Demographics details for Bellevue, NE vs Montgomery, NY
Population Overview
Compare main population characteristics in Bellevue, NE vs Montgomery, NY.
| Data | Bellevue | Montgomery |
|---|---|---|
| Population | 63,015 | 49,623 |
| Median Age | 35.5 years | 40.6 years |
| Median Income | $79,839 | $58,033 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.7 | 4.2 |
Population Comparison: Bellevue vs Montgomery
- In Bellevue, the population is higher at 63,015, compared to 49,623 in Montgomery.
- The median age in Montgomery is higher at 40.6 years, compared to 35.5 years in Bellevue.
- Bellevue has a higher median income of $79,839 compared to $58,033 in Montgomery.
- A higher percentage of married families is found in Bellevue at 40.0% compared to 34.0% in Montgomery.
- The poverty level is higher in Montgomery at 10%, compared to 5% in Bellevue.
- Montgomery has a higher unemployment rate at 4.2% compared to 3.7% in Bellevue.
Demographics
Demographics Bellevue vs Montgomery provide insight into the diversity of the communities to compare.
| Demographic | Bellevue | Montgomery |
|---|---|---|
| Black | 6 | 3 |
| White | 64 | 74 |
| Asian | 3 | 1 |
| Hispanic | 18 | 15 |
| Two or More Races | 8 | 6 |
| American Indian | 1 | 1 |
Demographics Comparison: Bellevue vs Montgomery
- A higher percentage of Black residents are in Bellevue at 6% compared to 3% in Montgomery.
- The percentage of White residents is higher in Montgomery at 74% compared to 64% in Bellevue.
- The Asian population is larger in Bellevue at 3% compared to 1% in Montgomery.
- The Hispanic community is larger in Bellevue at 18% compared to 15% in Montgomery.
- More residents identify as two or more races in Bellevue at 8% compared to 6% in Montgomery.
- The percentage of American Indian residents is the same in both Bellevue and Montgomery at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bellevue | Montgomery |
|---|---|---|
| Mental Health Not Good | 13.6% | 16.7% |
| Physical Health Not Good | 9.0% | 12.3% |
| Depression | 17.9% | 23.2% |
| Smoking | 14.8% | 20.4% |
| Binge Drinking | 20.0% | 17.8% |
| Obesity | 39.0% | 35.8% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Bellevue vs Montgomery
- In Montgomery, a higher percentage report poor mental health at 16.7% compared to 13.6% in Bellevue.
- Higher depression rates are seen in Montgomery at 23.2% versus 17.9% in Bellevue.
- Montgomery has a higher smoking rate at 20.4% compared to 14.8% in Bellevue.
- Binge drinking is more common in Bellevue at 20.0% compared to 17.8% in Montgomery.
- Obesity rates are higher in Bellevue at 39.0% compared to 35.8% in Montgomery.
- There is a higher percentage of disabled individuals in Montgomery at 16.0% compared to 13.0% in Bellevue.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bellevue | Montgomery |
|---|---|---|
| No Schooling | 1.1% (704) | 1.1% (540) |
| High School Diploma | 14.1% (8,886) | 20.6% (10,235) |
| Less than High School | 8.1% (5,118) | 14.9% (7,375) |
| Bachelor's Degree and Higher | 21.5% (13,527) | 13.7% (6,785) |
Education Levels Comparison: Bellevue vs Montgomery
- The percentage of residents with no formal schooling is the same in both Bellevue and Montgomery at 1.1%.
- In Montgomery, the rate of residents with high school diplomas is higher at 20.6% compared to 14.1% in Bellevue.
- The percentage of residents with less than a high school education is higher in Montgomery at 14.9%, compared to 8.1% in Bellevue.
- A higher percentage of residents in Bellevue hold a bachelor's degree or higher at 21.5% 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.