Demographics details for Dublin, CA vs Cudahy, WI
Population Overview
Compare main population characteristics in Dublin, CA vs Cudahy, WI.
| Data | Dublin | Cudahy |
|---|---|---|
| Population | 72,060 | 17,796 |
| Median Age | 37.1 years | 42.4 years |
| Median Income | $191,039 | $66,592 |
| Married Families | 47.0% | 39.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 4.3 | 3.5 |
Population Comparison: Dublin vs Cudahy
- In Dublin, the population is higher at 72,060, compared to 17,796 in Cudahy.
- The median age in Cudahy is higher at 42.4 years, compared to 37.1 years in Dublin.
- Dublin has a higher median income of $191,039 compared to $66,592 in Cudahy.
- A higher percentage of married families is found in Dublin at 47.0% compared to 39.0% in Cudahy.
- The poverty level is higher in Cudahy at 11%, compared to 5% in Dublin.
- The unemployment rate in Dublin is higher at 4.3%, compared to 3.5% in Cudahy.
Demographics
Demographics Dublin vs Cudahy provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Cudahy |
|---|---|---|
| Black | 4 | 3 |
| White | 23 | 77 |
| Asian | 53 | 2 |
| Hispanic | 10 | 9 |
| Two or More Races | 9 | 9 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Dublin vs Cudahy
- A higher percentage of Black residents are in Dublin at 4% compared to 3% in Cudahy.
- The percentage of White residents is higher in Cudahy at 77% compared to 23% in Dublin.
- The Asian population is larger in Dublin at 53% compared to 2% in Cudahy.
- The Hispanic community is larger in Dublin at 10% compared to 9% in Cudahy.
- Both Dublin and Cudahy have the same percentage of residents identifying as two or more races at 9%.
- A greater percentage of American Indian residents live in Dublin at 1% compared to 0% in Cudahy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Cudahy |
|---|---|---|
| Mental Health Not Good | 12.8% | 15.5% |
| Physical Health Not Good | 7.3% | 9.6% |
| Depression | 16.2% | 24.3% |
| Smoking | 7.4% | 16.4% |
| Binge Drinking | 16.8% | 26.4% |
| Obesity | 23.6% | 34.2% |
| Disability Percentage | 6.0% | 16.0% |
Health Statistics Comparison: Dublin vs Cudahy
- In Cudahy, a higher percentage report poor mental health at 15.5% compared to 12.8% in Dublin.
- Higher depression rates are seen in Cudahy at 24.3% versus 16.2% in Dublin.
- Cudahy has a higher smoking rate at 16.4% compared to 7.4% in Dublin.
- More residents engage in binge drinking in Cudahy at 26.4% compared to 16.8% in Dublin.
- Cudahy has higher obesity rates at 34.2% compared to 23.6% in Dublin.
- There is a higher percentage of disabled individuals in Cudahy at 16.0% 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 | Cudahy |
|---|---|---|
| No Schooling | 0.6% (461) | 0.9% (166) |
| High School Diploma | 5.9% (4,230) | 25.1% (4,460) |
| Less than High School | 4.3% (3,081) | 9.9% (1,768) |
| Bachelor's Degree and Higher | 46.5% (33,513) | 21.0% (3,730) |
Education Levels Comparison: Dublin vs Cudahy
- In Cudahy, a larger percentage of residents lack formal schooling at 0.9% compared to 0.6% in Dublin.
- In Cudahy, the rate of residents with high school diplomas is higher at 25.1% compared to 5.9% in Dublin.
- The percentage of residents with less than a high school education is higher in Cudahy at 9.9%, 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 21.0% in Cudahy.
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.