Demographics details for New richmond, OH vs Schenectady, NY
Population Overview
Compare main population characteristics in New richmond, OH vs Schenectady, NY.
| Data | New richmond | Schenectady |
|---|---|---|
| Population | 2,753 | 68,809 |
| Median Age | 39.5 years | 36.0 years |
| Median Income | $76,760 | $54,650 |
| Married Families | 45.0% | 28.0% |
| Poverty Level | 7% | 13% |
| Unemployment Rate | 3.2 | 4.6 |
Population Comparison: New richmond vs Schenectady
- The population in Schenectady is higher at 68,809, compared to 2,753 in New richmond.
- Residents in New richmond have a higher median age of 39.5 years compared to 36.0 years in Schenectady.
- New richmond has a higher median income of $76,760 compared to $54,650 in Schenectady.
- A higher percentage of married families is found in New richmond at 45.0% compared to 28.0% in Schenectady.
- The poverty level is higher in Schenectady at 13%, compared to 7% in New richmond.
- Schenectady has a higher unemployment rate at 4.6% compared to 3.2% in New richmond.
Demographics
Demographics New richmond vs Schenectady provide insight into the diversity of the communities to compare.
| Demographic | New richmond | Schenectady |
|---|---|---|
| Black | 4 | 20 |
| White | 89 | 47 |
| Asian | Data is updating | 7 |
| Hispanic | 3 | 12 |
| Two or More Races | 4 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: New richmond vs Schenectady
- In Schenectady, the percentage of Black residents is higher at 20% compared to 4% in New richmond.
- New richmond has a higher percentage of White residents at 89% compared to 47% in Schenectady.
- In Schenectady, the Asian population stands at 7%, greater than 0% in New richmond.
- Schenectady has a higher percentage of Hispanic residents at 12%, compared to 3% in New richmond.
- The percentage of residents identifying as two or more races is higher in Schenectady at 13%, compared to 4% in New richmond.
- In Schenectady, the percentage of American Indian residents is higher at 1%, compared to 0% in New richmond.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New richmond | Schenectady |
|---|---|---|
| Mental Health Not Good | 18.9% | 17.4% |
| Physical Health Not Good | 13.3% | 12.5% |
| Depression | 25.5% | 24.0% |
| Smoking | 24.9% | 22.7% |
| Binge Drinking | 19.0% | 16.2% |
| Obesity | 38.1% | 39.6% |
| Disability Percentage | 18.0% | 15.0% |
Health Statistics Comparison: New richmond vs Schenectady
- More residents in New richmond report poor mental health at 18.9% compared to 17.4% in Schenectady.
- Depression is more prevalent in New richmond at 25.5% compared to 24.0% in Schenectady.
- Smoking is more prevalent in New richmond at 24.9% compared to 22.7% in Schenectady.
- Binge drinking is more common in New richmond at 19.0% compared to 16.2% in Schenectady.
- Schenectady has higher obesity rates at 39.6% compared to 38.1% in New richmond.
- Disability percentages are higher in New richmond at 18.0% 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 | New richmond | Schenectady |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.7% (1,194) |
| High School Diploma | 23.4% (643) | 15.3% (10,540) |
| Less than High School | 18.1% (498) | 14.7% (10,146) |
| Bachelor's Degree and Higher | 13.4% (369) | 15.0% (10,303) |
Education Levels Comparison: New richmond vs Schenectady
- In Schenectady, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in New richmond.
- A higher percentage of residents in New richmond hold a high school diploma at 23.4% compared to 15.3% in Schenectady.
- More residents in New richmond have less than a high school education at 18.1% compared to 14.7% in Schenectady.
- In Schenectady, a larger share of residents have a bachelor's degree or higher at 15.0% compared to 13.4% in New richmond.
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.