Demographics details for Monett, MO vs Luling, TX
Population Overview
Compare main population characteristics in Monett, MO vs Luling, TX.
| Data | Monett | Luling |
|---|---|---|
| Population | 9,789 | 5,545 |
| Median Age | 34.7 years | 50.3 years |
| Median Income | $42,635 | $59,773 |
| Married Families | 33.0% | 43.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 3.8 | 4.5 |
Population Comparison: Monett vs Luling
- In Monett, the population is higher at 9,789, compared to 5,545 in Luling.
- The median age in Luling is higher at 50.3 years, compared to 34.7 years in Monett.
- Luling has a higher median income of $59,773, compared to $42,635 in Monett.
- In Luling, the percentage of married families is higher at 43.0%, compared to 33.0% in Monett.
- Monett has a higher poverty level at 15% compared to 12% in Luling.
- Luling has a higher unemployment rate at 4.5% compared to 3.8% in Monett.
Demographics
Demographics Monett vs Luling provide insight into the diversity of the communities to compare.
| Demographic | Monett | Luling |
|---|---|---|
| Black | Data is updating | 8 |
| White | 51 | 12 |
| Asian | 2 | 1 |
| Hispanic | 29 | 54 |
| Two or More Races | 15 | 25 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Monett vs Luling
- In Luling, the percentage of Black residents is higher at 8% compared to 0% in Monett.
- Monett has a higher percentage of White residents at 51% compared to 12% in Luling.
- The Asian population is larger in Monett at 2% compared to 1% in Luling.
- Luling has a higher percentage of Hispanic residents at 54%, compared to 29% in Monett.
- The percentage of residents identifying as two or more races is higher in Luling at 25%, compared to 15% in Monett.
- A greater percentage of American Indian residents live in Monett at 3% compared to 0% in Luling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Monett | Luling |
|---|---|---|
| Mental Health Not Good | 18.9% | 19.4% |
| Physical Health Not Good | 14.4% | 15.4% |
| Depression | 25.3% | 23.2% |
| Smoking | 22.8% | 20.8% |
| Binge Drinking | 16.5% | 15.6% |
| Obesity | 41.0% | 43.9% |
| Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Monett vs Luling
- In Luling, a higher percentage report poor mental health at 19.4% compared to 18.9% in Monett.
- Depression is more prevalent in Monett at 25.3% compared to 23.2% in Luling.
- Smoking is more prevalent in Monett at 22.8% compared to 20.8% in Luling.
- Binge drinking is more common in Monett at 16.5% compared to 15.6% in Luling.
- Luling has higher obesity rates at 43.9% compared to 41.0% in Monett.
- There is a higher percentage of disabled individuals in Luling at 17.0% compared to 13.0% in Monett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Monett | Luling |
|---|---|---|
| No Schooling | 1.0% (97) | 3.9% (214) |
| High School Diploma | 20.5% (2,003) | 25.5% (1,415) |
| Less than High School | 20.0% (1,953) | 39.5% (2,189) |
| Bachelor's Degree and Higher | 8.4% (822) | 10.1% (560) |
Education Levels Comparison: Monett vs Luling
- In Luling, a larger percentage of residents lack formal schooling at 3.9% compared to 1.0% in Monett.
- In Luling, the rate of residents with high school diplomas is higher at 25.5% compared to 20.5% in Monett.
- The percentage of residents with less than a high school education is higher in Luling at 39.5%, compared to 20.0% in Monett.
- In Luling, a larger share of residents have a bachelor's degree or higher at 10.1% compared to 8.4% in Monett.
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.