Demographics details for Lawrence, KS vs Mount vernon, TX
Population Overview
Compare main population characteristics in Lawrence, KS vs Mount vernon, TX.
| Data | Lawrence | Mount vernon |
|---|---|---|
| Population | 95,794 | 2,541 |
| Median Age | 28.8 years | 31.1 years |
| Median Income | $59,834 | $63,750 |
| Married Families | 32.0% | 40.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.9 | 4.5 |
Population Comparison: Lawrence vs Mount vernon
- In Lawrence, the population is higher at 95,794, compared to 2,541 in Mount vernon.
- The median age in Mount vernon is higher at 31.1 years, compared to 28.8 years in Lawrence.
- Mount vernon has a higher median income of $63,750, compared to $59,834 in Lawrence.
- In Mount vernon, the percentage of married families is higher at 40.0%, compared to 32.0% in Lawrence.
- Lawrence has a higher poverty level at 12% compared to 10% in Mount vernon.
- Mount vernon has a higher unemployment rate at 4.5% compared to 3.9% in Lawrence.
Demographics
Demographics Lawrence vs Mount vernon provide insight into the diversity of the communities to compare.
| Demographic | Lawrence | Mount vernon |
|---|---|---|
| Black | 5 | 15 |
| White | 71 | 50 |
| Asian | 6 | Data is updating |
| Hispanic | 7 | 21 |
| Two or More Races | 9 | 14 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Lawrence vs Mount vernon
- In Mount vernon, the percentage of Black residents is higher at 15% compared to 5% in Lawrence.
- Lawrence has a higher percentage of White residents at 71% compared to 50% in Mount vernon.
- The Asian population is larger in Lawrence at 6% compared to 0% in Mount vernon.
- Mount vernon has a higher percentage of Hispanic residents at 21%, compared to 7% in Lawrence.
- The percentage of residents identifying as two or more races is higher in Mount vernon at 14%, compared to 9% in Lawrence.
- A greater percentage of American Indian residents live in Lawrence at 2% compared to 0% in Mount vernon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lawrence | Mount vernon |
|---|---|---|
| Mental Health Not Good | 16.5% | 18.1% |
| Physical Health Not Good | 9.5% | 11.8% |
| Depression | 22.3% | 24.9% |
| Smoking | 14.8% | 17.6% |
| Binge Drinking | 19.6% | 18.5% |
| Obesity | 32.8% | 35.4% |
| Disability Percentage | 10.0% | 17.0% |
Health Statistics Comparison: Lawrence vs Mount vernon
- In Mount vernon, a higher percentage report poor mental health at 18.1% compared to 16.5% in Lawrence.
- Higher depression rates are seen in Mount vernon at 24.9% versus 22.3% in Lawrence.
- Mount vernon has a higher smoking rate at 17.6% compared to 14.8% in Lawrence.
- Binge drinking is more common in Lawrence at 19.6% compared to 18.5% in Mount vernon.
- Mount vernon has higher obesity rates at 35.4% compared to 32.8% in Lawrence.
- There is a higher percentage of disabled individuals in Mount vernon at 17.0% compared to 10.0% in Lawrence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lawrence | Mount vernon |
|---|---|---|
| No Schooling | 0.5% (466) | 0.6% (16) |
| High School Diploma | 8.2% (7,882) | 15.7% (399) |
| Less than High School | 4.0% (3,784) | 21.8% (555) |
| Bachelor's Degree and Higher | 31.1% (29,776) | 11.1% (282) |
Education Levels Comparison: Lawrence vs Mount vernon
- In Mount vernon, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Lawrence.
- In Mount vernon, the rate of residents with high school diplomas is higher at 15.7% compared to 8.2% in Lawrence.
- The percentage of residents with less than a high school education is higher in Mount vernon at 21.8%, compared to 4.0% in Lawrence.
- A higher percentage of residents in Lawrence hold a bachelor's degree or higher at 31.1% compared to 11.1% in Mount vernon.
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.