Demographics details for Black eagle, MT vs Griffin, GA
Population Overview
Compare main population characteristics in Black eagle, MT vs Griffin, GA.
| Data | Black eagle | Griffin |
|---|---|---|
| Population | 672 | 23,693 |
| Median Age | 45.8 years | 33.2 years |
| Median Income | $51,406 | $42,047 |
| Married Families | 31.0% | 26.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Black eagle vs Griffin
- The population in Griffin is higher at 23,693, compared to 672 in Black eagle.
- Residents in Black eagle have a higher median age of 45.8 years compared to 33.2 years in Griffin.
- Black eagle has a higher median income of $51,406 compared to $42,047 in Griffin.
- A higher percentage of married families is found in Black eagle at 31.0% compared to 26.0% in Griffin.
- The poverty level is higher in Griffin at 15%, compared to 12% in Black eagle.
- Griffin has a higher unemployment rate at 4.5% compared to 3.5% in Black eagle.
Demographics
Demographics Black eagle vs Griffin provide insight into the diversity of the communities to compare.
| Demographic | Black eagle | Griffin |
|---|---|---|
| Black | Data is updating | 52 |
| White | 82 | 36 |
| Asian | Data is updating | 1 |
| Hispanic | 8 | 5 |
| Two or More Races | 8 | 5 |
| American Indian | 2 | 1 |
Demographics Comparison: Black eagle vs Griffin
- In Griffin, the percentage of Black residents is higher at 52% compared to 0% in Black eagle.
- Black eagle has a higher percentage of White residents at 82% compared to 36% in Griffin.
- In Griffin, the Asian population stands at 1%, greater than 0% in Black eagle.
- The Hispanic community is larger in Black eagle at 8% compared to 5% in Griffin.
- More residents identify as two or more races in Black eagle at 8% compared to 5% in Griffin.
- A greater percentage of American Indian residents live in Black eagle at 2% compared to 1% in Griffin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Black eagle | Griffin |
|---|---|---|
| Mental Health Not Good | 17.2% | 18.8% |
| Physical Health Not Good | 12.1% | 14.6% |
| Depression | 24.2% | 19.7% |
| Smoking | 20.6% | 22.4% |
| Binge Drinking | 22.1% | 13.4% |
| Obesity | 36.6% | 38.8% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Black eagle vs Griffin
- In Griffin, a higher percentage report poor mental health at 18.8% compared to 17.2% in Black eagle.
- Depression is more prevalent in Black eagle at 24.2% compared to 19.7% in Griffin.
- Griffin has a higher smoking rate at 22.4% compared to 20.6% in Black eagle.
- Binge drinking is more common in Black eagle at 22.1% compared to 13.4% in Griffin.
- Griffin has higher obesity rates at 38.8% compared to 36.6% in Black eagle.
- Disability percentages are higher in Black eagle at 17.0% compared to 13.0% in Griffin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Black eagle | Griffin |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.2% (517) |
| High School Diploma | 35.6% (239) | 22.6% (5,347) |
| Less than High School | 27.7% (186) | 16.3% (3,859) |
| Bachelor's Degree and Higher | 8.6% (58) | 11.9% (2,819) |
Education Levels Comparison: Black eagle vs Griffin
- In Griffin, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Black eagle.
- A higher percentage of residents in Black eagle hold a high school diploma at 35.6% compared to 22.6% in Griffin.
- More residents in Black eagle have less than a high school education at 27.7% compared to 16.3% in Griffin.
- In Griffin, a larger share of residents have a bachelor's degree or higher at 11.9% compared to 8.6% in Black eagle.
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.