Demographics details for Murray, KY vs Dixon, MO
Population Overview
Compare main population characteristics in Murray, KY vs Dixon, MO.
| Data | Murray | Dixon |
|---|---|---|
| Population | 17,522 | 1,219 |
| Median Age | 25.6 years | 32.3 years |
| Median Income | $37,421 | $45,900 |
| Married Families | 26.0% | 25.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 3.8 | 3.5 |
Population Comparison: Murray vs Dixon
- In Murray, the population is higher at 17,522, compared to 1,219 in Dixon.
- The median age in Dixon is higher at 32.3 years, compared to 25.6 years in Murray.
- Dixon has a higher median income of $45,900, compared to $37,421 in Murray.
- A higher percentage of married families is found in Murray at 26.0% compared to 25.0% in Dixon.
- The poverty level is higher in Dixon at 12%, compared to 0% in Murray.
- The unemployment rate in Murray is higher at 3.8%, compared to 3.5% in Dixon.
Demographics
Demographics Murray vs Dixon provide insight into the diversity of the communities to compare.
| Demographic | Murray | Dixon |
|---|---|---|
| Black | 6 | Data is updating |
| White | 86 | 98 |
| Asian | 3 | Data is updating |
| Hispanic | 2 | 2 |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Murray vs Dixon
- A higher percentage of Black residents are in Murray at 6% compared to 0% in Dixon.
- The percentage of White residents is higher in Dixon at 98% compared to 86% in Murray.
- The Asian population is larger in Murray at 3% compared to 0% in Dixon.
- The percentage of Hispanic residents is the same in both Murray and Dixon at 2%.
- More residents identify as two or more races in Murray at 3% compared to 0% in Dixon.
- The percentage of American Indian residents is the same in both Murray and Dixon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Murray | Dixon |
|---|---|---|
| Mental Health Not Good | 19.9% | 19.7% |
| Physical Health Not Good | 14.1% | 15.1% |
| Depression | 28.4% | 27.4% |
| Smoking | 22.0% | 24.9% |
| Binge Drinking | 14.0% | 16.3% |
| Obesity | 41.3% | 42.1% |
| Disability Percentage | 16.0% | 20.0% |
Health Statistics Comparison: Murray vs Dixon
- More residents in Murray report poor mental health at 19.9% compared to 19.7% in Dixon.
- Depression is more prevalent in Murray at 28.4% compared to 27.4% in Dixon.
- Dixon has a higher smoking rate at 24.9% compared to 22.0% in Murray.
- More residents engage in binge drinking in Dixon at 16.3% compared to 14.0% in Murray.
- Dixon has higher obesity rates at 42.1% compared to 41.3% in Murray.
- There is a higher percentage of disabled individuals in Dixon at 20.0% 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 | Dixon |
|---|---|---|
| No Schooling | 0.9% (166) | 0.3% (4) |
| High School Diploma | 10.5% (1,833) | 17.2% (210) |
| Less than High School | 8.7% (1,531) | 15.1% (184) |
| Bachelor's Degree and Higher | 18.2% (3,185) | 7.6% (93) |
Education Levels Comparison: Murray vs Dixon
- A higher percentage of residents in Murray have no formal schooling at 0.9% compared to 0.3% in Dixon.
- In Dixon, the rate of residents with high school diplomas is higher at 17.2% compared to 10.5% in Murray.
- The percentage of residents with less than a high school education is higher in Dixon at 15.1%, 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 7.6% in Dixon.
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.