Demographics details for Mount olive, MS vs Wynne, AR
Population Overview
Compare main population characteristics in Mount olive, MS vs Wynne, AR.
| Data | Mount olive | Wynne |
|---|---|---|
| Population | 878 | 8,208 |
| Median Age | 31.7 years | 39.3 years |
| Median Income | $53,947 | $39,280 |
| Married Families | 49.0% | 31.0% |
| Poverty Level | 18% | 20% |
| Unemployment Rate | 6.5 | 4.5 |
Population Comparison: Mount olive vs Wynne
- The population in Wynne is higher at 8,208, compared to 878 in Mount olive.
- The median age in Wynne is higher at 39.3 years, compared to 31.7 years in Mount olive.
- Mount olive has a higher median income of $53,947 compared to $39,280 in Wynne.
- A higher percentage of married families is found in Mount olive at 49.0% compared to 31.0% in Wynne.
- The poverty level is higher in Wynne at 20%, compared to 18% in Mount olive.
- The unemployment rate in Mount olive is higher at 6.5%, compared to 4.5% in Wynne.
Demographics
Demographics Mount olive vs Wynne provide insight into the diversity of the communities to compare.
| Demographic | Mount olive | Wynne |
|---|---|---|
| Black | 120 | 33 |
| White | 145 | 55 |
| Asian | 2 | Data is updating |
| Hispanic | Data is updating | 4 |
| Two or More Races | Data is updating | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mount olive vs Wynne
- A higher percentage of Black residents are in Mount olive at 120% compared to 33% in Wynne.
- Mount olive has a higher percentage of White residents at 145% compared to 55% in Wynne.
- The Asian population is larger in Mount olive at 2% compared to 0% in Wynne.
- Wynne has a higher percentage of Hispanic residents at 4%, compared to 0% in Mount olive.
- The percentage of residents identifying as two or more races is higher in Wynne at 7%, compared to 0% in Mount olive.
- In Wynne, the percentage of American Indian residents is higher at 1%, compared to 0% in Mount olive.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount olive | Wynne |
|---|---|---|
| Mental Health Not Good | 17.8% | 20.1% |
| Physical Health Not Good | 13.3% | 14.5% |
| Depression | 21.5% | 25.4% |
| Smoking | 21.3% | 23.2% |
| Binge Drinking | 13.0% | 13.7% |
| Obesity | 43.6% | 43.7% |
| Disability Percentage | 27.0% | 18.0% |
Health Statistics Comparison: Mount olive vs Wynne
- In Wynne, a higher percentage report poor mental health at 20.1% compared to 17.8% in Mount olive.
- Higher depression rates are seen in Wynne at 25.4% versus 21.5% in Mount olive.
- Wynne has a higher smoking rate at 23.2% compared to 21.3% in Mount olive.
- More residents engage in binge drinking in Wynne at 13.7% compared to 13.0% in Mount olive.
- Wynne has higher obesity rates at 43.7% compared to 43.6% in Mount olive.
- Disability percentages are higher in Mount olive at 27.0% compared to 18.0% in Wynne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount olive | Wynne |
|---|---|---|
| No Schooling | 2.3% (20) | 1.4% (116) |
| High School Diploma | 23.9% (210) | 25.0% (2,055) |
| Less than High School | 14.9% (131) | 19.6% (1,610) |
| Bachelor's Degree and Higher | 13.0% (114) | 11.0% (905) |
Education Levels Comparison: Mount olive vs Wynne
- A higher percentage of residents in Mount olive have no formal schooling at 2.3% compared to 1.4% in Wynne.
- In Wynne, the rate of residents with high school diplomas is higher at 25.0% compared to 23.9% in Mount olive.
- The percentage of residents with less than a high school education is higher in Wynne at 19.6%, compared to 14.9% in Mount olive.
- A higher percentage of residents in Mount olive hold a bachelor's degree or higher at 13.0% compared to 11.0% in Wynne.
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.