Demographics details for Schenectady, NY vs Chester, IA
Population Overview
Compare main population characteristics in Schenectady, NY vs Chester, IA.
| Data | Schenectady | Chester |
|---|---|---|
| Population | 68,809 | 138 |
| Median Age | 36.0 years | 38.5 years |
| Median Income | $54,650 | $52,083 |
| Married Families | 28.0% | 44.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 4.6 | 3.5 |
Population Comparison: Schenectady vs Chester
- In Schenectady, the population is higher at 68,809, compared to 138 in Chester.
- The median age in Chester is higher at 38.5 years, compared to 36.0 years in Schenectady.
- Schenectady has a higher median income of $54,650 compared to $52,083 in Chester.
- In Chester, the percentage of married families is higher at 44.0%, compared to 28.0% in Schenectady.
- Schenectady has a higher poverty level at 13% compared to 5% in Chester.
- The unemployment rate in Schenectady is higher at 4.6%, compared to 3.5% in Chester.
Demographics
Demographics Schenectady vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Schenectady | Chester |
|---|---|---|
| Black | 20 | Data is updating |
| White | 47 | 98 |
| Asian | 7 | Data is updating |
| Hispanic | 12 | 1 |
| Two or More Races | 13 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Schenectady vs Chester
- A higher percentage of Black residents are in Schenectady at 20% compared to 0% in Chester.
- The percentage of White residents is higher in Chester at 98% compared to 47% in Schenectady.
- The Asian population is larger in Schenectady at 7% compared to 0% in Chester.
- The Hispanic community is larger in Schenectady at 12% compared to 1% in Chester.
- More residents identify as two or more races in Schenectady at 13% compared to 1% in Chester.
- A greater percentage of American Indian residents live in Schenectady at 1% compared to 0% in Chester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Schenectady | Chester |
|---|---|---|
| Mental Health Not Good | 17.4% | 15.9% |
| Physical Health Not Good | 12.5% | 10.7% |
| Depression | 24.0% | 18.7% |
| Smoking | 22.7% | 20.1% |
| Binge Drinking | 16.2% | 21.8% |
| Obesity | 39.6% | 36.4% |
| Disability Percentage | 15.0% | 9.0% |
Health Statistics Comparison: Schenectady vs Chester
- More residents in Schenectady report poor mental health at 17.4% compared to 15.9% in Chester.
- Depression is more prevalent in Schenectady at 24.0% compared to 18.7% in Chester.
- Smoking is more prevalent in Schenectady at 22.7% compared to 20.1% in Chester.
- More residents engage in binge drinking in Chester at 21.8% compared to 16.2% in Schenectady.
- Obesity rates are higher in Schenectady at 39.6% compared to 36.4% in Chester.
- Disability percentages are higher in Schenectady at 15.0% compared to 9.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Schenectady | Chester |
|---|---|---|
| No Schooling | 1.7% (1,194) | 0.0% (Data is updating) |
| High School Diploma | 15.3% (10,540) | 25.4% (35) |
| Less than High School | 14.7% (10,146) | 13.0% (18) |
| Bachelor's Degree and Higher | 15.0% (10,303) | 5.8% (8) |
Education Levels Comparison: Schenectady vs Chester
- A higher percentage of residents in Schenectady have no formal schooling at 1.7% compared to 0.0% in Chester.
- In Chester, the rate of residents with high school diplomas is higher at 25.4% compared to 15.3% in Schenectady.
- More residents in Schenectady have less than a high school education at 14.7% compared to 13.0% in Chester.
- A higher percentage of residents in Schenectady hold a bachelor's degree or higher at 15.0% compared to 5.8% in Chester.
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.