Demographics details for Butler, PA vs Albany, NY
Population Overview
Compare main population characteristics in Butler, PA vs Albany, NY.
| Data | Butler | Albany |
|---|---|---|
| Population | 13,176 | 100,826 |
| Median Age | 38.2 years | 32.0 years |
| Median Income | $39,546 | $54,736 |
| Married Families | 26.0% | 23.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 4.2 | 4.4 |
Population Comparison: Butler vs Albany
- The population in Albany is higher at 100,826, compared to 13,176 in Butler.
- Residents in Butler have a higher median age of 38.2 years compared to 32.0 years in Albany.
- Albany has a higher median income of $54,736, compared to $39,546 in Butler.
- A higher percentage of married families is found in Butler at 26.0% compared to 23.0% in Albany.
- Butler has a higher poverty level at 12% compared to 0% in Albany.
- Albany has a higher unemployment rate at 4.4% compared to 4.2% in Butler.
Demographics
Demographics Butler vs Albany provide insight into the diversity of the communities to compare.
| Demographic | Butler | Albany |
|---|---|---|
| Black | 3 | 28 |
| White | 88 | 48 |
| Asian | 1 | 7 |
| Hispanic | 3 | 10 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Albany
- In Albany, the percentage of Black residents is higher at 28% compared to 3% in Butler.
- Butler has a higher percentage of White residents at 88% compared to 48% in Albany.
- In Albany, the Asian population stands at 7%, greater than 1% in Butler.
- Albany has a higher percentage of Hispanic residents at 10%, compared to 3% in Butler.
- The percentage of residents identifying as two or more races is higher in Albany at 7%, compared to 5% in Butler.
- The percentage of American Indian residents is the same in both Butler and Albany at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Albany |
|---|---|---|
| Mental Health Not Good | 19.1% | 18.1% |
| Physical Health Not Good | 14.5% | 11.4% |
| Depression | 24.4% | 24.3% |
| Smoking | 24.6% | 20.1% |
| Binge Drinking | 17.4% | 15.8% |
| Obesity | 38.2% | 37.3% |
| Disability Percentage | 23.0% | 13.0% |
Health Statistics Comparison: Butler vs Albany
- More residents in Butler report poor mental health at 19.1% compared to 18.1% in Albany.
- Depression is more prevalent in Butler at 24.4% compared to 24.3% in Albany.
- Smoking is more prevalent in Butler at 24.6% compared to 20.1% in Albany.
- Binge drinking is more common in Butler at 17.4% compared to 15.8% in Albany.
- Obesity rates are higher in Butler at 38.2% compared to 37.3% in Albany.
- Disability percentages are higher in Butler at 23.0% compared to 13.0% in Albany.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Albany |
|---|---|---|
| No Schooling | 0.1% (14) | 1.6% (1,641) |
| High School Diploma | 23.6% (3,115) | 9.3% (9,344) |
| Less than High School | 9.3% (1,222) | 9.8% (9,877) |
| Bachelor's Degree and Higher | 15.6% (2,049) | 26.6% (26,849) |
Education Levels Comparison: Butler vs Albany
- In Albany, a larger percentage of residents lack formal schooling at 1.6% compared to 0.1% in Butler.
- A higher percentage of residents in Butler hold a high school diploma at 23.6% compared to 9.3% in Albany.
- The percentage of residents with less than a high school education is higher in Albany at 9.8%, compared to 9.3% in Butler.
- In Albany, a larger share of residents have a bachelor's degree or higher at 26.6% compared to 15.6% 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.