Demographics details for Lynn, MA vs San francisco, CA
Population Overview
Compare main population characteristics in Lynn, MA vs San francisco, CA.
| Data | Lynn | San francisco |
|---|---|---|
| Population | 100,891 | 808,437 |
| Median Age | 36.2 years | 39.3 years |
| Median Income | $70,046 | $136,689 |
| Married Families | 31.0% | 38.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.6 | 3.6 |
Population Comparison: Lynn vs San francisco
- The population in San francisco is higher at 808,437, compared to 100,891 in Lynn.
- The median age in San francisco is higher at 39.3 years, compared to 36.2 years in Lynn.
- San francisco has a higher median income of $136,689, compared to $70,046 in Lynn.
- In San francisco, the percentage of married families is higher at 38.0%, compared to 31.0% in Lynn.
- The poverty level is identical in both Lynn and San francisco at 12%.
- The unemployment rate in Lynn is higher at 4.6%, compared to 3.6% in San francisco.
Demographics
Demographics Lynn vs San francisco provide insight into the diversity of the communities to compare.
| Demographic | Lynn | San francisco |
|---|---|---|
| Black | 13 | 5 |
| White | 25 | 31 |
| Asian | 6 | 37 |
| Hispanic | 43 | 16 |
| Two or More Races | 12 | 10 |
| American Indian | 1 | 1 |
Demographics Comparison: Lynn vs San francisco
- A higher percentage of Black residents are in Lynn at 13% compared to 5% in San francisco.
- The percentage of White residents is higher in San francisco at 31% compared to 25% in Lynn.
- In San francisco, the Asian population stands at 37%, greater than 6% in Lynn.
- The Hispanic community is larger in Lynn at 43% compared to 16% in San francisco.
- More residents identify as two or more races in Lynn at 12% compared to 10% in San francisco.
- The percentage of American Indian residents is the same in both Lynn and San francisco at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lynn | San francisco |
|---|---|---|
| Mental Health Not Good | 18.5% | 13.4% |
| Physical Health Not Good | 12.1% | 8.4% |
| Depression | 22.9% | 15.7% |
| Smoking | 17.3% | 9.2% |
| Binge Drinking | 15.6% | 16.4% |
| Obesity | 33.7% | 19.1% |
| Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: Lynn vs San francisco
- More residents in Lynn report poor mental health at 18.5% compared to 13.4% in San francisco.
- Depression is more prevalent in Lynn at 22.9% compared to 15.7% in San francisco.
- Smoking is more prevalent in Lynn at 17.3% compared to 9.2% in San francisco.
- More residents engage in binge drinking in San francisco at 16.4% compared to 15.6% in Lynn.
- Obesity rates are higher in Lynn at 33.7% compared to 19.1% in San francisco.
- Disability percentages are higher in Lynn at 15.0% compared to 11.0% in San francisco.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lynn | San francisco |
|---|---|---|
| No Schooling | 3.6% (3,642) | 3.0% (23,928) |
| High School Diploma | 17.3% (17,461) | 8.5% (68,418) |
| Less than High School | 27.3% (27,554) | 12.4% (99,947) |
| Bachelor's Degree and Higher | 14.4% (14,513) | 50.3% (406,774) |
Education Levels Comparison: Lynn vs San francisco
- A higher percentage of residents in Lynn have no formal schooling at 3.6% compared to 3.0% in San francisco.
- A higher percentage of residents in Lynn hold a high school diploma at 17.3% compared to 8.5% in San francisco.
- More residents in Lynn have less than a high school education at 27.3% compared to 12.4% in San francisco.
- In San francisco, a larger share of residents have a bachelor's degree or higher at 50.3% 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.