Demographics details for Dadeville, AL vs Sanborn, NY
Population Overview
Compare main population characteristics in Dadeville, AL vs Sanborn, NY.
| Data | Dadeville | Sanborn |
|---|---|---|
| Population | 3,001 | 1,499 |
| Median Age | 42.8 years | 35.2 years |
| Median Income | $46,477 | $75,109 |
| Married Families | 36.0% | 34.0% |
| Poverty Level | 14% | 9% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Dadeville vs Sanborn
- In Dadeville, the population is higher at 3,001, compared to 1,499 in Sanborn.
- Residents in Dadeville have a higher median age of 42.8 years compared to 35.2 years in Sanborn.
- Sanborn has a higher median income of $75,109, compared to $46,477 in Dadeville.
- A higher percentage of married families is found in Dadeville at 36.0% compared to 34.0% in Sanborn.
- Dadeville has a higher poverty level at 14% compared to 9% in Sanborn.
- The unemployment rate is the same in both Dadeville and Sanborn at 4.5%.
Demographics
Demographics Dadeville vs Sanborn provide insight into the diversity of the communities to compare.
| Demographic | Dadeville | Sanborn |
|---|---|---|
| Black | 35 | 1 |
| White | 64 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 1 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dadeville vs Sanborn
- A higher percentage of Black residents are in Dadeville at 35% compared to 1% in Sanborn.
- The percentage of White residents is higher in Sanborn at 94% compared to 64% in Dadeville.
- Both Dadeville and Sanborn have the same percentage of Asian residents at 0%.
- Sanborn has a higher percentage of Hispanic residents at 1%, compared to 0% in Dadeville.
- The percentage of residents identifying as two or more races is higher in Sanborn at 4%, compared to 1% in Dadeville.
- The percentage of American Indian residents is the same in both Dadeville and Sanborn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dadeville | Sanborn |
|---|---|---|
| Mental Health Not Good | 21.6% | 15.5% |
| Physical Health Not Good | 16.7% | 9.4% |
| Depression | 23.9% | 24.9% |
| Smoking | 26.5% | 17.7% |
| Binge Drinking | 12.7% | 20.0% |
| Obesity | 46.8% | 32.9% |
| Disability Percentage | 16.0% | 9.0% |
Health Statistics Comparison: Dadeville vs Sanborn
- More residents in Dadeville report poor mental health at 21.6% compared to 15.5% in Sanborn.
- Higher depression rates are seen in Sanborn at 24.9% versus 23.9% in Dadeville.
- Smoking is more prevalent in Dadeville at 26.5% compared to 17.7% in Sanborn.
- More residents engage in binge drinking in Sanborn at 20.0% compared to 12.7% in Dadeville.
- Obesity rates are higher in Dadeville at 46.8% compared to 32.9% in Sanborn.
- Disability percentages are higher in Dadeville at 16.0% 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 | Dadeville | Sanborn |
|---|---|---|
| No Schooling | 1.1% (32) | 3.9% (58) |
| High School Diploma | 21.6% (647) | 19.6% (294) |
| Less than High School | 31.9% (956) | 16.0% (240) |
| Bachelor's Degree and Higher | 9.3% (279) | 13.9% (209) |
Education Levels Comparison: Dadeville vs Sanborn
- In Sanborn, a larger percentage of residents lack formal schooling at 3.9% compared to 1.1% in Dadeville.
- A higher percentage of residents in Dadeville hold a high school diploma at 21.6% compared to 19.6% in Sanborn.
- More residents in Dadeville have less than a high school education at 31.9% compared to 16.0% in Sanborn.
- In Sanborn, a larger share of residents have a bachelor's degree or higher at 13.9% compared to 9.3% in Dadeville.
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.