Demographics details for Pflugerville, TX vs Boyle, MS
Population Overview
Compare main population characteristics in Pflugerville, TX vs Boyle, MS.
Data | Pflugerville | Boyle |
---|---|---|
Population | 65,556 | 499 |
Median Age | 37.1 years | 36.7 years |
Median Income | $111,151 | $33,750 |
Married Families | 43.0% | 25.0% |
Poverty Level | 6% | 20% |
Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Pflugerville vs Boyle
- In Pflugerville, the population is higher at 65,556, compared to 499 in Boyle.
- Residents in Pflugerville have a higher median age of 37.1 years compared to 36.7 years in Boyle.
- Pflugerville has a higher median income of $111,151 compared to $33,750 in Boyle.
- A higher percentage of married families is found in Pflugerville at 43.0% compared to 25.0% in Boyle.
- The poverty level is higher in Boyle at 20%, compared to 6% in Pflugerville.
- Boyle has a higher unemployment rate at 4.5% compared to 4.1% in Pflugerville.
Demographics
Demographics Pflugerville vs Boyle provide insight into the diversity of the communities to compare.
Demographic | Pflugerville | Boyle |
---|---|---|
Black | 17 | 50 |
White | 28 | 50 |
Asian | 8 | Data is updating |
Hispanic | 33 | Data is updating |
Two or More Races | 14 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pflugerville vs Boyle
- In Boyle, the percentage of Black residents is higher at 50% compared to 17% in Pflugerville.
- The percentage of White residents is higher in Boyle at 50% compared to 28% in Pflugerville.
- The Asian population is larger in Pflugerville at 8% compared to 0% in Boyle.
- The Hispanic community is larger in Pflugerville at 33% compared to 0% in Boyle.
- More residents identify as two or more races in Pflugerville at 14% compared to 0% in Boyle.
- The percentage of American Indian residents is the same in both Pflugerville and Boyle at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pflugerville | Boyle |
---|---|---|
Mental Health Not Good | 15.2% | 17.4% |
Physical Health Not Good | 9.5% | 13.3% |
Depression | 20.8% | 20.4% |
Smoking | 11.5% | 20.5% |
Binge Drinking | 19.9% | 13.0% |
Obesity | 28.2% | 41.3% |
Disability Percentage | 9.0% | 48.0% |
Health Statistics Comparison: Pflugerville vs Boyle
- In Boyle, a higher percentage report poor mental health at 17.4% compared to 15.2% in Pflugerville.
- Depression is more prevalent in Pflugerville at 20.8% compared to 20.4% in Boyle.
- Boyle has a higher smoking rate at 20.5% compared to 11.5% in Pflugerville.
- Binge drinking is more common in Pflugerville at 19.9% compared to 13.0% in Boyle.
- Boyle has higher obesity rates at 41.3% compared to 28.2% in Pflugerville.
- There is a higher percentage of disabled individuals in Boyle at 48.0% compared to 9.0% in Pflugerville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pflugerville | Boyle |
---|---|---|
No Schooling | 0.8% (519) | 0.0% (Data is updating) |
High School Diploma | 12.1% (7,925) | 16.2% (81) |
Less than High School | 7.6% (4,951) | 17.0% (85) |
Bachelor's Degree and Higher | 27.3% (17,919) | 41.7% (208) |
Education Levels Comparison: Pflugerville vs Boyle
- A higher percentage of residents in Pflugerville have no formal schooling at 0.8% compared to 0.0% in Boyle.
- In Boyle, the rate of residents with high school diplomas is higher at 16.2% compared to 12.1% in Pflugerville.
- The percentage of residents with less than a high school education is higher in Boyle at 17.0%, compared to 7.6% in Pflugerville.
- In Boyle, a larger share of residents have a bachelor's degree or higher at 41.7% compared to 27.3% in Pflugerville.
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.