Demographics details for London, KY vs Mount union, PA
Population Overview
Compare main population characteristics in London, KY vs Mount union, PA.
| Data | London | Mount union |
|---|---|---|
| Population | 7,578 | 2,267 |
| Median Age | 39.5 years | 34.8 years |
| Median Income | $45,858 | $38,382 |
| Married Families | 35.0% | 25.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 3.8 | 4.2 |
Population Comparison: London vs Mount union
- In London, the population is higher at 7,578, compared to 2,267 in Mount union.
- Residents in London have a higher median age of 39.5 years compared to 34.8 years in Mount union.
- London has a higher median income of $45,858 compared to $38,382 in Mount union.
- A higher percentage of married families is found in London at 35.0% compared to 25.0% in Mount union.
- London has a higher poverty level at 13% compared to 12% in Mount union.
- Mount union has a higher unemployment rate at 4.2% compared to 3.8% in London.
Demographics
Demographics London vs Mount union provide insight into the diversity of the communities to compare.
| Demographic | London | Mount union |
|---|---|---|
| Black | 2 | 8 |
| White | 93 | 87 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | 1 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: London vs Mount union
- In Mount union, the percentage of Black residents is higher at 8% compared to 2% in London.
- London has a higher percentage of White residents at 93% compared to 87% in Mount union.
- The Asian population is larger in London at 1% compared to 0% in Mount union.
- The Hispanic community is larger in London at 2% compared to 1% in Mount union.
- The percentage of residents identifying as two or more races is higher in Mount union at 4%, compared to 2% in London.
- The percentage of American Indian residents is the same in both London and Mount union at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | London | Mount union |
|---|---|---|
| Mental Health Not Good | 20.5% | 20.7% |
| Physical Health Not Good | 16.0% | 15.3% |
| Depression | 29.0% | 25.6% |
| Smoking | 24.5% | 26.4% |
| Binge Drinking | 14.8% | 16.4% |
| Obesity | 46.7% | 43.0% |
| Disability Percentage | 18.0% | 20.0% |
Health Statistics Comparison: London vs Mount union
- In Mount union, a higher percentage report poor mental health at 20.7% compared to 20.5% in London.
- Depression is more prevalent in London at 29.0% compared to 25.6% in Mount union.
- Mount union has a higher smoking rate at 26.4% compared to 24.5% in London.
- More residents engage in binge drinking in Mount union at 16.4% compared to 14.8% in London.
- Obesity rates are higher in London at 46.7% compared to 43.0% in Mount union.
- There is a higher percentage of disabled individuals in Mount union at 20.0% 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 | Mount union |
|---|---|---|
| No Schooling | 1.2% (93) | 1.9% (43) |
| High School Diploma | 19.7% (1,496) | 28.5% (646) |
| Less than High School | 18.6% (1,409) | 16.3% (370) |
| Bachelor's Degree and Higher | 11.9% (900) | 6.3% (142) |
Education Levels Comparison: London vs Mount union
- In Mount union, a larger percentage of residents lack formal schooling at 1.9% compared to 1.2% in London.
- In Mount union, the rate of residents with high school diplomas is higher at 28.5% compared to 19.7% in London.
- More residents in London have less than a high school education at 18.6% compared to 16.3% in Mount union.
- A higher percentage of residents in London hold a bachelor's degree or higher at 11.9% compared to 6.3% in Mount union.
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.