Demographics details for Lakeside, CA vs Linden, PA
Population Overview
Compare main population characteristics in Lakeside, CA vs Linden, PA.
| Data | Lakeside | Linden |
|---|---|---|
| Population | 21,759 | 700 |
| Median Age | 38.4 years | 36.0 years |
| Median Income | $87,386 | $50,000 |
| Married Families | 38.0% | 150.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 5.4 | 5.0 |
Population Comparison: Lakeside vs Linden
- In Lakeside, the population is higher at 21,759, compared to 700 in Linden.
- Residents in Lakeside have a higher median age of 38.4 years compared to 36.0 years in Linden.
- Lakeside has a higher median income of $87,386 compared to $50,000 in Linden.
- In Linden, the percentage of married families is higher at 150.0%, compared to 38.0% in Lakeside.
- The poverty level is higher in Linden at 10%, compared to 8% in Lakeside.
- The unemployment rate in Lakeside is higher at 5.4%, compared to 5.0% in Linden.
Demographics
Demographics Lakeside vs Linden provide insight into the diversity of the communities to compare.
| Demographic | Lakeside | Linden |
|---|---|---|
| Black | 3 | 5 |
| White | 64 | 85 |
| Asian | 2 | 5 |
| Hispanic | 21 | Data is updating |
| Two or More Races | 10 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lakeside vs Linden
- In Linden, the percentage of Black residents is higher at 5% compared to 3% in Lakeside.
- The percentage of White residents is higher in Linden at 85% compared to 64% in Lakeside.
- In Linden, the Asian population stands at 5%, greater than 2% in Lakeside.
- The Hispanic community is larger in Lakeside at 21% compared to 0% in Linden.
- More residents identify as two or more races in Lakeside at 10% compared to 5% in Linden.
- The percentage of American Indian residents is the same in both Lakeside and Linden at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lakeside | Linden |
|---|---|---|
| Mental Health Not Good | 17.9% | Data is updating% |
| Physical Health Not Good | 11.6% | Data is updating% |
| Depression | 20.5% | Data is updating% |
| Smoking | 13.8% | Data is updating% |
| Binge Drinking | 20.1% | Data is updating% |
| Obesity | 25.4% | Data is updating% |
| Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Lakeside vs Linden
- More residents in Lakeside report poor mental health at 17.9% compared to 0.0% in Linden.
- Depression is more prevalent in Lakeside at 20.5% compared to 0.0% in Linden.
- Smoking is more prevalent in Lakeside at 13.8% compared to 0.0% in Linden.
- Binge drinking is more common in Lakeside at 20.1% compared to 0.0% in Linden.
- Obesity rates are higher in Lakeside at 25.4% compared to 0.0% in Linden.
- Disability percentages are higher in Lakeside at 14.0% compared to 0.0% in Linden.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lakeside | Linden |
|---|---|---|
| No Schooling | 1.1% (245) | 0.0% (Data is updating) |
| High School Diploma | 15.0% (3,266) | 0.0% (Data is updating) |
| Less than High School | 12.4% (2,696) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 15.7% (3,419) | 0.0% (Data is updating) |
Education Levels Comparison: Lakeside vs Linden
- A higher percentage of residents in Lakeside have no formal schooling at 1.1% compared to 0.0% in Linden.
- A higher percentage of residents in Lakeside hold a high school diploma at 15.0% compared to 0.0% in Linden.
- More residents in Lakeside have less than a high school education at 12.4% compared to 0.0% in Linden.
- A higher percentage of residents in Lakeside hold a bachelor's degree or higher at 15.7% compared to 0.0% in Linden.
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.