Demographics details for Odessa, MN vs Waterman, IL
Population Overview
Compare main population characteristics in Odessa, MN vs Waterman, IL.
| Data | Odessa | Waterman |
|---|---|---|
| Population | 104 | 1,427 |
| Median Age | 49.4 years | 36.2 years |
| Median Income | $46,875 | $87,292 |
| Married Families | 38.0% | 50.0% |
| Poverty Level | Data is updating | 6% |
| Unemployment Rate | 2.3 | 4.1 |
Population Comparison: Odessa vs Waterman
- The population in Waterman is higher at 1,427, compared to 104 in Odessa.
- Residents in Odessa have a higher median age of 49.4 years compared to 36.2 years in Waterman.
- Waterman has a higher median income of $87,292, compared to $46,875 in Odessa.
- In Waterman, the percentage of married families is higher at 50.0%, compared to 38.0% in Odessa.
- The poverty level is higher in Waterman at 6%, compared to 0% in Odessa.
- Waterman has a higher unemployment rate at 4.1% compared to 2.3% in Odessa.
Demographics
Demographics Odessa vs Waterman provide insight into the diversity of the communities to compare.
| Demographic | Odessa | Waterman |
|---|---|---|
| Black | Data is updating | 2 |
| White | 88 | 78 |
| Asian | 12 | 1 |
| Hispanic | Data is updating | 10 |
| Two or More Races | Data is updating | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Odessa vs Waterman
- In Waterman, the percentage of Black residents is higher at 2% compared to 0% in Odessa.
- Odessa has a higher percentage of White residents at 88% compared to 78% in Waterman.
- The Asian population is larger in Odessa at 12% compared to 1% in Waterman.
- Waterman has a higher percentage of Hispanic residents at 10%, compared to 0% in Odessa.
- The percentage of residents identifying as two or more races is higher in Waterman at 9%, compared to 0% in Odessa.
- The percentage of American Indian residents is the same in both Odessa and Waterman at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Odessa | Waterman |
|---|---|---|
| Mental Health Not Good | 14.7% | 16.0% |
| Physical Health Not Good | 9.1% | 10.4% |
| Depression | 22.5% | 21.6% |
| Smoking | 17.9% | 16.2% |
| Binge Drinking | 21.4% | 18.7% |
| Obesity | 36.8% | 36.4% |
| Disability Percentage | 18.0% | 10.0% |
Health Statistics Comparison: Odessa vs Waterman
- In Waterman, a higher percentage report poor mental health at 16.0% compared to 14.7% in Odessa.
- Depression is more prevalent in Odessa at 22.5% compared to 21.6% in Waterman.
- Smoking is more prevalent in Odessa at 17.9% compared to 16.2% in Waterman.
- Binge drinking is more common in Odessa at 21.4% compared to 18.7% in Waterman.
- Obesity rates are higher in Odessa at 36.8% compared to 36.4% in Waterman.
- Disability percentages are higher in Odessa at 18.0% compared to 10.0% in Waterman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Odessa | Waterman |
|---|---|---|
| No Schooling | 1.9% (2) | 0.0% (Data is updating) |
| High School Diploma | 26.0% (27) | 22.6% (323) |
| Less than High School | 13.5% (14) | 8.5% (122) |
| Bachelor's Degree and Higher | 26.0% (27) | 15.5% (221) |
Education Levels Comparison: Odessa vs Waterman
- A higher percentage of residents in Odessa have no formal schooling at 1.9% compared to 0.0% in Waterman.
- A higher percentage of residents in Odessa hold a high school diploma at 26.0% compared to 22.6% in Waterman.
- More residents in Odessa have less than a high school education at 13.5% compared to 8.5% in Waterman.
- A higher percentage of residents in Odessa hold a bachelor's degree or higher at 26.0% compared to 15.5% in Waterman.
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.