Demographics details for Quincy, MA vs Elm city, NC
Population Overview
Compare main population characteristics in Quincy, MA vs Elm city, NC.
| Data | Quincy | Elm city |
|---|---|---|
| Population | 101,727 | 1,204 |
| Median Age | 38.3 years | 48.0 years |
| Median Income | $90,668 | $48,125 |
| Married Families | 39.0% | 43.0% |
| Poverty Level | 6% | 15% |
| Unemployment Rate | 4.1 | 5.1 |
Population Comparison: Quincy vs Elm city
- In Quincy, the population is higher at 101,727, compared to 1,204 in Elm city.
- The median age in Elm city is higher at 48.0 years, compared to 38.3 years in Quincy.
- Quincy has a higher median income of $90,668 compared to $48,125 in Elm city.
- In Elm city, the percentage of married families is higher at 43.0%, compared to 39.0% in Quincy.
- The poverty level is higher in Elm city at 15%, compared to 6% in Quincy.
- Elm city has a higher unemployment rate at 5.1% compared to 4.1% in Quincy.
Demographics
Demographics Quincy vs Elm city provide insight into the diversity of the communities to compare.
| Demographic | Quincy | Elm city |
|---|---|---|
| Black | 6 | 60 |
| White | 55 | 25 |
| Asian | 29 | 3 |
| Hispanic | 5 | 11 |
| Two or More Races | 5 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Quincy vs Elm city
- In Elm city, the percentage of Black residents is higher at 60% compared to 6% in Quincy.
- Quincy has a higher percentage of White residents at 55% compared to 25% in Elm city.
- The Asian population is larger in Quincy at 29% compared to 3% in Elm city.
- Elm city has a higher percentage of Hispanic residents at 11%, compared to 5% in Quincy.
- More residents identify as two or more races in Quincy at 5% compared to 1% in Elm city.
- The percentage of American Indian residents is the same in both Quincy and Elm city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Quincy | Elm city |
|---|---|---|
| Mental Health Not Good | 14.9% | 16.8% |
| Physical Health Not Good | 9.4% | 12.0% |
| Depression | 20.0% | 21.2% |
| Smoking | 13.5% | 18.8% |
| Binge Drinking | 17.2% | 15.7% |
| Obesity | 24.6% | 37.9% |
| Disability Percentage | 11.0% | 19.0% |
Health Statistics Comparison: Quincy vs Elm city
- In Elm city, a higher percentage report poor mental health at 16.8% compared to 14.9% in Quincy.
- Higher depression rates are seen in Elm city at 21.2% versus 20.0% in Quincy.
- Elm city has a higher smoking rate at 18.8% compared to 13.5% in Quincy.
- Binge drinking is more common in Quincy at 17.2% compared to 15.7% in Elm city.
- Elm city has higher obesity rates at 37.9% compared to 24.6% in Quincy.
- There is a higher percentage of disabled individuals in Elm city at 19.0% compared to 11.0% in Quincy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Quincy | Elm city |
|---|---|---|
| No Schooling | 2.5% (2,554) | 0.7% (8) |
| High School Diploma | 14.7% (14,934) | 24.1% (290) |
| Less than High School | 10.4% (10,588) | 15.1% (182) |
| Bachelor's Degree and Higher | 36.0% (36,574) | 11.5% (139) |
Education Levels Comparison: Quincy vs Elm city
- A higher percentage of residents in Quincy have no formal schooling at 2.5% compared to 0.7% in Elm city.
- In Elm city, the rate of residents with high school diplomas is higher at 24.1% compared to 14.7% in Quincy.
- The percentage of residents with less than a high school education is higher in Elm city at 15.1%, compared to 10.4% in Quincy.
- A higher percentage of residents in Quincy hold a bachelor's degree or higher at 36.0% compared to 11.5% in Elm city.
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.