Demographics details for Ogema, WI vs Mullica hill, NJ
Population Overview
Compare main population characteristics in Ogema, WI vs Mullica hill, NJ.
| Data | Ogema | Mullica hill |
|---|---|---|
| Population | 684 | 4,454 |
| Median Age | 35.0 years | 41.0 years |
| Median Income | $55,000 | $123,265 |
| Married Families | 40.0% | 46.0% |
| Poverty Level | 5% | 4% |
| Unemployment Rate | 3.0 | 3.2 |
Population Comparison: Ogema vs Mullica hill
- The population in Mullica hill is higher at 4,454, compared to 684 in Ogema.
- The median age in Mullica hill is higher at 41.0 years, compared to 35.0 years in Ogema.
- Mullica hill has a higher median income of $123,265, compared to $55,000 in Ogema.
- In Mullica hill, the percentage of married families is higher at 46.0%, compared to 40.0% in Ogema.
- Ogema has a higher poverty level at 5% compared to 4% in Mullica hill.
- Mullica hill has a higher unemployment rate at 3.2% compared to 3.0% in Ogema.
Demographics
Demographics Ogema vs Mullica hill provide insight into the diversity of the communities to compare.
| Demographic | Ogema | Mullica hill |
|---|---|---|
| Black | 1 | 11 |
| White | 96 | 74 |
| Asian | Data is updating | 4 |
| Hispanic | 2 | 4 |
| Two or More Races | 1 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ogema vs Mullica hill
- In Mullica hill, the percentage of Black residents is higher at 11% compared to 1% in Ogema.
- Ogema has a higher percentage of White residents at 96% compared to 74% in Mullica hill.
- In Mullica hill, the Asian population stands at 4%, greater than 0% in Ogema.
- Mullica hill has a higher percentage of Hispanic residents at 4%, compared to 2% in Ogema.
- The percentage of residents identifying as two or more races is higher in Mullica hill at 7%, compared to 1% in Ogema.
- The percentage of American Indian residents is the same in both Ogema and Mullica hill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ogema | Mullica hill |
|---|---|---|
| Mental Health Not Good | Data is updating% | 13.7% |
| Physical Health Not Good | Data is updating% | 7.9% |
| Depression | Data is updating% | 20.9% |
| Smoking | Data is updating% | 10.3% |
| Binge Drinking | Data is updating% | 20.0% |
| Obesity | Data is updating% | 27.7% |
| Disability Percentage | Data is updating% | 12.0% |
Health Statistics Comparison: Ogema vs Mullica hill
- In Mullica hill, a higher percentage report poor mental health at 13.7% compared to 0.0% in Ogema.
- Higher depression rates are seen in Mullica hill at 20.9% versus 0.0% in Ogema.
- Mullica hill has a higher smoking rate at 10.3% compared to 0.0% in Ogema.
- More residents engage in binge drinking in Mullica hill at 20.0% compared to 0.0% in Ogema.
- Mullica hill has higher obesity rates at 27.7% compared to 0.0% in Ogema.
- There is a higher percentage of disabled individuals in Mullica hill at 12.0% compared to 0.0% in Ogema.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ogema | Mullica hill |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (33) |
| High School Diploma | 0.0% (Data is updating) | 12.9% (576) |
| Less than High School | 0.0% (Data is updating) | 5.5% (244) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 36.2% (1,612) |
Education Levels Comparison: Ogema vs Mullica hill
- In Mullica hill, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Ogema.
- In Mullica hill, the rate of residents with high school diplomas is higher at 12.9% compared to 0.0% in Ogema.
- The percentage of residents with less than a high school education is higher in Mullica hill at 5.5%, compared to 0.0% in Ogema.
- In Mullica hill, a larger share of residents have a bachelor's degree or higher at 36.2% compared to 0.0% in Ogema.
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.