Demographics details for Butler, GA vs Schenectady, NY
Population Overview
Compare main population characteristics in Butler, GA vs Schenectady, NY.
| Data | Butler | Schenectady |
|---|---|---|
| Population | 1,827 | 68,809 |
| Median Age | 33.5 years | 36.0 years |
| Median Income | $27,656 | $54,650 |
| Married Families | 24.0% | 28.0% |
| Poverty Level | 20% | 13% |
| Unemployment Rate | 4.5 | 4.6 |
Population Comparison: Butler vs Schenectady
- The population in Schenectady is higher at 68,809, compared to 1,827 in Butler.
- The median age in Schenectady is higher at 36.0 years, compared to 33.5 years in Butler.
- Schenectady has a higher median income of $54,650, compared to $27,656 in Butler.
- In Schenectady, the percentage of married families is higher at 28.0%, compared to 24.0% in Butler.
- Butler has a higher poverty level at 20% compared to 13% in Schenectady.
- Schenectady has a higher unemployment rate at 4.6% compared to 4.5% in Butler.
Demographics
Demographics Butler vs Schenectady provide insight into the diversity of the communities to compare.
| Demographic | Butler | Schenectady |
|---|---|---|
| Black | 70 | 20 |
| White | 22 | 47 |
| Asian | 2 | 7 |
| Hispanic | 2 | 12 |
| Two or More Races | 4 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Butler vs Schenectady
- A higher percentage of Black residents are in Butler at 70% compared to 20% in Schenectady.
- The percentage of White residents is higher in Schenectady at 47% compared to 22% in Butler.
- In Schenectady, the Asian population stands at 7%, greater than 2% in Butler.
- Schenectady has a higher percentage of Hispanic residents at 12%, compared to 2% in Butler.
- The percentage of residents identifying as two or more races is higher in Schenectady at 13%, compared to 4% in Butler.
- In Schenectady, the percentage of American Indian residents is higher at 1%, compared to 0% in Butler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Schenectady |
|---|---|---|
| Mental Health Not Good | 21.2% | 17.4% |
| Physical Health Not Good | 16.9% | 12.5% |
| Depression | 23.4% | 24.0% |
| Smoking | 25.7% | 22.7% |
| Binge Drinking | 12.7% | 16.2% |
| Obesity | 46.9% | 39.6% |
| Disability Percentage | 17.0% | 15.0% |
Health Statistics Comparison: Butler vs Schenectady
- More residents in Butler report poor mental health at 21.2% compared to 17.4% in Schenectady.
- Higher depression rates are seen in Schenectady at 24.0% versus 23.4% in Butler.
- Smoking is more prevalent in Butler at 25.7% compared to 22.7% in Schenectady.
- More residents engage in binge drinking in Schenectady at 16.2% compared to 12.7% in Butler.
- Obesity rates are higher in Butler at 46.9% compared to 39.6% in Schenectady.
- Disability percentages are higher in Butler at 17.0% compared to 15.0% in Schenectady.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Schenectady |
|---|---|---|
| No Schooling | 0.2% (4) | 1.7% (1,194) |
| High School Diploma | 28.5% (520) | 15.3% (10,540) |
| Less than High School | 23.9% (436) | 14.7% (10,146) |
| Bachelor's Degree and Higher | 8.0% (147) | 15.0% (10,303) |
Education Levels Comparison: Butler vs Schenectady
- In Schenectady, a larger percentage of residents lack formal schooling at 1.7% compared to 0.2% in Butler.
- A higher percentage of residents in Butler hold a high school diploma at 28.5% compared to 15.3% in Schenectady.
- More residents in Butler have less than a high school education at 23.9% compared to 14.7% in Schenectady.
- In Schenectady, a larger share of residents have a bachelor's degree or higher at 15.0% compared to 8.0% in Butler.
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.