Demographics details for Lake odessa, MI vs Laurel, IN
Population Overview
Compare main population characteristics in Lake odessa, MI vs Laurel, IN.
| Data | Lake odessa | Laurel |
|---|---|---|
| Population | 2,062 | 411 |
| Median Age | 36.0 years | 27.8 years |
| Median Income | $66,397 | $23,125 |
| Married Families | 40.0% | 25.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Lake odessa vs Laurel
- In Lake odessa, the population is higher at 2,062, compared to 411 in Laurel.
- Residents in Lake odessa have a higher median age of 36.0 years compared to 27.8 years in Laurel.
- Lake odessa has a higher median income of $66,397 compared to $23,125 in Laurel.
- A higher percentage of married families is found in Lake odessa at 40.0% compared to 25.0% in Laurel.
- The poverty level is higher in Laurel at 11%, compared to 10% in Lake odessa.
- The unemployment rate is the same in both Lake odessa and Laurel at 3.5%.
Demographics
Demographics Lake odessa vs Laurel provide insight into the diversity of the communities to compare.
| Demographic | Lake odessa | Laurel |
|---|---|---|
| Black | 3 | 5 |
| White | 81 | 74 |
| Asian | 1 | Data is updating |
| Hispanic | 6 | Data is updating |
| Two or More Races | 9 | 21 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lake odessa vs Laurel
- In Laurel, the percentage of Black residents is higher at 5% compared to 3% in Lake odessa.
- Lake odessa has a higher percentage of White residents at 81% compared to 74% in Laurel.
- The Asian population is larger in Lake odessa at 1% compared to 0% in Laurel.
- The Hispanic community is larger in Lake odessa at 6% compared to 0% in Laurel.
- The percentage of residents identifying as two or more races is higher in Laurel at 21%, compared to 9% in Lake odessa.
- The percentage of American Indian residents is the same in both Lake odessa and Laurel at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lake odessa | Laurel |
|---|---|---|
| Mental Health Not Good | 17.5% | 19.6% |
| Physical Health Not Good | 11.1% | 14.0% |
| Depression | 24.5% | 27.9% |
| Smoking | 19.0% | 26.2% |
| Binge Drinking | 18.6% | 17.0% |
| Obesity | 35.7% | 37.5% |
| Disability Percentage | 15.0% | 23.0% |
Health Statistics Comparison: Lake odessa vs Laurel
- In Laurel, a higher percentage report poor mental health at 19.6% compared to 17.5% in Lake odessa.
- Higher depression rates are seen in Laurel at 27.9% versus 24.5% in Lake odessa.
- Laurel has a higher smoking rate at 26.2% compared to 19.0% in Lake odessa.
- Binge drinking is more common in Lake odessa at 18.6% compared to 17.0% in Laurel.
- Laurel has higher obesity rates at 37.5% compared to 35.7% in Lake odessa.
- There is a higher percentage of disabled individuals in Laurel at 23.0% 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 | Laurel |
|---|---|---|
| No Schooling | 0.2% (5) | 0.5% (2) |
| High School Diploma | 21.2% (438) | 30.7% (126) |
| Less than High School | 15.7% (324) | 47.9% (197) |
| Bachelor's Degree and Higher | 10.8% (222) | 1.9% (8) |
Education Levels Comparison: Lake odessa vs Laurel
- In Laurel, a larger percentage of residents lack formal schooling at 0.5% compared to 0.2% in Lake odessa.
- In Laurel, the rate of residents with high school diplomas is higher at 30.7% compared to 21.2% in Lake odessa.
- The percentage of residents with less than a high school education is higher in Laurel at 47.9%, compared to 15.7% in Lake odessa.
- A higher percentage of residents in Lake odessa hold a bachelor's degree or higher at 10.8% compared to 1.9% in Laurel.
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.