Demographics details for Duncanville, TX vs Snover, MI
Population Overview
Compare main population characteristics in Duncanville, TX vs Snover, MI.
Data | Duncanville | Snover |
---|---|---|
Population | 39,413 | 260 |
Median Age | 36.9 years | 51.5 years |
Median Income | $66,601 | $44,948 |
Married Families | 36.0% | 41.0% |
Poverty Level | 13% | 9% |
Unemployment Rate | 4.7 | 4.5 |
Population Comparison: Duncanville vs Snover
- In Duncanville, the population is higher at 39,413, compared to 260 in Snover.
- The median age in Snover is higher at 51.5 years, compared to 36.9 years in Duncanville.
- Duncanville has a higher median income of $66,601 compared to $44,948 in Snover.
- In Snover, the percentage of married families is higher at 41.0%, compared to 36.0% in Duncanville.
- Duncanville has a higher poverty level at 13% compared to 9% in Snover.
- The unemployment rate in Duncanville is higher at 4.7%, compared to 4.5% in Snover.
Demographics
Demographics Duncanville vs Snover provide insight into the diversity of the communities to compare.
Demographic | Duncanville | Snover |
---|---|---|
Black | 33 | Data is updating |
White | 10 | 97 |
Asian | 2 | 3 |
Hispanic | 43 | Data is updating |
Two or More Races | 11 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Duncanville vs Snover
- A higher percentage of Black residents are in Duncanville at 33% compared to 0% in Snover.
- The percentage of White residents is higher in Snover at 97% compared to 10% in Duncanville.
- In Snover, the Asian population stands at 3%, greater than 2% in Duncanville.
- The Hispanic community is larger in Duncanville at 43% compared to 0% in Snover.
- More residents identify as two or more races in Duncanville at 11% compared to 0% in Snover.
- A greater percentage of American Indian residents live in Duncanville at 1% compared to 0% in Snover.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Duncanville | Snover |
---|---|---|
Mental Health Not Good | 17.2% | 18.9% |
Physical Health Not Good | 12.0% | 12.8% |
Depression | 22.0% | 26.5% |
Smoking | 16.9% | 22.9% |
Binge Drinking | 17.6% | 17.4% |
Obesity | 36.6% | 35.3% |
Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: Duncanville vs Snover
- In Snover, a higher percentage report poor mental health at 18.9% compared to 17.2% in Duncanville.
- Higher depression rates are seen in Snover at 26.5% versus 22.0% in Duncanville.
- Snover has a higher smoking rate at 22.9% compared to 16.9% in Duncanville.
- Binge drinking is more common in Duncanville at 17.6% compared to 17.4% in Snover.
- Obesity rates are higher in Duncanville at 36.6% compared to 35.3% in Snover.
- There is a higher percentage of disabled individuals in Snover at 17.0% compared to 12.0% in Duncanville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Duncanville | Snover |
---|---|---|
No Schooling | 2.6% (1,044) | 0.0% (Data is updating) |
High School Diploma | 16.8% (6,623) | 36.5% (95) |
Less than High School | 21.4% (8,451) | 29.2% (76) |
Bachelor's Degree and Higher | 15.8% (6,219) | 1.9% (5) |
Education Levels Comparison: Duncanville vs Snover
- A higher percentage of residents in Duncanville have no formal schooling at 2.6% compared to 0.0% in Snover.
- In Snover, the rate of residents with high school diplomas is higher at 36.5% compared to 16.8% in Duncanville.
- The percentage of residents with less than a high school education is higher in Snover at 29.2%, compared to 21.4% in Duncanville.
- A higher percentage of residents in Duncanville hold a bachelor's degree or higher at 15.8% compared to 1.9% in Snover.
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.