Demographics details for Honolulu, HI vs Lynn, MA
Population Overview
Compare main population characteristics in Honolulu, HI vs Lynn, MA.
| Data | Honolulu | Lynn |
|---|---|---|
| Population | 371,657 | 100,891 |
| Median Age | 38.0 years | 36.2 years |
| Median Income | $85,500 | $70,046 |
| Married Families | 13000.0% | 31.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 2.7 | 4.6 |
Population Comparison: Honolulu vs Lynn
- In Honolulu, the population is higher at 371,657, compared to 100,891 in Lynn.
- Residents in Honolulu have a higher median age of 38.0 years compared to 36.2 years in Lynn.
- Honolulu has a higher median income of $85,500 compared to $70,046 in Lynn.
- A higher percentage of married families is found in Honolulu at 13000.0% compared to 31.0% in Lynn.
- The poverty level is higher in Lynn at 12%, compared to 9% in Honolulu.
- Lynn has a higher unemployment rate at 4.6% compared to 2.7% in Honolulu.
Demographics
Demographics Honolulu vs Lynn provide insight into the diversity of the communities to compare.
| Demographic | Honolulu | Lynn |
|---|---|---|
| Black | 2 | 13 |
| White | 38 | 25 |
| Asian | 56 | 6 |
| Hispanic | 4 | 43 |
| Two or More Races | Data is updating | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Honolulu vs Lynn
- In Lynn, the percentage of Black residents is higher at 13% compared to 2% in Honolulu.
- Honolulu has a higher percentage of White residents at 38% compared to 25% in Lynn.
- The Asian population is larger in Honolulu at 56% compared to 6% in Lynn.
- Lynn has a higher percentage of Hispanic residents at 43%, compared to 4% in Honolulu.
- The percentage of residents identifying as two or more races is higher in Lynn at 12%, compared to 0% in Honolulu.
- In Lynn, the percentage of American Indian residents is higher at 1%, compared to 0% in Honolulu.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Honolulu | Lynn |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.5% |
| Physical Health Not Good | Data is updating% | 12.1% |
| Depression | Data is updating% | 22.9% |
| Smoking | Data is updating% | 17.3% |
| Binge Drinking | Data is updating% | 15.6% |
| Obesity | Data is updating% | 33.7% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Honolulu vs Lynn
- In Lynn, a higher percentage report poor mental health at 18.5% compared to 0.0% in Honolulu.
- Higher depression rates are seen in Lynn at 22.9% versus 0.0% in Honolulu.
- Lynn has a higher smoking rate at 17.3% compared to 0.0% in Honolulu.
- More residents engage in binge drinking in Lynn at 15.6% compared to 0.0% in Honolulu.
- Lynn has higher obesity rates at 33.7% compared to 0.0% in Honolulu.
- There is a higher percentage of disabled individuals in Lynn at 15.0% compared to 0.0% in Honolulu.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Honolulu | Lynn |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.6% (3,642) |
| High School Diploma | 0.0% (Data is updating) | 17.3% (17,461) |
| Less than High School | 0.0% (Data is updating) | 27.3% (27,554) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 14.4% (14,513) |
Education Levels Comparison: Honolulu vs Lynn
- In Lynn, a larger percentage of residents lack formal schooling at 3.6% compared to 0.0% in Honolulu.
- In Lynn, the rate of residents with high school diplomas is higher at 17.3% compared to 0.0% in Honolulu.
- The percentage of residents with less than a high school education is higher in Lynn at 27.3%, compared to 0.0% in Honolulu.
- In Lynn, a larger share of residents have a bachelor's degree or higher at 14.4% compared to 0.0% in Honolulu.
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.