Demographics details for Winona, MS vs Pompton lakes, NJ
Population Overview
Compare main population characteristics in Winona, MS vs Pompton lakes, NJ.
| Data | Winona | Pompton lakes |
|---|---|---|
| Population | 4,159 | 10,907 |
| Median Age | 33.7 years | 39.1 years |
| Median Income | $26,250 | $113,781 |
| Married Families | 21.0% | 45.0% |
| Poverty Level | 24% | 6% |
| Unemployment Rate | 3.6 | 4.2 |
Population Comparison: Winona vs Pompton lakes
- The population in Pompton lakes is higher at 10,907, compared to 4,159 in Winona.
- The median age in Pompton lakes is higher at 39.1 years, compared to 33.7 years in Winona.
- Pompton lakes has a higher median income of $113,781, compared to $26,250 in Winona.
- In Pompton lakes, the percentage of married families is higher at 45.0%, compared to 21.0% in Winona.
- Winona has a higher poverty level at 24% compared to 6% in Pompton lakes.
- Pompton lakes has a higher unemployment rate at 4.2% compared to 3.6% in Winona.
Demographics
Demographics Winona vs Pompton lakes provide insight into the diversity of the communities to compare.
| Demographic | Winona | Pompton lakes |
|---|---|---|
| Black | 62 | 1 |
| White | 38 | 68 |
| Asian | Data is updating | 6 |
| Hispanic | Data is updating | 17 |
| Two or More Races | Data is updating | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winona vs Pompton lakes
- A higher percentage of Black residents are in Winona at 62% compared to 1% in Pompton lakes.
- The percentage of White residents is higher in Pompton lakes at 68% compared to 38% in Winona.
- In Pompton lakes, the Asian population stands at 6%, greater than 0% in Winona.
- Pompton lakes has a higher percentage of Hispanic residents at 17%, compared to 0% in Winona.
- The percentage of residents identifying as two or more races is higher in Pompton lakes at 8%, compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Winona and Pompton lakes at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona | Pompton lakes |
|---|---|---|
| Mental Health Not Good | 19.3% | 14.2% |
| Physical Health Not Good | 15.0% | 9.0% |
| Depression | 22.3% | 17.8% |
| Smoking | 24.8% | 11.5% |
| Binge Drinking | 11.8% | 19.0% |
| Obesity | 46.4% | 26.1% |
| Disability Percentage | 25.0% | 8.0% |
Health Statistics Comparison: Winona vs Pompton lakes
- More residents in Winona report poor mental health at 19.3% compared to 14.2% in Pompton lakes.
- Depression is more prevalent in Winona at 22.3% compared to 17.8% in Pompton lakes.
- Smoking is more prevalent in Winona at 24.8% compared to 11.5% in Pompton lakes.
- More residents engage in binge drinking in Pompton lakes at 19.0% compared to 11.8% in Winona.
- Obesity rates are higher in Winona at 46.4% compared to 26.1% in Pompton lakes.
- Disability percentages are higher in Winona at 25.0% compared to 8.0% in Pompton lakes.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winona | Pompton lakes |
|---|---|---|
| No Schooling | 2.1% (87) | 0.2% (27) |
| High School Diploma | 11.4% (473) | 20.1% (2,192) |
| Less than High School | 28.5% (1,186) | 7.3% (793) |
| Bachelor's Degree and Higher | 9.3% (388) | 28.9% (3,153) |
Education Levels Comparison: Winona vs Pompton lakes
- A higher percentage of residents in Winona have no formal schooling at 2.1% compared to 0.2% in Pompton lakes.
- In Pompton lakes, the rate of residents with high school diplomas is higher at 20.1% compared to 11.4% in Winona.
- More residents in Winona have less than a high school education at 28.5% compared to 7.3% in Pompton lakes.
- In Pompton lakes, a larger share of residents have a bachelor's degree or higher at 28.9% compared to 9.3% in Winona.
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.