Demographics details for Sanborn, NY vs Marshall, CA
Population Overview
Compare main population characteristics in Sanborn, NY vs Marshall, CA.
| Data | Sanborn | Marshall |
|---|---|---|
| Population | 1,499 | 533 |
| Median Age | 35.2 years | 42.0 years |
| Median Income | $75,109 | $90,000 |
| Married Families | 34.0% | 60.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 4.5 | 3.0 |
Population Comparison: Sanborn vs Marshall
- In Sanborn, the population is higher at 1,499, compared to 533 in Marshall.
- The median age in Marshall is higher at 42.0 years, compared to 35.2 years in Sanborn.
- Marshall has a higher median income of $90,000, compared to $75,109 in Sanborn.
- In Marshall, the percentage of married families is higher at 60.0%, compared to 34.0% in Sanborn.
- Sanborn has a higher poverty level at 9% compared to 5% in Marshall.
- The unemployment rate in Sanborn is higher at 4.5%, compared to 3.0% in Marshall.
Demographics
Demographics Sanborn vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Sanborn | Marshall |
|---|---|---|
| Black | 1 | Data is updating |
| White | 94 | 90 |
| Asian | Data is updating | 2 |
| Hispanic | 1 | 5 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sanborn vs Marshall
- A higher percentage of Black residents are in Sanborn at 1% compared to 0% in Marshall.
- Sanborn has a higher percentage of White residents at 94% compared to 90% in Marshall.
- In Marshall, the Asian population stands at 2%, greater than 0% in Sanborn.
- Marshall has a higher percentage of Hispanic residents at 5%, compared to 1% in Sanborn.
- More residents identify as two or more races in Sanborn at 4% compared to 3% in Marshall.
- The percentage of American Indian residents is the same in both Sanborn and Marshall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sanborn | Marshall |
|---|---|---|
| Mental Health Not Good | 15.5% | Data is updating% |
| Physical Health Not Good | 9.4% | Data is updating% |
| Depression | 24.9% | Data is updating% |
| Smoking | 17.7% | Data is updating% |
| Binge Drinking | 20.0% | Data is updating% |
| Obesity | 32.9% | Data is updating% |
| Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: Sanborn vs Marshall
- More residents in Sanborn report poor mental health at 15.5% compared to 0.0% in Marshall.
- Depression is more prevalent in Sanborn at 24.9% compared to 0.0% in Marshall.
- Smoking is more prevalent in Sanborn at 17.7% compared to 0.0% in Marshall.
- Binge drinking is more common in Sanborn at 20.0% compared to 0.0% in Marshall.
- Obesity rates are higher in Sanborn at 32.9% compared to 0.0% in Marshall.
- Disability percentages are higher in Sanborn at 9.0% compared to 0.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sanborn | Marshall |
|---|---|---|
| No Schooling | 3.9% (58) | 0.0% (Data is updating) |
| High School Diploma | 19.6% (294) | 0.0% (Data is updating) |
| Less than High School | 16.0% (240) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 13.9% (209) | 0.0% (Data is updating) |
Education Levels Comparison: Sanborn vs Marshall
- A higher percentage of residents in Sanborn have no formal schooling at 3.9% compared to 0.0% in Marshall.
- A higher percentage of residents in Sanborn hold a high school diploma at 19.6% compared to 0.0% in Marshall.
- More residents in Sanborn have less than a high school education at 16.0% compared to 0.0% in Marshall.
- A higher percentage of residents in Sanborn hold a bachelor's degree or higher at 13.9% compared to 0.0% in Marshall.
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.