Demographics details for Odessa, MO vs Mitchell, IN
Population Overview
Compare main population characteristics in Odessa, MO vs Mitchell, IN.
| Data | Odessa | Mitchell |
|---|---|---|
| Population | 5,606 | 3,940 |
| Median Age | 40.0 years | 35.5 years |
| Median Income | $86,125 | $51,025 |
| Married Families | 42.0% | 32.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Odessa vs Mitchell
- In Odessa, the population is higher at 5,606, compared to 3,940 in Mitchell.
- Residents in Odessa have a higher median age of 40.0 years compared to 35.5 years in Mitchell.
- Odessa has a higher median income of $86,125 compared to $51,025 in Mitchell.
- A higher percentage of married families is found in Odessa at 42.0% compared to 32.0% in Mitchell.
- The poverty level is higher in Mitchell at 10%, compared to 6% in Odessa.
- Mitchell has a higher unemployment rate at 3.5% compared to 3.2% in Odessa.
Demographics
Demographics Odessa vs Mitchell provide insight into the diversity of the communities to compare.
| Demographic | Odessa | Mitchell |
|---|---|---|
| Black | 1 | 1 |
| White | 94 | 92 |
| Asian | Data is updating | 4 |
| Hispanic | 2 | 1 |
| Two or More Races | 2 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Odessa vs Mitchell
- The percentage of Black residents is the same in both Odessa and Mitchell at 1%.
- Odessa has a higher percentage of White residents at 94% compared to 92% in Mitchell.
- In Mitchell, the Asian population stands at 4%, greater than 0% in Odessa.
- The Hispanic community is larger in Odessa at 2% compared to 1% in Mitchell.
- Both Odessa and Mitchell have the same percentage of residents identifying as two or more races at 2%.
- A greater percentage of American Indian residents live in Odessa at 1% compared to 0% in Mitchell.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Odessa | Mitchell |
|---|---|---|
| Mental Health Not Good | 17.5% | 19.4% |
| Physical Health Not Good | 12.4% | 13.7% |
| Depression | 24.4% | 28.5% |
| Smoking | 21.6% | 24.3% |
| Binge Drinking | 19.9% | 15.9% |
| Obesity | 40.2% | 43.5% |
| Disability Percentage | 12.0% | 21.0% |
Health Statistics Comparison: Odessa vs Mitchell
- In Mitchell, a higher percentage report poor mental health at 19.4% compared to 17.5% in Odessa.
- Higher depression rates are seen in Mitchell at 28.5% versus 24.4% in Odessa.
- Mitchell has a higher smoking rate at 24.3% compared to 21.6% in Odessa.
- Binge drinking is more common in Odessa at 19.9% compared to 15.9% in Mitchell.
- Mitchell has higher obesity rates at 43.5% compared to 40.2% in Odessa.
- There is a higher percentage of disabled individuals in Mitchell at 21.0% compared to 12.0% in Odessa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Odessa | Mitchell |
|---|---|---|
| No Schooling | 0.4% (20) | 1.6% (63) |
| High School Diploma | 27.2% (1,526) | 20.4% (802) |
| Less than High School | 8.6% (484) | 29.2% (1,152) |
| Bachelor's Degree and Higher | 15.4% (861) | 9.8% (387) |
Education Levels Comparison: Odessa vs Mitchell
- In Mitchell, a larger percentage of residents lack formal schooling at 1.6% compared to 0.4% in Odessa.
- A higher percentage of residents in Odessa hold a high school diploma at 27.2% compared to 20.4% in Mitchell.
- The percentage of residents with less than a high school education is higher in Mitchell at 29.2%, compared to 8.6% in Odessa.
- A higher percentage of residents in Odessa hold a bachelor's degree or higher at 15.4% compared to 9.8% in Mitchell.
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.