Demographics details for Lake odessa, MI vs Dublin, GA
Population Overview
Compare main population characteristics in Lake odessa, MI vs Dublin, GA.
| Data | Lake odessa | Dublin |
|---|---|---|
| Population | 2,062 | 15,946 |
| Median Age | 36.0 years | 34.9 years |
| Median Income | $66,397 | $37,734 |
| Married Families | 40.0% | 25.0% |
| Poverty Level | 10% | 20% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Lake odessa vs Dublin
- The population in Dublin is higher at 15,946, compared to 2,062 in Lake odessa.
- Residents in Lake odessa have a higher median age of 36.0 years compared to 34.9 years in Dublin.
- Lake odessa has a higher median income of $66,397 compared to $37,734 in Dublin.
- A higher percentage of married families is found in Lake odessa at 40.0% compared to 25.0% in Dublin.
- The poverty level is higher in Dublin at 20%, compared to 10% in Lake odessa.
- The unemployment rate is the same in both Lake odessa and Dublin at 3.5%.
Demographics
Demographics Lake odessa vs Dublin provide insight into the diversity of the communities to compare.
| Demographic | Lake odessa | Dublin |
|---|---|---|
| Black | 3 | 66 |
| White | 81 | 29 |
| Asian | 1 | 3 |
| Hispanic | 6 | 1 |
| Two or More Races | 9 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lake odessa vs Dublin
- In Dublin, the percentage of Black residents is higher at 66% compared to 3% in Lake odessa.
- Lake odessa has a higher percentage of White residents at 81% compared to 29% in Dublin.
- In Dublin, the Asian population stands at 3%, greater than 1% in Lake odessa.
- The Hispanic community is larger in Lake odessa at 6% compared to 1% in Dublin.
- More residents identify as two or more races in Lake odessa at 9% compared to 1% in Dublin.
- The percentage of American Indian residents is the same in both Lake odessa and Dublin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lake odessa | Dublin |
|---|---|---|
| Mental Health Not Good | 17.5% | 19.8% |
| Physical Health Not Good | 11.1% | 15.4% |
| Depression | 24.5% | 22.1% |
| Smoking | 19.0% | 22.1% |
| Binge Drinking | 18.6% | 12.3% |
| Obesity | 35.7% | 43.4% |
| Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Lake odessa vs Dublin
- In Dublin, a higher percentage report poor mental health at 19.8% compared to 17.5% in Lake odessa.
- Depression is more prevalent in Lake odessa at 24.5% compared to 22.1% in Dublin.
- Dublin has a higher smoking rate at 22.1% compared to 19.0% in Lake odessa.
- Binge drinking is more common in Lake odessa at 18.6% compared to 12.3% in Dublin.
- Dublin has higher obesity rates at 43.4% compared to 35.7% in Lake odessa.
- Disability percentages are higher in Lake odessa at 15.0% 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 | Lake odessa | Dublin |
|---|---|---|
| No Schooling | 0.2% (5) | 1.0% (165) |
| High School Diploma | 21.2% (438) | 24.2% (3,864) |
| Less than High School | 15.7% (324) | 12.8% (2,046) |
| Bachelor's Degree and Higher | 10.8% (222) | 13.6% (2,168) |
Education Levels Comparison: Lake odessa vs Dublin
- In Dublin, a larger percentage of residents lack formal schooling at 1.0% compared to 0.2% in Lake odessa.
- In Dublin, the rate of residents with high school diplomas is higher at 24.2% compared to 21.2% in Lake odessa.
- More residents in Lake odessa have less than a high school education at 15.7% compared to 12.8% in Dublin.
- In Dublin, a larger share of residents have a bachelor's degree or higher at 13.6% compared to 10.8% in Lake odessa.
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.