Demographics details for Lake odessa, MI vs What cheer, IA
Population Overview
Compare main population characteristics in Lake odessa, MI vs What cheer, IA.
Data | Lake odessa | What cheer |
---|---|---|
Population | 2,062 | 597 |
Median Age | 36.0 years | 34.8 years |
Median Income | $66,397 | $45,500 |
Married Families | 40.0% | 45.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.5 | 3.9 |
Population Comparison: Lake odessa vs What cheer
- In Lake odessa, the population is higher at 2,062, compared to 597 in What cheer.
- Residents in Lake odessa have a higher median age of 36.0 years compared to 34.8 years in What cheer.
- Lake odessa has a higher median income of $66,397 compared to $45,500 in What cheer.
- In What cheer, the percentage of married families is higher at 45.0%, compared to 40.0% in Lake odessa.
- The poverty level is higher in What cheer at 12%, compared to 10% in Lake odessa.
- What cheer has a higher unemployment rate at 3.9% compared to 3.5% in Lake odessa.
Demographics
Demographics Lake odessa vs What cheer provide insight into the diversity of the communities to compare.
Demographic | Lake odessa | What cheer |
---|---|---|
Black | 3 | 3 |
White | 81 | 87 |
Asian | 1 | Data is updating |
Hispanic | 6 | 6 |
Two or More Races | 9 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lake odessa vs What cheer
- The percentage of Black residents is the same in both Lake odessa and What cheer at 3%.
- The percentage of White residents is higher in What cheer at 87% compared to 81% in Lake odessa.
- The Asian population is larger in Lake odessa at 1% compared to 0% in What cheer.
- The percentage of Hispanic residents is the same in both Lake odessa and What cheer at 6%.
- More residents identify as two or more races in Lake odessa at 9% compared to 4% in What cheer.
- The percentage of American Indian residents is the same in both Lake odessa and What cheer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lake odessa | What cheer |
---|---|---|
Mental Health Not Good | 17.5% | 17.0% |
Physical Health Not Good | 11.1% | 11.3% |
Depression | 24.5% | 20.1% |
Smoking | 19.0% | 21.2% |
Binge Drinking | 18.6% | 21.0% |
Obesity | 35.7% | 40.1% |
Disability Percentage | 15.0% | 30.0% |
Health Statistics Comparison: Lake odessa vs What cheer
- More residents in Lake odessa report poor mental health at 17.5% compared to 17.0% in What cheer.
- Depression is more prevalent in Lake odessa at 24.5% compared to 20.1% in What cheer.
- What cheer has a higher smoking rate at 21.2% compared to 19.0% in Lake odessa.
- More residents engage in binge drinking in What cheer at 21.0% compared to 18.6% in Lake odessa.
- What cheer has higher obesity rates at 40.1% compared to 35.7% in Lake odessa.
- There is a higher percentage of disabled individuals in What cheer at 30.0% compared to 15.0% in Lake odessa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lake odessa | What cheer |
---|---|---|
No Schooling | 0.2% (5) | 1.5% (9) |
High School Diploma | 21.2% (438) | 31.8% (190) |
Less than High School | 15.7% (324) | 11.9% (71) |
Bachelor's Degree and Higher | 10.8% (222) | 5.0% (30) |
Education Levels Comparison: Lake odessa vs What cheer
- In What cheer, a larger percentage of residents lack formal schooling at 1.5% compared to 0.2% in Lake odessa.
- In What cheer, the rate of residents with high school diplomas is higher at 31.8% compared to 21.2% in Lake odessa.
- More residents in Lake odessa have less than a high school education at 15.7% compared to 11.9% in What cheer.
- A higher percentage of residents in Lake odessa hold a bachelor's degree or higher at 10.8% compared to 5.0% in What cheer.
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.