Demographics details for Wilton, CA vs Rensselaer, IN
Population Overview
Compare main population characteristics in Wilton, CA vs Rensselaer, IN.
| Data | Wilton | Rensselaer |
|---|---|---|
| Population | 6,663 | 5,677 |
| Median Age | 49.7 years | 37.3 years |
| Median Income | $176,875 | $58,659 |
| Married Families | 43.0% | 33.0% |
| Poverty Level | Data is updating | 8% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Wilton vs Rensselaer
- In Wilton, the population is higher at 6,663, compared to 5,677 in Rensselaer.
- Residents in Wilton have a higher median age of 49.7 years compared to 37.3 years in Rensselaer.
- Wilton has a higher median income of $176,875 compared to $58,659 in Rensselaer.
- A higher percentage of married families is found in Wilton at 43.0% compared to 33.0% in Rensselaer.
- The poverty level is higher in Rensselaer at 8%, compared to 0% in Wilton.
- The unemployment rate in Wilton is higher at 3.5%, compared to 3.2% in Rensselaer.
Demographics
Demographics Wilton vs Rensselaer provide insight into the diversity of the communities to compare.
| Demographic | Wilton | Rensselaer |
|---|---|---|
| Black | 1 | 1 |
| White | 57 | 86 |
| Asian | 8 | Data is updating |
| Hispanic | 26 | 7 |
| Two or More Races | 8 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wilton vs Rensselaer
- The percentage of Black residents is the same in both Wilton and Rensselaer at 1%.
- The percentage of White residents is higher in Rensselaer at 86% compared to 57% in Wilton.
- The Asian population is larger in Wilton at 8% compared to 0% in Rensselaer.
- The Hispanic community is larger in Wilton at 26% compared to 7% in Rensselaer.
- More residents identify as two or more races in Wilton at 8% compared to 6% in Rensselaer.
- The percentage of American Indian residents is the same in both Wilton and Rensselaer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wilton | Rensselaer |
|---|---|---|
| Mental Health Not Good | 16.8% | 17.4% |
| Physical Health Not Good | 10.6% | 11.5% |
| Depression | 20.7% | 26.5% |
| Smoking | 13.0% | 20.1% |
| Binge Drinking | 17.4% | 18.0% |
| Obesity | 31.7% | 34.7% |
| Disability Percentage | 11.0% | 19.0% |
Health Statistics Comparison: Wilton vs Rensselaer
- In Rensselaer, a higher percentage report poor mental health at 17.4% compared to 16.8% in Wilton.
- Higher depression rates are seen in Rensselaer at 26.5% versus 20.7% in Wilton.
- Rensselaer has a higher smoking rate at 20.1% compared to 13.0% in Wilton.
- More residents engage in binge drinking in Rensselaer at 18.0% compared to 17.4% in Wilton.
- Rensselaer has higher obesity rates at 34.7% compared to 31.7% in Wilton.
- There is a higher percentage of disabled individuals in Rensselaer at 19.0% compared to 11.0% in Wilton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wilton | Rensselaer |
|---|---|---|
| No Schooling | 0.6% (40) | 0.4% (23) |
| High School Diploma | 20.4% (1,357) | 21.3% (1,212) |
| Less than High School | 4.4% (294) | 14.1% (799) |
| Bachelor's Degree and Higher | 24.6% (1,636) | 11.8% (669) |
Education Levels Comparison: Wilton vs Rensselaer
- A higher percentage of residents in Wilton have no formal schooling at 0.6% compared to 0.4% in Rensselaer.
- In Rensselaer, the rate of residents with high school diplomas is higher at 21.3% compared to 20.4% in Wilton.
- The percentage of residents with less than a high school education is higher in Rensselaer at 14.1%, compared to 4.4% in Wilton.
- A higher percentage of residents in Wilton hold a bachelor's degree or higher at 24.6% 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.