Demographics details for Buda, TX vs Philadelphia, PA
Population Overview
Compare main population characteristics in Buda, TX vs Philadelphia, PA.
| Data | Buda | Philadelphia |
|---|---|---|
| Population | 16,086 | 1,567,258 |
| Median Age | 36.8 years | 34.8 years |
| Median Income | $105,378 | $57,537 |
| Married Families | 44.0% | 26.0% |
| Poverty Level | 5% | 25% |
| Unemployment Rate | 3.2 | 4.7 |
Population Comparison: Buda vs Philadelphia
- The population in Philadelphia is higher at 1,567,258, compared to 16,086 in Buda.
- Residents in Buda have a higher median age of 36.8 years compared to 34.8 years in Philadelphia.
- Buda has a higher median income of $105,378 compared to $57,537 in Philadelphia.
- A higher percentage of married families is found in Buda at 44.0% compared to 26.0% in Philadelphia.
- The poverty level is higher in Philadelphia at 25%, compared to 5% in Buda.
- Philadelphia has a higher unemployment rate at 4.7% compared to 3.2% in Buda.
Demographics
Demographics Buda vs Philadelphia provide insight into the diversity of the communities to compare.
| Demographic | Buda | Philadelphia |
|---|---|---|
| Black | 1 | 41 |
| White | 59 | 29 |
| Asian | Data is updating | 8 |
| Hispanic | 30 | 16 |
| Two or More Races | 10 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Buda vs Philadelphia
- In Philadelphia, the percentage of Black residents is higher at 41% compared to 1% in Buda.
- Buda has a higher percentage of White residents at 59% compared to 29% in Philadelphia.
- In Philadelphia, the Asian population stands at 8%, greater than 0% in Buda.
- The Hispanic community is larger in Buda at 30% compared to 16% in Philadelphia.
- More residents identify as two or more races in Buda at 10% compared to 6% in Philadelphia.
- The percentage of American Indian residents is the same in both Buda and Philadelphia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Buda | Philadelphia |
|---|---|---|
| Mental Health Not Good | 14.6% | 18.0% |
| Physical Health Not Good | 8.8% | 12.8% |
| Depression | 20.5% | 21.0% |
| Smoking | 11.4% | 18.9% |
| Binge Drinking | 20.1% | 16.9% |
| Obesity | 27.5% | 31.3% |
| Disability Percentage | 8.0% | 17.0% |
Health Statistics Comparison: Buda vs Philadelphia
- In Philadelphia, a higher percentage report poor mental health at 18.0% compared to 14.6% in Buda.
- Higher depression rates are seen in Philadelphia at 21.0% versus 20.5% in Buda.
- Philadelphia has a higher smoking rate at 18.9% compared to 11.4% in Buda.
- Binge drinking is more common in Buda at 20.1% compared to 16.9% in Philadelphia.
- Philadelphia has higher obesity rates at 31.3% compared to 27.5% in Buda.
- There is a higher percentage of disabled individuals in Philadelphia at 17.0% compared to 8.0% in Buda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Buda | Philadelphia |
|---|---|---|
| No Schooling | 0.3% (49) | 1.5% (23,668) |
| High School Diploma | 10.4% (1,668) | 18.3% (287,402) |
| Less than High School | 3.3% (532) | 13.3% (207,719) |
| Bachelor's Degree and Higher | 30.8% (4,960) | 23.4% (366,310) |
Education Levels Comparison: Buda vs Philadelphia
- In Philadelphia, a larger percentage of residents lack formal schooling at 1.5% compared to 0.3% in Buda.
- In Philadelphia, the rate of residents with high school diplomas is higher at 18.3% compared to 10.4% in Buda.
- The percentage of residents with less than a high school education is higher in Philadelphia at 13.3%, compared to 3.3% in Buda.
- A higher percentage of residents in Buda hold a bachelor's degree or higher at 30.8% compared to 23.4% in Philadelphia.
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.