Demographics details for Schenectady, NY vs Hampton, VA
Population Overview
Compare main population characteristics in Schenectady, NY vs Hampton, VA.
| Data | Schenectady | Hampton |
|---|---|---|
| Population | 68,809 | 138,037 |
| Median Age | 36.0 years | 36.5 years |
| Median Income | $54,650 | $64,430 |
| Married Families | 28.0% | 34.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 4.6 | 3.7 |
Population Comparison: Schenectady vs Hampton
- The population in Hampton is higher at 138,037, compared to 68,809 in Schenectady.
- The median age in Hampton is higher at 36.5 years, compared to 36.0 years in Schenectady.
- Hampton has a higher median income of $64,430, compared to $54,650 in Schenectady.
- In Hampton, the percentage of married families is higher at 34.0%, compared to 28.0% in Schenectady.
- Schenectady has a higher poverty level at 13% compared to 12% in Hampton.
- The unemployment rate in Schenectady is higher at 4.6%, compared to 3.7% in Hampton.
Demographics
Demographics Schenectady vs Hampton provide insight into the diversity of the communities to compare.
| Demographic | Schenectady | Hampton |
|---|---|---|
| Black | 20 | 49 |
| White | 47 | 34 |
| Asian | 7 | 2 |
| Hispanic | 12 | 7 |
| Two or More Races | 13 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Schenectady vs Hampton
- In Hampton, the percentage of Black residents is higher at 49% compared to 20% in Schenectady.
- Schenectady has a higher percentage of White residents at 47% compared to 34% in Hampton.
- The Asian population is larger in Schenectady at 7% compared to 2% in Hampton.
- The Hispanic community is larger in Schenectady at 12% compared to 7% in Hampton.
- More residents identify as two or more races in Schenectady at 13% compared to 8% in Hampton.
- A greater percentage of American Indian residents live in Schenectady at 1% compared to 0% in Hampton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Schenectady | Hampton |
|---|---|---|
| Mental Health Not Good | 17.4% | 16.8% |
| Physical Health Not Good | 12.5% | 11.3% |
| Depression | 24.0% | 21.1% |
| Smoking | 22.7% | 17.7% |
| Binge Drinking | 16.2% | 15.2% |
| Obesity | 39.6% | 42.6% |
| Disability Percentage | 15.0% | 15.0% |
Health Statistics Comparison: Schenectady vs Hampton
- More residents in Schenectady report poor mental health at 17.4% compared to 16.8% in Hampton.
- Depression is more prevalent in Schenectady at 24.0% compared to 21.1% in Hampton.
- Smoking is more prevalent in Schenectady at 22.7% compared to 17.7% in Hampton.
- Binge drinking is more common in Schenectady at 16.2% compared to 15.2% in Hampton.
- Hampton has higher obesity rates at 42.6% compared to 39.6% in Schenectady.
- Disability percentages are the same in both Schenectady and Hampton at 15.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Schenectady | Hampton |
|---|---|---|
| No Schooling | 1.7% (1,194) | 0.7% (1,033) |
| High School Diploma | 15.3% (10,540) | 16.8% (23,123) |
| Less than High School | 14.7% (10,146) | 7.0% (9,612) |
| Bachelor's Degree and Higher | 15.0% (10,303) | 18.5% (25,602) |
Education Levels Comparison: Schenectady vs Hampton
- A higher percentage of residents in Schenectady have no formal schooling at 1.7% compared to 0.7% in Hampton.
- In Hampton, the rate of residents with high school diplomas is higher at 16.8% compared to 15.3% in Schenectady.
- More residents in Schenectady have less than a high school education at 14.7% compared to 7.0% in Hampton.
- In Hampton, a larger share of residents have a bachelor's degree or higher at 18.5% 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.