Demographics details for Montgomery, NY vs Twinsburg, OH
Population Overview
Compare main population characteristics in Montgomery, NY vs Twinsburg, OH.
| Data | Montgomery | Twinsburg |
|---|---|---|
| Population | 49,623 | 19,416 |
| Median Age | 40.6 years | 43.6 years |
| Median Income | $58,033 | $91,554 |
| Married Families | 34.0% | 43.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Montgomery vs Twinsburg
- In Montgomery, the population is higher at 49,623, compared to 19,416 in Twinsburg.
- The median age in Twinsburg is higher at 43.6 years, compared to 40.6 years in Montgomery.
- Twinsburg has a higher median income of $91,554, compared to $58,033 in Montgomery.
- In Twinsburg, the percentage of married families is higher at 43.0%, compared to 34.0% in Montgomery.
- Montgomery has a higher poverty level at 10% compared to 5% in Twinsburg.
- The unemployment rate is the same in both Montgomery and Twinsburg at 4.2%.
Demographics
Demographics Montgomery vs Twinsburg provide insight into the diversity of the communities to compare.
| Demographic | Montgomery | Twinsburg |
|---|---|---|
| Black | 3 | 17 |
| White | 74 | 69 |
| Asian | 1 | 7 |
| Hispanic | 15 | 3 |
| Two or More Races | 6 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Montgomery vs Twinsburg
- In Twinsburg, the percentage of Black residents is higher at 17% compared to 3% in Montgomery.
- Montgomery has a higher percentage of White residents at 74% compared to 69% in Twinsburg.
- In Twinsburg, the Asian population stands at 7%, greater than 1% in Montgomery.
- The Hispanic community is larger in Montgomery at 15% compared to 3% in Twinsburg.
- More residents identify as two or more races in Montgomery at 6% compared to 4% in Twinsburg.
- A greater percentage of American Indian residents live in Montgomery at 1% compared to 0% in Twinsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Montgomery | Twinsburg |
|---|---|---|
| Mental Health Not Good | 16.7% | 15.1% |
| Physical Health Not Good | 12.3% | 9.3% |
| Depression | 23.2% | 22.4% |
| Smoking | 20.4% | 14.7% |
| Binge Drinking | 17.8% | 18.4% |
| Obesity | 35.8% | 38.9% |
| Disability Percentage | 16.0% | 9.0% |
Health Statistics Comparison: Montgomery vs Twinsburg
- More residents in Montgomery report poor mental health at 16.7% compared to 15.1% in Twinsburg.
- Depression is more prevalent in Montgomery at 23.2% compared to 22.4% in Twinsburg.
- Smoking is more prevalent in Montgomery at 20.4% compared to 14.7% in Twinsburg.
- More residents engage in binge drinking in Twinsburg at 18.4% compared to 17.8% in Montgomery.
- Twinsburg has higher obesity rates at 38.9% compared to 35.8% in Montgomery.
- Disability percentages are higher in Montgomery at 16.0% compared to 9.0% in Twinsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Montgomery | Twinsburg |
|---|---|---|
| No Schooling | 1.1% (540) | 0.7% (135) |
| High School Diploma | 20.6% (10,235) | 16.3% (3,173) |
| Less than High School | 14.9% (7,375) | 4.8% (931) |
| Bachelor's Degree and Higher | 13.7% (6,785) | 31.2% (6,065) |
Education Levels Comparison: Montgomery vs Twinsburg
- A higher percentage of residents in Montgomery have no formal schooling at 1.1% compared to 0.7% in Twinsburg.
- A higher percentage of residents in Montgomery hold a high school diploma at 20.6% compared to 16.3% in Twinsburg.
- More residents in Montgomery have less than a high school education at 14.9% compared to 4.8% in Twinsburg.
- In Twinsburg, a larger share of residents have a bachelor's degree or higher at 31.2% 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.