Demographics details for Lawrence, KS vs Dexter, MN
Population Overview
Compare main population characteristics in Lawrence, KS vs Dexter, MN.
| Data | Lawrence | Dexter |
|---|---|---|
| Population | 95,794 | 323 |
| Median Age | 28.8 years | 45.8 years |
| Median Income | $59,834 | $84,375 |
| Married Families | 32.0% | 59.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 3.9 | 3.5 |
Population Comparison: Lawrence vs Dexter
- In Lawrence, the population is higher at 95,794, compared to 323 in Dexter.
- The median age in Dexter is higher at 45.8 years, compared to 28.8 years in Lawrence.
- Dexter has a higher median income of $84,375, compared to $59,834 in Lawrence.
- In Dexter, the percentage of married families is higher at 59.0%, compared to 32.0% in Lawrence.
- Lawrence has a higher poverty level at 12% compared to 7% in Dexter.
- The unemployment rate in Lawrence is higher at 3.9%, compared to 3.5% in Dexter.
Demographics
Demographics Lawrence vs Dexter provide insight into the diversity of the communities to compare.
| Demographic | Lawrence | Dexter |
|---|---|---|
| Black | 5 | Data is updating |
| White | 71 | 100 |
| Asian | 6 | Data is updating |
| Hispanic | 7 | Data is updating |
| Two or More Races | 9 | Data is updating |
| American Indian | 2 | Data is updating |
Demographics Comparison: Lawrence vs Dexter
- A higher percentage of Black residents are in Lawrence at 5% compared to 0% in Dexter.
- The percentage of White residents is higher in Dexter at 100% compared to 71% in Lawrence.
- The Asian population is larger in Lawrence at 6% compared to 0% in Dexter.
- The Hispanic community is larger in Lawrence at 7% compared to 0% in Dexter.
- More residents identify as two or more races in Lawrence at 9% compared to 0% in Dexter.
- A greater percentage of American Indian residents live in Lawrence at 2% compared to 0% in Dexter.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lawrence | Dexter |
|---|---|---|
| Mental Health Not Good | 16.5% | 15.5% |
| Physical Health Not Good | 9.5% | 9.4% |
| Depression | 22.3% | 22.6% |
| Smoking | 14.8% | 18.5% |
| Binge Drinking | 19.6% | 20.4% |
| Obesity | 32.8% | 34.1% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Lawrence vs Dexter
- More residents in Lawrence report poor mental health at 16.5% compared to 15.5% in Dexter.
- Higher depression rates are seen in Dexter at 22.6% versus 22.3% in Lawrence.
- Dexter has a higher smoking rate at 18.5% compared to 14.8% in Lawrence.
- More residents engage in binge drinking in Dexter at 20.4% compared to 19.6% in Lawrence.
- Dexter has higher obesity rates at 34.1% compared to 32.8% in Lawrence.
- There is a higher percentage of disabled individuals in Dexter at 14.0% 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 | Dexter |
|---|---|---|
| No Schooling | 0.5% (466) | 0.0% (Data is updating) |
| High School Diploma | 8.2% (7,882) | 31.0% (100) |
| Less than High School | 4.0% (3,784) | 9.3% (30) |
| Bachelor's Degree and Higher | 31.1% (29,776) | 7.1% (23) |
Education Levels Comparison: Lawrence vs Dexter
- A higher percentage of residents in Lawrence have no formal schooling at 0.5% compared to 0.0% in Dexter.
- In Dexter, the rate of residents with high school diplomas is higher at 31.0% compared to 8.2% in Lawrence.
- The percentage of residents with less than a high school education is higher in Dexter at 9.3%, 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 7.1% in Dexter.
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.