Demographics details for Lynn haven, FL vs Coleman, OK
Population Overview
Compare main population characteristics in Lynn haven, FL vs Coleman, OK.
| Data | Lynn haven | Coleman |
|---|---|---|
| Population | 20,044 | 297 |
| Median Age | 35.4 years | 39.7 years |
| Median Income | $81,378 | $45,938 |
| Married Families | 43.0% | 35.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Lynn haven vs Coleman
- In Lynn haven, the population is higher at 20,044, compared to 297 in Coleman.
- The median age in Coleman is higher at 39.7 years, compared to 35.4 years in Lynn haven.
- Lynn haven has a higher median income of $81,378 compared to $45,938 in Coleman.
- A higher percentage of married families is found in Lynn haven at 43.0% compared to 35.0% in Coleman.
- The poverty level is higher in Coleman at 12%, compared to 7% in Lynn haven.
- The unemployment rate in Lynn haven is higher at 4.1%, compared to 3.5% in Coleman.
Demographics
Demographics Lynn haven vs Coleman provide insight into the diversity of the communities to compare.
| Demographic | Lynn haven | Coleman |
|---|---|---|
| Black | 8 | 2 |
| White | 73 | 77 |
| Asian | 3 | Data is updating |
| Hispanic | 8 | 1 |
| Two or More Races | 8 | 9 |
| American Indian | Data is updating | 11 |
Demographics Comparison: Lynn haven vs Coleman
- A higher percentage of Black residents are in Lynn haven at 8% compared to 2% in Coleman.
- The percentage of White residents is higher in Coleman at 77% compared to 73% in Lynn haven.
- The Asian population is larger in Lynn haven at 3% compared to 0% in Coleman.
- The Hispanic community is larger in Lynn haven at 8% compared to 1% in Coleman.
- The percentage of residents identifying as two or more races is higher in Coleman at 9%, compared to 8% in Lynn haven.
- In Coleman, the percentage of American Indian residents is higher at 11%, compared to 0% in Lynn haven.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lynn haven | Coleman |
|---|---|---|
| Mental Health Not Good | 16.1% | 19.9% |
| Physical Health Not Good | 10.4% | 13.9% |
| Depression | 21.3% | 26.9% |
| Smoking | 18.6% | 22.9% |
| Binge Drinking | 16.9% | 14.8% |
| Obesity | 28.9% | 40.8% |
| Disability Percentage | 14.0% | 29.0% |
Health Statistics Comparison: Lynn haven vs Coleman
- In Coleman, a higher percentage report poor mental health at 19.9% compared to 16.1% in Lynn haven.
- Higher depression rates are seen in Coleman at 26.9% versus 21.3% in Lynn haven.
- Coleman has a higher smoking rate at 22.9% compared to 18.6% in Lynn haven.
- Binge drinking is more common in Lynn haven at 16.9% compared to 14.8% in Coleman.
- Coleman has higher obesity rates at 40.8% compared to 28.9% in Lynn haven.
- There is a higher percentage of disabled individuals in Coleman at 29.0% 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 | Coleman |
|---|---|---|
| No Schooling | 1.1% (217) | 0.0% (Data is updating) |
| High School Diploma | 11.8% (2,373) | 28.6% (85) |
| Less than High School | 7.9% (1,576) | 4.0% (12) |
| Bachelor's Degree and Higher | 19.8% (3,974) | 11.1% (33) |
Education Levels Comparison: Lynn haven vs Coleman
- A higher percentage of residents in Lynn haven have no formal schooling at 1.1% compared to 0.0% in Coleman.
- In Coleman, the rate of residents with high school diplomas is higher at 28.6% compared to 11.8% in Lynn haven.
- More residents in Lynn haven have less than a high school education at 7.9% compared to 4.0% in Coleman.
- A higher percentage of residents in Lynn haven hold a bachelor's degree or higher at 19.8% compared to 11.1% in Coleman.
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.