Demographics details for Schenectady, NY vs Helper, UT
Population Overview
Compare main population characteristics in Schenectady, NY vs Helper, UT.
| Data | Schenectady | Helper |
|---|---|---|
| Population | 68,809 | 2,131 |
| Median Age | 36.0 years | 43.2 years |
| Median Income | $54,650 | $59,323 |
| Married Families | 28.0% | 61.0% |
| Poverty Level | 13% | 11% |
| Unemployment Rate | 4.6 | 2.5 |
Population Comparison: Schenectady vs Helper
- In Schenectady, the population is higher at 68,809, compared to 2,131 in Helper.
- The median age in Helper is higher at 43.2 years, compared to 36.0 years in Schenectady.
- Helper has a higher median income of $59,323, compared to $54,650 in Schenectady.
- In Helper, the percentage of married families is higher at 61.0%, compared to 28.0% in Schenectady.
- Schenectady has a higher poverty level at 13% compared to 11% in Helper.
- The unemployment rate in Schenectady is higher at 4.6%, compared to 2.5% in Helper.
Demographics
Demographics Schenectady vs Helper provide insight into the diversity of the communities to compare.
| Demographic | Schenectady | Helper |
|---|---|---|
| Black | 20 | Data is updating |
| White | 47 | 85 |
| Asian | 7 | Data is updating |
| Hispanic | 12 | 10 |
| Two or More Races | 13 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Schenectady vs Helper
- A higher percentage of Black residents are in Schenectady at 20% compared to 0% in Helper.
- The percentage of White residents is higher in Helper at 85% compared to 47% in Schenectady.
- The Asian population is larger in Schenectady at 7% compared to 0% in Helper.
- The Hispanic community is larger in Schenectady at 12% compared to 10% in Helper.
- More residents identify as two or more races in Schenectady at 13% compared to 5% in Helper.
- A greater percentage of American Indian residents live in Schenectady at 1% compared to 0% in Helper.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Schenectady | Helper |
|---|---|---|
| Mental Health Not Good | 17.4% | 17.1% |
| Physical Health Not Good | 12.5% | 11.4% |
| Depression | 24.0% | 25.3% |
| Smoking | 22.7% | 11.5% |
| Binge Drinking | 16.2% | 14.2% |
| Obesity | 39.6% | 36.9% |
| Disability Percentage | 15.0% | 26.0% |
Health Statistics Comparison: Schenectady vs Helper
- More residents in Schenectady report poor mental health at 17.4% compared to 17.1% in Helper.
- Higher depression rates are seen in Helper at 25.3% versus 24.0% in Schenectady.
- Smoking is more prevalent in Schenectady at 22.7% compared to 11.5% in Helper.
- Binge drinking is more common in Schenectady at 16.2% compared to 14.2% in Helper.
- Obesity rates are higher in Schenectady at 39.6% compared to 36.9% in Helper.
- There is a higher percentage of disabled individuals in Helper at 26.0% 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 | Helper |
|---|---|---|
| No Schooling | 1.7% (1,194) | 0.0% (Data is updating) |
| High School Diploma | 15.3% (10,540) | 23.4% (499) |
| Less than High School | 14.7% (10,146) | 8.7% (185) |
| Bachelor's Degree and Higher | 15.0% (10,303) | 18.7% (399) |
Education Levels Comparison: Schenectady vs Helper
- A higher percentage of residents in Schenectady have no formal schooling at 1.7% compared to 0.0% in Helper.
- In Helper, the rate of residents with high school diplomas is higher at 23.4% compared to 15.3% in Schenectady.
- More residents in Schenectady have less than a high school education at 14.7% compared to 8.7% in Helper.
- In Helper, a larger share of residents have a bachelor's degree or higher at 18.7% compared to 15.0% in Schenectady.
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.