Demographics details for Manville, NJ vs Rensselaer, IN
Population Overview
Compare main population characteristics in Manville, NJ vs Rensselaer, IN.
Data | Manville | Rensselaer |
---|---|---|
Population | 10,875 | 5,677 |
Median Age | 42.1 years | 37.3 years |
Median Income | $85,925 | $58,659 |
Married Families | 39.0% | 33.0% |
Poverty Level | 4% | 8% |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Manville vs Rensselaer
- In Manville, the population is higher at 10,875, compared to 5,677 in Rensselaer.
- Residents in Manville have a higher median age of 42.1 years compared to 37.3 years in Rensselaer.
- Manville has a higher median income of $85,925 compared to $58,659 in Rensselaer.
- A higher percentage of married families is found in Manville at 39.0% compared to 33.0% in Rensselaer.
- The poverty level is higher in Rensselaer at 8%, compared to 4% in Manville.
- The unemployment rate in Manville is higher at 3.5%, compared to 3.2% in Rensselaer.
Demographics
Demographics Manville vs Rensselaer provide insight into the diversity of the communities to compare.
Demographic | Manville | Rensselaer |
---|---|---|
Black | 10 | 1 |
White | 60 | 86 |
Asian | 4 | Data is updating |
Hispanic | 17 | 7 |
Two or More Races | 7 | 6 |
American Indian | 2 | Data is updating |
Demographics Comparison: Manville vs Rensselaer
- A higher percentage of Black residents are in Manville at 10% compared to 1% in Rensselaer.
- The percentage of White residents is higher in Rensselaer at 86% compared to 60% in Manville.
- The Asian population is larger in Manville at 4% compared to 0% in Rensselaer.
- The Hispanic community is larger in Manville at 17% compared to 7% in Rensselaer.
- More residents identify as two or more races in Manville at 7% compared to 6% in Rensselaer.
- A greater percentage of American Indian residents live in Manville at 2% compared to 0% in Rensselaer.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Manville | Rensselaer |
---|---|---|
Mental Health Not Good | 16.1% | 17.4% |
Physical Health Not Good | 11.4% | 11.5% |
Depression | 21.0% | 26.5% |
Smoking | 16.6% | 20.1% |
Binge Drinking | 17.5% | 18.0% |
Obesity | 30.6% | 34.7% |
Disability Percentage | 13.0% | 19.0% |
Health Statistics Comparison: Manville vs Rensselaer
- In Rensselaer, a higher percentage report poor mental health at 17.4% compared to 16.1% in Manville.
- Higher depression rates are seen in Rensselaer at 26.5% versus 21.0% in Manville.
- Rensselaer has a higher smoking rate at 20.1% compared to 16.6% in Manville.
- More residents engage in binge drinking in Rensselaer at 18.0% compared to 17.5% in Manville.
- Rensselaer has higher obesity rates at 34.7% compared to 30.6% in Manville.
- There is a higher percentage of disabled individuals in Rensselaer at 19.0% compared to 13.0% in Manville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Manville | Rensselaer |
---|---|---|
No Schooling | 0.2% (24) | 0.4% (23) |
High School Diploma | 23.7% (2,576) | 21.3% (1,212) |
Less than High School | 8.6% (937) | 14.1% (799) |
Bachelor's Degree and Higher | 20.5% (2,227) | 11.8% (669) |
Education Levels Comparison: Manville vs Rensselaer
- In Rensselaer, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Manville.
- A higher percentage of residents in Manville hold a high school diploma at 23.7% compared to 21.3% in Rensselaer.
- The percentage of residents with less than a high school education is higher in Rensselaer at 14.1%, compared to 8.6% in Manville.
- A higher percentage of residents in Manville hold a bachelor's degree or higher at 20.5% compared to 11.8% in Rensselaer.
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.