Demographics details for Montgomery, NY vs Seattle, WA
Population Overview
Compare main population characteristics in Montgomery, NY vs Seattle, WA.
| Data | Montgomery | Seattle |
|---|---|---|
| Population | 49,623 | 749,256 |
| Median Age | 40.6 years | 35.4 years |
| Median Income | $58,033 | $116,068 |
| Married Families | 34.0% | 35.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 4.2 | 4.6 |
Population Comparison: Montgomery vs Seattle
- The population in Seattle is higher at 749,256, compared to 49,623 in Montgomery.
- Residents in Montgomery have a higher median age of 40.6 years compared to 35.4 years in Seattle.
- Seattle has a higher median income of $116,068, compared to $58,033 in Montgomery.
- In Seattle, the percentage of married families is higher at 35.0%, compared to 34.0% in Montgomery.
- Montgomery has a higher poverty level at 10% compared to 9% in Seattle.
- Seattle has a higher unemployment rate at 4.6% compared to 4.2% in Montgomery.
Demographics
Demographics Montgomery vs Seattle provide insight into the diversity of the communities to compare.
| Demographic | Montgomery | Seattle |
|---|---|---|
| Black | 3 | 7 |
| White | 74 | 59 |
| Asian | 1 | 17 |
| Hispanic | 15 | 7 |
| Two or More Races | 6 | 9 |
| American Indian | 1 | 1 |
Demographics Comparison: Montgomery vs Seattle
- In Seattle, the percentage of Black residents is higher at 7% compared to 3% in Montgomery.
- Montgomery has a higher percentage of White residents at 74% compared to 59% in Seattle.
- In Seattle, the Asian population stands at 17%, greater than 1% in Montgomery.
- The Hispanic community is larger in Montgomery at 15% compared to 7% in Seattle.
- The percentage of residents identifying as two or more races is higher in Seattle at 9%, compared to 6% in Montgomery.
- The percentage of American Indian residents is the same in both Montgomery and Seattle at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Montgomery | Seattle |
|---|---|---|
| Mental Health Not Good | 16.7% | 15.1% |
| Physical Health Not Good | 12.3% | 8.5% |
| Depression | 23.2% | 23.6% |
| Smoking | 20.4% | 8.6% |
| Binge Drinking | 17.8% | 17.6% |
| Obesity | 35.8% | 23.8% |
| Disability Percentage | 16.0% | 9.0% |
Health Statistics Comparison: Montgomery vs Seattle
- More residents in Montgomery report poor mental health at 16.7% compared to 15.1% in Seattle.
- Higher depression rates are seen in Seattle at 23.6% versus 23.2% in Montgomery.
- Smoking is more prevalent in Montgomery at 20.4% compared to 8.6% in Seattle.
- Binge drinking is more common in Montgomery at 17.8% compared to 17.6% in Seattle.
- Obesity rates are higher in Montgomery at 35.8% compared to 23.8% in Seattle.
- Disability percentages are higher in Montgomery at 16.0% compared to 9.0% in Seattle.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Montgomery | Seattle |
|---|---|---|
| No Schooling | 1.1% (540) | 0.9% (6,839) |
| High School Diploma | 20.6% (10,235) | 5.8% (43,106) |
| Less than High School | 14.9% (7,375) | 4.7% (35,004) |
| Bachelor's Degree and Higher | 13.7% (6,785) | 49.4% (369,798) |
Education Levels Comparison: Montgomery vs Seattle
- A higher percentage of residents in Montgomery have no formal schooling at 1.1% compared to 0.9% in Seattle.
- A higher percentage of residents in Montgomery hold a high school diploma at 20.6% compared to 5.8% in Seattle.
- More residents in Montgomery have less than a high school education at 14.9% compared to 4.7% in Seattle.
- In Seattle, a larger share of residents have a bachelor's degree or higher at 49.4% 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.