Demographics details for Whitehall, WI vs Lynn, MA
Population Overview
Compare main population characteristics in Whitehall, WI vs Lynn, MA.
| Data | Whitehall | Lynn |
|---|---|---|
| Population | 1,632 | 100,891 |
| Median Age | 36.8 years | 36.2 years |
| Median Income | $56,894 | $70,046 |
| Married Families | 30.0% | 31.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.6 | 4.6 |
Population Comparison: Whitehall vs Lynn
- The population in Lynn is higher at 100,891, compared to 1,632 in Whitehall.
- Residents in Whitehall have a higher median age of 36.8 years compared to 36.2 years in Lynn.
- Lynn has a higher median income of $70,046, compared to $56,894 in Whitehall.
- In Lynn, the percentage of married families is higher at 31.0%, compared to 30.0% in Whitehall.
- The poverty level is higher in Lynn at 12%, compared to 7% in Whitehall.
- Lynn has a higher unemployment rate at 4.6% compared to 3.6% in Whitehall.
Demographics
Demographics Whitehall vs Lynn provide insight into the diversity of the communities to compare.
| Demographic | Whitehall | Lynn |
|---|---|---|
| Black | 1 | 13 |
| White | 83 | 25 |
| Asian | Data is updating | 6 |
| Hispanic | 12 | 43 |
| Two or More Races | 3 | 12 |
| American Indian | 1 | 1 |
Demographics Comparison: Whitehall vs Lynn
- In Lynn, the percentage of Black residents is higher at 13% compared to 1% in Whitehall.
- Whitehall has a higher percentage of White residents at 83% compared to 25% in Lynn.
- In Lynn, the Asian population stands at 6%, greater than 0% in Whitehall.
- Lynn has a higher percentage of Hispanic residents at 43%, compared to 12% in Whitehall.
- The percentage of residents identifying as two or more races is higher in Lynn at 12%, compared to 3% in Whitehall.
- The percentage of American Indian residents is the same in both Whitehall and Lynn at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitehall | Lynn |
|---|---|---|
| Mental Health Not Good | 15.2% | 18.5% |
| Physical Health Not Good | 10.3% | 12.1% |
| Depression | 24.0% | 22.9% |
| Smoking | 16.7% | 17.3% |
| Binge Drinking | 24.4% | 15.6% |
| Obesity | 34.9% | 33.7% |
| Disability Percentage | 15.0% | 15.0% |
Health Statistics Comparison: Whitehall vs Lynn
- In Lynn, a higher percentage report poor mental health at 18.5% compared to 15.2% in Whitehall.
- Depression is more prevalent in Whitehall at 24.0% compared to 22.9% in Lynn.
- Lynn has a higher smoking rate at 17.3% compared to 16.7% in Whitehall.
- Binge drinking is more common in Whitehall at 24.4% compared to 15.6% in Lynn.
- Obesity rates are higher in Whitehall at 34.9% compared to 33.7% in Lynn.
- Disability percentages are the same in both Whitehall and Lynn at 15.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Whitehall | Lynn |
|---|---|---|
| No Schooling | 0.4% (7) | 3.6% (3,642) |
| High School Diploma | 24.4% (398) | 17.3% (17,461) |
| Less than High School | 15.7% (256) | 27.3% (27,554) |
| Bachelor's Degree and Higher | 8.6% (141) | 14.4% (14,513) |
Education Levels Comparison: Whitehall vs Lynn
- In Lynn, a larger percentage of residents lack formal schooling at 3.6% compared to 0.4% in Whitehall.
- A higher percentage of residents in Whitehall hold a high school diploma at 24.4% compared to 17.3% in Lynn.
- The percentage of residents with less than a high school education is higher in Lynn at 27.3%, compared to 15.7% in Whitehall.
- In Lynn, a larger share of residents have a bachelor's degree or higher at 14.4% 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.