Demographics details for Closter, NJ vs New richmond, OH
Population Overview
Compare main population characteristics in Closter, NJ vs New richmond, OH.
| Data | Closter | New richmond |
|---|---|---|
| Population | 8,514 | 2,753 |
| Median Age | 40.4 years | 39.5 years |
| Median Income | $181,652 | $76,760 |
| Married Families | 47.0% | 45.0% |
| Poverty Level | 2% | 7% |
| Unemployment Rate | 5.1 | 3.2 |
Population Comparison: Closter vs New richmond
- In Closter, the population is higher at 8,514, compared to 2,753 in New richmond.
- Residents in Closter have a higher median age of 40.4 years compared to 39.5 years in New richmond.
- Closter has a higher median income of $181,652 compared to $76,760 in New richmond.
- A higher percentage of married families is found in Closter at 47.0% compared to 45.0% in New richmond.
- The poverty level is higher in New richmond at 7%, compared to 2% in Closter.
- The unemployment rate in Closter is higher at 5.1%, compared to 3.2% in New richmond.
Demographics
Demographics Closter vs New richmond provide insight into the diversity of the communities to compare.
| Demographic | Closter | New richmond |
|---|---|---|
| Black | 3 | 4 |
| White | 44 | 89 |
| Asian | 35 | Data is updating |
| Hispanic | 8 | 3 |
| Two or More Races | 8 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Closter vs New richmond
- In New richmond, the percentage of Black residents is higher at 4% compared to 3% in Closter.
- The percentage of White residents is higher in New richmond at 89% compared to 44% in Closter.
- The Asian population is larger in Closter at 35% compared to 0% in New richmond.
- The Hispanic community is larger in Closter at 8% compared to 3% in New richmond.
- More residents identify as two or more races in Closter at 8% compared to 4% in New richmond.
- A greater percentage of American Indian residents live in Closter at 2% compared to 0% in New richmond.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Closter | New richmond |
|---|---|---|
| Mental Health Not Good | 11.7% | 18.9% |
| Physical Health Not Good | 6.9% | 13.3% |
| Depression | 14.9% | 25.5% |
| Smoking | 9.4% | 24.9% |
| Binge Drinking | 16.0% | 19.0% |
| Obesity | 21.2% | 38.1% |
| Disability Percentage | 8.0% | 18.0% |
Health Statistics Comparison: Closter vs New richmond
- In New richmond, a higher percentage report poor mental health at 18.9% compared to 11.7% in Closter.
- Higher depression rates are seen in New richmond at 25.5% versus 14.9% in Closter.
- New richmond has a higher smoking rate at 24.9% compared to 9.4% in Closter.
- More residents engage in binge drinking in New richmond at 19.0% compared to 16.0% in Closter.
- New richmond has higher obesity rates at 38.1% compared to 21.2% in Closter.
- There is a higher percentage of disabled individuals in New richmond at 18.0% compared to 8.0% in Closter.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Closter | New richmond |
|---|---|---|
| No Schooling | 0.6% (49) | 0.0% (Data is updating) |
| High School Diploma | 8.7% (744) | 23.4% (643) |
| Less than High School | 5.4% (457) | 18.1% (498) |
| Bachelor's Degree and Higher | 44.4% (3,779) | 13.4% (369) |
Education Levels Comparison: Closter vs New richmond
- A higher percentage of residents in Closter have no formal schooling at 0.6% compared to 0.0% in New richmond.
- In New richmond, the rate of residents with high school diplomas is higher at 23.4% compared to 8.7% in Closter.
- The percentage of residents with less than a high school education is higher in New richmond at 18.1%, compared to 5.4% in Closter.
- A higher percentage of residents in Closter hold a bachelor's degree or higher at 44.4% compared to 13.4% in New richmond.
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.