Demographics details for Lebanon, TN vs Montgomery, NY
Population Overview
Compare main population characteristics in Lebanon, TN vs Montgomery, NY.
| Data | Lebanon | Montgomery |
|---|---|---|
| Population | 44,166 | 49,623 |
| Median Age | 35.6 years | 40.6 years |
| Median Income | $63,698 | $58,033 |
| Married Families | 33.0% | 34.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Lebanon vs Montgomery
- The population in Montgomery is higher at 49,623, compared to 44,166 in Lebanon.
- The median age in Montgomery is higher at 40.6 years, compared to 35.6 years in Lebanon.
- Lebanon has a higher median income of $63,698 compared to $58,033 in Montgomery.
- In Montgomery, the percentage of married families is higher at 34.0%, compared to 33.0% in Lebanon.
- The poverty level is higher in Montgomery at 10%, compared to 9% in Lebanon.
- Montgomery has a higher unemployment rate at 4.2% compared to 3.5% in Lebanon.
Demographics
Demographics Lebanon vs Montgomery provide insight into the diversity of the communities to compare.
| Demographic | Lebanon | Montgomery |
|---|---|---|
| Black | 10 | 3 |
| White | 76 | 74 |
| Asian | 1 | 1 |
| Hispanic | 6 | 15 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lebanon vs Montgomery
- A higher percentage of Black residents are in Lebanon at 10% compared to 3% in Montgomery.
- Lebanon has a higher percentage of White residents at 76% compared to 74% in Montgomery.
- Both Lebanon and Montgomery have the same percentage of Asian residents at 1%.
- Montgomery has a higher percentage of Hispanic residents at 15%, compared to 6% in Lebanon.
- More residents identify as two or more races in Lebanon at 7% compared to 6% in Montgomery.
- In Montgomery, the percentage of American Indian residents is higher at 1%, compared to 0% in Lebanon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lebanon | Montgomery |
|---|---|---|
| Mental Health Not Good | 18.8% | 16.7% |
| Physical Health Not Good | 13.2% | 12.3% |
| Depression | 27.5% | 23.2% |
| Smoking | 21.4% | 20.4% |
| Binge Drinking | 15.3% | 17.8% |
| Obesity | 34.4% | 35.8% |
| Disability Percentage | 12.0% | 16.0% |
Health Statistics Comparison: Lebanon vs Montgomery
- More residents in Lebanon report poor mental health at 18.8% compared to 16.7% in Montgomery.
- Depression is more prevalent in Lebanon at 27.5% compared to 23.2% in Montgomery.
- Smoking is more prevalent in Lebanon at 21.4% compared to 20.4% in Montgomery.
- More residents engage in binge drinking in Montgomery at 17.8% compared to 15.3% in Lebanon.
- Montgomery has higher obesity rates at 35.8% compared to 34.4% in Lebanon.
- There is a higher percentage of disabled individuals in Montgomery at 16.0% compared to 12.0% in Lebanon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lebanon | Montgomery |
|---|---|---|
| No Schooling | 0.5% (228) | 1.1% (540) |
| High School Diploma | 16.2% (7,138) | 20.6% (10,235) |
| Less than High School | 9.6% (4,258) | 14.9% (7,375) |
| Bachelor's Degree and Higher | 18.2% (8,041) | 13.7% (6,785) |
Education Levels Comparison: Lebanon vs Montgomery
- In Montgomery, a larger percentage of residents lack formal schooling at 1.1% compared to 0.5% in Lebanon.
- In Montgomery, the rate of residents with high school diplomas is higher at 20.6% compared to 16.2% in Lebanon.
- The percentage of residents with less than a high school education is higher in Montgomery at 14.9%, compared to 9.6% in Lebanon.
- A higher percentage of residents in Lebanon hold a bachelor's degree or higher at 18.2% 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.