Demographics details for Leesburg, VA vs Princeton, LA
Population Overview
Compare main population characteristics in Leesburg, VA vs Princeton, LA.
| Data | Leesburg | Princeton |
|---|---|---|
| Population | 48,974 | 1,554 |
| Median Age | 34.8 years | 36.0 years |
| Median Income | $132,298 | $48,500 |
| Married Families | 41.0% | 52.0% |
| Poverty Level | 6% | 15% |
| Unemployment Rate | 2.8 | 6.0 |
Population Comparison: Leesburg vs Princeton
- In Leesburg, the population is higher at 48,974, compared to 1,554 in Princeton.
- The median age in Princeton is higher at 36.0 years, compared to 34.8 years in Leesburg.
- Leesburg has a higher median income of $132,298 compared to $48,500 in Princeton.
- In Princeton, the percentage of married families is higher at 52.0%, compared to 41.0% in Leesburg.
- The poverty level is higher in Princeton at 15%, compared to 6% in Leesburg.
- Princeton has a higher unemployment rate at 6.0% compared to 2.8% in Leesburg.
Demographics
Demographics Leesburg vs Princeton provide insight into the diversity of the communities to compare.
| Demographic | Leesburg | Princeton |
|---|---|---|
| Black | 10 | 50 |
| White | 50 | 48 |
| Asian | 10 | Data is updating |
| Hispanic | 17 | 2 |
| Two or More Races | 12 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Leesburg vs Princeton
- In Princeton, the percentage of Black residents is higher at 50% compared to 10% in Leesburg.
- Leesburg has a higher percentage of White residents at 50% compared to 48% in Princeton.
- The Asian population is larger in Leesburg at 10% compared to 0% in Princeton.
- The Hispanic community is larger in Leesburg at 17% compared to 2% in Princeton.
- More residents identify as two or more races in Leesburg at 12% compared to 0% in Princeton.
- A greater percentage of American Indian residents live in Leesburg at 1% compared to 0% in Princeton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Leesburg | Princeton |
|---|---|---|
| Mental Health Not Good | 14.1% | Data is updating% |
| Physical Health Not Good | 8.7% | Data is updating% |
| Depression | 18.6% | Data is updating% |
| Smoking | 10.7% | Data is updating% |
| Binge Drinking | 17.7% | Data is updating% |
| Obesity | 33.4% | Data is updating% |
| Disability Percentage | 7.0% | Data is updating% |
Health Statistics Comparison: Leesburg vs Princeton
- More residents in Leesburg report poor mental health at 14.1% compared to 0.0% in Princeton.
- Depression is more prevalent in Leesburg at 18.6% compared to 0.0% in Princeton.
- Smoking is more prevalent in Leesburg at 10.7% compared to 0.0% in Princeton.
- Binge drinking is more common in Leesburg at 17.7% compared to 0.0% in Princeton.
- Obesity rates are higher in Leesburg at 33.4% compared to 0.0% in Princeton.
- Disability percentages are higher in Leesburg at 7.0% 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 | Leesburg | Princeton |
|---|---|---|
| No Schooling | 0.8% (376) | 0.0% (Data is updating) |
| High School Diploma | 8.6% (4,195) | 0.0% (Data is updating) |
| Less than High School | 7.4% (3,619) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 36.0% (17,628) | 0.0% (Data is updating) |
Education Levels Comparison: Leesburg vs Princeton
- A higher percentage of residents in Leesburg have no formal schooling at 0.8% compared to 0.0% in Princeton.
- A higher percentage of residents in Leesburg hold a high school diploma at 8.6% compared to 0.0% in Princeton.
- More residents in Leesburg have less than a high school education at 7.4% compared to 0.0% in Princeton.
- A higher percentage of residents in Leesburg hold a bachelor's degree or higher at 36.0% 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.