Demographics details for Spring valley, NY vs Bristol, WI
Population Overview
Compare main population characteristics in Spring valley, NY vs Bristol, WI.
| Data | Spring valley | Bristol |
|---|---|---|
| Population | 32,884 | 5,178 |
| Median Age | 27.5 years | 45.8 years |
| Median Income | $50,749 | $103,652 |
| Married Families | 32.0% | 54.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Spring valley vs Bristol
- In Spring valley, the population is higher at 32,884, compared to 5,178 in Bristol.
- The median age in Bristol is higher at 45.8 years, compared to 27.5 years in Spring valley.
- Bristol has a higher median income of $103,652, compared to $50,749 in Spring valley.
- In Bristol, the percentage of married families is higher at 54.0%, compared to 32.0% in Spring valley.
- Spring valley has a higher poverty level at 10% compared to 8% in Bristol.
- The unemployment rate is the same in both Spring valley and Bristol at 3.2%.
Demographics
Demographics Spring valley vs Bristol provide insight into the diversity of the communities to compare.
| Demographic | Spring valley | Bristol |
|---|---|---|
| Black | 32 | Data is updating |
| White | 31 | 95 |
| Asian | 3 | Data is updating |
| Hispanic | 29 | 3 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Spring valley vs Bristol
- A higher percentage of Black residents are in Spring valley at 32% compared to 0% in Bristol.
- The percentage of White residents is higher in Bristol at 95% compared to 31% in Spring valley.
- The Asian population is larger in Spring valley at 3% compared to 0% in Bristol.
- The Hispanic community is larger in Spring valley at 29% compared to 3% in Bristol.
- More residents identify as two or more races in Spring valley at 5% compared to 2% in Bristol.
- The percentage of American Indian residents is the same in both Spring valley and Bristol at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spring valley | Bristol |
|---|---|---|
| Mental Health Not Good | 16.7% | 13.2% |
| Physical Health Not Good | 13.9% | 8.2% |
| Depression | 18.7% | 22.4% |
| Smoking | 22.3% | 11.9% |
| Binge Drinking | 12.6% | 25.5% |
| Obesity | 34.3% | 33.4% |
| Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Spring valley vs Bristol
- More residents in Spring valley report poor mental health at 16.7% compared to 13.2% in Bristol.
- Higher depression rates are seen in Bristol at 22.4% versus 18.7% in Spring valley.
- Smoking is more prevalent in Spring valley at 22.3% compared to 11.9% in Bristol.
- More residents engage in binge drinking in Bristol at 25.5% compared to 12.6% in Spring valley.
- Obesity rates are higher in Spring valley at 34.3% compared to 33.4% in Bristol.
- There is a higher percentage of disabled individuals in Bristol at 12.0% compared to 8.0% in Spring valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Spring valley | Bristol |
|---|---|---|
| No Schooling | 3.7% (1,224) | 0.6% (29) |
| High School Diploma | 13.1% (4,315) | 14.1% (729) |
| Less than High School | 20.5% (6,742) | 3.0% (156) |
| Bachelor's Degree and Higher | 10.0% (3,273) | 22.0% (1,141) |
Education Levels Comparison: Spring valley vs Bristol
- A higher percentage of residents in Spring valley have no formal schooling at 3.7% compared to 0.6% in Bristol.
- In Bristol, the rate of residents with high school diplomas is higher at 14.1% compared to 13.1% in Spring valley.
- More residents in Spring valley have less than a high school education at 20.5% compared to 3.0% in Bristol.
- In Bristol, a larger share of residents have a bachelor's degree or higher at 22.0% compared to 10.0% in Spring valley.
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.