Demographics details for Phillipsburg, OH vs Buda, TX
Population Overview
Compare main population characteristics in Phillipsburg, OH vs Buda, TX.
| Data | Phillipsburg | Buda |
|---|---|---|
| Population | 496 | 16,086 |
| Median Age | 33.6 years | 36.8 years |
| Median Income | $56,250 | $105,378 |
| Married Families | 31.0% | 44.0% |
| Poverty Level | 8% | 5% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Phillipsburg vs Buda
- The population in Buda is higher at 16,086, compared to 496 in Phillipsburg.
- The median age in Buda is higher at 36.8 years, compared to 33.6 years in Phillipsburg.
- Buda has a higher median income of $105,378, compared to $56,250 in Phillipsburg.
- In Buda, the percentage of married families is higher at 44.0%, compared to 31.0% in Phillipsburg.
- Phillipsburg has a higher poverty level at 8% compared to 5% in Buda.
- The unemployment rate in Phillipsburg is higher at 3.5%, compared to 3.2% in Buda.
Demographics
Demographics Phillipsburg vs Buda provide insight into the diversity of the communities to compare.
| Demographic | Phillipsburg | Buda |
|---|---|---|
| Black | Data is updating | 1 |
| White | 96 | 59 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 30 |
| Two or More Races | Data is updating | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Phillipsburg vs Buda
- In Buda, the percentage of Black residents is higher at 1% compared to 0% in Phillipsburg.
- Phillipsburg has a higher percentage of White residents at 96% compared to 59% in Buda.
- Both Phillipsburg and Buda have the same percentage of Asian residents at 0%.
- Buda has a higher percentage of Hispanic residents at 30%, compared to 4% in Phillipsburg.
- The percentage of residents identifying as two or more races is higher in Buda at 10%, compared to 0% in Phillipsburg.
- The percentage of American Indian residents is the same in both Phillipsburg and Buda at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Phillipsburg | Buda |
|---|---|---|
| Mental Health Not Good | 18.4% | 14.6% |
| Physical Health Not Good | 11.9% | 8.8% |
| Depression | 26.6% | 20.5% |
| Smoking | 19.1% | 11.4% |
| Binge Drinking | 19.6% | 20.1% |
| Obesity | 38.2% | 27.5% |
| Disability Percentage | 9.0% | 8.0% |
Health Statistics Comparison: Phillipsburg vs Buda
- More residents in Phillipsburg report poor mental health at 18.4% compared to 14.6% in Buda.
- Depression is more prevalent in Phillipsburg at 26.6% compared to 20.5% in Buda.
- Smoking is more prevalent in Phillipsburg at 19.1% compared to 11.4% in Buda.
- More residents engage in binge drinking in Buda at 20.1% compared to 19.6% in Phillipsburg.
- Obesity rates are higher in Phillipsburg at 38.2% compared to 27.5% in Buda.
- Disability percentages are higher in Phillipsburg at 9.0% 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 | Phillipsburg | Buda |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (49) |
| High School Diploma | 16.9% (84) | 10.4% (1,668) |
| Less than High School | 10.1% (50) | 3.3% (532) |
| Bachelor's Degree and Higher | 9.1% (45) | 30.8% (4,960) |
Education Levels Comparison: Phillipsburg vs Buda
- In Buda, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Phillipsburg.
- A higher percentage of residents in Phillipsburg hold a high school diploma at 16.9% compared to 10.4% in Buda.
- More residents in Phillipsburg have less than a high school education at 10.1% compared to 3.3% in Buda.
- In Buda, a larger share of residents have a bachelor's degree or higher at 30.8% compared to 9.1% in Phillipsburg.
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.