Demographics details for Luling, TX vs Shelbina, MO
Population Overview
Compare main population characteristics in Luling, TX vs Shelbina, MO.
| Data | Luling | Shelbina |
|---|---|---|
| Population | 5,545 | 1,582 |
| Median Age | 50.3 years | 37.6 years |
| Median Income | $59,773 | $52,050 |
| Married Families | 43.0% | 51.0% |
| Poverty Level | 12% | 11% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Luling vs Shelbina
- In Luling, the population is higher at 5,545, compared to 1,582 in Shelbina.
- Residents in Luling have a higher median age of 50.3 years compared to 37.6 years in Shelbina.
- Luling has a higher median income of $59,773 compared to $52,050 in Shelbina.
- In Shelbina, the percentage of married families is higher at 51.0%, compared to 43.0% in Luling.
- Luling has a higher poverty level at 12% compared to 11% in Shelbina.
- The unemployment rate in Luling is higher at 4.5%, compared to 3.5% in Shelbina.
Demographics
Demographics Luling vs Shelbina provide insight into the diversity of the communities to compare.
| Demographic | Luling | Shelbina |
|---|---|---|
| Black | 8 | 5 |
| White | 12 | 89 |
| Asian | 1 | Data is updating |
| Hispanic | 54 | 3 |
| Two or More Races | 25 | 1 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Luling vs Shelbina
- A higher percentage of Black residents are in Luling at 8% compared to 5% in Shelbina.
- The percentage of White residents is higher in Shelbina at 89% compared to 12% in Luling.
- The Asian population is larger in Luling at 1% compared to 0% in Shelbina.
- The Hispanic community is larger in Luling at 54% compared to 3% in Shelbina.
- More residents identify as two or more races in Luling at 25% compared to 1% in Shelbina.
- In Shelbina, the percentage of American Indian residents is higher at 2%, compared to 0% in Luling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Luling | Shelbina |
|---|---|---|
| Mental Health Not Good | 19.4% | 19.2% |
| Physical Health Not Good | 15.4% | 14.0% |
| Depression | 23.2% | 26.4% |
| Smoking | 20.8% | 23.4% |
| Binge Drinking | 15.6% | 17.6% |
| Obesity | 43.9% | 39.6% |
| Disability Percentage | 17.0% | 20.0% |
Health Statistics Comparison: Luling vs Shelbina
- More residents in Luling report poor mental health at 19.4% compared to 19.2% in Shelbina.
- Higher depression rates are seen in Shelbina at 26.4% versus 23.2% in Luling.
- Shelbina has a higher smoking rate at 23.4% compared to 20.8% in Luling.
- More residents engage in binge drinking in Shelbina at 17.6% compared to 15.6% in Luling.
- Obesity rates are higher in Luling at 43.9% compared to 39.6% in Shelbina.
- There is a higher percentage of disabled individuals in Shelbina at 20.0% compared to 17.0% in Luling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Luling | Shelbina |
|---|---|---|
| No Schooling | 3.9% (214) | 0.2% (3) |
| High School Diploma | 25.5% (1,415) | 31.1% (492) |
| Less than High School | 39.5% (2,189) | 17.6% (279) |
| Bachelor's Degree and Higher | 10.1% (560) | 14.2% (225) |
Education Levels Comparison: Luling vs Shelbina
- A higher percentage of residents in Luling have no formal schooling at 3.9% compared to 0.2% in Shelbina.
- In Shelbina, the rate of residents with high school diplomas is higher at 31.1% compared to 25.5% in Luling.
- More residents in Luling have less than a high school education at 39.5% compared to 17.6% in Shelbina.
- In Shelbina, a larger share of residents have a bachelor's degree or higher at 14.2% 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.