Demographics details for Leander, TX vs Montgomery, NY
Population Overview
Compare main population characteristics in Leander, TX vs Montgomery, NY.
| Data | Leander | Montgomery |
|---|---|---|
| Population | 74,375 | 49,623 |
| Median Age | 35.5 years | 40.6 years |
| Median Income | $129,684 | $58,033 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 4.0 | 4.2 |
Population Comparison: Leander vs Montgomery
- In Leander, the population is higher at 74,375, compared to 49,623 in Montgomery.
- The median age in Montgomery is higher at 40.6 years, compared to 35.5 years in Leander.
- Leander has a higher median income of $129,684 compared to $58,033 in Montgomery.
- A higher percentage of married families is found in Leander at 40.0% compared to 34.0% in Montgomery.
- The poverty level is higher in Montgomery at 10%, compared to 5% in Leander.
- Montgomery has a higher unemployment rate at 4.2% compared to 4.0% in Leander.
Demographics
Demographics Leander vs Montgomery provide insight into the diversity of the communities to compare.
| Demographic | Leander | Montgomery |
|---|---|---|
| Black | 5 | 3 |
| White | 57 | 74 |
| Asian | 7 | 1 |
| Hispanic | 20 | 15 |
| Two or More Races | 11 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Leander vs Montgomery
- A higher percentage of Black residents are in Leander at 5% compared to 3% in Montgomery.
- The percentage of White residents is higher in Montgomery at 74% compared to 57% in Leander.
- The Asian population is larger in Leander at 7% compared to 1% in Montgomery.
- The Hispanic community is larger in Leander at 20% compared to 15% in Montgomery.
- More residents identify as two or more races in Leander at 11% compared to 6% in Montgomery.
- In Montgomery, the percentage of American Indian residents is higher at 1%, compared to 0% in Leander.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Leander | Montgomery |
|---|---|---|
| Mental Health Not Good | 15.7% | 16.7% |
| Physical Health Not Good | 9.5% | 12.3% |
| Depression | 24.7% | 23.2% |
| Smoking | 12.4% | 20.4% |
| Binge Drinking | 17.8% | 17.8% |
| Obesity | 32.7% | 35.8% |
| Disability Percentage | 7.0% | 16.0% |
Health Statistics Comparison: Leander vs Montgomery
- In Montgomery, a higher percentage report poor mental health at 16.7% compared to 15.7% in Leander.
- Depression is more prevalent in Leander at 24.7% compared to 23.2% in Montgomery.
- Montgomery has a higher smoking rate at 20.4% compared to 12.4% in Leander.
- Binge drinking rates are similar in both Leander and Montgomery at 17.8%.
- Montgomery has higher obesity rates at 35.8% compared to 32.7% in Leander.
- There is a higher percentage of disabled individuals in Montgomery at 16.0% compared to 7.0% in Leander.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Leander | Montgomery |
|---|---|---|
| No Schooling | 0.6% (422) | 1.1% (540) |
| High School Diploma | 7.1% (5,306) | 20.6% (10,235) |
| Less than High School | 4.3% (3,162) | 14.9% (7,375) |
| Bachelor's Degree and Higher | 26.4% (19,620) | 13.7% (6,785) |
Education Levels Comparison: Leander vs Montgomery
- In Montgomery, a larger percentage of residents lack formal schooling at 1.1% compared to 0.6% in Leander.
- In Montgomery, the rate of residents with high school diplomas is higher at 20.6% compared to 7.1% in Leander.
- The percentage of residents with less than a high school education is higher in Montgomery at 14.9%, compared to 4.3% in Leander.
- A higher percentage of residents in Leander hold a bachelor's degree or higher at 26.4% compared to 13.7% 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.