Demographics details for Vass, NC vs Montgomery, AL
Population Overview
Compare main population characteristics in Vass, NC vs Montgomery, AL.
| Data | Vass | Montgomery |
|---|---|---|
| Population | 1,002 | 196,986 |
| Median Age | 29.0 years | 36.1 years |
| Median Income | $59,375 | $54,166 |
| Married Families | 46.0% | 28.0% |
| Poverty Level | 11% | 15% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Vass vs Montgomery
- The population in Montgomery is higher at 196,986, compared to 1,002 in Vass.
- The median age in Montgomery is higher at 36.1 years, compared to 29.0 years in Vass.
- Vass has a higher median income of $59,375 compared to $54,166 in Montgomery.
- A higher percentage of married families is found in Vass at 46.0% compared to 28.0% in Montgomery.
- The poverty level is higher in Montgomery at 15%, compared to 11% in Vass.
- The unemployment rate is the same in both Vass and Montgomery at 3.2%.
Demographics
Demographics Vass vs Montgomery provide insight into the diversity of the communities to compare.
| Demographic | Vass | Montgomery |
|---|---|---|
| Black | 33 | 64 |
| White | 30 | 25 |
| Asian | 1 | 4 |
| Hispanic | 6 | 4 |
| Two or More Races | 30 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Vass vs Montgomery
- In Montgomery, the percentage of Black residents is higher at 64% compared to 33% in Vass.
- Vass has a higher percentage of White residents at 30% compared to 25% in Montgomery.
- In Montgomery, the Asian population stands at 4%, greater than 1% in Vass.
- The Hispanic community is larger in Vass at 6% compared to 4% in Montgomery.
- More residents identify as two or more races in Vass at 30% compared to 3% in Montgomery.
- The percentage of American Indian residents is the same in both Vass and Montgomery at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Vass | Montgomery |
|---|---|---|
| Mental Health Not Good | 15.1% | 18.8% |
| Physical Health Not Good | 10.2% | 13.3% |
| Depression | 23.5% | 20.2% |
| Smoking | 14.6% | 18.9% |
| Binge Drinking | 19.2% | 14.2% |
| Obesity | 33.1% | 38.4% |
| Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Vass vs Montgomery
- In Montgomery, a higher percentage report poor mental health at 18.8% compared to 15.1% in Vass.
- Depression is more prevalent in Vass at 23.5% compared to 20.2% in Montgomery.
- Montgomery has a higher smoking rate at 18.9% compared to 14.6% in Vass.
- Binge drinking is more common in Vass at 19.2% compared to 14.2% in Montgomery.
- Montgomery has higher obesity rates at 38.4% compared to 33.1% in Vass.
- There is a higher percentage of disabled individuals in Montgomery at 17.0% compared to 11.0% in Vass.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Vass | Montgomery |
|---|---|---|
| No Schooling | 0.9% (9) | 0.8% (1,627) |
| High School Diploma | 8.6% (86) | 14.0% (27,586) |
| Less than High School | 11.5% (115) | 10.0% (19,602) |
| Bachelor's Degree and Higher | 16.2% (162) | 22.1% (43,498) |
Education Levels Comparison: Vass vs Montgomery
- A higher percentage of residents in Vass have no formal schooling at 0.9% compared to 0.8% in Montgomery.
- In Montgomery, the rate of residents with high school diplomas is higher at 14.0% compared to 8.6% in Vass.
- More residents in Vass have less than a high school education at 11.5% compared to 10.0% in Montgomery.
- In Montgomery, a larger share of residents have a bachelor's degree or higher at 22.1% compared to 16.2% in Vass.
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.