Demographics details for Murray, KY vs New riegel, OH
Population Overview
Compare main population characteristics in Murray, KY vs New riegel, OH.
| Data | Murray | New riegel |
|---|---|---|
| Population | 17,522 | 282 |
| Median Age | 25.6 years | 32.3 years |
| Median Income | $37,421 | $57,500 |
| Married Families | 26.0% | 46.0% |
| Poverty Level | Data is updating | 6% |
| Unemployment Rate | 3.8 | 2.5 |
Population Comparison: Murray vs New riegel
- In Murray, the population is higher at 17,522, compared to 282 in New riegel.
- The median age in New riegel is higher at 32.3 years, compared to 25.6 years in Murray.
- New riegel has a higher median income of $57,500, compared to $37,421 in Murray.
- In New riegel, the percentage of married families is higher at 46.0%, compared to 26.0% in Murray.
- The poverty level is higher in New riegel at 6%, compared to 0% in Murray.
- The unemployment rate in Murray is higher at 3.8%, compared to 2.5% in New riegel.
Demographics
Demographics Murray vs New riegel provide insight into the diversity of the communities to compare.
| Demographic | Murray | New riegel |
|---|---|---|
| Black | 6 | Data is updating |
| White | 86 | 69 |
| Asian | 3 | Data is updating |
| Hispanic | 2 | 21 |
| Two or More Races | 3 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Murray vs New riegel
- A higher percentage of Black residents are in Murray at 6% compared to 0% in New riegel.
- Murray has a higher percentage of White residents at 86% compared to 69% in New riegel.
- The Asian population is larger in Murray at 3% compared to 0% in New riegel.
- New riegel has a higher percentage of Hispanic residents at 21%, compared to 2% in Murray.
- The percentage of residents identifying as two or more races is higher in New riegel at 10%, compared to 3% in Murray.
- The percentage of American Indian residents is the same in both Murray and New riegel at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Murray | New riegel |
|---|---|---|
| Mental Health Not Good | 19.9% | 16.3% |
| Physical Health Not Good | 14.1% | 10.6% |
| Depression | 28.4% | 22.8% |
| Smoking | 22.0% | 19.3% |
| Binge Drinking | 14.0% | 19.4% |
| Obesity | 41.3% | 39.6% |
| Disability Percentage | 16.0% | 18.0% |
Health Statistics Comparison: Murray vs New riegel
- More residents in Murray report poor mental health at 19.9% compared to 16.3% in New riegel.
- Depression is more prevalent in Murray at 28.4% compared to 22.8% in New riegel.
- Smoking is more prevalent in Murray at 22.0% compared to 19.3% in New riegel.
- More residents engage in binge drinking in New riegel at 19.4% compared to 14.0% in Murray.
- Obesity rates are higher in Murray at 41.3% compared to 39.6% in New riegel.
- There is a higher percentage of disabled individuals in New riegel at 18.0% 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 | New riegel |
|---|---|---|
| No Schooling | 0.9% (166) | 0.0% (Data is updating) |
| High School Diploma | 10.5% (1,833) | 27.7% (78) |
| Less than High School | 8.7% (1,531) | 12.8% (36) |
| Bachelor's Degree and Higher | 18.2% (3,185) | 11.3% (32) |
Education Levels Comparison: Murray vs New riegel
- A higher percentage of residents in Murray have no formal schooling at 0.9% compared to 0.0% in New riegel.
- In New riegel, the rate of residents with high school diplomas is higher at 27.7% compared to 10.5% in Murray.
- The percentage of residents with less than a high school education is higher in New riegel at 12.8%, 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 11.3% in New riegel.
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.