Demographics details for Molino, FL vs Seattle, WA
Population Overview
Compare main population characteristics in Molino, FL vs Seattle, WA.
| Data | Molino | Seattle |
|---|---|---|
| Population | 1,253 | 749,256 |
| Median Age | 35.9 years | 35.4 years |
| Median Income | $87,614 | $116,068 |
| Married Families | 50.0% | 35.0% |
| Poverty Level | 13% | 9% |
| Unemployment Rate | 3.5 | 4.6 |
Population Comparison: Molino vs Seattle
- The population in Seattle is higher at 749,256, compared to 1,253 in Molino.
- Residents in Molino have a higher median age of 35.9 years compared to 35.4 years in Seattle.
- Seattle has a higher median income of $116,068, compared to $87,614 in Molino.
- A higher percentage of married families is found in Molino at 50.0% compared to 35.0% in Seattle.
- Molino has a higher poverty level at 13% compared to 9% in Seattle.
- Seattle has a higher unemployment rate at 4.6% compared to 3.5% in Molino.
Demographics
Demographics Molino vs Seattle provide insight into the diversity of the communities to compare.
| Demographic | Molino | Seattle |
|---|---|---|
| Black | 13 | 7 |
| White | 54 | 59 |
| Asian | Data is updating | 17 |
| Hispanic | 12 | 7 |
| Two or More Races | 20 | 9 |
| American Indian | 1 | 1 |
Demographics Comparison: Molino vs Seattle
- A higher percentage of Black residents are in Molino at 13% compared to 7% in Seattle.
- The percentage of White residents is higher in Seattle at 59% compared to 54% in Molino.
- In Seattle, the Asian population stands at 17%, greater than 0% in Molino.
- The Hispanic community is larger in Molino at 12% compared to 7% in Seattle.
- More residents identify as two or more races in Molino at 20% compared to 9% in Seattle.
- The percentage of American Indian residents is the same in both Molino and Seattle at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Molino | Seattle |
|---|---|---|
| Mental Health Not Good | 17.1% | 15.1% |
| Physical Health Not Good | 11.5% | 8.5% |
| Depression | 22.4% | 23.6% |
| Smoking | 21.3% | 8.6% |
| Binge Drinking | 15.8% | 17.6% |
| Obesity | 34.8% | 23.8% |
| Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Molino vs Seattle
- More residents in Molino report poor mental health at 17.1% compared to 15.1% in Seattle.
- Higher depression rates are seen in Seattle at 23.6% versus 22.4% in Molino.
- Smoking is more prevalent in Molino at 21.3% compared to 8.6% in Seattle.
- More residents engage in binge drinking in Seattle at 17.6% compared to 15.8% in Molino.
- Obesity rates are higher in Molino at 34.8% compared to 23.8% in Seattle.
- Disability percentages are higher in Molino at 12.0% compared to 9.0% in Seattle.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Molino | Seattle |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (6,839) |
| High School Diploma | 21.4% (268) | 5.8% (43,106) |
| Less than High School | 6.7% (84) | 4.7% (35,004) |
| Bachelor's Degree and Higher | 11.7% (147) | 49.4% (369,798) |
Education Levels Comparison: Molino vs Seattle
- In Seattle, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Molino.
- A higher percentage of residents in Molino hold a high school diploma at 21.4% compared to 5.8% in Seattle.
- More residents in Molino have less than a high school education at 6.7% compared to 4.7% in Seattle.
- In Seattle, a larger share of residents have a bachelor's degree or higher at 49.4% compared to 11.7% in Molino.
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.