Demographics details for Sandy, UT vs Crum lynne, PA
Population Overview
Compare main population characteristics in Sandy, UT vs Crum lynne, PA.
| Data | Sandy | Crum lynne |
|---|---|---|
| Population | 93,022 | 735 |
| Median Age | 36.9 years | 38.0 years |
| Median Income | $108,165 | $60,000 |
| Married Families | 47.0% | 50.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 3.6 | 4.0 |
Population Comparison: Sandy vs Crum lynne
- In Sandy, the population is higher at 93,022, compared to 735 in Crum lynne.
- The median age in Crum lynne is higher at 38.0 years, compared to 36.9 years in Sandy.
- Sandy has a higher median income of $108,165 compared to $60,000 in Crum lynne.
- In Crum lynne, the percentage of married families is higher at 50.0%, compared to 47.0% in Sandy.
- The poverty level is higher in Crum lynne at 12%, compared to 6% in Sandy.
- Crum lynne has a higher unemployment rate at 4.0% compared to 3.6% in Sandy.
Demographics
Demographics Sandy vs Crum lynne provide insight into the diversity of the communities to compare.
| Demographic | Sandy | Crum lynne |
|---|---|---|
| Black | 1 | 5 |
| White | 77 | 90 |
| Asian | 4 | 2 |
| Hispanic | 11 | 1 |
| Two or More Races | 6 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Sandy vs Crum lynne
- In Crum lynne, the percentage of Black residents is higher at 5% compared to 1% in Sandy.
- The percentage of White residents is higher in Crum lynne at 90% compared to 77% in Sandy.
- The Asian population is larger in Sandy at 4% compared to 2% in Crum lynne.
- The Hispanic community is larger in Sandy at 11% compared to 1% in Crum lynne.
- More residents identify as two or more races in Sandy at 6% compared to 2% in Crum lynne.
- A greater percentage of American Indian residents live in Sandy at 1% compared to 0% in Crum lynne.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sandy | Crum lynne |
|---|---|---|
| Mental Health Not Good | 17.1% | Data is updating% |
| Physical Health Not Good | 9.4% | Data is updating% |
| Depression | 26.7% | Data is updating% |
| Smoking | 7.8% | Data is updating% |
| Binge Drinking | 16.4% | Data is updating% |
| Obesity | 29.0% | Data is updating% |
| Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: Sandy vs Crum lynne
- More residents in Sandy report poor mental health at 17.1% compared to 0.0% in Crum lynne.
- Depression is more prevalent in Sandy at 26.7% compared to 0.0% in Crum lynne.
- Smoking is more prevalent in Sandy at 7.8% compared to 0.0% in Crum lynne.
- Binge drinking is more common in Sandy at 16.4% compared to 0.0% in Crum lynne.
- Obesity rates are higher in Sandy at 29.0% compared to 0.0% in Crum lynne.
- Disability percentages are higher in Sandy at 9.0% compared to 0.0% in Crum lynne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sandy | Crum lynne |
|---|---|---|
| No Schooling | 0.5% (424) | 0.0% (Data is updating) |
| High School Diploma | 10.9% (10,176) | 0.0% (Data is updating) |
| Less than High School | 5.7% (5,337) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 30.5% (28,394) | 0.0% (Data is updating) |
Education Levels Comparison: Sandy vs Crum lynne
- A higher percentage of residents in Sandy have no formal schooling at 0.5% compared to 0.0% in Crum lynne.
- A higher percentage of residents in Sandy hold a high school diploma at 10.9% compared to 0.0% in Crum lynne.
- More residents in Sandy have less than a high school education at 5.7% compared to 0.0% in Crum lynne.
- A higher percentage of residents in Sandy hold a bachelor's degree or higher at 30.5% compared to 0.0% in Crum lynne.
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.