Demographics details for Pulaski, WI vs Falls church, VA
Population Overview
Compare main population characteristics in Pulaski, WI vs Falls church, VA.
Data | Pulaski | Falls church |
---|---|---|
Population | 4,045 | 14,586 |
Median Age | 29.1 years | 38.8 years |
Median Income | $65,906 | $164,536 |
Married Families | 28.0% | 43.0% |
Poverty Level | 10% | 6% |
Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Pulaski vs Falls church
- The population in Falls church is higher at 14,586, compared to 4,045 in Pulaski.
- The median age in Falls church is higher at 38.8 years, compared to 29.1 years in Pulaski.
- Falls church has a higher median income of $164,536, compared to $65,906 in Pulaski.
- In Falls church, the percentage of married families is higher at 43.0%, compared to 28.0% in Pulaski.
- Pulaski has a higher poverty level at 10% compared to 6% in Falls church.
- The unemployment rate in Pulaski is higher at 3.5%, compared to 2.5% in Falls church.
Demographics
Demographics Pulaski vs Falls church provide insight into the diversity of the communities to compare.
Demographic | Pulaski | Falls church |
---|---|---|
Black | 1 | 5 |
White | 84 | 65 |
Asian | 2 | 9 |
Hispanic | 2 | 11 |
Two or More Races | 10 | 10 |
American Indian | 1 | Data is updating |
Demographics Comparison: Pulaski vs Falls church
- In Falls church, the percentage of Black residents is higher at 5% compared to 1% in Pulaski.
- Pulaski has a higher percentage of White residents at 84% compared to 65% in Falls church.
- In Falls church, the Asian population stands at 9%, greater than 2% in Pulaski.
- Falls church has a higher percentage of Hispanic residents at 11%, compared to 2% in Pulaski.
- Both Pulaski and Falls church have the same percentage of residents identifying as two or more races at 10%.
- A greater percentage of American Indian residents live in Pulaski at 1% compared to 0% in Falls church.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pulaski | Falls church |
---|---|---|
Mental Health Not Good | 14.5% | 11.9% |
Physical Health Not Good | 9.4% | 6.5% |
Depression | 22.4% | 19.9% |
Smoking | 14.6% | 7.5% |
Binge Drinking | 24.7% | 18.8% |
Obesity | 35.4% | 30.8% |
Disability Percentage | 14.0% | 7.0% |
Health Statistics Comparison: Pulaski vs Falls church
- More residents in Pulaski report poor mental health at 14.5% compared to 11.9% in Falls church.
- Depression is more prevalent in Pulaski at 22.4% compared to 19.9% in Falls church.
- Smoking is more prevalent in Pulaski at 14.6% compared to 7.5% in Falls church.
- Binge drinking is more common in Pulaski at 24.7% compared to 18.8% in Falls church.
- Obesity rates are higher in Pulaski at 35.4% compared to 30.8% in Falls church.
- Disability percentages are higher in Pulaski at 14.0% compared to 7.0% in Falls church.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pulaski | Falls church |
---|---|---|
No Schooling | 0.4% (16) | 0.3% (50) |
High School Diploma | 17.7% (715) | 4.1% (597) |
Less than High School | 4.7% (191) | 2.7% (388) |
Bachelor's Degree and Higher | 10.7% (432) | 52.5% (7,660) |
Education Levels Comparison: Pulaski vs Falls church
- A higher percentage of residents in Pulaski have no formal schooling at 0.4% compared to 0.3% in Falls church.
- A higher percentage of residents in Pulaski hold a high school diploma at 17.7% compared to 4.1% in Falls church.
- More residents in Pulaski have less than a high school education at 4.7% compared to 2.7% in Falls church.
- In Falls church, a larger share of residents have a bachelor's degree or higher at 52.5% compared to 10.7% 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.