Demographics details for Lakeville, MN vs Sand lake, MI
Population Overview
Compare main population characteristics in Lakeville, MN vs Sand lake, MI.
Data | Lakeville | Sand lake |
---|---|---|
Population | 74,553 | 1,178 |
Median Age | 36.5 years | 59.6 years |
Median Income | $129,069 | $46,250 |
Married Families | 45.0% | 52.0% |
Poverty Level | 4% | 9% |
Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Lakeville vs Sand lake
- In Lakeville, the population is higher at 74,553, compared to 1,178 in Sand lake.
- The median age in Sand lake is higher at 59.6 years, compared to 36.5 years in Lakeville.
- Lakeville has a higher median income of $129,069 compared to $46,250 in Sand lake.
- In Sand lake, the percentage of married families is higher at 52.0%, compared to 45.0% in Lakeville.
- The poverty level is higher in Sand lake at 9%, compared to 4% in Lakeville.
- Sand lake has a higher unemployment rate at 4.1% compared to 3.5% in Lakeville.
Demographics
Demographics Lakeville vs Sand lake provide insight into the diversity of the communities to compare.
Demographic | Lakeville | Sand lake |
---|---|---|
Black | 4 | Data is updating |
White | 80 | 96 |
Asian | 6 | Data is updating |
Hispanic | 5 | 2 |
Two or More Races | 5 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lakeville vs Sand lake
- A higher percentage of Black residents are in Lakeville at 4% compared to 0% in Sand lake.
- The percentage of White residents is higher in Sand lake at 96% compared to 80% in Lakeville.
- The Asian population is larger in Lakeville at 6% compared to 0% in Sand lake.
- The Hispanic community is larger in Lakeville at 5% compared to 2% in Sand lake.
- More residents identify as two or more races in Lakeville at 5% compared to 2% in Sand lake.
- The percentage of American Indian residents is the same in both Lakeville and Sand lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lakeville | Sand lake |
---|---|---|
Mental Health Not Good | 12.3% | 20.1% |
Physical Health Not Good | 7.4% | 13.7% |
Depression | 21.6% | 28.1% |
Smoking | 11.7% | 24.0% |
Binge Drinking | 18.9% | 17.8% |
Obesity | 30.3% | 40.1% |
Disability Percentage | 7.0% | 28.0% |
Health Statistics Comparison: Lakeville vs Sand lake
- In Sand lake, a higher percentage report poor mental health at 20.1% compared to 12.3% in Lakeville.
- Higher depression rates are seen in Sand lake at 28.1% versus 21.6% in Lakeville.
- Sand lake has a higher smoking rate at 24.0% compared to 11.7% in Lakeville.
- Binge drinking is more common in Lakeville at 18.9% compared to 17.8% in Sand lake.
- Sand lake has higher obesity rates at 40.1% compared to 30.3% in Lakeville.
- There is a higher percentage of disabled individuals in Sand lake at 28.0% compared to 7.0% in Lakeville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lakeville | Sand lake |
---|---|---|
No Schooling | 0.5% (366) | 0.6% (7) |
High School Diploma | 8.9% (6,669) | 27.5% (324) |
Less than High School | 3.1% (2,337) | 22.1% (260) |
Bachelor's Degree and Higher | 30.5% (22,706) | 12.4% (146) |
Education Levels Comparison: Lakeville vs Sand lake
- In Sand lake, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Lakeville.
- In Sand lake, the rate of residents with high school diplomas is higher at 27.5% compared to 8.9% in Lakeville.
- The percentage of residents with less than a high school education is higher in Sand lake at 22.1%, compared to 3.1% in Lakeville.
- A higher percentage of residents in Lakeville hold a bachelor's degree or higher at 30.5% compared to 12.4% in Sand lake.
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.