Demographics details for Mount olive, MS vs Murray, KY
Population Overview
Compare main population characteristics in Mount olive, MS vs Murray, KY.
| Data | Mount olive | Murray |
|---|---|---|
| Population | 878 | 17,522 |
| Median Age | 31.7 years | 25.6 years |
| Median Income | $53,947 | $37,421 |
| Married Families | 49.0% | 26.0% |
| Poverty Level | 18% | Data is updating |
| Unemployment Rate | 6.5 | 3.8 |
Population Comparison: Mount olive vs Murray
- The population in Murray is higher at 17,522, compared to 878 in Mount olive.
- Residents in Mount olive have a higher median age of 31.7 years compared to 25.6 years in Murray.
- Mount olive has a higher median income of $53,947 compared to $37,421 in Murray.
- A higher percentage of married families is found in Mount olive at 49.0% compared to 26.0% in Murray.
- Mount olive has a higher poverty level at 18% compared to 0% in Murray.
- The unemployment rate in Mount olive is higher at 6.5%, compared to 3.8% in Murray.
Demographics
Demographics Mount olive vs Murray provide insight into the diversity of the communities to compare.
| Demographic | Mount olive | Murray |
|---|---|---|
| Black | 120 | 6 |
| White | 145 | 86 |
| Asian | 2 | 3 |
| Hispanic | Data is updating | 2 |
| Two or More Races | Data is updating | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount olive vs Murray
- A higher percentage of Black residents are in Mount olive at 120% compared to 6% in Murray.
- Mount olive has a higher percentage of White residents at 145% compared to 86% in Murray.
- In Murray, the Asian population stands at 3%, greater than 2% in Mount olive.
- Murray has a higher percentage of Hispanic residents at 2%, compared to 0% in Mount olive.
- The percentage of residents identifying as two or more races is higher in Murray at 3%, compared to 0% in Mount olive.
- The percentage of American Indian residents is the same in both Mount olive and Murray at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount olive | Murray |
|---|---|---|
| Mental Health Not Good | 17.8% | 19.9% |
| Physical Health Not Good | 13.3% | 14.1% |
| Depression | 21.5% | 28.4% |
| Smoking | 21.3% | 22.0% |
| Binge Drinking | 13.0% | 14.0% |
| Obesity | 43.6% | 41.3% |
| Disability Percentage | 27.0% | 16.0% |
Health Statistics Comparison: Mount olive vs Murray
- In Murray, a higher percentage report poor mental health at 19.9% compared to 17.8% in Mount olive.
- Higher depression rates are seen in Murray at 28.4% versus 21.5% in Mount olive.
- Murray has a higher smoking rate at 22.0% compared to 21.3% in Mount olive.
- More residents engage in binge drinking in Murray at 14.0% compared to 13.0% in Mount olive.
- Obesity rates are higher in Mount olive at 43.6% compared to 41.3% in Murray.
- Disability percentages are higher in Mount olive at 27.0% 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 | Mount olive | Murray |
|---|---|---|
| No Schooling | 2.3% (20) | 0.9% (166) |
| High School Diploma | 23.9% (210) | 10.5% (1,833) |
| Less than High School | 14.9% (131) | 8.7% (1,531) |
| Bachelor's Degree and Higher | 13.0% (114) | 18.2% (3,185) |
Education Levels Comparison: Mount olive vs Murray
- A higher percentage of residents in Mount olive have no formal schooling at 2.3% compared to 0.9% in Murray.
- A higher percentage of residents in Mount olive hold a high school diploma at 23.9% compared to 10.5% in Murray.
- More residents in Mount olive have less than a high school education at 14.9% compared to 8.7% in Murray.
- In Murray, a larger share of residents have a bachelor's degree or higher at 18.2% compared to 13.0% in Mount olive.
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.