Demographics details for Lynn, MA vs Mountain home, AR
Population Overview
Compare main population characteristics in Lynn, MA vs Mountain home, AR.
| Data | Lynn | Mountain home |
|---|---|---|
| Population | 100,891 | 13,150 |
| Median Age | 36.2 years | 41.8 years |
| Median Income | $70,046 | $42,281 |
| Married Families | 31.0% | 38.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 4.6 | 3.5 |
Population Comparison: Lynn vs Mountain home
- In Lynn, the population is higher at 100,891, compared to 13,150 in Mountain home.
- The median age in Mountain home is higher at 41.8 years, compared to 36.2 years in Lynn.
- Lynn has a higher median income of $70,046 compared to $42,281 in Mountain home.
- In Mountain home, the percentage of married families is higher at 38.0%, compared to 31.0% in Lynn.
- The poverty level is higher in Mountain home at 14%, compared to 12% in Lynn.
- The unemployment rate in Lynn is higher at 4.6%, compared to 3.5% in Mountain home.
Demographics
Demographics Lynn vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Lynn | Mountain home |
|---|---|---|
| Black | 13 | Data is updating |
| White | 25 | 90 |
| Asian | 6 | 1 |
| Hispanic | 43 | 4 |
| Two or More Races | 12 | 4 |
| American Indian | 1 | 1 |
Demographics Comparison: Lynn vs Mountain home
- A higher percentage of Black residents are in Lynn at 13% compared to 0% in Mountain home.
- The percentage of White residents is higher in Mountain home at 90% compared to 25% in Lynn.
- The Asian population is larger in Lynn at 6% compared to 1% in Mountain home.
- The Hispanic community is larger in Lynn at 43% compared to 4% in Mountain home.
- More residents identify as two or more races in Lynn at 12% compared to 4% in Mountain home.
- The percentage of American Indian residents is the same in both Lynn and Mountain home at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lynn | Mountain home |
|---|---|---|
| Mental Health Not Good | 18.5% | 19.2% |
| Physical Health Not Good | 12.1% | 12.9% |
| Depression | 22.9% | 28.5% |
| Smoking | 17.3% | 21.1% |
| Binge Drinking | 15.6% | 16.3% |
| Obesity | 33.7% | 34.3% |
| Disability Percentage | 15.0% | 22.0% |
Health Statistics Comparison: Lynn vs Mountain home
- In Mountain home, a higher percentage report poor mental health at 19.2% compared to 18.5% in Lynn.
- Higher depression rates are seen in Mountain home at 28.5% versus 22.9% in Lynn.
- Mountain home has a higher smoking rate at 21.1% compared to 17.3% in Lynn.
- More residents engage in binge drinking in Mountain home at 16.3% compared to 15.6% in Lynn.
- Mountain home has higher obesity rates at 34.3% compared to 33.7% in Lynn.
- There is a higher percentage of disabled individuals in Mountain home at 22.0% compared to 15.0% in Lynn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lynn | Mountain home |
|---|---|---|
| No Schooling | 3.6% (3,642) | 0.7% (87) |
| High School Diploma | 17.3% (17,461) | 16.9% (2,225) |
| Less than High School | 27.3% (27,554) | 14.2% (1,870) |
| Bachelor's Degree and Higher | 14.4% (14,513) | 15.0% (1,973) |
Education Levels Comparison: Lynn vs Mountain home
- A higher percentage of residents in Lynn have no formal schooling at 3.6% compared to 0.7% in Mountain home.
- A higher percentage of residents in Lynn hold a high school diploma at 17.3% compared to 16.9% in Mountain home.
- More residents in Lynn have less than a high school education at 27.3% compared to 14.2% in Mountain home.
- In Mountain home, a larger share of residents have a bachelor's degree or higher at 15.0% 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.