Demographics details for Winona lake, IN vs Pulaski, VA
Population Overview
Compare main population characteristics in Winona lake, IN vs Pulaski, VA.
| Data | Winona lake | Pulaski |
|---|---|---|
| Population | 5,106 | 33,706 |
| Median Age | 28.9 years | 47.2 years |
| Median Income | $77,305 | $59,740 |
| Married Families | 36.0% | 43.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 2.5 | 2.9 |
Population Comparison: Winona lake vs Pulaski
- The population in Pulaski is higher at 33,706, compared to 5,106 in Winona lake.
- The median age in Pulaski is higher at 47.2 years, compared to 28.9 years in Winona lake.
- Winona lake has a higher median income of $77,305 compared to $59,740 in Pulaski.
- In Pulaski, the percentage of married families is higher at 43.0%, compared to 36.0% in Winona lake.
- The poverty level is higher in Pulaski at 12%, compared to 5% in Winona lake.
- Pulaski has a higher unemployment rate at 2.9% compared to 2.5% in Winona lake.
Demographics
Demographics Winona lake vs Pulaski provide insight into the diversity of the communities to compare.
| Demographic | Winona lake | Pulaski |
|---|---|---|
| Black | 1 | 5 |
| White | 79 | 90 |
| Asian | 1 | 1 |
| Hispanic | 14 | 2 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winona lake vs Pulaski
- In Pulaski, the percentage of Black residents is higher at 5% compared to 1% in Winona lake.
- The percentage of White residents is higher in Pulaski at 90% compared to 79% in Winona lake.
- Both Winona lake and Pulaski have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Winona lake at 14% compared to 2% in Pulaski.
- More residents identify as two or more races in Winona lake at 5% compared to 2% in Pulaski.
- The percentage of American Indian residents is the same in both Winona lake and Pulaski at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona lake | Pulaski |
|---|---|---|
| Mental Health Not Good | 15.7% | 17.7% |
| Physical Health Not Good | 9.8% | 11.6% |
| Depression | 24.7% | 24.8% |
| Smoking | 16.3% | 18.5% |
| Binge Drinking | 18.1% | 18.2% |
| Obesity | 35.6% | 37.7% |
| Disability Percentage | 8.0% | 20.0% |
Health Statistics Comparison: Winona lake vs Pulaski
- In Pulaski, a higher percentage report poor mental health at 17.7% compared to 15.7% in Winona lake.
- Higher depression rates are seen in Pulaski at 24.8% versus 24.7% in Winona lake.
- Pulaski has a higher smoking rate at 18.5% compared to 16.3% in Winona lake.
- More residents engage in binge drinking in Pulaski at 18.2% compared to 18.1% in Winona lake.
- Pulaski has higher obesity rates at 37.7% compared to 35.6% in Winona lake.
- There is a higher percentage of disabled individuals in Pulaski at 20.0% compared to 8.0% in Winona lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winona lake | Pulaski |
|---|---|---|
| No Schooling | 0.3% (17) | 1.0% (331) |
| High School Diploma | 9.5% (483) | 21.0% (7,088) |
| Less than High School | 4.0% (205) | 14.0% (4,706) |
| Bachelor's Degree and Higher | 32.4% (1,654) | 16.0% (5,382) |
Education Levels Comparison: Winona lake vs Pulaski
- In Pulaski, a larger percentage of residents lack formal schooling at 1.0% compared to 0.3% in Winona lake.
- In Pulaski, the rate of residents with high school diplomas is higher at 21.0% compared to 9.5% in Winona lake.
- The percentage of residents with less than a high school education is higher in Pulaski at 14.0%, compared to 4.0% in Winona lake.
- A higher percentage of residents in Winona lake hold a bachelor's degree or higher at 32.4% 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.