Demographics details for Wiggins, MS vs Dublin, CA
Population Overview
Compare main population characteristics in Wiggins, MS vs Dublin, CA.
| Data | Wiggins | Dublin |
|---|---|---|
| Population | 4,266 | 72,060 |
| Median Age | 38.7 years | 37.1 years |
| Median Income | $44,250 | $191,039 |
| Married Families | 24.0% | 47.0% |
| Poverty Level | 14% | 5% |
| Unemployment Rate | 4.7 | 4.3 |
Population Comparison: Wiggins vs Dublin
- The population in Dublin is higher at 72,060, compared to 4,266 in Wiggins.
- Residents in Wiggins have a higher median age of 38.7 years compared to 37.1 years in Dublin.
- Dublin has a higher median income of $191,039, compared to $44,250 in Wiggins.
- In Dublin, the percentage of married families is higher at 47.0%, compared to 24.0% in Wiggins.
- Wiggins has a higher poverty level at 14% compared to 5% in Dublin.
- The unemployment rate in Wiggins is higher at 4.7%, compared to 4.3% in Dublin.
Demographics
Demographics Wiggins vs Dublin provide insight into the diversity of the communities to compare.
| Demographic | Wiggins | Dublin |
|---|---|---|
| Black | 37 | 4 |
| White | 59 | 23 |
| Asian | Data is updating | 53 |
| Hispanic | 2 | 10 |
| Two or More Races | 2 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Wiggins vs Dublin
- A higher percentage of Black residents are in Wiggins at 37% compared to 4% in Dublin.
- Wiggins has a higher percentage of White residents at 59% compared to 23% in Dublin.
- In Dublin, the Asian population stands at 53%, greater than 0% in Wiggins.
- Dublin has a higher percentage of Hispanic residents at 10%, compared to 2% in Wiggins.
- The percentage of residents identifying as two or more races is higher in Dublin at 9%, compared to 2% in Wiggins.
- In Dublin, the percentage of American Indian residents is higher at 1%, compared to 0% in Wiggins.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wiggins | Dublin |
|---|---|---|
| Mental Health Not Good | 18.5% | 12.8% |
| Physical Health Not Good | 14.5% | 7.3% |
| Depression | 23.5% | 16.2% |
| Smoking | 24.3% | 7.4% |
| Binge Drinking | 13.6% | 16.8% |
| Obesity | 43.2% | 23.6% |
| Disability Percentage | 31.0% | 6.0% |
Health Statistics Comparison: Wiggins vs Dublin
- More residents in Wiggins report poor mental health at 18.5% compared to 12.8% in Dublin.
- Depression is more prevalent in Wiggins at 23.5% compared to 16.2% in Dublin.
- Smoking is more prevalent in Wiggins at 24.3% compared to 7.4% in Dublin.
- More residents engage in binge drinking in Dublin at 16.8% compared to 13.6% in Wiggins.
- Obesity rates are higher in Wiggins at 43.2% compared to 23.6% in Dublin.
- Disability percentages are higher in Wiggins at 31.0% 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 | Wiggins | Dublin |
|---|---|---|
| No Schooling | 1.8% (78) | 0.6% (461) |
| High School Diploma | 16.7% (713) | 5.9% (4,230) |
| Less than High School | 20.0% (852) | 4.3% (3,081) |
| Bachelor's Degree and Higher | 8.4% (357) | 46.5% (33,513) |
Education Levels Comparison: Wiggins vs Dublin
- A higher percentage of residents in Wiggins have no formal schooling at 1.8% compared to 0.6% in Dublin.
- A higher percentage of residents in Wiggins hold a high school diploma at 16.7% compared to 5.9% in Dublin.
- More residents in Wiggins have less than a high school education at 20.0% 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 8.4% in Wiggins.
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.