Demographics details for Philadelphia, PA vs Vidalia, LA
Population Overview
Compare main population characteristics in Philadelphia, PA vs Vidalia, LA.
| Data | Philadelphia | Vidalia |
|---|---|---|
| Population | 1,567,258 | 3,897 |
| Median Age | 34.8 years | 42.9 years |
| Median Income | $57,537 | $43,684 |
| Married Families | 26.0% | 34.0% |
| Poverty Level | 25% | 21% |
| Unemployment Rate | 4.7 | 4.5 |
Population Comparison: Philadelphia vs Vidalia
- In Philadelphia, the population is higher at 1,567,258, compared to 3,897 in Vidalia.
- The median age in Vidalia is higher at 42.9 years, compared to 34.8 years in Philadelphia.
- Philadelphia has a higher median income of $57,537 compared to $43,684 in Vidalia.
- In Vidalia, the percentage of married families is higher at 34.0%, compared to 26.0% in Philadelphia.
- Philadelphia has a higher poverty level at 25% compared to 21% in Vidalia.
- The unemployment rate in Philadelphia is higher at 4.7%, compared to 4.5% in Vidalia.
Demographics
Demographics Philadelphia vs Vidalia provide insight into the diversity of the communities to compare.
| Demographic | Philadelphia | Vidalia |
|---|---|---|
| Black | 41 | 24 |
| White | 29 | 75 |
| Asian | 8 | Data is updating |
| Hispanic | 16 | Data is updating |
| Two or More Races | 6 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Philadelphia vs Vidalia
- A higher percentage of Black residents are in Philadelphia at 41% compared to 24% in Vidalia.
- The percentage of White residents is higher in Vidalia at 75% compared to 29% in Philadelphia.
- The Asian population is larger in Philadelphia at 8% compared to 0% in Vidalia.
- The Hispanic community is larger in Philadelphia at 16% compared to 0% in Vidalia.
- More residents identify as two or more races in Philadelphia at 6% compared to 1% in Vidalia.
- The percentage of American Indian residents is the same in both Philadelphia and Vidalia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Philadelphia | Vidalia |
|---|---|---|
| Mental Health Not Good | 18.0% | 20.4% |
| Physical Health Not Good | 12.8% | 13.9% |
| Depression | 21.0% | 28.2% |
| Smoking | 18.9% | 23.7% |
| Binge Drinking | 16.9% | 17.5% |
| Obesity | 31.3% | 40.5% |
| Disability Percentage | 17.0% | 15.0% |
Health Statistics Comparison: Philadelphia vs Vidalia
- In Vidalia, a higher percentage report poor mental health at 20.4% compared to 18.0% in Philadelphia.
- Higher depression rates are seen in Vidalia at 28.2% versus 21.0% in Philadelphia.
- Vidalia has a higher smoking rate at 23.7% compared to 18.9% in Philadelphia.
- More residents engage in binge drinking in Vidalia at 17.5% compared to 16.9% in Philadelphia.
- Vidalia has higher obesity rates at 40.5% compared to 31.3% in Philadelphia.
- Disability percentages are higher in Philadelphia at 17.0% compared to 15.0% in Vidalia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Philadelphia | Vidalia |
|---|---|---|
| No Schooling | 1.5% (23,668) | 1.4% (55) |
| High School Diploma | 18.3% (287,402) | 20.7% (805) |
| Less than High School | 13.3% (207,719) | 14.8% (577) |
| Bachelor's Degree and Higher | 23.4% (366,310) | 17.1% (667) |
Education Levels Comparison: Philadelphia vs Vidalia
- A higher percentage of residents in Philadelphia have no formal schooling at 1.5% compared to 1.4% in Vidalia.
- In Vidalia, the rate of residents with high school diplomas is higher at 20.7% compared to 18.3% in Philadelphia.
- The percentage of residents with less than a high school education is higher in Vidalia at 14.8%, compared to 13.3% in Philadelphia.
- A higher percentage of residents in Philadelphia hold a bachelor's degree or higher at 23.4% compared to 17.1% in Vidalia.
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.