Demographics details for Spring valley, NY vs Butler, PA
Population Overview
Compare main population characteristics in Spring valley, NY vs Butler, PA.
| Data | Spring valley | Butler |
|---|---|---|
| Population | 32,884 | 13,176 |
| Median Age | 27.5 years | 38.2 years |
| Median Income | $50,749 | $39,546 |
| Married Families | 32.0% | 26.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Spring valley vs Butler
- In Spring valley, the population is higher at 32,884, compared to 13,176 in Butler.
- The median age in Butler is higher at 38.2 years, compared to 27.5 years in Spring valley.
- Spring valley has a higher median income of $50,749 compared to $39,546 in Butler.
- A higher percentage of married families is found in Spring valley at 32.0% compared to 26.0% in Butler.
- The poverty level is higher in Butler at 12%, compared to 10% in Spring valley.
- Butler has a higher unemployment rate at 4.2% compared to 3.2% in Spring valley.
Demographics
Demographics Spring valley vs Butler provide insight into the diversity of the communities to compare.
| Demographic | Spring valley | Butler |
|---|---|---|
| Black | 32 | 3 |
| White | 31 | 88 |
| Asian | 3 | 1 |
| Hispanic | 29 | 3 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Spring valley vs Butler
- A higher percentage of Black residents are in Spring valley at 32% compared to 3% in Butler.
- The percentage of White residents is higher in Butler at 88% compared to 31% in Spring valley.
- The Asian population is larger in Spring valley at 3% compared to 1% in Butler.
- The Hispanic community is larger in Spring valley at 29% compared to 3% in Butler.
- Both Spring valley and Butler have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Spring valley and Butler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spring valley | Butler |
|---|---|---|
| Mental Health Not Good | 16.7% | 19.1% |
| Physical Health Not Good | 13.9% | 14.5% |
| Depression | 18.7% | 24.4% |
| Smoking | 22.3% | 24.6% |
| Binge Drinking | 12.6% | 17.4% |
| Obesity | 34.3% | 38.2% |
| Disability Percentage | 8.0% | 23.0% |
Health Statistics Comparison: Spring valley vs Butler
- In Butler, a higher percentage report poor mental health at 19.1% compared to 16.7% in Spring valley.
- Higher depression rates are seen in Butler at 24.4% versus 18.7% in Spring valley.
- Butler has a higher smoking rate at 24.6% compared to 22.3% in Spring valley.
- More residents engage in binge drinking in Butler at 17.4% compared to 12.6% in Spring valley.
- Butler has higher obesity rates at 38.2% compared to 34.3% in Spring valley.
- There is a higher percentage of disabled individuals in Butler at 23.0% 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 | Butler |
|---|---|---|
| No Schooling | 3.7% (1,224) | 0.1% (14) |
| High School Diploma | 13.1% (4,315) | 23.6% (3,115) |
| Less than High School | 20.5% (6,742) | 9.3% (1,222) |
| Bachelor's Degree and Higher | 10.0% (3,273) | 15.6% (2,049) |
Education Levels Comparison: Spring valley vs Butler
- A higher percentage of residents in Spring valley have no formal schooling at 3.7% compared to 0.1% in Butler.
- In Butler, the rate of residents with high school diplomas is higher at 23.6% compared to 13.1% in Spring valley.
- More residents in Spring valley have less than a high school education at 20.5% compared to 9.3% in Butler.
- In Butler, a larger share of residents have a bachelor's degree or higher at 15.6% 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.