Demographics details for Dublin, CA vs Midlothian, VA
Population Overview
Compare main population characteristics in Dublin, CA vs Midlothian, VA.
Data | Dublin | Midlothian |
---|---|---|
Population | 72,060 | 72,302 |
Median Age | 37.1 years | 40.6 years |
Median Income | $191,039 | $101,998 |
Married Families | 47.0% | 45.0% |
Poverty Level | 5% | 5% |
Unemployment Rate | 4.3 | 3.5 |
Population Comparison: Dublin vs Midlothian
- The population in Midlothian is higher at 72,302, compared to 72,060 in Dublin.
- The median age in Midlothian is higher at 40.6 years, compared to 37.1 years in Dublin.
- Dublin has a higher median income of $191,039 compared to $101,998 in Midlothian.
- A higher percentage of married families is found in Dublin at 47.0% compared to 45.0% in Midlothian.
- The poverty level is identical in both Dublin and Midlothian at 5%.
- The unemployment rate in Dublin is higher at 4.3%, compared to 3.5% in Midlothian.
Demographics
Demographics Dublin vs Midlothian provide insight into the diversity of the communities to compare.
Demographic | Dublin | Midlothian |
---|---|---|
Black | 4 | 16 |
White | 23 | 69 |
Asian | 53 | 4 |
Hispanic | 10 | 7 |
Two or More Races | 9 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Dublin vs Midlothian
- In Midlothian, the percentage of Black residents is higher at 16% compared to 4% in Dublin.
- The percentage of White residents is higher in Midlothian at 69% compared to 23% in Dublin.
- The Asian population is larger in Dublin at 53% compared to 4% in Midlothian.
- The Hispanic community is larger in Dublin at 10% compared to 7% in Midlothian.
- More residents identify as two or more races in Dublin at 9% compared to 4% in Midlothian.
- A greater percentage of American Indian residents live in Dublin at 1% compared to 0% in Midlothian.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dublin | Midlothian |
---|---|---|
Mental Health Not Good | 12.8% | Data is updating% |
Physical Health Not Good | 7.3% | Data is updating% |
Depression | 16.2% | Data is updating% |
Smoking | 7.4% | Data is updating% |
Binge Drinking | 16.8% | Data is updating% |
Obesity | 23.6% | Data is updating% |
Disability Percentage | 6.0% | 10.0% |
Health Statistics Comparison: Dublin vs Midlothian
- More residents in Dublin report poor mental health at 12.8% compared to 0.0% in Midlothian.
- Depression is more prevalent in Dublin at 16.2% compared to 0.0% in Midlothian.
- Smoking is more prevalent in Dublin at 7.4% compared to 0.0% in Midlothian.
- Binge drinking is more common in Dublin at 16.8% compared to 0.0% in Midlothian.
- Obesity rates are higher in Dublin at 23.6% compared to 0.0% in Midlothian.
- There is a higher percentage of disabled individuals in Midlothian at 10.0% 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 | Midlothian |
---|---|---|
No Schooling | 0.6% (461) | 0.3% (227) |
High School Diploma | 5.9% (4,230) | 8.3% (5,974) |
Less than High School | 4.3% (3,081) | 4.8% (3,449) |
Bachelor's Degree and Higher | 46.5% (33,513) | 40.5% (29,291) |
Education Levels Comparison: Dublin vs Midlothian
- A higher percentage of residents in Dublin have no formal schooling at 0.6% compared to 0.3% in Midlothian.
- In Midlothian, the rate of residents with high school diplomas is higher at 8.3% compared to 5.9% in Dublin.
- The percentage of residents with less than a high school education is higher in Midlothian at 4.8%, 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 40.5% in Midlothian.
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.