Demographics details for Lawrence, KS vs White house, TN
Population Overview
Compare main population characteristics in Lawrence, KS vs White house, TN.
| Data | Lawrence | White house |
|---|---|---|
| Population | 95,794 | 14,516 |
| Median Age | 28.8 years | 36.5 years |
| Median Income | $59,834 | $85,404 |
| Married Families | 32.0% | 46.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 3.9 | 3.4 |
Population Comparison: Lawrence vs White house
- In Lawrence, the population is higher at 95,794, compared to 14,516 in White house.
- The median age in White house is higher at 36.5 years, compared to 28.8 years in Lawrence.
- White house has a higher median income of $85,404, compared to $59,834 in Lawrence.
- In White house, the percentage of married families is higher at 46.0%, compared to 32.0% in Lawrence.
- Lawrence has a higher poverty level at 12% compared to 7% in White house.
- The unemployment rate in Lawrence is higher at 3.9%, compared to 3.4% in White house.
Demographics
Demographics Lawrence vs White house provide insight into the diversity of the communities to compare.
| Demographic | Lawrence | White house |
|---|---|---|
| Black | 5 | 2 |
| White | 71 | 87 |
| Asian | 6 | 1 |
| Hispanic | 7 | 4 |
| Two or More Races | 9 | 6 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Lawrence vs White house
- A higher percentage of Black residents are in Lawrence at 5% compared to 2% in White house.
- The percentage of White residents is higher in White house at 87% compared to 71% in Lawrence.
- The Asian population is larger in Lawrence at 6% compared to 1% in White house.
- The Hispanic community is larger in Lawrence at 7% compared to 4% in White house.
- More residents identify as two or more races in Lawrence at 9% compared to 6% in White house.
- A greater percentage of American Indian residents live in Lawrence at 2% compared to 0% in White house.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lawrence | White house |
|---|---|---|
| Mental Health Not Good | 16.5% | 17.5% |
| Physical Health Not Good | 9.5% | 11.0% |
| Depression | 22.3% | 27.6% |
| Smoking | 14.8% | 17.7% |
| Binge Drinking | 19.6% | 16.7% |
| Obesity | 32.8% | 32.5% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Lawrence vs White house
- In White house, a higher percentage report poor mental health at 17.5% compared to 16.5% in Lawrence.
- Higher depression rates are seen in White house at 27.6% versus 22.3% in Lawrence.
- White house has a higher smoking rate at 17.7% compared to 14.8% in Lawrence.
- Binge drinking is more common in Lawrence at 19.6% compared to 16.7% in White house.
- Obesity rates are higher in Lawrence at 32.8% compared to 32.5% in White house.
- There is a higher percentage of disabled individuals in White house at 11.0% 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 | White house |
|---|---|---|
| No Schooling | 0.5% (466) | 0.2% (30) |
| High School Diploma | 8.2% (7,882) | 18.0% (2,617) |
| Less than High School | 4.0% (3,784) | 12.4% (1,794) |
| Bachelor's Degree and Higher | 31.1% (29,776) | 15.4% (2,235) |
Education Levels Comparison: Lawrence vs White house
- A higher percentage of residents in Lawrence have no formal schooling at 0.5% compared to 0.2% in White house.
- In White house, the rate of residents with high school diplomas is higher at 18.0% compared to 8.2% in Lawrence.
- The percentage of residents with less than a high school education is higher in White house at 12.4%, 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 15.4% in White house.
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.