Demographics details for Spring valley, NY vs Mobile, AL
Population Overview
Compare main population characteristics in Spring valley, NY vs Mobile, AL.
| Data | Spring valley | Mobile |
|---|---|---|
| Population | 32,884 | 183,289 |
| Median Age | 27.5 years | 37.6 years |
| Median Income | $50,749 | $48,524 |
| Married Families | 32.0% | 30.0% |
| Poverty Level | 10% | 21% |
| Unemployment Rate | 3.2 | 3.9 |
Population Comparison: Spring valley vs Mobile
- The population in Mobile is higher at 183,289, compared to 32,884 in Spring valley.
- The median age in Mobile is higher at 37.6 years, compared to 27.5 years in Spring valley.
- Spring valley has a higher median income of $50,749 compared to $48,524 in Mobile.
- A higher percentage of married families is found in Spring valley at 32.0% compared to 30.0% in Mobile.
- The poverty level is higher in Mobile at 21%, compared to 10% in Spring valley.
- Mobile has a higher unemployment rate at 3.9% compared to 3.2% in Spring valley.
Demographics
Demographics Spring valley vs Mobile provide insight into the diversity of the communities to compare.
| Demographic | Spring valley | Mobile |
|---|---|---|
| Black | 32 | 54 |
| White | 31 | 38 |
| Asian | 3 | 2 |
| Hispanic | 29 | 3 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Spring valley vs Mobile
- In Mobile, the percentage of Black residents is higher at 54% compared to 32% in Spring valley.
- The percentage of White residents is higher in Mobile at 38% compared to 31% in Spring valley.
- The Asian population is larger in Spring valley at 3% compared to 2% in Mobile.
- The Hispanic community is larger in Spring valley at 29% compared to 3% in Mobile.
- More residents identify as two or more races in Spring valley at 5% compared to 3% in Mobile.
- The percentage of American Indian residents is the same in both Spring valley and Mobile at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spring valley | Mobile |
|---|---|---|
| Mental Health Not Good | 16.7% | 19.3% |
| Physical Health Not Good | 13.9% | 13.5% |
| Depression | 18.7% | 21.7% |
| Smoking | 22.3% | 18.6% |
| Binge Drinking | 12.6% | 15.1% |
| Obesity | 34.3% | 42.0% |
| Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Spring valley vs Mobile
- In Mobile, a higher percentage report poor mental health at 19.3% compared to 16.7% in Spring valley.
- Higher depression rates are seen in Mobile at 21.7% versus 18.7% in Spring valley.
- Smoking is more prevalent in Spring valley at 22.3% compared to 18.6% in Mobile.
- More residents engage in binge drinking in Mobile at 15.1% compared to 12.6% in Spring valley.
- Mobile has higher obesity rates at 42.0% compared to 34.3% in Spring valley.
- There is a higher percentage of disabled individuals in Mobile at 13.0% 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 | Mobile |
|---|---|---|
| No Schooling | 3.7% (1,224) | 0.7% (1,270) |
| High School Diploma | 13.1% (4,315) | 18.4% (33,785) |
| Less than High School | 20.5% (6,742) | 9.4% (17,177) |
| Bachelor's Degree and Higher | 10.0% (3,273) | 20.9% (38,346) |
Education Levels Comparison: Spring valley vs Mobile
- A higher percentage of residents in Spring valley have no formal schooling at 3.7% compared to 0.7% in Mobile.
- In Mobile, the rate of residents with high school diplomas is higher at 18.4% compared to 13.1% in Spring valley.
- More residents in Spring valley have less than a high school education at 20.5% compared to 9.4% in Mobile.
- In Mobile, a larger share of residents have a bachelor's degree or higher at 20.9% 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.