Demographics details for Waverly, TN vs Dublin, CA
Population Overview
Compare main population characteristics in Waverly, TN vs Dublin, CA.
| Data | Waverly | Dublin |
|---|---|---|
| Population | 4,297 | 72,060 |
| Median Age | 46.7 years | 37.1 years |
| Median Income | $43,750 | $191,039 |
| Married Families | 35.0% | 47.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 4.5 | 4.3 |
Population Comparison: Waverly vs Dublin
- The population in Dublin is higher at 72,060, compared to 4,297 in Waverly.
- Residents in Waverly have a higher median age of 46.7 years compared to 37.1 years in Dublin.
- Dublin has a higher median income of $191,039, compared to $43,750 in Waverly.
- In Dublin, the percentage of married families is higher at 47.0%, compared to 35.0% in Waverly.
- Waverly has a higher poverty level at 12% compared to 5% in Dublin.
- The unemployment rate in Waverly is higher at 4.5%, compared to 4.3% in Dublin.
Demographics
Demographics Waverly vs Dublin provide insight into the diversity of the communities to compare.
| Demographic | Waverly | Dublin |
|---|---|---|
| Black | 2 | 4 |
| White | 91 | 23 |
| Asian | Data is updating | 53 |
| Hispanic | 2 | 10 |
| Two or More Races | 5 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Waverly vs Dublin
- In Dublin, the percentage of Black residents is higher at 4% compared to 2% in Waverly.
- Waverly has a higher percentage of White residents at 91% compared to 23% in Dublin.
- In Dublin, the Asian population stands at 53%, greater than 0% in Waverly.
- Dublin has a higher percentage of Hispanic residents at 10%, compared to 2% in Waverly.
- The percentage of residents identifying as two or more races is higher in Dublin at 9%, compared to 5% in Waverly.
- In Dublin, the percentage of American Indian residents is higher at 1%, compared to 0% in Waverly.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waverly | Dublin |
|---|---|---|
| Mental Health Not Good | 19.9% | 12.8% |
| Physical Health Not Good | 13.9% | 7.3% |
| Depression | 28.8% | 16.2% |
| Smoking | 23.6% | 7.4% |
| Binge Drinking | 15.6% | 16.8% |
| Obesity | 37.8% | 23.6% |
| Disability Percentage | 19.0% | 6.0% |
Health Statistics Comparison: Waverly vs Dublin
- More residents in Waverly report poor mental health at 19.9% compared to 12.8% in Dublin.
- Depression is more prevalent in Waverly at 28.8% compared to 16.2% in Dublin.
- Smoking is more prevalent in Waverly at 23.6% compared to 7.4% in Dublin.
- More residents engage in binge drinking in Dublin at 16.8% compared to 15.6% in Waverly.
- Obesity rates are higher in Waverly at 37.8% compared to 23.6% in Dublin.
- Disability percentages are higher in Waverly at 19.0% 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 | Waverly | Dublin |
|---|---|---|
| No Schooling | 1.0% (41) | 0.6% (461) |
| High School Diploma | 18.4% (792) | 5.9% (4,230) |
| Less than High School | 21.9% (943) | 4.3% (3,081) |
| Bachelor's Degree and Higher | 16.5% (709) | 46.5% (33,513) |
Education Levels Comparison: Waverly vs Dublin
- A higher percentage of residents in Waverly have no formal schooling at 1.0% compared to 0.6% in Dublin.
- A higher percentage of residents in Waverly hold a high school diploma at 18.4% compared to 5.9% in Dublin.
- More residents in Waverly have less than a high school education at 21.9% 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 16.5% in Waverly.
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.