Demographics details for Lawrence, KS vs Mankato, MN
Population Overview
Compare main population characteristics in Lawrence, KS vs Mankato, MN.
Data | Lawrence | Mankato |
---|---|---|
Population | 95,794 | 45,140 |
Median Age | 28.8 years | 26.5 years |
Median Income | $59,834 | $61,726 |
Married Families | 32.0% | 28.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 3.9 | 3.4 |
Population Comparison: Lawrence vs Mankato
- In Lawrence, the population is higher at 95,794, compared to 45,140 in Mankato.
- Residents in Lawrence have a higher median age of 28.8 years compared to 26.5 years in Mankato.
- Mankato has a higher median income of $61,726, compared to $59,834 in Lawrence.
- A higher percentage of married families is found in Lawrence at 32.0% compared to 28.0% in Mankato.
- Lawrence has a higher poverty level at 12% compared to 10% in Mankato.
- The unemployment rate in Lawrence is higher at 3.9%, compared to 3.4% in Mankato.
Demographics
Demographics Lawrence vs Mankato provide insight into the diversity of the communities to compare.
Demographic | Lawrence | Mankato |
---|---|---|
Black | 5 | 7 |
White | 71 | 81 |
Asian | 6 | 4 |
Hispanic | 7 | 5 |
Two or More Races | 9 | 3 |
American Indian | 2 | Data is updating |
Demographics Comparison: Lawrence vs Mankato
- In Mankato, the percentage of Black residents is higher at 7% compared to 5% in Lawrence.
- The percentage of White residents is higher in Mankato at 81% compared to 71% in Lawrence.
- The Asian population is larger in Lawrence at 6% compared to 4% in Mankato.
- The Hispanic community is larger in Lawrence at 7% compared to 5% in Mankato.
- More residents identify as two or more races in Lawrence at 9% compared to 3% in Mankato.
- A greater percentage of American Indian residents live in Lawrence at 2% compared to 0% in Mankato.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lawrence | Mankato |
---|---|---|
Mental Health Not Good | 16.5% | 16.0% |
Physical Health Not Good | 9.5% | 10.1% |
Depression | 22.3% | 25.0% |
Smoking | 14.8% | 18.4% |
Binge Drinking | 19.6% | 19.9% |
Obesity | 32.8% | 37.2% |
Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Lawrence vs Mankato
- More residents in Lawrence report poor mental health at 16.5% compared to 16.0% in Mankato.
- Higher depression rates are seen in Mankato at 25.0% versus 22.3% in Lawrence.
- Mankato has a higher smoking rate at 18.4% compared to 14.8% in Lawrence.
- More residents engage in binge drinking in Mankato at 19.9% compared to 19.6% in Lawrence.
- Mankato has higher obesity rates at 37.2% compared to 32.8% in Lawrence.
- Disability percentages are the same in both Lawrence and Mankato at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lawrence | Mankato |
---|---|---|
No Schooling | 0.5% (466) | 0.8% (349) |
High School Diploma | 8.2% (7,882) | 9.3% (4,187) |
Less than High School | 4.0% (3,784) | 5.7% (2,556) |
Bachelor's Degree and Higher | 31.1% (29,776) | 19.6% (8,847) |
Education Levels Comparison: Lawrence vs Mankato
- In Mankato, a larger percentage of residents lack formal schooling at 0.8% compared to 0.5% in Lawrence.
- In Mankato, the rate of residents with high school diplomas is higher at 9.3% compared to 8.2% in Lawrence.
- The percentage of residents with less than a high school education is higher in Mankato at 5.7%, 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 19.6% in Mankato.
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.