Demographics details for Bryan, TX vs Montour falls, NY
Population Overview
Compare main population characteristics in Bryan, TX vs Montour falls, NY.
| Data | Bryan | Montour falls |
|---|---|---|
| Population | 87,792 | 1,583 |
| Median Age | 30.8 years | 44.8 years |
| Median Income | $55,234 | $33,977 |
| Married Families | 30.0% | 39.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Bryan vs Montour falls
- In Bryan, the population is higher at 87,792, compared to 1,583 in Montour falls.
- The median age in Montour falls is higher at 44.8 years, compared to 30.8 years in Bryan.
- Bryan has a higher median income of $55,234 compared to $33,977 in Montour falls.
- In Montour falls, the percentage of married families is higher at 39.0%, compared to 30.0% in Bryan.
- Bryan has a higher poverty level at 12% compared to 10% in Montour falls.
- Montour falls has a higher unemployment rate at 5.2% compared to 3.5% in Bryan.
Demographics
Demographics Bryan vs Montour falls provide insight into the diversity of the communities to compare.
| Demographic | Bryan | Montour falls |
|---|---|---|
| Black | 17 | 2 |
| White | 32 | 92 |
| Asian | 2 | Data is updating |
| Hispanic | 39 | 1 |
| Two or More Races | 10 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bryan vs Montour falls
- A higher percentage of Black residents are in Bryan at 17% compared to 2% in Montour falls.
- The percentage of White residents is higher in Montour falls at 92% compared to 32% in Bryan.
- The Asian population is larger in Bryan at 2% compared to 0% in Montour falls.
- The Hispanic community is larger in Bryan at 39% compared to 1% in Montour falls.
- More residents identify as two or more races in Bryan at 10% compared to 4% in Montour falls.
- In Montour falls, the percentage of American Indian residents is higher at 1%, compared to 0% in Bryan.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bryan | Montour falls |
|---|---|---|
| Mental Health Not Good | 18.3% | 17.3% |
| Physical Health Not Good | 13.3% | 11.3% |
| Depression | 23.4% | 25.1% |
| Smoking | 19.0% | 21.1% |
| Binge Drinking | 17.5% | 19.5% |
| Obesity | 37.6% | 35.2% |
| Disability Percentage | 10.0% | 26.0% |
Health Statistics Comparison: Bryan vs Montour falls
- More residents in Bryan report poor mental health at 18.3% compared to 17.3% in Montour falls.
- Higher depression rates are seen in Montour falls at 25.1% versus 23.4% in Bryan.
- Montour falls has a higher smoking rate at 21.1% compared to 19.0% in Bryan.
- More residents engage in binge drinking in Montour falls at 19.5% compared to 17.5% in Bryan.
- Obesity rates are higher in Bryan at 37.6% compared to 35.2% in Montour falls.
- There is a higher percentage of disabled individuals in Montour falls at 26.0% compared to 10.0% in Bryan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bryan | Montour falls |
|---|---|---|
| No Schooling | 1.9% (1,671) | 0.0% (Data is updating) |
| High School Diploma | 12.6% (11,104) | 25.2% (399) |
| Less than High School | 18.8% (16,492) | 14.5% (230) |
| Bachelor's Degree and Higher | 17.4% (15,279) | 15.5% (245) |
Education Levels Comparison: Bryan vs Montour falls
- A higher percentage of residents in Bryan have no formal schooling at 1.9% compared to 0.0% in Montour falls.
- In Montour falls, the rate of residents with high school diplomas is higher at 25.2% compared to 12.6% in Bryan.
- More residents in Bryan have less than a high school education at 18.8% compared to 14.5% in Montour falls.
- A higher percentage of residents in Bryan hold a bachelor's degree or higher at 17.4% compared to 15.5% in Montour falls.
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.