Demographics details for Montgomery, NY vs Eubank, KY
Population Overview
Compare main population characteristics in Montgomery, NY vs Eubank, KY.
| Data | Montgomery | Eubank |
|---|---|---|
| Population | 49,623 | 323 |
| Median Age | 40.6 years | 33.4 years |
| Median Income | $58,033 | $44,205 |
| Married Families | 34.0% | 53.0% |
| Poverty Level | 10% | 17% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Montgomery vs Eubank
- In Montgomery, the population is higher at 49,623, compared to 323 in Eubank.
- Residents in Montgomery have a higher median age of 40.6 years compared to 33.4 years in Eubank.
- Montgomery has a higher median income of $58,033 compared to $44,205 in Eubank.
- In Eubank, the percentage of married families is higher at 53.0%, compared to 34.0% in Montgomery.
- The poverty level is higher in Eubank at 17%, compared to 10% in Montgomery.
- Eubank has a higher unemployment rate at 4.5% compared to 4.2% in Montgomery.
Demographics
Demographics Montgomery vs Eubank provide insight into the diversity of the communities to compare.
| Demographic | Montgomery | Eubank |
|---|---|---|
| Black | 3 | Data is updating |
| White | 74 | 100 |
| Asian | 1 | Data is updating |
| Hispanic | 15 | Data is updating |
| Two or More Races | 6 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Montgomery vs Eubank
- A higher percentage of Black residents are in Montgomery at 3% compared to 0% in Eubank.
- The percentage of White residents is higher in Eubank at 100% compared to 74% in Montgomery.
- The Asian population is larger in Montgomery at 1% compared to 0% in Eubank.
- The Hispanic community is larger in Montgomery at 15% compared to 0% in Eubank.
- More residents identify as two or more races in Montgomery at 6% compared to 0% in Eubank.
- A greater percentage of American Indian residents live in Montgomery at 1% compared to 0% in Eubank.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Montgomery | Eubank |
|---|---|---|
| Mental Health Not Good | 16.7% | 21.1% |
| Physical Health Not Good | 12.3% | 16.6% |
| Depression | 23.2% | 31.3% |
| Smoking | 20.4% | 25.6% |
| Binge Drinking | 17.8% | 14.0% |
| Obesity | 35.8% | 40.0% |
| Disability Percentage | 16.0% | 33.0% |
Health Statistics Comparison: Montgomery vs Eubank
- In Eubank, a higher percentage report poor mental health at 21.1% compared to 16.7% in Montgomery.
- Higher depression rates are seen in Eubank at 31.3% versus 23.2% in Montgomery.
- Eubank has a higher smoking rate at 25.6% compared to 20.4% in Montgomery.
- Binge drinking is more common in Montgomery at 17.8% compared to 14.0% in Eubank.
- Eubank has higher obesity rates at 40.0% compared to 35.8% in Montgomery.
- There is a higher percentage of disabled individuals in Eubank at 33.0% compared to 16.0% in Montgomery.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Montgomery | Eubank |
|---|---|---|
| No Schooling | 1.1% (540) | 0.0% (Data is updating) |
| High School Diploma | 20.6% (10,235) | 41.2% (133) |
| Less than High School | 14.9% (7,375) | 21.7% (70) |
| Bachelor's Degree and Higher | 13.7% (6,785) | 0.9% (3) |
Education Levels Comparison: Montgomery vs Eubank
- A higher percentage of residents in Montgomery have no formal schooling at 1.1% compared to 0.0% in Eubank.
- In Eubank, the rate of residents with high school diplomas is higher at 41.2% compared to 20.6% in Montgomery.
- The percentage of residents with less than a high school education is higher in Eubank at 21.7%, compared to 14.9% in Montgomery.
- A higher percentage of residents in Montgomery hold a bachelor's degree or higher at 13.7% compared to 0.9% in Eubank.
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.