Demographics details for Spring valley, IL vs Luling, TX
Population Overview
Compare main population characteristics in Spring valley, IL vs Luling, TX.
| Data | Spring valley | Luling |
|---|---|---|
| Population | 5,461 | 5,545 |
| Median Age | 43.4 years | 50.3 years |
| Median Income | $60,861 | $59,773 |
| Married Families | 40.0% | 43.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 5.1 | 4.5 |
Population Comparison: Spring valley vs Luling
- The population in Luling is higher at 5,545, compared to 5,461 in Spring valley.
- The median age in Luling is higher at 50.3 years, compared to 43.4 years in Spring valley.
- Spring valley has a higher median income of $60,861 compared to $59,773 in Luling.
- In Luling, the percentage of married families is higher at 43.0%, compared to 40.0% in Spring valley.
- Spring valley has a higher poverty level at 14% compared to 12% in Luling.
- The unemployment rate in Spring valley is higher at 5.1%, compared to 4.5% in Luling.
Demographics
Demographics Spring valley vs Luling provide insight into the diversity of the communities to compare.
| Demographic | Spring valley | Luling |
|---|---|---|
| Black | 2 | 8 |
| White | 72 | 12 |
| Asian | Data is updating | 1 |
| Hispanic | 23 | 54 |
| Two or More Races | 3 | 25 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Spring valley vs Luling
- In Luling, the percentage of Black residents is higher at 8% compared to 2% in Spring valley.
- Spring valley has a higher percentage of White residents at 72% compared to 12% in Luling.
- In Luling, the Asian population stands at 1%, greater than 0% in Spring valley.
- Luling has a higher percentage of Hispanic residents at 54%, compared to 23% in Spring valley.
- The percentage of residents identifying as two or more races is higher in Luling at 25%, compared to 3% in Spring valley.
- The percentage of American Indian residents is the same in both Spring valley and Luling at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spring valley | Luling |
|---|---|---|
| Mental Health Not Good | 16.6% | 19.4% |
| Physical Health Not Good | 11.5% | 15.4% |
| Depression | 22.1% | 23.2% |
| Smoking | 17.9% | 20.8% |
| Binge Drinking | 17.7% | 15.6% |
| Obesity | 37.6% | 43.9% |
| Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Spring valley vs Luling
- In Luling, a higher percentage report poor mental health at 19.4% compared to 16.6% in Spring valley.
- Higher depression rates are seen in Luling at 23.2% versus 22.1% in Spring valley.
- Luling has a higher smoking rate at 20.8% compared to 17.9% in Spring valley.
- Binge drinking is more common in Spring valley at 17.7% compared to 15.6% in Luling.
- Luling has higher obesity rates at 43.9% compared to 37.6% in Spring valley.
- Disability percentages are the same in both Spring valley and Luling at 17.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Spring valley | Luling |
|---|---|---|
| No Schooling | 1.6% (85) | 3.9% (214) |
| High School Diploma | 20.0% (1,092) | 25.5% (1,415) |
| Less than High School | 17.8% (970) | 39.5% (2,189) |
| Bachelor's Degree and Higher | 12.3% (669) | 10.1% (560) |
Education Levels Comparison: Spring valley vs Luling
- In Luling, a larger percentage of residents lack formal schooling at 3.9% compared to 1.6% in Spring valley.
- In Luling, the rate of residents with high school diplomas is higher at 25.5% compared to 20.0% in Spring valley.
- The percentage of residents with less than a high school education is higher in Luling at 39.5%, compared to 17.8% in Spring valley.
- A higher percentage of residents in Spring valley hold a bachelor's degree or higher at 12.3% compared to 10.1% in Luling.
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.