Demographics details for Daly city, CA vs Princeton, LA
Population Overview
Compare main population characteristics in Daly city, CA vs Princeton, LA.
Data | Daly city | Princeton |
---|---|---|
Population | 100,007 | 1,554 |
Median Age | 41.4 years | 36.0 years |
Median Income | $114,910 | $48,500 |
Married Families | 43.0% | 52.0% |
Poverty Level | 9% | 15% |
Unemployment Rate | 3.5 | 6.0 |
Population Comparison: Daly city vs Princeton
- In Daly city, the population is higher at 100,007, compared to 1,554 in Princeton.
- Residents in Daly city have a higher median age of 41.4 years compared to 36.0 years in Princeton.
- Daly city has a higher median income of $114,910 compared to $48,500 in Princeton.
- In Princeton, the percentage of married families is higher at 52.0%, compared to 43.0% in Daly city.
- The poverty level is higher in Princeton at 15%, compared to 9% in Daly city.
- Princeton has a higher unemployment rate at 6.0% compared to 3.5% in Daly city.
Demographics
Demographics Daly city vs Princeton provide insight into the diversity of the communities to compare.
Demographic | Daly city | Princeton |
---|---|---|
Black | 3 | 50 |
White | 4 | 48 |
Asian | 61 | Data is updating |
Hispanic | 22 | 2 |
Two or More Races | 9 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Daly city vs Princeton
- In Princeton, the percentage of Black residents is higher at 50% compared to 3% in Daly city.
- The percentage of White residents is higher in Princeton at 48% compared to 4% in Daly city.
- The Asian population is larger in Daly city at 61% compared to 0% in Princeton.
- The Hispanic community is larger in Daly city at 22% compared to 2% in Princeton.
- More residents identify as two or more races in Daly city at 9% compared to 0% in Princeton.
- A greater percentage of American Indian residents live in Daly city at 1% compared to 0% in Princeton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Daly city | Princeton |
---|---|---|
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% | Data is updating% |
Health Statistics Comparison: Daly city vs Princeton
- More residents in Daly city report poor mental health at 12.1% compared to 0.0% in Princeton.
- Depression is more prevalent in Daly city at 12.1% compared to 0.0% in Princeton.
- Smoking is more prevalent in Daly city at 8.8% compared to 0.0% in Princeton.
- Binge drinking is more common in Daly city at 12.9% compared to 0.0% in Princeton.
- Obesity rates are higher in Daly city at 19.0% compared to 0.0% in Princeton.
- Disability percentages are higher in Daly city at 9.0% compared to 0.0% in Princeton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Daly city | Princeton |
---|---|---|
No Schooling | 2.6% (2,555) | 0.0% (Data is updating) |
High School Diploma | 14.9% (14,901) | 0.0% (Data is updating) |
Less than High School | 13.5% (13,490) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 30.2% (30,185) | 0.0% (Data is updating) |
Education Levels Comparison: Daly city vs Princeton
- A higher percentage of residents in Daly city have no formal schooling at 2.6% compared to 0.0% in Princeton.
- A higher percentage of residents in Daly city hold a high school diploma at 14.9% compared to 0.0% in Princeton.
- More residents in Daly city have less than a high school education at 13.5% compared to 0.0% in Princeton.
- A higher percentage of residents in Daly city hold a bachelor's degree or higher at 30.2% compared to 0.0% in Princeton.
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.