Demographics details for Duncanville, TX vs Sanborn, NY
Population Overview
Compare main population characteristics in Duncanville, TX vs Sanborn, NY.
| Data | Duncanville | Sanborn |
|---|---|---|
| Population | 39,413 | 1,499 |
| Median Age | 36.9 years | 35.2 years |
| Median Income | $66,601 | $75,109 |
| Married Families | 36.0% | 34.0% |
| Poverty Level | 13% | 9% |
| Unemployment Rate | 4.7 | 4.5 |
Population Comparison: Duncanville vs Sanborn
- In Duncanville, the population is higher at 39,413, compared to 1,499 in Sanborn.
- Residents in Duncanville have a higher median age of 36.9 years compared to 35.2 years in Sanborn.
- Sanborn has a higher median income of $75,109, compared to $66,601 in Duncanville.
- A higher percentage of married families is found in Duncanville at 36.0% compared to 34.0% in Sanborn.
- Duncanville has a higher poverty level at 13% compared to 9% in Sanborn.
- The unemployment rate in Duncanville is higher at 4.7%, compared to 4.5% in Sanborn.
Demographics
Demographics Duncanville vs Sanborn provide insight into the diversity of the communities to compare.
| Demographic | Duncanville | Sanborn |
|---|---|---|
| Black | 33 | 1 |
| White | 10 | 94 |
| Asian | 2 | Data is updating |
| Hispanic | 43 | 1 |
| Two or More Races | 11 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Duncanville vs Sanborn
- A higher percentage of Black residents are in Duncanville at 33% compared to 1% in Sanborn.
- The percentage of White residents is higher in Sanborn at 94% compared to 10% in Duncanville.
- The Asian population is larger in Duncanville at 2% compared to 0% in Sanborn.
- The Hispanic community is larger in Duncanville at 43% compared to 1% in Sanborn.
- More residents identify as two or more races in Duncanville at 11% compared to 4% in Sanborn.
- A greater percentage of American Indian residents live in Duncanville at 1% compared to 0% in Sanborn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Duncanville | Sanborn |
|---|---|---|
| Mental Health Not Good | 17.2% | 15.5% |
| Physical Health Not Good | 12.0% | 9.4% |
| Depression | 22.0% | 24.9% |
| Smoking | 16.9% | 17.7% |
| Binge Drinking | 17.6% | 20.0% |
| Obesity | 36.6% | 32.9% |
| Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Duncanville vs Sanborn
- More residents in Duncanville report poor mental health at 17.2% compared to 15.5% in Sanborn.
- Higher depression rates are seen in Sanborn at 24.9% versus 22.0% in Duncanville.
- Sanborn has a higher smoking rate at 17.7% compared to 16.9% in Duncanville.
- More residents engage in binge drinking in Sanborn at 20.0% compared to 17.6% in Duncanville.
- Obesity rates are higher in Duncanville at 36.6% compared to 32.9% in Sanborn.
- Disability percentages are higher in Duncanville at 12.0% compared to 9.0% in Sanborn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Duncanville | Sanborn |
|---|---|---|
| No Schooling | 2.6% (1,044) | 3.9% (58) |
| High School Diploma | 16.8% (6,623) | 19.6% (294) |
| Less than High School | 21.4% (8,451) | 16.0% (240) |
| Bachelor's Degree and Higher | 15.8% (6,219) | 13.9% (209) |
Education Levels Comparison: Duncanville vs Sanborn
- In Sanborn, a larger percentage of residents lack formal schooling at 3.9% compared to 2.6% in Duncanville.
- In Sanborn, the rate of residents with high school diplomas is higher at 19.6% compared to 16.8% in Duncanville.
- More residents in Duncanville have less than a high school education at 21.4% compared to 16.0% in Sanborn.
- A higher percentage of residents in Duncanville hold a bachelor's degree or higher at 15.8% compared to 13.9% in Sanborn.
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.