Demographics details for Franklin park, IL vs Buda, TX
Population Overview
Compare main population characteristics in Franklin park, IL vs Buda, TX.
| Data | Franklin park | Buda |
|---|---|---|
| Population | 18,059 | 16,086 |
| Median Age | 36.5 years | 36.8 years |
| Median Income | $74,167 | $105,378 |
| Married Families | 36.0% | 44.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 5.1 | 3.2 |
Population Comparison: Franklin park vs Buda
- In Franklin park, the population is higher at 18,059, compared to 16,086 in Buda.
- The median age in Buda is higher at 36.8 years, compared to 36.5 years in Franklin park.
- Buda has a higher median income of $105,378, compared to $74,167 in Franklin park.
- In Buda, the percentage of married families is higher at 44.0%, compared to 36.0% in Franklin park.
- Franklin park has a higher poverty level at 9% compared to 5% in Buda.
- The unemployment rate in Franklin park is higher at 5.1%, compared to 3.2% in Buda.
Demographics
Demographics Franklin park vs Buda provide insight into the diversity of the communities to compare.
| Demographic | Franklin park | Buda |
|---|---|---|
| Black | 1 | 1 |
| White | 10 | 59 |
| Asian | 5 | Data is updating |
| Hispanic | 59 | 30 |
| Two or More Races | 23 | 10 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Franklin park vs Buda
- The percentage of Black residents is the same in both Franklin park and Buda at 1%.
- The percentage of White residents is higher in Buda at 59% compared to 10% in Franklin park.
- The Asian population is larger in Franklin park at 5% compared to 0% in Buda.
- The Hispanic community is larger in Franklin park at 59% compared to 30% in Buda.
- More residents identify as two or more races in Franklin park at 23% compared to 10% in Buda.
- A greater percentage of American Indian residents live in Franklin park at 2% compared to 0% in Buda.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin park | Buda |
|---|---|---|
| Mental Health Not Good | 14.2% | 14.6% |
| Physical Health Not Good | 10.9% | 8.8% |
| Depression | 17.7% | 20.5% |
| Smoking | 14.4% | 11.4% |
| Binge Drinking | 18.9% | 20.1% |
| Obesity | 30.9% | 27.5% |
| Disability Percentage | 11.0% | 8.0% |
Health Statistics Comparison: Franklin park vs Buda
- In Buda, a higher percentage report poor mental health at 14.6% compared to 14.2% in Franklin park.
- Higher depression rates are seen in Buda at 20.5% versus 17.7% in Franklin park.
- Smoking is more prevalent in Franklin park at 14.4% compared to 11.4% in Buda.
- More residents engage in binge drinking in Buda at 20.1% compared to 18.9% in Franklin park.
- Obesity rates are higher in Franklin park at 30.9% compared to 27.5% in Buda.
- Disability percentages are higher in Franklin park at 11.0% 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 | Franklin park | Buda |
|---|---|---|
| No Schooling | 2.5% (453) | 0.3% (49) |
| High School Diploma | 17.0% (3,067) | 10.4% (1,668) |
| Less than High School | 30.2% (5,452) | 3.3% (532) |
| Bachelor's Degree and Higher | 12.7% (2,297) | 30.8% (4,960) |
Education Levels Comparison: Franklin park vs Buda
- A higher percentage of residents in Franklin park have no formal schooling at 2.5% compared to 0.3% in Buda.
- A higher percentage of residents in Franklin park hold a high school diploma at 17.0% compared to 10.4% in Buda.
- More residents in Franklin park have less than a high school education at 30.2% 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 12.7% in Franklin park.
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.