Demographics details for Manville, NJ vs Springer, OK
Population Overview
Compare main population characteristics in Manville, NJ vs Springer, OK.
| Data | Manville | Springer |
|---|---|---|
| Population | 10,875 | 694 |
| Median Age | 42.1 years | 30.3 years |
| Median Income | $85,925 | $51,630 |
| Married Families | 39.0% | 42.0% |
| Poverty Level | 4% | 17% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Manville vs Springer
- In Manville, the population is higher at 10,875, compared to 694 in Springer.
- Residents in Manville have a higher median age of 42.1 years compared to 30.3 years in Springer.
- Manville has a higher median income of $85,925 compared to $51,630 in Springer.
- In Springer, the percentage of married families is higher at 42.0%, compared to 39.0% in Manville.
- The poverty level is higher in Springer at 17%, compared to 4% in Manville.
- The unemployment rate is the same in both Manville and Springer at 3.5%.
Demographics
Demographics Manville vs Springer provide insight into the diversity of the communities to compare.
| Demographic | Manville | Springer |
|---|---|---|
| Black | 10 | 5 |
| White | 60 | 54 |
| Asian | 4 | Data is updating |
| Hispanic | 17 | 7 |
| Two or More Races | 7 | 21 |
| American Indian | 2 | 13 |
Demographics Comparison: Manville vs Springer
- A higher percentage of Black residents are in Manville at 10% compared to 5% in Springer.
- Manville has a higher percentage of White residents at 60% compared to 54% in Springer.
- The Asian population is larger in Manville at 4% compared to 0% in Springer.
- The Hispanic community is larger in Manville at 17% compared to 7% in Springer.
- The percentage of residents identifying as two or more races is higher in Springer at 21%, compared to 7% in Manville.
- In Springer, the percentage of American Indian residents is higher at 13%, compared to 2% in Manville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manville | Springer |
|---|---|---|
| Mental Health Not Good | 16.1% | 18.7% |
| Physical Health Not Good | 11.4% | 12.6% |
| Depression | 21.0% | 26.0% |
| Smoking | 16.6% | 20.5% |
| Binge Drinking | 17.5% | 15.6% |
| Obesity | 30.6% | 39.9% |
| Disability Percentage | 13.0% | 29.0% |
Health Statistics Comparison: Manville vs Springer
- In Springer, a higher percentage report poor mental health at 18.7% compared to 16.1% in Manville.
- Higher depression rates are seen in Springer at 26.0% versus 21.0% in Manville.
- Springer has a higher smoking rate at 20.5% compared to 16.6% in Manville.
- Binge drinking is more common in Manville at 17.5% compared to 15.6% in Springer.
- Springer has higher obesity rates at 39.9% compared to 30.6% in Manville.
- There is a higher percentage of disabled individuals in Springer at 29.0% 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 | Springer |
|---|---|---|
| No Schooling | 0.2% (24) | 0.0% (Data is updating) |
| High School Diploma | 23.7% (2,576) | 19.2% (133) |
| Less than High School | 8.6% (937) | 19.6% (136) |
| Bachelor's Degree and Higher | 20.5% (2,227) | 9.4% (65) |
Education Levels Comparison: Manville vs Springer
- A higher percentage of residents in Manville have no formal schooling at 0.2% compared to 0.0% in Springer.
- A higher percentage of residents in Manville hold a high school diploma at 23.7% compared to 19.2% in Springer.
- The percentage of residents with less than a high school education is higher in Springer at 19.6%, 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 9.4% in Springer.
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.