Demographics details for Butler, GA vs Mc henry, MD
Population Overview
Compare main population characteristics in Butler, GA vs Mc henry, MD.
| Data | Butler | Mc henry |
|---|---|---|
| Population | 1,827 | 270 |
| Median Age | 33.5 years | 37.0 years |
| Median Income | $27,656 | $65,000 |
| Married Families | 24.0% | 60.0% |
| Poverty Level | 20% | 10% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Butler vs Mc henry
- In Butler, the population is higher at 1,827, compared to 270 in Mc henry.
- The median age in Mc henry is higher at 37.0 years, compared to 33.5 years in Butler.
- Mc henry has a higher median income of $65,000, compared to $27,656 in Butler.
- In Mc henry, the percentage of married families is higher at 60.0%, compared to 24.0% in Butler.
- Butler has a higher poverty level at 20% compared to 10% in Mc henry.
- The unemployment rate is the same in both Butler and Mc henry at 4.5%.
Demographics
Demographics Butler vs Mc henry provide insight into the diversity of the communities to compare.
| Demographic | Butler | Mc henry |
|---|---|---|
| Black | 70 | Data is updating |
| White | 22 | 95 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | 1 |
| Two or More Races | 4 | 2 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Butler vs Mc henry
- A higher percentage of Black residents are in Butler at 70% compared to 0% in Mc henry.
- The percentage of White residents is higher in Mc henry at 95% compared to 22% in Butler.
- The Asian population is larger in Butler at 2% compared to 0% in Mc henry.
- The Hispanic community is larger in Butler at 2% compared to 1% in Mc henry.
- More residents identify as two or more races in Butler at 4% compared to 2% in Mc henry.
- In Mc henry, the percentage of American Indian residents is higher at 2%, compared to 0% in Butler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Mc henry |
|---|---|---|
| Mental Health Not Good | 21.2% | Data is updating% |
| Physical Health Not Good | 16.9% | Data is updating% |
| Depression | 23.4% | Data is updating% |
| Smoking | 25.7% | Data is updating% |
| Binge Drinking | 12.7% | Data is updating% |
| Obesity | 46.9% | Data is updating% |
| Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Butler vs Mc henry
- More residents in Butler report poor mental health at 21.2% compared to 0.0% in Mc henry.
- Depression is more prevalent in Butler at 23.4% compared to 0.0% in Mc henry.
- Smoking is more prevalent in Butler at 25.7% compared to 0.0% in Mc henry.
- Binge drinking is more common in Butler at 12.7% compared to 0.0% in Mc henry.
- Obesity rates are higher in Butler at 46.9% compared to 0.0% in Mc henry.
- Disability percentages are higher in Butler at 17.0% compared to 0.0% in Mc henry.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Mc henry |
|---|---|---|
| No Schooling | 0.2% (4) | 0.0% (Data is updating) |
| High School Diploma | 28.5% (520) | 0.0% (Data is updating) |
| Less than High School | 23.9% (436) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 8.0% (147) | 0.0% (Data is updating) |
Education Levels Comparison: Butler vs Mc henry
- A higher percentage of residents in Butler have no formal schooling at 0.2% compared to 0.0% in Mc henry.
- A higher percentage of residents in Butler hold a high school diploma at 28.5% compared to 0.0% in Mc henry.
- More residents in Butler have less than a high school education at 23.9% compared to 0.0% in Mc henry.
- A higher percentage of residents in Butler hold a bachelor's degree or higher at 8.0% compared to 0.0% in Mc henry.
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.