Demographics details for Lynn haven, FL vs Seneca, MO
Population Overview
Compare main population characteristics in Lynn haven, FL vs Seneca, MO.
| Data | Lynn haven | Seneca |
|---|---|---|
| Population | 20,044 | 2,284 |
| Median Age | 35.4 years | 35.3 years |
| Median Income | $81,378 | $42,279 |
| Married Families | 43.0% | 37.0% |
| Poverty Level | 7% | Data is updating |
| Unemployment Rate | 4.1 | 3.1 |
Population Comparison: Lynn haven vs Seneca
- In Lynn haven, the population is higher at 20,044, compared to 2,284 in Seneca.
- Residents in Lynn haven have a higher median age of 35.4 years compared to 35.3 years in Seneca.
- Lynn haven has a higher median income of $81,378 compared to $42,279 in Seneca.
- A higher percentage of married families is found in Lynn haven at 43.0% compared to 37.0% in Seneca.
- Lynn haven has a higher poverty level at 7% compared to 0% in Seneca.
- The unemployment rate in Lynn haven is higher at 4.1%, compared to 3.1% in Seneca.
Demographics
Demographics Lynn haven vs Seneca provide insight into the diversity of the communities to compare.
| Demographic | Lynn haven | Seneca |
|---|---|---|
| Black | 8 | Data is updating |
| White | 73 | 87 |
| Asian | 3 | Data is updating |
| Hispanic | 8 | 3 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Lynn haven vs Seneca
- A higher percentage of Black residents are in Lynn haven at 8% compared to 0% in Seneca.
- The percentage of White residents is higher in Seneca at 87% compared to 73% in Lynn haven.
- The Asian population is larger in Lynn haven at 3% compared to 0% in Seneca.
- The Hispanic community is larger in Lynn haven at 8% compared to 3% in Seneca.
- More residents identify as two or more races in Lynn haven at 8% compared to 7% in Seneca.
- In Seneca, the percentage of American Indian residents is higher at 3%, compared to 0% in Lynn haven.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lynn haven | Seneca |
|---|---|---|
| Mental Health Not Good | 16.1% | 19.3% |
| Physical Health Not Good | 10.4% | 14.1% |
| Depression | 21.3% | 27.1% |
| Smoking | 18.6% | 24.5% |
| Binge Drinking | 16.9% | 16.7% |
| Obesity | 28.9% | 42.3% |
| Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Lynn haven vs Seneca
- In Seneca, a higher percentage report poor mental health at 19.3% compared to 16.1% in Lynn haven.
- Higher depression rates are seen in Seneca at 27.1% versus 21.3% in Lynn haven.
- Seneca has a higher smoking rate at 24.5% compared to 18.6% in Lynn haven.
- Binge drinking is more common in Lynn haven at 16.9% compared to 16.7% in Seneca.
- Seneca has higher obesity rates at 42.3% compared to 28.9% in Lynn haven.
- There is a higher percentage of disabled individuals in Seneca at 20.0% compared to 14.0% in Lynn haven.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lynn haven | Seneca |
|---|---|---|
| No Schooling | 1.1% (217) | 0.1% (3) |
| High School Diploma | 11.8% (2,373) | 18.0% (411) |
| Less than High School | 7.9% (1,576) | 14.9% (340) |
| Bachelor's Degree and Higher | 19.8% (3,974) | 7.4% (170) |
Education Levels Comparison: Lynn haven vs Seneca
- A higher percentage of residents in Lynn haven have no formal schooling at 1.1% compared to 0.1% in Seneca.
- In Seneca, the rate of residents with high school diplomas is higher at 18.0% compared to 11.8% in Lynn haven.
- The percentage of residents with less than a high school education is higher in Seneca at 14.9%, compared to 7.9% in Lynn haven.
- A higher percentage of residents in Lynn haven hold a bachelor's degree or higher at 19.8% compared to 7.4% in Seneca.
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.