Demographics details for Kingsland, TX vs Dublin, CA
Population Overview
Compare main population characteristics in Kingsland, TX vs Dublin, CA.
| Data | Kingsland | Dublin |
|---|---|---|
| Population | 7,075 | 72,060 |
| Median Age | 52.3 years | 37.1 years |
| Median Income | $54,366 | $191,039 |
| Married Families | 43.0% | 47.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Kingsland vs Dublin
- The population in Dublin is higher at 72,060, compared to 7,075 in Kingsland.
- Residents in Kingsland have a higher median age of 52.3 years compared to 37.1 years in Dublin.
- Dublin has a higher median income of $191,039, compared to $54,366 in Kingsland.
- In Dublin, the percentage of married families is higher at 47.0%, compared to 43.0% in Kingsland.
- Kingsland has a higher poverty level at 9% compared to 5% in Dublin.
- Dublin has a higher unemployment rate at 4.3% compared to 3.5% in Kingsland.
Demographics
Demographics Kingsland vs Dublin provide insight into the diversity of the communities to compare.
| Demographic | Kingsland | Dublin |
|---|---|---|
| Black | 1 | 4 |
| White | 67 | 23 |
| Asian | 1 | 53 |
| Hispanic | 19 | 10 |
| Two or More Races | 12 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Kingsland vs Dublin
- In Dublin, the percentage of Black residents is higher at 4% compared to 1% in Kingsland.
- Kingsland has a higher percentage of White residents at 67% compared to 23% in Dublin.
- In Dublin, the Asian population stands at 53%, greater than 1% in Kingsland.
- The Hispanic community is larger in Kingsland at 19% compared to 10% in Dublin.
- More residents identify as two or more races in Kingsland at 12% compared to 9% in Dublin.
- In Dublin, the percentage of American Indian residents is higher at 1%, compared to 0% in Kingsland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingsland | Dublin |
|---|---|---|
| Mental Health Not Good | 20.1% | 12.8% |
| Physical Health Not Good | 14.1% | 7.3% |
| Depression | 26.8% | 16.2% |
| Smoking | 21.9% | 7.4% |
| Binge Drinking | 17.9% | 16.8% |
| Obesity | 38.2% | 23.6% |
| Disability Percentage | 24.0% | 6.0% |
Health Statistics Comparison: Kingsland vs Dublin
- More residents in Kingsland report poor mental health at 20.1% compared to 12.8% in Dublin.
- Depression is more prevalent in Kingsland at 26.8% compared to 16.2% in Dublin.
- Smoking is more prevalent in Kingsland at 21.9% compared to 7.4% in Dublin.
- Binge drinking is more common in Kingsland at 17.9% compared to 16.8% in Dublin.
- Obesity rates are higher in Kingsland at 38.2% compared to 23.6% in Dublin.
- Disability percentages are higher in Kingsland at 24.0% 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 | Kingsland | Dublin |
|---|---|---|
| No Schooling | 1.3% (94) | 0.6% (461) |
| High School Diploma | 19.3% (1,363) | 5.9% (4,230) |
| Less than High School | 22.2% (1,568) | 4.3% (3,081) |
| Bachelor's Degree and Higher | 18.7% (1,325) | 46.5% (33,513) |
Education Levels Comparison: Kingsland vs Dublin
- A higher percentage of residents in Kingsland have no formal schooling at 1.3% compared to 0.6% in Dublin.
- A higher percentage of residents in Kingsland hold a high school diploma at 19.3% compared to 5.9% in Dublin.
- More residents in Kingsland have less than a high school education at 22.2% compared to 4.3% in Dublin.
- In Dublin, a larger share of residents have a bachelor's degree or higher at 46.5% compared to 18.7% in Kingsland.
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.