Demographics details for Draper, UT vs Villas, NJ
Population Overview
Compare main population characteristics in Draper, UT vs Villas, NJ.
| Data | Draper | Villas |
|---|---|---|
| Population | 50,731 | 9,925 |
| Median Age | 33.6 years | 42.4 years |
| Median Income | $126,041 | $74,182 |
| Married Families | 45.0% | 42.0% |
| Poverty Level | Data is updating | 6% |
| Unemployment Rate | 4.0 | 4.2 |
Population Comparison: Draper vs Villas
- In Draper, the population is higher at 50,731, compared to 9,925 in Villas.
- The median age in Villas is higher at 42.4 years, compared to 33.6 years in Draper.
- Draper has a higher median income of $126,041 compared to $74,182 in Villas.
- A higher percentage of married families is found in Draper at 45.0% compared to 42.0% in Villas.
- The poverty level is higher in Villas at 6%, compared to 0% in Draper.
- Villas has a higher unemployment rate at 4.2% compared to 4.0% in Draper.
Demographics
Demographics Draper vs Villas provide insight into the diversity of the communities to compare.
| Demographic | Draper | Villas |
|---|---|---|
| Black | 2 | 1 |
| White | 81 | 88 |
| Asian | 4 | 1 |
| Hispanic | 7 | 6 |
| Two or More Races | 6 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Draper vs Villas
- A higher percentage of Black residents are in Draper at 2% compared to 1% in Villas.
- The percentage of White residents is higher in Villas at 88% compared to 81% in Draper.
- The Asian population is larger in Draper at 4% compared to 1% in Villas.
- The Hispanic community is larger in Draper at 7% compared to 6% in Villas.
- Both Draper and Villas have the same percentage of residents identifying as two or more races at 6%.
- The percentage of American Indian residents is the same in both Draper and Villas at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Draper | Villas |
|---|---|---|
| Mental Health Not Good | 16.0% | 17.8% |
| Physical Health Not Good | 8.7% | 12.2% |
| Depression | 25.3% | 25.1% |
| Smoking | 7.1% | 19.2% |
| Binge Drinking | 16.7% | 18.9% |
| Obesity | 28.2% | 34.4% |
| Disability Percentage | 6.0% | 18.0% |
Health Statistics Comparison: Draper vs Villas
- In Villas, a higher percentage report poor mental health at 17.8% compared to 16.0% in Draper.
- Depression is more prevalent in Draper at 25.3% compared to 25.1% in Villas.
- Villas has a higher smoking rate at 19.2% compared to 7.1% in Draper.
- More residents engage in binge drinking in Villas at 18.9% compared to 16.7% in Draper.
- Villas has higher obesity rates at 34.4% compared to 28.2% in Draper.
- There is a higher percentage of disabled individuals in Villas at 18.0% compared to 6.0% in Draper.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Draper | Villas |
|---|---|---|
| No Schooling | 0.7% (347) | 0.9% (89) |
| High School Diploma | 7.4% (3,771) | 24.7% (2,455) |
| Less than High School | 4.1% (2,077) | 9.5% (946) |
| Bachelor's Degree and Higher | 30.1% (15,258) | 17.4% (1,724) |
Education Levels Comparison: Draper vs Villas
- In Villas, a larger percentage of residents lack formal schooling at 0.9% compared to 0.7% in Draper.
- In Villas, the rate of residents with high school diplomas is higher at 24.7% compared to 7.4% in Draper.
- The percentage of residents with less than a high school education is higher in Villas at 9.5%, compared to 4.1% in Draper.
- A higher percentage of residents in Draper hold a bachelor's degree or higher at 30.1% compared to 17.4% in Villas.
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.