover park
- In Hanover park, a larger percentage of residents lack formal schooling at 2.1% compared to 1.0% in Pulaski.
- A higher percentage of residents in Pulaski hold a high school diploma at 21.0% compared to 16.2% in Hanover park.
- The percentage of residents with less than a high school education is higher in Hanover park at 21.1%, compared to 14.0% in Pulaski.
- In Hanover park, a larger share of residents have a bachelor's degree or higher at 18.0% 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.