Demographics details for Dearborn, MI vs Augusta, KY
Population Overview
Compare main population characteristics in Dearborn, MI vs Augusta, KY.
| Data | Dearborn | Augusta |
|---|---|---|
| Population | 107,710 | 1,098 |
| Median Age | 32.3 years | 36.4 years |
| Median Income | $64,600 | $50,135 |
| Married Families | 38.0% | 41.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Dearborn vs Augusta
- In Dearborn, the population is higher at 107,710, compared to 1,098 in Augusta.
- The median age in Augusta is higher at 36.4 years, compared to 32.3 years in Dearborn.
- Dearborn has a higher median income of $64,600 compared to $50,135 in Augusta.
- In Augusta, the percentage of married families is higher at 41.0%, compared to 38.0% in Dearborn.
- Dearborn has a higher poverty level at 12% compared to 10% in Augusta.
- Augusta has a higher unemployment rate at 4.5% compared to 4.1% in Dearborn.
Demographics
Demographics Dearborn vs Augusta provide insight into the diversity of the communities to compare.
| Demographic | Dearborn | Augusta |
|---|---|---|
| Black | 3 | 2 |
| White | 86 | 86 |
| Asian | 3 | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | 12 |
Demographics Comparison: Dearborn vs Augusta
- A higher percentage of Black residents are in Dearborn at 3% compared to 2% in Augusta.
- The percentage of White residents is the same in both Dearborn and Augusta at 86%.
- The Asian population is larger in Dearborn at 3% compared to 0% in Augusta.
- The Hispanic community is larger in Dearborn at 3% compared to 0% in Augusta.
- More residents identify as two or more races in Dearborn at 5% compared to 0% in Augusta.
- In Augusta, the percentage of American Indian residents is higher at 12%, compared to 0% in Dearborn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dearborn | Augusta |
|---|---|---|
| Mental Health Not Good | 19.4% | 20.0% |
| Physical Health Not Good | 13.7% | 14.8% |
| Depression | 26.6% | 28.9% |
| Smoking | 24.6% | 24.3% |
| Binge Drinking | 17.6% | 15.3% |
| Obesity | 34.2% | 38.1% |
| Disability Percentage | 11.0% | 24.0% |
Health Statistics Comparison: Dearborn vs Augusta
- In Augusta, a higher percentage report poor mental health at 20.0% compared to 19.4% in Dearborn.
- Higher depression rates are seen in Augusta at 28.9% versus 26.6% in Dearborn.
- Smoking is more prevalent in Dearborn at 24.6% compared to 24.3% in Augusta.
- Binge drinking is more common in Dearborn at 17.6% compared to 15.3% in Augusta.
- Augusta has higher obesity rates at 38.1% compared to 34.2% in Dearborn.
- There is a higher percentage of disabled individuals in Augusta at 24.0% compared to 11.0% in Dearborn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dearborn | Augusta |
|---|---|---|
| No Schooling | 2.8% (3,058) | 0.5% (5) |
| High School Diploma | 12.3% (13,249) | 33.2% (365) |
| Less than High School | 17.5% (18,849) | 18.9% (208) |
| Bachelor's Degree and Higher | 21.3% (22,938) | 24.3% (267) |
Education Levels Comparison: Dearborn vs Augusta
- A higher percentage of residents in Dearborn have no formal schooling at 2.8% compared to 0.5% in Augusta.
- In Augusta, the rate of residents with high school diplomas is higher at 33.2% compared to 12.3% in Dearborn.
- The percentage of residents with less than a high school education is higher in Augusta at 18.9%, compared to 17.5% in Dearborn.
- In Augusta, a larger share of residents have a bachelor's degree or higher at 24.3% compared to 21.3% in Dearborn.
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.