Demographics details for Dublin, GA vs Lost hills, CA
Population Overview
Compare main population characteristics in Dublin, GA vs Lost hills, CA.
| Data | Dublin | Lost hills |
|---|---|---|
| Population | 15,946 | 1,754 |
| Median Age | 34.9 years | 23.8 years |
| Median Income | $37,734 | $41,250 |
| Married Families | 25.0% | 32.0% |
| Poverty Level | 20% | 22% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Dublin vs Lost hills
- In Dublin, the population is higher at 15,946, compared to 1,754 in Lost hills.
- Residents in Dublin have a higher median age of 34.9 years compared to 23.8 years in Lost hills.
- Lost hills has a higher median income of $41,250, compared to $37,734 in Dublin.
- In Lost hills, the percentage of married families is higher at 32.0%, compared to 25.0% in Dublin.
- The poverty level is higher in Lost hills at 22%, compared to 20% in Dublin.
- Lost hills has a higher unemployment rate at 5.2% compared to 3.5% in Dublin.
Demographics
Demographics Dublin vs Lost hills provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Lost hills |
|---|---|---|
| Black | 66 | Data is updating |
| White | 29 | -35 |
| Asian | 3 | 1 |
| Hispanic | 1 | 97 |
| Two or More Races | 1 | 37 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dublin vs Lost hills
- A higher percentage of Black residents are in Dublin at 66% compared to 0% in Lost hills.
- Dublin has a higher percentage of White residents at 29% compared to -35% in Lost hills.
- The Asian population is larger in Dublin at 3% compared to 1% in Lost hills.
- Lost hills has a higher percentage of Hispanic residents at 97%, compared to 1% in Dublin.
- The percentage of residents identifying as two or more races is higher in Lost hills at 37%, compared to 1% in Dublin.
- The percentage of American Indian residents is the same in both Dublin and Lost hills at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Lost hills |
|---|---|---|
| Mental Health Not Good | 19.8% | 19.6% |
| Physical Health Not Good | 15.4% | 19.8% |
| Depression | 22.1% | 18.9% |
| Smoking | 22.1% | 20.9% |
| Binge Drinking | 12.3% | 13.6% |
| Obesity | 43.4% | 43.3% |
| Disability Percentage | 14.0% | 4.0% |
Health Statistics Comparison: Dublin vs Lost hills
- More residents in Dublin report poor mental health at 19.8% compared to 19.6% in Lost hills.
- Depression is more prevalent in Dublin at 22.1% compared to 18.9% in Lost hills.
- Smoking is more prevalent in Dublin at 22.1% compared to 20.9% in Lost hills.
- More residents engage in binge drinking in Lost hills at 13.6% compared to 12.3% in Dublin.
- Obesity rates are higher in Dublin at 43.4% compared to 43.3% in Lost hills.
- Disability percentages are higher in Dublin at 14.0% compared to 4.0% in Lost hills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dublin | Lost hills |
|---|---|---|
| No Schooling | 1.0% (165) | 3.7% (65) |
| High School Diploma | 24.2% (3,864) | 10.0% (175) |
| Less than High School | 12.8% (2,046) | 64.7% (1,134) |
| Bachelor's Degree and Higher | 13.6% (2,168) | 0.9% (16) |
Education Levels Comparison: Dublin vs Lost hills
- In Lost hills, a larger percentage of residents lack formal schooling at 3.7% compared to 1.0% in Dublin.
- A higher percentage of residents in Dublin hold a high school diploma at 24.2% compared to 10.0% in Lost hills.
- The percentage of residents with less than a high school education is higher in Lost hills at 64.7%, compared to 12.8% in Dublin.
- A higher percentage of residents in Dublin hold a bachelor's degree or higher at 13.6% compared to 0.9% in Lost hills.
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.