Demographics details for Mount olive, MS vs Wanette, OK
Population Overview
Compare main population characteristics in Mount olive, MS vs Wanette, OK.
| Data | Mount olive | Wanette |
|---|---|---|
| Population | 878 | 281 |
| Median Age | 31.7 years | 40.8 years |
| Median Income | $53,947 | $39,063 |
| Married Families | 49.0% | 24.0% |
| Poverty Level | 18% | 15% |
| Unemployment Rate | 6.5 | 4.5 |
Population Comparison: Mount olive vs Wanette
- In Mount olive, the population is higher at 878, compared to 281 in Wanette.
- The median age in Wanette is higher at 40.8 years, compared to 31.7 years in Mount olive.
- Mount olive has a higher median income of $53,947 compared to $39,063 in Wanette.
- A higher percentage of married families is found in Mount olive at 49.0% compared to 24.0% in Wanette.
- Mount olive has a higher poverty level at 18% compared to 15% in Wanette.
- The unemployment rate in Mount olive is higher at 6.5%, compared to 4.5% in Wanette.
Demographics
Demographics Mount olive vs Wanette provide insight into the diversity of the communities to compare.
| Demographic | Mount olive | Wanette |
|---|---|---|
| Black | 120 | Data is updating |
| White | 145 | 81 |
| Asian | 2 | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | 14 |
Demographics Comparison: Mount olive vs Wanette
- A higher percentage of Black residents are in Mount olive at 120% compared to 0% in Wanette.
- Mount olive has a higher percentage of White residents at 145% compared to 81% in Wanette.
- The Asian population is larger in Mount olive at 2% compared to 0% in Wanette.
- The percentage of Hispanic residents is the same in both Mount olive and Wanette at 0%.
- The percentage of residents identifying as two or more races is higher in Wanette at 5%, compared to 0% in Mount olive.
- In Wanette, the percentage of American Indian residents is higher at 14%, compared to 0% in Mount olive.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount olive | Wanette |
|---|---|---|
| Mental Health Not Good | 17.8% | 20.6% |
| Physical Health Not Good | 13.3% | 14.1% |
| Depression | 21.5% | 26.2% |
| Smoking | 21.3% | 23.1% |
| Binge Drinking | 13.0% | 14.6% |
| Obesity | 43.6% | 42.4% |
| Disability Percentage | 27.0% | 31.0% |
Health Statistics Comparison: Mount olive vs Wanette
- In Wanette, a higher percentage report poor mental health at 20.6% compared to 17.8% in Mount olive.
- Higher depression rates are seen in Wanette at 26.2% versus 21.5% in Mount olive.
- Wanette has a higher smoking rate at 23.1% compared to 21.3% in Mount olive.
- More residents engage in binge drinking in Wanette at 14.6% compared to 13.0% in Mount olive.
- Obesity rates are higher in Mount olive at 43.6% compared to 42.4% in Wanette.
- There is a higher percentage of disabled individuals in Wanette at 31.0% compared to 27.0% in Mount olive.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount olive | Wanette |
|---|---|---|
| No Schooling | 2.3% (20) | 1.8% (5) |
| High School Diploma | 23.9% (210) | 22.4% (63) |
| Less than High School | 14.9% (131) | 21.4% (60) |
| Bachelor's Degree and Higher | 13.0% (114) | 6.8% (19) |
Education Levels Comparison: Mount olive vs Wanette
- A higher percentage of residents in Mount olive have no formal schooling at 2.3% compared to 1.8% in Wanette.
- A higher percentage of residents in Mount olive hold a high school diploma at 23.9% compared to 22.4% in Wanette.
- The percentage of residents with less than a high school education is higher in Wanette at 21.4%, 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 6.8% in Wanette.
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.