Demographics details for Dublin, GA vs Lashmeet, WV
Population Overview
Compare main population characteristics in Dublin, GA vs Lashmeet, WV.
| Data | Dublin | Lashmeet |
|---|---|---|
| Population | 15,946 | 704 |
| Median Age | 34.9 years | 61.1 years |
| Median Income | $37,734 | $43,701 |
| Married Families | 25.0% | 38.0% |
| Poverty Level | 20% | Data is updating |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Dublin vs Lashmeet
- In Dublin, the population is higher at 15,946, compared to 704 in Lashmeet.
- The median age in Lashmeet is higher at 61.1 years, compared to 34.9 years in Dublin.
- Lashmeet has a higher median income of $43,701, compared to $37,734 in Dublin.
- In Lashmeet, the percentage of married families is higher at 38.0%, compared to 25.0% in Dublin.
- Dublin has a higher poverty level at 20% compared to 0% in Lashmeet.
- Lashmeet has a higher unemployment rate at 4.0% compared to 3.5% in Dublin.
Demographics
Demographics Dublin vs Lashmeet provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Lashmeet |
|---|---|---|
| Black | 66 | Data is updating |
| White | 29 | 100 |
| Asian | 3 | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 1 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dublin vs Lashmeet
- A higher percentage of Black residents are in Dublin at 66% compared to 0% in Lashmeet.
- The percentage of White residents is higher in Lashmeet at 100% compared to 29% in Dublin.
- The Asian population is larger in Dublin at 3% compared to 0% in Lashmeet.
- The Hispanic community is larger in Dublin at 1% compared to 0% in Lashmeet.
- More residents identify as two or more races in Dublin at 1% compared to 0% in Lashmeet.
- The percentage of American Indian residents is the same in both Dublin and Lashmeet at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Lashmeet |
|---|---|---|
| Mental Health Not Good | 19.8% | 25.1% |
| Physical Health Not Good | 15.4% | 19.0% |
| Depression | 22.1% | 32.6% |
| Smoking | 22.1% | 27.7% |
| Binge Drinking | 12.3% | 12.2% |
| Obesity | 43.4% | 45.6% |
| Disability Percentage | 14.0% | 22.0% |
Health Statistics Comparison: Dublin vs Lashmeet
- In Lashmeet, a higher percentage report poor mental health at 25.1% compared to 19.8% in Dublin.
- Higher depression rates are seen in Lashmeet at 32.6% versus 22.1% in Dublin.
- Lashmeet has a higher smoking rate at 27.7% compared to 22.1% in Dublin.
- Binge drinking is more common in Dublin at 12.3% compared to 12.2% in Lashmeet.
- Lashmeet has higher obesity rates at 45.6% compared to 43.4% in Dublin.
- There is a higher percentage of disabled individuals in Lashmeet at 22.0% compared to 14.0% in Dublin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dublin | Lashmeet |
|---|---|---|
| No Schooling | 1.0% (165) | 0.0% (Data is updating) |
| High School Diploma | 24.2% (3,864) | 25.3% (178) |
| Less than High School | 12.8% (2,046) | 47.2% (332) |
| Bachelor's Degree and Higher | 13.6% (2,168) | 5.8% (41) |
Education Levels Comparison: Dublin vs Lashmeet
- A higher percentage of residents in Dublin have no formal schooling at 1.0% compared to 0.0% in Lashmeet.
- In Lashmeet, the rate of residents with high school diplomas is higher at 25.3% compared to 24.2% in Dublin.
- The percentage of residents with less than a high school education is higher in Lashmeet at 47.2%, compared to 12.8% in Dublin.
- A higher percentage of residents in Dublin hold a bachelor's degree or higher at 13.6% compared to 5.8% in Lashmeet.
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.