Demographics details for Pulaski, VA vs West mifflin, PA
Population Overview
Compare main population characteristics in Pulaski, VA vs West mifflin, PA.
Data | Pulaski | West mifflin |
---|---|---|
Population | 33,706 | 19,140 |
Median Age | 47.2 years | 45.2 years |
Median Income | $59,740 | $64,314 |
Married Families | 43.0% | 38.0% |
Poverty Level | 12% | 9% |
Unemployment Rate | 2.9 | 3.2 |
Population Comparison: Pulaski vs West mifflin
- In Pulaski, the population is higher at 33,706, compared to 19,140 in West mifflin.
- Residents in Pulaski have a higher median age of 47.2 years compared to 45.2 years in West mifflin.
- West mifflin has a higher median income of $64,314, compared to $59,740 in Pulaski.
- A higher percentage of married families is found in Pulaski at 43.0% compared to 38.0% in West mifflin.
- Pulaski has a higher poverty level at 12% compared to 9% in West mifflin.
- West mifflin has a higher unemployment rate at 3.2% compared to 2.9% in Pulaski.
Demographics
Demographics Pulaski vs West mifflin provide insight into the diversity of the communities to compare.
Demographic | Pulaski | West mifflin |
---|---|---|
Black | 5 | 11 |
White | 90 | 82 |
Asian | 1 | 1 |
Hispanic | 2 | 2 |
Two or More Races | 2 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pulaski vs West mifflin
- In West mifflin, the percentage of Black residents is higher at 11% compared to 5% in Pulaski.
- Pulaski has a higher percentage of White residents at 90% compared to 82% in West mifflin.
- Both Pulaski and West mifflin have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Pulaski and West mifflin at 2%.
- The percentage of residents identifying as two or more races is higher in West mifflin at 4%, compared to 2% in Pulaski.
- The percentage of American Indian residents is the same in both Pulaski and West mifflin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pulaski | West mifflin |
---|---|---|
Mental Health Not Good | 17.7% | 17.0% |
Physical Health Not Good | 11.6% | 11.6% |
Depression | 24.8% | 23.0% |
Smoking | 18.5% | 20.0% |
Binge Drinking | 18.2% | 21.2% |
Obesity | 37.7% | 33.9% |
Disability Percentage | 20.0% | 17.0% |
Health Statistics Comparison: Pulaski vs West mifflin
- More residents in Pulaski report poor mental health at 17.7% compared to 17.0% in West mifflin.
- Depression is more prevalent in Pulaski at 24.8% compared to 23.0% in West mifflin.
- West mifflin has a higher smoking rate at 20.0% compared to 18.5% in Pulaski.
- More residents engage in binge drinking in West mifflin at 21.2% compared to 18.2% in Pulaski.
- Obesity rates are higher in Pulaski at 37.7% compared to 33.9% in West mifflin.
- Disability percentages are higher in Pulaski at 20.0% compared to 17.0% in West mifflin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pulaski | West mifflin |
---|---|---|
No Schooling | 1.0% (331) | 0.4% (75) |
High School Diploma | 21.0% (7,088) | 25.5% (4,884) |
Less than High School | 14.0% (4,706) | 7.2% (1,377) |
Bachelor's Degree and Higher | 16.0% (5,382) | 16.7% (3,199) |
Education Levels Comparison: Pulaski vs West mifflin
- A higher percentage of residents in Pulaski have no formal schooling at 1.0% compared to 0.4% in West mifflin.
- In West mifflin, the rate of residents with high school diplomas is higher at 25.5% compared to 21.0% in Pulaski.
- More residents in Pulaski have less than a high school education at 14.0% compared to 7.2% in West mifflin.
- In West mifflin, a larger share of residents have a bachelor's degree or higher at 16.7% 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.