Demographics details for Lenexa, KS vs Christiansburg, VA
Population Overview
Compare main population characteristics in Lenexa, KS vs Christiansburg, VA.
| Data | Lenexa | Christiansburg |
|---|---|---|
| Population | 58,617 | 22,562 |
| Median Age | 38.0 years | 39.1 years |
| Median Income | $101,074 | $71,468 |
| Married Families | 44.0% | 45.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 3.4 | 3.2 |
Population Comparison: Lenexa vs Christiansburg
- In Lenexa, the population is higher at 58,617, compared to 22,562 in Christiansburg.
- The median age in Christiansburg is higher at 39.1 years, compared to 38.0 years in Lenexa.
- Lenexa has a higher median income of $101,074 compared to $71,468 in Christiansburg.
- In Christiansburg, the percentage of married families is higher at 45.0%, compared to 44.0% in Lenexa.
- The poverty level is higher in Christiansburg at 9%, compared to 5% in Lenexa.
- The unemployment rate in Lenexa is higher at 3.4%, compared to 3.2% in Christiansburg.
Demographics
Demographics Lenexa vs Christiansburg provide insight into the diversity of the communities to compare.
| Demographic | Lenexa | Christiansburg |
|---|---|---|
| Black | 7 | 5 |
| White | 72 | 84 |
| Asian | 4 | 4 |
| Hispanic | 9 | 3 |
| Two or More Races | 7 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lenexa vs Christiansburg
- A higher percentage of Black residents are in Lenexa at 7% compared to 5% in Christiansburg.
- The percentage of White residents is higher in Christiansburg at 84% compared to 72% in Lenexa.
- Both Lenexa and Christiansburg have the same percentage of Asian residents at 4%.
- The Hispanic community is larger in Lenexa at 9% compared to 3% in Christiansburg.
- More residents identify as two or more races in Lenexa at 7% compared to 4% in Christiansburg.
- A greater percentage of American Indian residents live in Lenexa at 1% compared to 0% in Christiansburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lenexa | Christiansburg |
|---|---|---|
| Mental Health Not Good | 12.5% | 16.1% |
| Physical Health Not Good | 7.1% | 9.9% |
| Depression | 18.6% | 25.8% |
| Smoking | 10.2% | 14.4% |
| Binge Drinking | 19.9% | 19.2% |
| Obesity | 29.4% | 30.3% |
| Disability Percentage | 8.0% | 17.0% |
Health Statistics Comparison: Lenexa vs Christiansburg
- In Christiansburg, a higher percentage report poor mental health at 16.1% compared to 12.5% in Lenexa.
- Higher depression rates are seen in Christiansburg at 25.8% versus 18.6% in Lenexa.
- Christiansburg has a higher smoking rate at 14.4% compared to 10.2% in Lenexa.
- Binge drinking is more common in Lenexa at 19.9% compared to 19.2% in Christiansburg.
- Christiansburg has higher obesity rates at 30.3% compared to 29.4% in Lenexa.
- There is a higher percentage of disabled individuals in Christiansburg at 17.0% compared to 8.0% in Lenexa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lenexa | Christiansburg |
|---|---|---|
| No Schooling | 0.5% (265) | 0.3% (66) |
| High School Diploma | 8.3% (4,870) | 14.0% (3,152) |
| Less than High School | 3.2% (1,901) | 8.1% (1,827) |
| Bachelor's Degree and Higher | 37.9% (22,208) | 31.9% (7,193) |
Education Levels Comparison: Lenexa vs Christiansburg
- A higher percentage of residents in Lenexa have no formal schooling at 0.5% compared to 0.3% in Christiansburg.
- In Christiansburg, the rate of residents with high school diplomas is higher at 14.0% compared to 8.3% in Lenexa.
- The percentage of residents with less than a high school education is higher in Christiansburg at 8.1%, compared to 3.2% in Lenexa.
- A higher percentage of residents in Lenexa hold a bachelor's degree or higher at 37.9% compared to 31.9% in Christiansburg.
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.