Demographics details for Lynn, MA vs Fort washington, MD
Population Overview
Compare main population characteristics in Lynn, MA vs Fort washington, MD.
| Data | Lynn | Fort washington |
|---|---|---|
| Population | 100,891 | 25,825 |
| Median Age | 36.2 years | 44.1 years |
| Median Income | $70,046 | $143,623 |
| Married Families | 31.0% | 43.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 4.6 | 3.5 |
Population Comparison: Lynn vs Fort washington
- In Lynn, the population is higher at 100,891, compared to 25,825 in Fort washington.
- The median age in Fort washington is higher at 44.1 years, compared to 36.2 years in Lynn.
- Fort washington has a higher median income of $143,623, compared to $70,046 in Lynn.
- In Fort washington, the percentage of married families is higher at 43.0%, compared to 31.0% in Lynn.
- Lynn has a higher poverty level at 12% compared to 5% in Fort washington.
- The unemployment rate in Lynn is higher at 4.6%, compared to 3.5% in Fort washington.
Demographics
Demographics Lynn vs Fort washington provide insight into the diversity of the communities to compare.
| Demographic | Lynn | Fort washington |
|---|---|---|
| Black | 13 | 61 |
| White | 25 | 8 |
| Asian | 6 | 8 |
| Hispanic | 43 | 17 |
| Two or More Races | 12 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lynn vs Fort washington
- In Fort washington, the percentage of Black residents is higher at 61% compared to 13% in Lynn.
- Lynn has a higher percentage of White residents at 25% compared to 8% in Fort washington.
- In Fort washington, the Asian population stands at 8%, greater than 6% in Lynn.
- The Hispanic community is larger in Lynn at 43% compared to 17% in Fort washington.
- More residents identify as two or more races in Lynn at 12% compared to 6% in Fort washington.
- A greater percentage of American Indian residents live in Lynn at 1% compared to 0% in Fort washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lynn | Fort washington |
|---|---|---|
| Mental Health Not Good | 18.5% | 12.5% |
| Physical Health Not Good | 12.1% | 7.9% |
| Depression | 22.9% | 11.6% |
| Smoking | 17.3% | 9.6% |
| Binge Drinking | 15.6% | 12.0% |
| Obesity | 33.7% | 37.7% |
| Disability Percentage | 15.0% | 9.0% |
Health Statistics Comparison: Lynn vs Fort washington
- More residents in Lynn report poor mental health at 18.5% compared to 12.5% in Fort washington.
- Depression is more prevalent in Lynn at 22.9% compared to 11.6% in Fort washington.
- Smoking is more prevalent in Lynn at 17.3% compared to 9.6% in Fort washington.
- Binge drinking is more common in Lynn at 15.6% compared to 12.0% in Fort washington.
- Fort washington has higher obesity rates at 37.7% compared to 33.7% in Lynn.
- Disability percentages are higher in Lynn at 15.0% compared to 9.0% in Fort washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lynn | Fort washington |
|---|---|---|
| No Schooling | 3.6% (3,642) | 1.2% (297) |
| High School Diploma | 17.3% (17,461) | 14.4% (3,710) |
| Less than High School | 27.3% (27,554) | 8.3% (2,138) |
| Bachelor's Degree and Higher | 14.4% (14,513) | 31.8% (8,208) |
Education Levels Comparison: Lynn vs Fort washington
- A higher percentage of residents in Lynn have no formal schooling at 3.6% compared to 1.2% in Fort washington.
- A higher percentage of residents in Lynn hold a high school diploma at 17.3% compared to 14.4% in Fort washington.
- More residents in Lynn have less than a high school education at 27.3% compared to 8.3% in Fort washington.
- In Fort washington, a larger share of residents have a bachelor's degree or higher at 31.8% compared to 14.4% in Lynn.
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.