Demographics details for Sanborn, NY vs Kingman, AZ
Population Overview
Compare main population characteristics in Sanborn, NY vs Kingman, AZ.
| Data | Sanborn | Kingman |
|---|---|---|
| Population | 1,499 | 34,918 |
| Median Age | 35.2 years | 42.1 years |
| Median Income | $75,109 | $56,360 |
| Married Families | 34.0% | 37.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Sanborn vs Kingman
- The population in Kingman is higher at 34,918, compared to 1,499 in Sanborn.
- The median age in Kingman is higher at 42.1 years, compared to 35.2 years in Sanborn.
- Sanborn has a higher median income of $75,109 compared to $56,360 in Kingman.
- In Kingman, the percentage of married families is higher at 37.0%, compared to 34.0% in Sanborn.
- The poverty level is higher in Kingman at 12%, compared to 9% in Sanborn.
- The unemployment rate in Sanborn is higher at 4.5%, compared to 4.2% in Kingman.
Demographics
Demographics Sanborn vs Kingman provide insight into the diversity of the communities to compare.
| Demographic | Sanborn | Kingman |
|---|---|---|
| Black | 1 | 2 |
| White | 94 | 72 |
| Asian | Data is updating | 2 |
| Hispanic | 1 | 16 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Sanborn vs Kingman
- In Kingman, the percentage of Black residents is higher at 2% compared to 1% in Sanborn.
- Sanborn has a higher percentage of White residents at 94% compared to 72% in Kingman.
- In Kingman, the Asian population stands at 2%, greater than 0% in Sanborn.
- Kingman has a higher percentage of Hispanic residents at 16%, compared to 1% in Sanborn.
- The percentage of residents identifying as two or more races is higher in Kingman at 7%, compared to 4% in Sanborn.
- In Kingman, the percentage of American Indian residents is higher at 1%, compared to 0% in Sanborn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sanborn | Kingman |
|---|---|---|
| Mental Health Not Good | 15.5% | 18.2% |
| Physical Health Not Good | 9.4% | 12.4% |
| Depression | 24.9% | 21.2% |
| Smoking | 17.7% | 19.1% |
| Binge Drinking | 20.0% | 18.5% |
| Obesity | 32.9% | 34.5% |
| Disability Percentage | 9.0% | 18.0% |
Health Statistics Comparison: Sanborn vs Kingman
- In Kingman, a higher percentage report poor mental health at 18.2% compared to 15.5% in Sanborn.
- Depression is more prevalent in Sanborn at 24.9% compared to 21.2% in Kingman.
- Kingman has a higher smoking rate at 19.1% compared to 17.7% in Sanborn.
- Binge drinking is more common in Sanborn at 20.0% compared to 18.5% in Kingman.
- Kingman has higher obesity rates at 34.5% compared to 32.9% in Sanborn.
- There is a higher percentage of disabled individuals in Kingman at 18.0% 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 | Sanborn | Kingman |
|---|---|---|
| No Schooling | 3.9% (58) | 0.8% (266) |
| High School Diploma | 19.6% (294) | 15.7% (5,487) |
| Less than High School | 16.0% (240) | 13.6% (4,744) |
| Bachelor's Degree and Higher | 13.9% (209) | 13.7% (4,777) |
Education Levels Comparison: Sanborn vs Kingman
- A higher percentage of residents in Sanborn have no formal schooling at 3.9% compared to 0.8% in Kingman.
- A higher percentage of residents in Sanborn hold a high school diploma at 19.6% compared to 15.7% in Kingman.
- More residents in Sanborn have less than a high school education at 16.0% compared to 13.6% in Kingman.
- A higher percentage of residents in Sanborn hold a bachelor's degree or higher at 13.9% compared to 13.7% in Kingman.
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.