Demographics details for Dublin, CA vs Whiting, KS
Population Overview
Compare main population characteristics in Dublin, CA vs Whiting, KS.
| Data | Dublin | Whiting |
|---|---|---|
| Population | 72,060 | 195 |
| Median Age | 37.1 years | 33.7 years |
| Median Income | $191,039 | $52,000 |
| Married Families | 47.0% | 47.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 4.3 | Data is updating |
Population Comparison: Dublin vs Whiting
- In Dublin, the population is higher at 72,060, compared to 195 in Whiting.
- Residents in Dublin have a higher median age of 37.1 years compared to 33.7 years in Whiting.
- Dublin has a higher median income of $191,039 compared to $52,000 in Whiting.
- The percentage of married families is the same in both Dublin and Whiting at 47.0%.
- Dublin has a higher poverty level at 5% compared to 0% in Whiting.
- The unemployment rate in Dublin is higher at 4.3%, compared to 0.0% in Whiting.
Demographics
Demographics Dublin vs Whiting provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Whiting |
|---|---|---|
| Black | 4 | Data is updating |
| White | 23 | 87 |
| Asian | 53 | Data is updating |
| Hispanic | 10 | 2 |
| Two or More Races | 9 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Dublin vs Whiting
- A higher percentage of Black residents are in Dublin at 4% compared to 0% in Whiting.
- The percentage of White residents is higher in Whiting at 87% compared to 23% in Dublin.
- The Asian population is larger in Dublin at 53% compared to 0% in Whiting.
- The Hispanic community is larger in Dublin at 10% compared to 2% in Whiting.
- The percentage of residents identifying as two or more races is higher in Whiting at 11%, compared to 9% in Dublin.
- A greater percentage of American Indian residents live in Dublin at 1% compared to 0% in Whiting.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Whiting |
|---|---|---|
| Mental Health Not Good | 12.8% | 16.1% |
| Physical Health Not Good | 7.3% | 9.9% |
| Depression | 16.2% | 22.9% |
| Smoking | 7.4% | 17.9% |
| Binge Drinking | 16.8% | 19.3% |
| Obesity | 23.6% | 39.3% |
| Disability Percentage | 6.0% | 13.0% |
Health Statistics Comparison: Dublin vs Whiting
- In Whiting, a higher percentage report poor mental health at 16.1% compared to 12.8% in Dublin.
- Higher depression rates are seen in Whiting at 22.9% versus 16.2% in Dublin.
- Whiting has a higher smoking rate at 17.9% compared to 7.4% in Dublin.
- More residents engage in binge drinking in Whiting at 19.3% compared to 16.8% in Dublin.
- Whiting has higher obesity rates at 39.3% compared to 23.6% in Dublin.
- There is a higher percentage of disabled individuals in Whiting at 13.0% 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 | Whiting |
|---|---|---|
| No Schooling | 0.6% (461) | 0.0% (Data is updating) |
| High School Diploma | 5.9% (4,230) | 28.7% (56) |
| Less than High School | 4.3% (3,081) | 9.2% (18) |
| Bachelor's Degree and Higher | 46.5% (33,513) | 14.9% (29) |
Education Levels Comparison: Dublin vs Whiting
- A higher percentage of residents in Dublin have no formal schooling at 0.6% compared to 0.0% in Whiting.
- In Whiting, the rate of residents with high school diplomas is higher at 28.7% compared to 5.9% in Dublin.
- The percentage of residents with less than a high school education is higher in Whiting at 9.2%, 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 14.9% in Whiting.
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.