Demographics details for Mantua, NJ vs Greeley, CO
Population Overview
Compare main population characteristics in Mantua, NJ vs Greeley, CO.
| Data | Mantua | Greeley |
|---|---|---|
| Population | 15,283 | 109,209 |
| Median Age | 43.6 years | 31.9 years |
| Median Income | $108,958 | $65,525 |
| Married Families | 45.0% | 36.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.5 | 4.8 |
Population Comparison: Mantua vs Greeley
- The population in Greeley is higher at 109,209, compared to 15,283 in Mantua.
- Residents in Mantua have a higher median age of 43.6 years compared to 31.9 years in Greeley.
- Mantua has a higher median income of $108,958 compared to $65,525 in Greeley.
- A higher percentage of married families is found in Mantua at 45.0% compared to 36.0% in Greeley.
- The poverty level is higher in Greeley at 12%, compared to 7% in Mantua.
- Greeley has a higher unemployment rate at 4.8% compared to 3.5% in Mantua.
Demographics
Demographics Mantua vs Greeley provide insight into the diversity of the communities to compare.
| Demographic | Mantua | Greeley |
|---|---|---|
| Black | 5 | 3 |
| White | 91 | 45 |
| Asian | 1 | 1 |
| Hispanic | 1 | 39 |
| Two or More Races | 2 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mantua vs Greeley
- A higher percentage of Black residents are in Mantua at 5% compared to 3% in Greeley.
- Mantua has a higher percentage of White residents at 91% compared to 45% in Greeley.
- Both Mantua and Greeley have the same percentage of Asian residents at 1%.
- Greeley has a higher percentage of Hispanic residents at 39%, compared to 1% in Mantua.
- The percentage of residents identifying as two or more races is higher in Greeley at 11%, compared to 2% in Mantua.
- In Greeley, the percentage of American Indian residents is higher at 1%, compared to 0% in Mantua.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mantua | Greeley |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.0% |
| Physical Health Not Good | Data is updating% | 12.3% |
| Depression | Data is updating% | 21.4% |
| Smoking | Data is updating% | 16.5% |
| Binge Drinking | Data is updating% | 16.7% |
| Obesity | Data is updating% | 30.8% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Mantua vs Greeley
- In Greeley, a higher percentage report poor mental health at 17.0% compared to 0.0% in Mantua.
- Higher depression rates are seen in Greeley at 21.4% versus 0.0% in Mantua.
- Greeley has a higher smoking rate at 16.5% compared to 0.0% in Mantua.
- More residents engage in binge drinking in Greeley at 16.7% compared to 0.0% in Mantua.
- Greeley has higher obesity rates at 30.8% compared to 0.0% in Mantua.
- Disability percentages are higher in Mantua at 12.0% compared to 11.0% in Greeley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mantua | Greeley |
|---|---|---|
| No Schooling | 0.7% (105) | 2.2% (2,416) |
| High School Diploma | 21.8% (3,333) | 12.0% (13,106) |
| Less than High School | 7.1% (1,085) | 19.3% (21,128) |
| Bachelor's Degree and Higher | 24.8% (3,788) | 16.4% (17,877) |
Education Levels Comparison: Mantua vs Greeley
- In Greeley, a larger percentage of residents lack formal schooling at 2.2% compared to 0.7% in Mantua.
- A higher percentage of residents in Mantua hold a high school diploma at 21.8% compared to 12.0% in Greeley.
- The percentage of residents with less than a high school education is higher in Greeley at 19.3%, compared to 7.1% in Mantua.
- A higher percentage of residents in Mantua hold a bachelor's degree or higher at 24.8% compared to 16.4% in Greeley.
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.