Demographics details for Daly city, CA vs Crescent, PA
Population Overview
Compare main population characteristics in Daly city, CA vs Crescent, PA.
| Data | Daly city | Crescent |
|---|---|---|
| Population | 100,007 | 2,455 |
| Median Age | 41.4 years | 50.8 years |
| Median Income | $114,910 | $76,116 |
| Married Families | 43.0% | 49.0% |
| Poverty Level | 9% | 4% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Daly city vs Crescent
- In Daly city, the population is higher at 100,007, compared to 2,455 in Crescent.
- The median age in Crescent is higher at 50.8 years, compared to 41.4 years in Daly city.
- Daly city has a higher median income of $114,910 compared to $76,116 in Crescent.
- In Crescent, the percentage of married families is higher at 49.0%, compared to 43.0% in Daly city.
- Daly city has a higher poverty level at 9% compared to 4% in Crescent.
- The unemployment rate is the same in both Daly city and Crescent at 3.5%.
Demographics
Demographics Daly city vs Crescent provide insight into the diversity of the communities to compare.
| Demographic | Daly city | Crescent |
|---|---|---|
| Black | 3 | 1 |
| White | 4 | 92 |
| Asian | 61 | 3 |
| Hispanic | 22 | 3 |
| Two or More Races | 9 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Daly city vs Crescent
- A higher percentage of Black residents are in Daly city at 3% compared to 1% in Crescent.
- The percentage of White residents is higher in Crescent at 92% compared to 4% in Daly city.
- The Asian population is larger in Daly city at 61% compared to 3% in Crescent.
- The Hispanic community is larger in Daly city at 22% compared to 3% in Crescent.
- More residents identify as two or more races in Daly city at 9% compared to 1% in Crescent.
- A greater percentage of American Indian residents live in Daly city at 1% compared to 0% in Crescent.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Daly city | Crescent |
|---|---|---|
| Mental Health Not Good | 12.1% | Data is updating% |
| Physical Health Not Good | 8.1% | Data is updating% |
| Depression | 12.1% | Data is updating% |
| Smoking | 8.8% | Data is updating% |
| Binge Drinking | 12.9% | Data is updating% |
| Obesity | 19.0% | Data is updating% |
| Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: Daly city vs Crescent
- More residents in Daly city report poor mental health at 12.1% compared to 0.0% in Crescent.
- Depression is more prevalent in Daly city at 12.1% compared to 0.0% in Crescent.
- Smoking is more prevalent in Daly city at 8.8% compared to 0.0% in Crescent.
- Binge drinking is more common in Daly city at 12.9% compared to 0.0% in Crescent.
- Obesity rates are higher in Daly city at 19.0% compared to 0.0% in Crescent.
- There is a higher percentage of disabled individuals in Crescent at 13.0% compared to 9.0% in Daly city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Daly city | Crescent |
|---|---|---|
| No Schooling | 2.6% (2,555) | 1.1% (27) |
| High School Diploma | 14.9% (14,901) | 18.3% (449) |
| Less than High School | 13.5% (13,490) | 10.8% (264) |
| Bachelor's Degree and Higher | 30.2% (30,185) | 19.8% (487) |
Education Levels Comparison: Daly city vs Crescent
- A higher percentage of residents in Daly city have no formal schooling at 2.6% compared to 1.1% in Crescent.
- In Crescent, the rate of residents with high school diplomas is higher at 18.3% compared to 14.9% in Daly city.
- More residents in Daly city have less than a high school education at 13.5% compared to 10.8% in Crescent.
- A higher percentage of residents in Daly city hold a bachelor's degree or higher at 30.2% compared to 19.8% in Crescent.
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.