Demographics details for Overland park, KS vs Dublin, GA
Population Overview
Compare main population characteristics in Overland park, KS vs Dublin, GA.
| Data | Overland park | Dublin |
|---|---|---|
| Population | 197,726 | 15,946 |
| Median Age | 38.4 years | 34.9 years |
| Median Income | $100,876 | $37,734 |
| Married Families | 44.0% | 25.0% |
| Poverty Level | 6% | 20% |
| Unemployment Rate | 3.3 | 3.5 |
Population Comparison: Overland park vs Dublin
- In Overland park, the population is higher at 197,726, compared to 15,946 in Dublin.
- Residents in Overland park have a higher median age of 38.4 years compared to 34.9 years in Dublin.
- Overland park has a higher median income of $100,876 compared to $37,734 in Dublin.
- A higher percentage of married families is found in Overland park at 44.0% compared to 25.0% in Dublin.
- The poverty level is higher in Dublin at 20%, compared to 6% in Overland park.
- Dublin has a higher unemployment rate at 3.5% compared to 3.3% in Overland park.
Demographics
Demographics Overland park vs Dublin provide insight into the diversity of the communities to compare.
| Demographic | Overland park | Dublin |
|---|---|---|
| Black | 5 | 66 |
| White | 74 | 29 |
| Asian | 9 | 3 |
| Hispanic | 7 | 1 |
| Two or More Races | 5 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Overland park vs Dublin
- In Dublin, the percentage of Black residents is higher at 66% compared to 5% in Overland park.
- Overland park has a higher percentage of White residents at 74% compared to 29% in Dublin.
- The Asian population is larger in Overland park at 9% compared to 3% in Dublin.
- The Hispanic community is larger in Overland park at 7% compared to 1% in Dublin.
- More residents identify as two or more races in Overland park at 5% compared to 1% in Dublin.
- The percentage of American Indian residents is the same in both Overland park and Dublin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Overland park | Dublin |
|---|---|---|
| Mental Health Not Good | 12.2% | 19.8% |
| Physical Health Not Good | 6.9% | 15.4% |
| Depression | 18.3% | 22.1% |
| Smoking | 9.6% | 22.1% |
| Binge Drinking | 19.7% | 12.3% |
| Obesity | 28.6% | 43.4% |
| Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: Overland park vs Dublin
- In Dublin, a higher percentage report poor mental health at 19.8% compared to 12.2% in Overland park.
- Higher depression rates are seen in Dublin at 22.1% versus 18.3% in Overland park.
- Dublin has a higher smoking rate at 22.1% compared to 9.6% in Overland park.
- Binge drinking is more common in Overland park at 19.7% compared to 12.3% in Dublin.
- Dublin has higher obesity rates at 43.4% compared to 28.6% in Overland park.
- There is a higher percentage of disabled individuals in Dublin at 14.0% compared to 8.0% in Overland park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Overland park | Dublin |
|---|---|---|
| No Schooling | 0.5% (897) | 1.0% (165) |
| High School Diploma | 7.1% (13,953) | 24.2% (3,864) |
| Less than High School | 3.3% (6,590) | 12.8% (2,046) |
| Bachelor's Degree and Higher | 43.1% (85,152) | 13.6% (2,168) |
Education Levels Comparison: Overland park vs Dublin
- In Dublin, a larger percentage of residents lack formal schooling at 1.0% compared to 0.5% in Overland park.
- In Dublin, the rate of residents with high school diplomas is higher at 24.2% compared to 7.1% in Overland park.
- The percentage of residents with less than a high school education is higher in Dublin at 12.8%, compared to 3.3% in Overland park.
- A higher percentage of residents in Overland park hold a bachelor's degree or higher at 43.1% compared to 13.6% in Dublin.
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.