Demographics details for London, KY vs State line, MS
Population Overview
Compare main population characteristics in London, KY vs State line, MS.
| Data | London | State line |
|---|---|---|
| Population | 7,578 | 458 |
| Median Age | 39.5 years | 34.0 years |
| Median Income | $45,858 | $38,529 |
| Married Families | 35.0% | 61.0% |
| Poverty Level | 13% | 18% |
| Unemployment Rate | 3.8 | 5.5 |
Population Comparison: London vs State line
- In London, the population is higher at 7,578, compared to 458 in State line.
- Residents in London have a higher median age of 39.5 years compared to 34.0 years in State line.
- London has a higher median income of $45,858 compared to $38,529 in State line.
- In State line, the percentage of married families is higher at 61.0%, compared to 35.0% in London.
- The poverty level is higher in State line at 18%, compared to 13% in London.
- State line has a higher unemployment rate at 5.5% compared to 3.8% in London.
Demographics
Demographics London vs State line provide insight into the diversity of the communities to compare.
| Demographic | London | State line |
|---|---|---|
| Black | 2 | 97 |
| White | 93 | 3 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: London vs State line
- In State line, the percentage of Black residents is higher at 97% compared to 2% in London.
- London has a higher percentage of White residents at 93% compared to 3% in State line.
- The Asian population is larger in London at 1% compared to 0% in State line.
- The Hispanic community is larger in London at 2% compared to 0% in State line.
- More residents identify as two or more races in London at 2% compared to 0% in State line.
- The percentage of American Indian residents is the same in both London and State line at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | London | State line |
|---|---|---|
| Mental Health Not Good | 20.5% | 16.8% |
| Physical Health Not Good | 16.0% | 12.4% |
| Depression | 29.0% | 20.9% |
| Smoking | 24.5% | 20.0% |
| Binge Drinking | 14.8% | 13.5% |
| Obesity | 46.7% | 41.8% |
| Disability Percentage | 18.0% | 32.0% |
Health Statistics Comparison: London vs State line
- More residents in London report poor mental health at 20.5% compared to 16.8% in State line.
- Depression is more prevalent in London at 29.0% compared to 20.9% in State line.
- Smoking is more prevalent in London at 24.5% compared to 20.0% in State line.
- Binge drinking is more common in London at 14.8% compared to 13.5% in State line.
- Obesity rates are higher in London at 46.7% compared to 41.8% in State line.
- There is a higher percentage of disabled individuals in State line 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 | State line |
|---|---|---|
| No Schooling | 1.2% (93) | 0.0% (Data is updating) |
| High School Diploma | 19.7% (1,496) | 55.9% (256) |
| Less than High School | 18.6% (1,409) | 28.8% (132) |
| Bachelor's Degree and Higher | 11.9% (900) | 4.1% (19) |
Education Levels Comparison: London vs State line
- A higher percentage of residents in London have no formal schooling at 1.2% compared to 0.0% in State line.
- In State line, the rate of residents with high school diplomas is higher at 55.9% compared to 19.7% in London.
- The percentage of residents with less than a high school education is higher in State line at 28.8%, compared to 18.6% in London.
- A higher percentage of residents in London hold a bachelor's degree or higher at 11.9% compared to 4.1% in State line.
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.