Demographics details for Pulaski, WI vs Southold, NY
Population Overview
Compare main population characteristics in Pulaski, WI vs Southold, NY.
| Data | Pulaski | Southold |
|---|---|---|
| Population | 4,045 | 22,125 |
| Median Age | 29.1 years | 47.0 years |
| Median Income | $65,906 | $92,839 |
| Married Families | 28.0% | 65.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Pulaski vs Southold
- The population in Southold is higher at 22,125, compared to 4,045 in Pulaski.
- The median age in Southold is higher at 47.0 years, compared to 29.1 years in Pulaski.
- Southold has a higher median income of $92,839, compared to $65,906 in Pulaski.
- In Southold, the percentage of married families is higher at 65.0%, compared to 28.0% in Pulaski.
- Pulaski has a higher poverty level at 10% compared to 5% in Southold.
- The unemployment rate in Pulaski is higher at 3.5%, compared to 3.0% in Southold.
Demographics
Demographics Pulaski vs Southold provide insight into the diversity of the communities to compare.
| Demographic | Pulaski | Southold |
|---|---|---|
| Black | 1 | 2 |
| White | 84 | 90 |
| Asian | 2 | 1 |
| Hispanic | 2 | 5 |
| Two or More Races | 10 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pulaski vs Southold
- In Southold, the percentage of Black residents is higher at 2% compared to 1% in Pulaski.
- The percentage of White residents is higher in Southold at 90% compared to 84% in Pulaski.
- The Asian population is larger in Pulaski at 2% compared to 1% in Southold.
- Southold has a higher percentage of Hispanic residents at 5%, compared to 2% in Pulaski.
- More residents identify as two or more races in Pulaski at 10% compared to 2% in Southold.
- A greater percentage of American Indian residents live in Pulaski at 1% compared to 0% in Southold.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pulaski | Southold |
|---|---|---|
| Mental Health Not Good | 14.5% | Data is updating% |
| Physical Health Not Good | 9.4% | Data is updating% |
| Depression | 22.4% | Data is updating% |
| Smoking | 14.6% | Data is updating% |
| Binge Drinking | 24.7% | Data is updating% |
| Obesity | 35.4% | Data is updating% |
| Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Pulaski vs Southold
- More residents in Pulaski report poor mental health at 14.5% compared to 0.0% in Southold.
- Depression is more prevalent in Pulaski at 22.4% compared to 0.0% in Southold.
- Smoking is more prevalent in Pulaski at 14.6% compared to 0.0% in Southold.
- Binge drinking is more common in Pulaski at 24.7% compared to 0.0% in Southold.
- Obesity rates are higher in Pulaski at 35.4% compared to 0.0% in Southold.
- Disability percentages are higher in Pulaski at 14.0% compared to 0.0% in Southold.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pulaski | Southold |
|---|---|---|
| No Schooling | 0.4% (16) | 0.0% (Data is updating) |
| High School Diploma | 17.7% (715) | 0.0% (Data is updating) |
| Less than High School | 4.7% (191) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 10.7% (432) | 0.0% (Data is updating) |
Education Levels Comparison: Pulaski vs Southold
- A higher percentage of residents in Pulaski have no formal schooling at 0.4% compared to 0.0% in Southold.
- A higher percentage of residents in Pulaski hold a high school diploma at 17.7% compared to 0.0% in Southold.
- More residents in Pulaski have less than a high school education at 4.7% compared to 0.0% in Southold.
- A higher percentage of residents in Pulaski hold a bachelor's degree or higher at 10.7% compared to 0.0% in Southold.
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.