Demographics details for Schenectady, NY vs Mount union, PA
Population Overview
Compare main population characteristics in Schenectady, NY vs Mount union, PA.
| Data | Schenectady | Mount union |
|---|---|---|
| Population | 68,809 | 2,267 |
| Median Age | 36.0 years | 34.8 years |
| Median Income | $54,650 | $38,382 |
| Married Families | 28.0% | 25.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 4.6 | 4.2 |
Population Comparison: Schenectady vs Mount union
- In Schenectady, the population is higher at 68,809, compared to 2,267 in Mount union.
- Residents in Schenectady have a higher median age of 36.0 years compared to 34.8 years in Mount union.
- Schenectady has a higher median income of $54,650 compared to $38,382 in Mount union.
- A higher percentage of married families is found in Schenectady at 28.0% compared to 25.0% in Mount union.
- Schenectady has a higher poverty level at 13% compared to 12% in Mount union.
- The unemployment rate in Schenectady is higher at 4.6%, compared to 4.2% in Mount union.
Demographics
Demographics Schenectady vs Mount union provide insight into the diversity of the communities to compare.
| Demographic | Schenectady | Mount union |
|---|---|---|
| Black | 20 | 8 |
| White | 47 | 87 |
| Asian | 7 | Data is updating |
| Hispanic | 12 | 1 |
| Two or More Races | 13 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Schenectady vs Mount union
- A higher percentage of Black residents are in Schenectady at 20% compared to 8% in Mount union.
- The percentage of White residents is higher in Mount union at 87% compared to 47% in Schenectady.
- The Asian population is larger in Schenectady at 7% compared to 0% in Mount union.
- The Hispanic community is larger in Schenectady at 12% compared to 1% in Mount union.
- More residents identify as two or more races in Schenectady at 13% compared to 4% in Mount union.
- A greater percentage of American Indian residents live in Schenectady at 1% compared to 0% in Mount union.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Schenectady | Mount union |
|---|---|---|
| Mental Health Not Good | 17.4% | 20.7% |
| Physical Health Not Good | 12.5% | 15.3% |
| Depression | 24.0% | 25.6% |
| Smoking | 22.7% | 26.4% |
| Binge Drinking | 16.2% | 16.4% |
| Obesity | 39.6% | 43.0% |
| Disability Percentage | 15.0% | 20.0% |
Health Statistics Comparison: Schenectady vs Mount union
- In Mount union, a higher percentage report poor mental health at 20.7% compared to 17.4% in Schenectady.
- Higher depression rates are seen in Mount union at 25.6% versus 24.0% in Schenectady.
- Mount union has a higher smoking rate at 26.4% compared to 22.7% in Schenectady.
- More residents engage in binge drinking in Mount union at 16.4% compared to 16.2% in Schenectady.
- Mount union has higher obesity rates at 43.0% compared to 39.6% in Schenectady.
- There is a higher percentage of disabled individuals in Mount union at 20.0% 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 | Schenectady | Mount union |
|---|---|---|
| No Schooling | 1.7% (1,194) | 1.9% (43) |
| High School Diploma | 15.3% (10,540) | 28.5% (646) |
| Less than High School | 14.7% (10,146) | 16.3% (370) |
| Bachelor's Degree and Higher | 15.0% (10,303) | 6.3% (142) |
Education Levels Comparison: Schenectady vs Mount union
- In Mount union, a larger percentage of residents lack formal schooling at 1.9% compared to 1.7% in Schenectady.
- In Mount union, the rate of residents with high school diplomas is higher at 28.5% compared to 15.3% in Schenectady.
- The percentage of residents with less than a high school education is higher in Mount union at 16.3%, compared to 14.7% in Schenectady.
- A higher percentage of residents in Schenectady hold a bachelor's degree or higher at 15.0% compared to 6.3% in Mount union.
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.