Demographics details for Cleveland, MS vs Schenectady, NY
Population Overview
Compare main population characteristics in Cleveland, MS vs Schenectady, NY.
| Data | Cleveland | Schenectady |
|---|---|---|
| Population | 10,545 | 68,809 |
| Median Age | 33.8 years | 36.0 years |
| Median Income | $42,005 | $54,650 |
| Married Families | 27.0% | 28.0% |
| Poverty Level | 24% | 13% |
| Unemployment Rate | 5.6 | 4.6 |
Population Comparison: Cleveland vs Schenectady
- The population in Schenectady is higher at 68,809, compared to 10,545 in Cleveland.
- The median age in Schenectady is higher at 36.0 years, compared to 33.8 years in Cleveland.
- Schenectady has a higher median income of $54,650, compared to $42,005 in Cleveland.
- In Schenectady, the percentage of married families is higher at 28.0%, compared to 27.0% in Cleveland.
- Cleveland has a higher poverty level at 24% compared to 13% in Schenectady.
- The unemployment rate in Cleveland is higher at 5.6%, compared to 4.6% in Schenectady.
Demographics
Demographics Cleveland vs Schenectady provide insight into the diversity of the communities to compare.
| Demographic | Cleveland | Schenectady |
|---|---|---|
| Black | 56 | 20 |
| White | 36 | 47 |
| Asian | 2 | 7 |
| Hispanic | 1 | 12 |
| Two or More Races | 5 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Cleveland vs Schenectady
- A higher percentage of Black residents are in Cleveland at 56% compared to 20% in Schenectady.
- The percentage of White residents is higher in Schenectady at 47% compared to 36% in Cleveland.
- In Schenectady, the Asian population stands at 7%, greater than 2% in Cleveland.
- Schenectady has a higher percentage of Hispanic residents at 12%, compared to 1% in Cleveland.
- The percentage of residents identifying as two or more races is higher in Schenectady at 13%, compared to 5% in Cleveland.
- In Schenectady, the percentage of American Indian residents is higher at 1%, compared to 0% in Cleveland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cleveland | Schenectady |
|---|---|---|
| Mental Health Not Good | 17.6% | 17.4% |
| Physical Health Not Good | 13.8% | 12.5% |
| Depression | 20.4% | 24.0% |
| Smoking | 21.0% | 22.7% |
| Binge Drinking | 12.7% | 16.2% |
| Obesity | 41.4% | 39.6% |
| Disability Percentage | 20.0% | 15.0% |
Health Statistics Comparison: Cleveland vs Schenectady
- More residents in Cleveland report poor mental health at 17.6% compared to 17.4% in Schenectady.
- Higher depression rates are seen in Schenectady at 24.0% versus 20.4% in Cleveland.
- Schenectady has a higher smoking rate at 22.7% compared to 21.0% in Cleveland.
- More residents engage in binge drinking in Schenectady at 16.2% compared to 12.7% in Cleveland.
- Obesity rates are higher in Cleveland at 41.4% compared to 39.6% in Schenectady.
- Disability percentages are higher in Cleveland at 20.0% 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 | Cleveland | Schenectady |
|---|---|---|
| No Schooling | 0.9% (99) | 1.7% (1,194) |
| High School Diploma | 10.0% (1,059) | 15.3% (10,540) |
| Less than High School | 13.3% (1,404) | 14.7% (10,146) |
| Bachelor's Degree and Higher | 21.3% (2,242) | 15.0% (10,303) |
Education Levels Comparison: Cleveland vs Schenectady
- In Schenectady, a larger percentage of residents lack formal schooling at 1.7% compared to 0.9% in Cleveland.
- In Schenectady, the rate of residents with high school diplomas is higher at 15.3% compared to 10.0% in Cleveland.
- The percentage of residents with less than a high school education is higher in Schenectady at 14.7%, compared to 13.3% in Cleveland.
- A higher percentage of residents in Cleveland hold a bachelor's degree or higher at 21.3% 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.