Demographics details for Norfolk, NE vs Schenectady, NY
Population Overview
Compare main population characteristics in Norfolk, NE vs Schenectady, NY.
| Data | Norfolk | Schenectady |
|---|---|---|
| Population | 25,928 | 68,809 |
| Median Age | 36.8 years | 36.0 years |
| Median Income | $57,479 | $54,650 |
| Married Families | 38.0% | 28.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 3.1 | 4.6 |
Population Comparison: Norfolk vs Schenectady
- The population in Schenectady is higher at 68,809, compared to 25,928 in Norfolk.
- Residents in Norfolk have a higher median age of 36.8 years compared to 36.0 years in Schenectady.
- Norfolk has a higher median income of $57,479 compared to $54,650 in Schenectady.
- A higher percentage of married families is found in Norfolk at 38.0% compared to 28.0% in Schenectady.
- The poverty level is higher in Schenectady at 13%, compared to 10% in Norfolk.
- Schenectady has a higher unemployment rate at 4.6% compared to 3.1% in Norfolk.
Demographics
Demographics Norfolk vs Schenectady provide insight into the diversity of the communities to compare.
| Demographic | Norfolk | Schenectady |
|---|---|---|
| Black | 1 | 20 |
| White | 75 | 47 |
| Asian | 1 | 7 |
| Hispanic | 14 | 12 |
| Two or More Races | 8 | 13 |
| American Indian | 1 | 1 |
Demographics Comparison: Norfolk vs Schenectady
- In Schenectady, the percentage of Black residents is higher at 20% compared to 1% in Norfolk.
- Norfolk has a higher percentage of White residents at 75% compared to 47% in Schenectady.
- In Schenectady, the Asian population stands at 7%, greater than 1% in Norfolk.
- The Hispanic community is larger in Norfolk at 14% compared to 12% in Schenectady.
- The percentage of residents identifying as two or more races is higher in Schenectady at 13%, compared to 8% in Norfolk.
- The percentage of American Indian residents is the same in both Norfolk and Schenectady at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Norfolk | Schenectady |
|---|---|---|
| Mental Health Not Good | 14.3% | 17.4% |
| Physical Health Not Good | 10.1% | 12.5% |
| Depression | 18.5% | 24.0% |
| Smoking | 16.9% | 22.7% |
| Binge Drinking | 21.4% | 16.2% |
| Obesity | 37.1% | 39.6% |
| Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Norfolk vs Schenectady
- In Schenectady, a higher percentage report poor mental health at 17.4% compared to 14.3% in Norfolk.
- Higher depression rates are seen in Schenectady at 24.0% versus 18.5% in Norfolk.
- Schenectady has a higher smoking rate at 22.7% compared to 16.9% in Norfolk.
- Binge drinking is more common in Norfolk at 21.4% compared to 16.2% in Schenectady.
- Schenectady has higher obesity rates at 39.6% compared to 37.1% in Norfolk.
- There is a higher percentage of disabled individuals in Schenectady at 15.0% compared to 11.0% in Norfolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Norfolk | Schenectady |
|---|---|---|
| No Schooling | 1.3% (340) | 1.7% (1,194) |
| High School Diploma | 18.2% (4,708) | 15.3% (10,540) |
| Less than High School | 8.1% (2,107) | 14.7% (10,146) |
| Bachelor's Degree and Higher | 16.6% (4,308) | 15.0% (10,303) |
Education Levels Comparison: Norfolk vs Schenectady
- In Schenectady, a larger percentage of residents lack formal schooling at 1.7% compared to 1.3% in Norfolk.
- A higher percentage of residents in Norfolk hold a high school diploma at 18.2% compared to 15.3% in Schenectady.
- The percentage of residents with less than a high school education is higher in Schenectady at 14.7%, compared to 8.1% in Norfolk.
- A higher percentage of residents in Norfolk hold a bachelor's degree or higher at 16.6% 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.