Demographics details for Buda, TX vs Montgomery, IL
Population Overview
Compare main population characteristics in Buda, TX vs Montgomery, IL.
| Data | Buda | Montgomery |
|---|---|---|
| Population | 16,086 | 21,799 |
| Median Age | 36.8 years | 31.7 years |
| Median Income | $105,378 | $105,240 |
| Married Families | 44.0% | 36.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Buda vs Montgomery
- The population in Montgomery is higher at 21,799, compared to 16,086 in Buda.
- Residents in Buda have a higher median age of 36.8 years compared to 31.7 years in Montgomery.
- Buda has a higher median income of $105,378 compared to $105,240 in Montgomery.
- A higher percentage of married families is found in Buda at 44.0% compared to 36.0% in Montgomery.
- The poverty level is identical in both Buda and Montgomery at 5%.
- Montgomery has a higher unemployment rate at 3.5% compared to 3.2% in Buda.
Demographics
Demographics Buda vs Montgomery provide insight into the diversity of the communities to compare.
| Demographic | Buda | Montgomery |
|---|---|---|
| Black | 1 | 5 |
| White | 59 | 52 |
| Asian | Data is updating | 1 |
| Hispanic | 30 | 31 |
| Two or More Races | 10 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Buda vs Montgomery
- In Montgomery, the percentage of Black residents is higher at 5% compared to 1% in Buda.
- Buda has a higher percentage of White residents at 59% compared to 52% in Montgomery.
- In Montgomery, the Asian population stands at 1%, greater than 0% in Buda.
- Montgomery has a higher percentage of Hispanic residents at 31%, compared to 30% in Buda.
- The percentage of residents identifying as two or more races is higher in Montgomery at 11%, compared to 10% in Buda.
- The percentage of American Indian residents is the same in both Buda and Montgomery at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Buda | Montgomery |
|---|---|---|
| Mental Health Not Good | 14.6% | 14.6% |
| Physical Health Not Good | 8.8% | 10.3% |
| Depression | 20.5% | 18.8% |
| Smoking | 11.4% | 14.1% |
| Binge Drinking | 20.1% | 17.3% |
| Obesity | 27.5% | 34.4% |
| Disability Percentage | 8.0% | 4.0% |
Health Statistics Comparison: Buda vs Montgomery
- Poor mental health levels are equal in both Buda and Montgomery at 14.6%.
- Depression is more prevalent in Buda at 20.5% compared to 18.8% in Montgomery.
- Montgomery has a higher smoking rate at 14.1% compared to 11.4% in Buda.
- Binge drinking is more common in Buda at 20.1% compared to 17.3% in Montgomery.
- Montgomery has higher obesity rates at 34.4% compared to 27.5% in Buda.
- Disability percentages are higher in Buda at 8.0% compared to 4.0% in Montgomery.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Buda | Montgomery |
|---|---|---|
| No Schooling | 0.3% (49) | 1.2% (255) |
| High School Diploma | 10.4% (1,668) | 15.6% (3,406) |
| Less than High School | 3.3% (532) | 8.2% (1,792) |
| Bachelor's Degree and Higher | 30.8% (4,960) | 15.5% (3,372) |
Education Levels Comparison: Buda vs Montgomery
- In Montgomery, a larger percentage of residents lack formal schooling at 1.2% compared to 0.3% in Buda.
- In Montgomery, the rate of residents with high school diplomas is higher at 15.6% compared to 10.4% in Buda.
- The percentage of residents with less than a high school education is higher in Montgomery at 8.2%, 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 15.5% in Montgomery.
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.