Demographics details for Dublin, CA vs South lebanon, OH
Population Overview
Compare main population characteristics in Dublin, CA vs South lebanon, OH.
| Data | Dublin | South lebanon |
|---|---|---|
| Population | 72,060 | 6,693 |
| Median Age | 37.1 years | 33.5 years |
| Median Income | $191,039 | $108,194 |
| Married Families | 47.0% | 36.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 4.3 | 3.2 |
Population Comparison: Dublin vs South lebanon
- In Dublin, the population is higher at 72,060, compared to 6,693 in South lebanon.
- Residents in Dublin have a higher median age of 37.1 years compared to 33.5 years in South lebanon.
- Dublin has a higher median income of $191,039 compared to $108,194 in South lebanon.
- A higher percentage of married families is found in Dublin at 47.0% compared to 36.0% in South lebanon.
- The poverty level is identical in both Dublin and South lebanon at 5%.
- The unemployment rate in Dublin is higher at 4.3%, compared to 3.2% in South lebanon.
Demographics
Demographics Dublin vs South lebanon provide insight into the diversity of the communities to compare.
| Demographic | Dublin | South lebanon |
|---|---|---|
| Black | 4 | 2 |
| White | 23 | 90 |
| Asian | 53 | 1 |
| Hispanic | 10 | 4 |
| Two or More Races | 9 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Dublin vs South lebanon
- A higher percentage of Black residents are in Dublin at 4% compared to 2% in South lebanon.
- The percentage of White residents is higher in South lebanon at 90% compared to 23% in Dublin.
- The Asian population is larger in Dublin at 53% compared to 1% in South lebanon.
- The Hispanic community is larger in Dublin at 10% compared to 4% in South lebanon.
- More residents identify as two or more races in Dublin at 9% compared to 3% in South lebanon.
- A greater percentage of American Indian residents live in Dublin at 1% compared to 0% in South lebanon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | South lebanon |
|---|---|---|
| Mental Health Not Good | 12.8% | 14.7% |
| Physical Health Not Good | 7.3% | 8.8% |
| Depression | 16.2% | 21.6% |
| Smoking | 7.4% | 13.9% |
| Binge Drinking | 16.8% | 20.1% |
| Obesity | 23.6% | 35.2% |
| Disability Percentage | 6.0% | 17.0% |
Health Statistics Comparison: Dublin vs South lebanon
- In South lebanon, a higher percentage report poor mental health at 14.7% compared to 12.8% in Dublin.
- Higher depression rates are seen in South lebanon at 21.6% versus 16.2% in Dublin.
- South lebanon has a higher smoking rate at 13.9% compared to 7.4% in Dublin.
- More residents engage in binge drinking in South lebanon at 20.1% compared to 16.8% in Dublin.
- South lebanon has higher obesity rates at 35.2% compared to 23.6% in Dublin.
- There is a higher percentage of disabled individuals in South lebanon at 17.0% compared to 6.0% in Dublin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dublin | South lebanon |
|---|---|---|
| No Schooling | 0.6% (461) | 0.1% (6) |
| High School Diploma | 5.9% (4,230) | 18.1% (1,211) |
| Less than High School | 4.3% (3,081) | 8.7% (585) |
| Bachelor's Degree and Higher | 46.5% (33,513) | 25.3% (1,690) |
Education Levels Comparison: Dublin vs South lebanon
- A higher percentage of residents in Dublin have no formal schooling at 0.6% compared to 0.1% in South lebanon.
- In South lebanon, the rate of residents with high school diplomas is higher at 18.1% compared to 5.9% in Dublin.
- The percentage of residents with less than a high school education is higher in South lebanon at 8.7%, compared to 4.3% in Dublin.
- A higher percentage of residents in Dublin hold a bachelor's degree or higher at 46.5% compared to 25.3% in South lebanon.
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.