Demographics details for Whitehall, WI vs Ho ho kus, NJ
Population Overview
Compare main population characteristics in Whitehall, WI vs Ho ho kus, NJ.
| Data | Whitehall | Ho ho kus |
|---|---|---|
| Population | 1,632 | 4,216 |
| Median Age | 36.8 years | 43.0 years |
| Median Income | $56,894 | $250,001 |
| Married Families | 30.0% | 52.0% |
| Poverty Level | 7% | Data is updating |
| Unemployment Rate | 3.6 | 2.5 |
Population Comparison: Whitehall vs Ho ho kus
- The population in Ho ho kus is higher at 4,216, compared to 1,632 in Whitehall.
- The median age in Ho ho kus is higher at 43.0 years, compared to 36.8 years in Whitehall.
- Ho ho kus has a higher median income of $250,001, compared to $56,894 in Whitehall.
- In Ho ho kus, the percentage of married families is higher at 52.0%, compared to 30.0% in Whitehall.
- Whitehall has a higher poverty level at 7% compared to 0% in Ho ho kus.
- The unemployment rate in Whitehall is higher at 3.6%, compared to 2.5% in Ho ho kus.
Demographics
Demographics Whitehall vs Ho ho kus provide insight into the diversity of the communities to compare.
| Demographic | Whitehall | Ho ho kus |
|---|---|---|
| Black | 1 | 1 |
| White | 83 | 67 |
| Asian | Data is updating | 12 |
| Hispanic | 12 | 12 |
| Two or More Races | 3 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Whitehall vs Ho ho kus
- The percentage of Black residents is the same in both Whitehall and Ho ho kus at 1%.
- Whitehall has a higher percentage of White residents at 83% compared to 67% in Ho ho kus.
- In Ho ho kus, the Asian population stands at 12%, greater than 0% in Whitehall.
- The percentage of Hispanic residents is the same in both Whitehall and Ho ho kus at 12%.
- The percentage of residents identifying as two or more races is higher in Ho ho kus at 8%, compared to 3% in Whitehall.
- A greater percentage of American Indian residents live in Whitehall at 1% compared to 0% in Ho ho kus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitehall | Ho ho kus |
|---|---|---|
| Mental Health Not Good | 15.2% | 11.2% |
| Physical Health Not Good | 10.3% | 5.8% |
| Depression | 24.0% | 16.6% |
| Smoking | 16.7% | 6.9% |
| Binge Drinking | 24.4% | 19.6% |
| Obesity | 34.9% | 21.9% |
| Disability Percentage | 15.0% | 5.0% |
Health Statistics Comparison: Whitehall vs Ho ho kus
- More residents in Whitehall report poor mental health at 15.2% compared to 11.2% in Ho ho kus.
- Depression is more prevalent in Whitehall at 24.0% compared to 16.6% in Ho ho kus.
- Smoking is more prevalent in Whitehall at 16.7% compared to 6.9% in Ho ho kus.
- Binge drinking is more common in Whitehall at 24.4% compared to 19.6% in Ho ho kus.
- Obesity rates are higher in Whitehall at 34.9% compared to 21.9% in Ho ho kus.
- Disability percentages are higher in Whitehall at 15.0% compared to 5.0% in Ho ho kus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Whitehall | Ho ho kus |
|---|---|---|
| No Schooling | 0.4% (7) | 0.0% (Data is updating) |
| High School Diploma | 24.4% (398) | 2.8% (117) |
| Less than High School | 15.7% (256) | 2.0% (83) |
| Bachelor's Degree and Higher | 8.6% (141) | 51.4% (2,167) |
Education Levels Comparison: Whitehall vs Ho ho kus
- A higher percentage of residents in Whitehall have no formal schooling at 0.4% compared to 0.0% in Ho ho kus.
- A higher percentage of residents in Whitehall hold a high school diploma at 24.4% compared to 2.8% in Ho ho kus.
- More residents in Whitehall have less than a high school education at 15.7% compared to 2.0% in Ho ho kus.
- In Ho ho kus, a larger share of residents have a bachelor's degree or higher at 51.4% compared to 8.6% in Whitehall.
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.