Demographics details for Dunedin, FL vs Mount olive, MS
Population Overview
Compare main population characteristics in Dunedin, FL vs Mount olive, MS.
| Data | Dunedin | Mount olive |
|---|---|---|
| Population | 36,059 | 878 |
| Median Age | 57.8 years | 31.7 years |
| Median Income | $63,824 | $53,947 |
| Married Families | 45.0% | 49.0% |
| Poverty Level | 6% | 18% |
| Unemployment Rate | 3.3 | 6.5 |
Population Comparison: Dunedin vs Mount olive
- In Dunedin, the population is higher at 36,059, compared to 878 in Mount olive.
- Residents in Dunedin have a higher median age of 57.8 years compared to 31.7 years in Mount olive.
- Dunedin has a higher median income of $63,824 compared to $53,947 in Mount olive.
- In Mount olive, the percentage of married families is higher at 49.0%, compared to 45.0% in Dunedin.
- The poverty level is higher in Mount olive at 18%, compared to 6% in Dunedin.
- Mount olive has a higher unemployment rate at 6.5% compared to 3.3% in Dunedin.
Demographics
Demographics Dunedin vs Mount olive provide insight into the diversity of the communities to compare.
| Demographic | Dunedin | Mount olive |
|---|---|---|
| Black | 4 | 120 |
| White | 83 | 145 |
| Asian | 1 | 2 |
| Hispanic | 6 | Data is updating |
| Two or More Races | 6 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dunedin vs Mount olive
- In Mount olive, the percentage of Black residents is higher at 120% compared to 4% in Dunedin.
- The percentage of White residents is higher in Mount olive at 145% compared to 83% in Dunedin.
- In Mount olive, the Asian population stands at 2%, greater than 1% in Dunedin.
- The Hispanic community is larger in Dunedin at 6% compared to 0% in Mount olive.
- More residents identify as two or more races in Dunedin at 6% compared to 0% in Mount olive.
- The percentage of American Indian residents is the same in both Dunedin and Mount olive at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dunedin | Mount olive |
|---|---|---|
| Mental Health Not Good | 16.2% | 17.8% |
| Physical Health Not Good | 10.2% | 13.3% |
| Depression | 19.7% | 21.5% |
| Smoking | 19.3% | 21.3% |
| Binge Drinking | 18.2% | 13.0% |
| Obesity | 26.7% | 43.6% |
| Disability Percentage | 17.0% | 27.0% |
Health Statistics Comparison: Dunedin vs Mount olive
- In Mount olive, a higher percentage report poor mental health at 17.8% compared to 16.2% in Dunedin.
- Higher depression rates are seen in Mount olive at 21.5% versus 19.7% in Dunedin.
- Mount olive has a higher smoking rate at 21.3% compared to 19.3% in Dunedin.
- Binge drinking is more common in Dunedin at 18.2% compared to 13.0% in Mount olive.
- Mount olive has higher obesity rates at 43.6% compared to 26.7% in Dunedin.
- There is a higher percentage of disabled individuals in Mount olive at 27.0% compared to 17.0% in Dunedin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dunedin | Mount olive |
|---|---|---|
| No Schooling | 0.3% (117) | 2.3% (20) |
| High School Diploma | 19.6% (7,051) | 23.9% (210) |
| Less than High School | 7.7% (2,791) | 14.9% (131) |
| Bachelor's Degree and Higher | 30.1% (10,854) | 13.0% (114) |
Education Levels Comparison: Dunedin vs Mount olive
- In Mount olive, a larger percentage of residents lack formal schooling at 2.3% compared to 0.3% in Dunedin.
- In Mount olive, the rate of residents with high school diplomas is higher at 23.9% compared to 19.6% in Dunedin.
- The percentage of residents with less than a high school education is higher in Mount olive at 14.9%, compared to 7.7% in Dunedin.
- A higher percentage of residents in Dunedin hold a bachelor's degree or higher at 30.1% 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.