Demographics details for Murray, KY vs Wilmington, OH
Population Overview
Compare main population characteristics in Murray, KY vs Wilmington, OH.
| Data | Murray | Wilmington |
|---|---|---|
| Population | 17,522 | 12,656 |
| Median Age | 25.6 years | 36.5 years |
| Median Income | $37,421 | $48,407 |
| Married Families | 26.0% | 31.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 3.8 | 5.2 |
Population Comparison: Murray vs Wilmington
- In Murray, the population is higher at 17,522, compared to 12,656 in Wilmington.
- The median age in Wilmington is higher at 36.5 years, compared to 25.6 years in Murray.
- Wilmington has a higher median income of $48,407, compared to $37,421 in Murray.
- In Wilmington, the percentage of married families is higher at 31.0%, compared to 26.0% in Murray.
- The poverty level is higher in Wilmington at 12%, compared to 0% in Murray.
- Wilmington has a higher unemployment rate at 5.2% compared to 3.8% in Murray.
Demographics
Demographics Murray vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | Murray | Wilmington |
|---|---|---|
| Black | 6 | 5 |
| White | 86 | 85 |
| Asian | 3 | 2 |
| Hispanic | 2 | 3 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Murray vs Wilmington
- A higher percentage of Black residents are in Murray at 6% compared to 5% in Wilmington.
- Murray has a higher percentage of White residents at 86% compared to 85% in Wilmington.
- The Asian population is larger in Murray at 3% compared to 2% in Wilmington.
- Wilmington has a higher percentage of Hispanic residents at 3%, compared to 2% in Murray.
- The percentage of residents identifying as two or more races is higher in Wilmington at 5%, compared to 3% in Murray.
- The percentage of American Indian residents is the same in both Murray and Wilmington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Murray | Wilmington |
|---|---|---|
| Mental Health Not Good | 19.9% | 19.1% |
| Physical Health Not Good | 14.1% | 13.1% |
| Depression | 28.4% | 25.1% |
| Smoking | 22.0% | 22.9% |
| Binge Drinking | 14.0% | 16.7% |
| Obesity | 41.3% | 43.0% |
| Disability Percentage | 16.0% | 19.0% |
Health Statistics Comparison: Murray vs Wilmington
- More residents in Murray report poor mental health at 19.9% compared to 19.1% in Wilmington.
- Depression is more prevalent in Murray at 28.4% compared to 25.1% in Wilmington.
- Wilmington has a higher smoking rate at 22.9% compared to 22.0% in Murray.
- More residents engage in binge drinking in Wilmington at 16.7% compared to 14.0% in Murray.
- Wilmington has higher obesity rates at 43.0% compared to 41.3% in Murray.
- There is a higher percentage of disabled individuals in Wilmington at 19.0% compared to 16.0% in Murray.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Murray | Wilmington |
|---|---|---|
| No Schooling | 0.9% (166) | 1.4% (171) |
| High School Diploma | 10.5% (1,833) | 21.3% (2,702) |
| Less than High School | 8.7% (1,531) | 11.0% (1,394) |
| Bachelor's Degree and Higher | 18.2% (3,185) | 13.9% (1,753) |
Education Levels Comparison: Murray vs Wilmington
- In Wilmington, a larger percentage of residents lack formal schooling at 1.4% compared to 0.9% in Murray.
- In Wilmington, the rate of residents with high school diplomas is higher at 21.3% compared to 10.5% in Murray.
- The percentage of residents with less than a high school education is higher in Wilmington at 11.0%, compared to 8.7% in Murray.
- A higher percentage of residents in Murray hold a bachelor's degree or higher at 18.2% compared to 13.9% in Wilmington.
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.