Demographics details for London, KY vs Cross city, FL
Population Overview
Compare main population characteristics in London, KY vs Cross city, FL.
| Data | London | Cross city |
|---|---|---|
| Population | 7,578 | 1,754 |
| Median Age | 39.5 years | 40.2 years |
| Median Income | $45,858 | $44,500 |
| Married Families | 35.0% | 47.0% |
| Poverty Level | 13% | 18% |
| Unemployment Rate | 3.8 | 3.5 |
Population Comparison: London vs Cross city
- In London, the population is higher at 7,578, compared to 1,754 in Cross city.
- The median age in Cross city is higher at 40.2 years, compared to 39.5 years in London.
- London has a higher median income of $45,858 compared to $44,500 in Cross city.
- In Cross city, the percentage of married families is higher at 47.0%, compared to 35.0% in London.
- The poverty level is higher in Cross city at 18%, compared to 13% in London.
- The unemployment rate in London is higher at 3.8%, compared to 3.5% in Cross city.
Demographics
Demographics London vs Cross city provide insight into the diversity of the communities to compare.
| Demographic | London | Cross city |
|---|---|---|
| Black | 2 | 20 |
| White | 93 | 61 |
| Asian | 1 | 2 |
| Hispanic | 2 | 9 |
| Two or More Races | 2 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: London vs Cross city
- In Cross city, the percentage of Black residents is higher at 20% compared to 2% in London.
- London has a higher percentage of White residents at 93% compared to 61% in Cross city.
- In Cross city, the Asian population stands at 2%, greater than 1% in London.
- Cross city has a higher percentage of Hispanic residents at 9%, compared to 2% in London.
- The percentage of residents identifying as two or more races is higher in Cross city at 8%, compared to 2% in London.
- The percentage of American Indian residents is the same in both London and Cross city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | London | Cross city |
|---|---|---|
| Mental Health Not Good | 20.5% | 20.0% |
| Physical Health Not Good | 16.0% | 15.8% |
| Depression | 29.0% | 23.8% |
| Smoking | 24.5% | 29.1% |
| Binge Drinking | 14.8% | 14.8% |
| Obesity | 46.7% | 40.8% |
| Disability Percentage | 18.0% | 32.0% |
Health Statistics Comparison: London vs Cross city
- More residents in London report poor mental health at 20.5% compared to 20.0% in Cross city.
- Depression is more prevalent in London at 29.0% compared to 23.8% in Cross city.
- Cross city has a higher smoking rate at 29.1% compared to 24.5% in London.
- Binge drinking rates are similar in both London and Cross city at 14.8%.
- Obesity rates are higher in London at 46.7% compared to 40.8% in Cross city.
- There is a higher percentage of disabled individuals in Cross city at 32.0% compared to 18.0% in London.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | London | Cross city |
|---|---|---|
| No Schooling | 1.2% (93) | 0.9% (15) |
| High School Diploma | 19.7% (1,496) | 39.2% (688) |
| Less than High School | 18.6% (1,409) | 11.7% (205) |
| Bachelor's Degree and Higher | 11.9% (900) | 7.8% (136) |
Education Levels Comparison: London vs Cross city
- A higher percentage of residents in London have no formal schooling at 1.2% compared to 0.9% in Cross city.
- In Cross city, the rate of residents with high school diplomas is higher at 39.2% compared to 19.7% in London.
- More residents in London have less than a high school education at 18.6% compared to 11.7% in Cross city.
- A higher percentage of residents in London hold a bachelor's degree or higher at 11.9% compared to 7.8% in Cross city.
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.