Demographics details for Osage beach, MO vs Sand lake, MI
Population Overview
Compare main population characteristics in Osage beach, MO vs Sand lake, MI.
Data | Osage beach | Sand lake |
---|---|---|
Population | 4,821 | 1,178 |
Median Age | 48.0 years | 59.6 years |
Median Income | $51,600 | $46,250 |
Married Families | 37.0% | 52.0% |
Poverty Level | 7% | 9% |
Unemployment Rate | 3.4 | 4.1 |
Population Comparison: Osage beach vs Sand lake
- In Osage beach, the population is higher at 4,821, compared to 1,178 in Sand lake.
- The median age in Sand lake is higher at 59.6 years, compared to 48.0 years in Osage beach.
- Osage beach has a higher median income of $51,600 compared to $46,250 in Sand lake.
- In Sand lake, the percentage of married families is higher at 52.0%, compared to 37.0% in Osage beach.
- The poverty level is higher in Sand lake at 9%, compared to 7% in Osage beach.
- Sand lake has a higher unemployment rate at 4.1% compared to 3.4% in Osage beach.
Demographics
Demographics Osage beach vs Sand lake provide insight into the diversity of the communities to compare.
Demographic | Osage beach | Sand lake |
---|---|---|
Black | 3 | Data is updating |
White | 85 | 96 |
Asian | Data is updating | Data is updating |
Hispanic | 8 | 2 |
Two or More Races | 3 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Osage beach vs Sand lake
- A higher percentage of Black residents are in Osage beach at 3% compared to 0% in Sand lake.
- The percentage of White residents is higher in Sand lake at 96% compared to 85% in Osage beach.
- Both Osage beach and Sand lake have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Osage beach at 8% compared to 2% in Sand lake.
- More residents identify as two or more races in Osage beach at 3% compared to 2% in Sand lake.
- A greater percentage of American Indian residents live in Osage beach at 1% compared to 0% in Sand lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Osage beach | Sand lake |
---|---|---|
Mental Health Not Good | 18.4% | 20.1% |
Physical Health Not Good | 13.7% | 13.7% |
Depression | 25.5% | 28.1% |
Smoking | 22.6% | 24.0% |
Binge Drinking | 18.8% | 17.8% |
Obesity | 38.5% | 40.1% |
Disability Percentage | 15.0% | 28.0% |
Health Statistics Comparison: Osage beach vs Sand lake
- In Sand lake, a higher percentage report poor mental health at 20.1% compared to 18.4% in Osage beach.
- Higher depression rates are seen in Sand lake at 28.1% versus 25.5% in Osage beach.
- Sand lake has a higher smoking rate at 24.0% compared to 22.6% in Osage beach.
- Binge drinking is more common in Osage beach at 18.8% compared to 17.8% in Sand lake.
- Sand lake has higher obesity rates at 40.1% compared to 38.5% in Osage beach.
- There is a higher percentage of disabled individuals in Sand lake at 28.0% compared to 15.0% in Osage beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Osage beach | Sand lake |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.6% (7) |
High School Diploma | 22.9% (1,105) | 27.5% (324) |
Less than High School | 22.9% (1,106) | 22.1% (260) |
Bachelor's Degree and Higher | 16.6% (801) | 12.4% (146) |
Education Levels Comparison: Osage beach vs Sand lake
- In Sand lake, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Osage beach.
- In Sand lake, the rate of residents with high school diplomas is higher at 27.5% compared to 22.9% in Osage beach.
- More residents in Osage beach have less than a high school education at 22.9% compared to 22.1% in Sand lake.
- A higher percentage of residents in Osage beach hold a bachelor's degree or higher at 16.6% 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.