Demographics details for Rensselaer, NY vs Cleveland, MS
Population Overview
Compare main population characteristics in Rensselaer, NY vs Cleveland, MS.
| Data | Rensselaer | Cleveland |
|---|---|---|
| Population | 159,853 | 10,545 |
| Median Age | 40.0 years | 33.8 years |
| Median Income | $83,734 | $42,005 |
| Married Families | 37.0% | 27.0% |
| Poverty Level | 11% | 24% |
| Unemployment Rate | 3.4 | 5.6 |
Population Comparison: Rensselaer vs Cleveland
- In Rensselaer, the population is higher at 159,853, compared to 10,545 in Cleveland.
- Residents in Rensselaer have a higher median age of 40.0 years compared to 33.8 years in Cleveland.
- Rensselaer has a higher median income of $83,734 compared to $42,005 in Cleveland.
- A higher percentage of married families is found in Rensselaer at 37.0% compared to 27.0% in Cleveland.
- The poverty level is higher in Cleveland at 24%, compared to 11% in Rensselaer.
- Cleveland has a higher unemployment rate at 5.6% compared to 3.4% in Rensselaer.
Demographics
Demographics Rensselaer vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Rensselaer | Cleveland |
|---|---|---|
| Black | 7 | 56 |
| White | 79 | 36 |
| Asian | 3 | 2 |
| Hispanic | 5 | 1 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rensselaer vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 56% compared to 7% in Rensselaer.
- Rensselaer has a higher percentage of White residents at 79% compared to 36% in Cleveland.
- The Asian population is larger in Rensselaer at 3% compared to 2% in Cleveland.
- The Hispanic community is larger in Rensselaer at 5% compared to 1% in Cleveland.
- More residents identify as two or more races in Rensselaer at 6% compared to 5% in Cleveland.
- The percentage of American Indian residents is the same in both Rensselaer and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rensselaer | Cleveland |
|---|---|---|
| Mental Health Not Good | 15.1% | 17.6% |
| Physical Health Not Good | 10.0% | 13.8% |
| Depression | 23.2% | 20.4% |
| Smoking | 17.3% | 21.0% |
| Binge Drinking | 19.9% | 12.7% |
| Obesity | 36.6% | 41.4% |
| Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Rensselaer vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 17.6% compared to 15.1% in Rensselaer.
- Depression is more prevalent in Rensselaer at 23.2% compared to 20.4% in Cleveland.
- Cleveland has a higher smoking rate at 21.0% compared to 17.3% in Rensselaer.
- Binge drinking is more common in Rensselaer at 19.9% compared to 12.7% in Cleveland.
- Cleveland has higher obesity rates at 41.4% compared to 36.6% in Rensselaer.
- There is a higher percentage of disabled individuals in Cleveland at 20.0% compared to 14.0% in Rensselaer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rensselaer | Cleveland |
|---|---|---|
| No Schooling | 1.0% (1,554) | 0.9% (99) |
| High School Diploma | 15.5% (24,718) | 10.0% (1,059) |
| Less than High School | 9.5% (15,258) | 13.3% (1,404) |
| Bachelor's Degree and Higher | 25.1% (40,094) | 21.3% (2,242) |
Education Levels Comparison: Rensselaer vs Cleveland
- A higher percentage of residents in Rensselaer have no formal schooling at 1.0% compared to 0.9% in Cleveland.
- A higher percentage of residents in Rensselaer hold a high school diploma at 15.5% compared to 10.0% in Cleveland.
- The percentage of residents with less than a high school education is higher in Cleveland at 13.3%, compared to 9.5% in Rensselaer.
- A higher percentage of residents in Rensselaer hold a bachelor's degree or higher at 25.1% compared to 21.3% in Cleveland.
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.