Demographics details for Crescent, PA vs Pulaski, VA
Population Overview
Compare main population characteristics in Crescent, PA vs Pulaski, VA.
Data | Crescent | Pulaski |
---|---|---|
Population | 2,455 | 33,706 |
Median Age | 50.8 years | 47.2 years |
Median Income | $76,116 | $59,740 |
Married Families | 49.0% | 43.0% |
Poverty Level | 4% | 12% |
Unemployment Rate | 3.5 | 2.9 |
Population Comparison: Crescent vs Pulaski
- The population in Pulaski is higher at 33,706, compared to 2,455 in Crescent.
- Residents in Crescent have a higher median age of 50.8 years compared to 47.2 years in Pulaski.
- Crescent has a higher median income of $76,116 compared to $59,740 in Pulaski.
- A higher percentage of married families is found in Crescent at 49.0% compared to 43.0% in Pulaski.
- The poverty level is higher in Pulaski at 12%, compared to 4% in Crescent.
- The unemployment rate in Crescent is higher at 3.5%, compared to 2.9% in Pulaski.
Demographics
Demographics Crescent vs Pulaski provide insight into the diversity of the communities to compare.
Demographic | Crescent | Pulaski |
---|---|---|
Black | 1 | 5 |
White | 92 | 90 |
Asian | 3 | 1 |
Hispanic | 3 | 2 |
Two or More Races | 1 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Crescent vs Pulaski
- In Pulaski, the percentage of Black residents is higher at 5% compared to 1% in Crescent.
- Crescent has a higher percentage of White residents at 92% compared to 90% in Pulaski.
- The Asian population is larger in Crescent at 3% compared to 1% in Pulaski.
- The Hispanic community is larger in Crescent at 3% compared to 2% in Pulaski.
- The percentage of residents identifying as two or more races is higher in Pulaski at 2%, compared to 1% in Crescent.
- The percentage of American Indian residents is the same in both Crescent and Pulaski at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Crescent | Pulaski |
---|---|---|
Mental Health Not Good | Data is updating% | 17.7% |
Physical Health Not Good | Data is updating% | 11.6% |
Depression | Data is updating% | 24.8% |
Smoking | Data is updating% | 18.5% |
Binge Drinking | Data is updating% | 18.2% |
Obesity | Data is updating% | 37.7% |
Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Crescent vs Pulaski
- In Pulaski, a higher percentage report poor mental health at 17.7% compared to 0.0% in Crescent.
- Higher depression rates are seen in Pulaski at 24.8% versus 0.0% in Crescent.
- Pulaski has a higher smoking rate at 18.5% compared to 0.0% in Crescent.
- More residents engage in binge drinking in Pulaski at 18.2% compared to 0.0% in Crescent.
- Pulaski has higher obesity rates at 37.7% compared to 0.0% in Crescent.
- There is a higher percentage of disabled individuals in Pulaski at 20.0% compared to 13.0% in Crescent.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Crescent | Pulaski |
---|---|---|
No Schooling | 1.1% (27) | 1.0% (331) |
High School Diploma | 18.3% (449) | 21.0% (7,088) |
Less than High School | 10.8% (264) | 14.0% (4,706) |
Bachelor's Degree and Higher | 19.8% (487) | 16.0% (5,382) |
Education Levels Comparison: Crescent vs Pulaski
- A higher percentage of residents in Crescent have no formal schooling at 1.1% compared to 1.0% in Pulaski.
- In Pulaski, the rate of residents with high school diplomas is higher at 21.0% compared to 18.3% in Crescent.
- The percentage of residents with less than a high school education is higher in Pulaski at 14.0%, compared to 10.8% in Crescent.
- A higher percentage of residents in Crescent hold a bachelor's degree or higher at 19.8% 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.