Demographics details for London, KY vs Ormond beach, FL
Population Overview
Compare main population characteristics in London, KY vs Ormond beach, FL.
| Data | London | Ormond beach |
|---|---|---|
| Population | 7,578 | 44,052 |
| Median Age | 39.5 years | 51.9 years |
| Median Income | $45,858 | $65,238 |
| Married Families | 35.0% | 42.0% |
| Poverty Level | 13% | 9% |
| Unemployment Rate | 3.8 | 3.5 |
Population Comparison: London vs Ormond beach
- The population in Ormond beach is higher at 44,052, compared to 7,578 in London.
- The median age in Ormond beach is higher at 51.9 years, compared to 39.5 years in London.
- Ormond beach has a higher median income of $65,238, compared to $45,858 in London.
- In Ormond beach, the percentage of married families is higher at 42.0%, compared to 35.0% in London.
- London has a higher poverty level at 13% compared to 9% in Ormond beach.
- The unemployment rate in London is higher at 3.8%, compared to 3.5% in Ormond beach.
Demographics
Demographics London vs Ormond beach provide insight into the diversity of the communities to compare.
| Demographic | London | Ormond beach |
|---|---|---|
| Black | 2 | 6 |
| White | 93 | 80 |
| Asian | 1 | 3 |
| Hispanic | 2 | 7 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: London vs Ormond beach
- In Ormond beach, the percentage of Black residents is higher at 6% compared to 2% in London.
- London has a higher percentage of White residents at 93% compared to 80% in Ormond beach.
- In Ormond beach, the Asian population stands at 3%, greater than 1% in London.
- Ormond beach has a higher percentage of Hispanic residents at 7%, compared to 2% in London.
- The percentage of residents identifying as two or more races is higher in Ormond beach at 4%, compared to 2% in London.
- The percentage of American Indian residents is the same in both London and Ormond beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | London | Ormond beach |
|---|---|---|
| Mental Health Not Good | 20.5% | 16.1% |
| Physical Health Not Good | 16.0% | 10.1% |
| Depression | 29.0% | 21.1% |
| Smoking | 24.5% | 19.2% |
| Binge Drinking | 14.8% | 18.8% |
| Obesity | 46.7% | 30.8% |
| Disability Percentage | 18.0% | 15.0% |
Health Statistics Comparison: London vs Ormond beach
- More residents in London report poor mental health at 20.5% compared to 16.1% in Ormond beach.
- Depression is more prevalent in London at 29.0% compared to 21.1% in Ormond beach.
- Smoking is more prevalent in London at 24.5% compared to 19.2% in Ormond beach.
- More residents engage in binge drinking in Ormond beach at 18.8% compared to 14.8% in London.
- Obesity rates are higher in London at 46.7% compared to 30.8% in Ormond beach.
- Disability percentages are higher in London at 18.0% compared to 15.0% in Ormond beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | London | Ormond beach |
|---|---|---|
| No Schooling | 1.2% (93) | 0.4% (173) |
| High School Diploma | 19.7% (1,496) | 16.1% (7,098) |
| Less than High School | 18.6% (1,409) | 8.9% (3,901) |
| Bachelor's Degree and Higher | 11.9% (900) | 26.5% (11,653) |
Education Levels Comparison: London vs Ormond beach
- A higher percentage of residents in London have no formal schooling at 1.2% compared to 0.4% in Ormond beach.
- A higher percentage of residents in London hold a high school diploma at 19.7% compared to 16.1% in Ormond beach.
- More residents in London have less than a high school education at 18.6% compared to 8.9% in Ormond beach.
- In Ormond beach, a larger share of residents have a bachelor's degree or higher at 26.5% compared to 11.9% in London.
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.