Demographics details for Odessa, NY vs Monett, MO
Population Overview
Compare main population characteristics in Odessa, NY vs Monett, MO.
| Data | Odessa | Monett |
|---|---|---|
| Population | 549 | 9,789 |
| Median Age | 40.0 years | 34.7 years |
| Median Income | $81,875 | $42,635 |
| Married Families | 38.0% | 33.0% |
| Poverty Level | 7% | 15% |
| Unemployment Rate | 3.2 | 3.8 |
Population Comparison: Odessa vs Monett
- The population in Monett is higher at 9,789, compared to 549 in Odessa.
- Residents in Odessa have a higher median age of 40.0 years compared to 34.7 years in Monett.
- Odessa has a higher median income of $81,875 compared to $42,635 in Monett.
- A higher percentage of married families is found in Odessa at 38.0% compared to 33.0% in Monett.
- The poverty level is higher in Monett at 15%, compared to 7% in Odessa.
- Monett has a higher unemployment rate at 3.8% compared to 3.2% in Odessa.
Demographics
Demographics Odessa vs Monett provide insight into the diversity of the communities to compare.
| Demographic | Odessa | Monett |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 93 | 51 |
| Asian | Data is updating | 2 |
| Hispanic | 6 | 29 |
| Two or More Races | 1 | 15 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Odessa vs Monett
- The percentage of Black residents is the same in both Odessa and Monett at 0%.
- Odessa has a higher percentage of White residents at 93% compared to 51% in Monett.
- In Monett, the Asian population stands at 2%, greater than 0% in Odessa.
- Monett has a higher percentage of Hispanic residents at 29%, compared to 6% in Odessa.
- The percentage of residents identifying as two or more races is higher in Monett at 15%, compared to 1% in Odessa.
- In Monett, the percentage of American Indian residents is higher at 3%, compared to 0% in Odessa.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Odessa | Monett |
|---|---|---|
| Mental Health Not Good | 17.4% | 18.9% |
| Physical Health Not Good | 11.3% | 14.4% |
| Depression | 25.3% | 25.3% |
| Smoking | 21.4% | 22.8% |
| Binge Drinking | 19.6% | 16.5% |
| Obesity | 35.2% | 41.0% |
| Disability Percentage | 20.0% | 13.0% |
Health Statistics Comparison: Odessa vs Monett
- In Monett, a higher percentage report poor mental health at 18.9% compared to 17.4% in Odessa.
- Both cities have comparable depression rates at 25.3%.
- Monett has a higher smoking rate at 22.8% compared to 21.4% in Odessa.
- Binge drinking is more common in Odessa at 19.6% compared to 16.5% in Monett.
- Monett has higher obesity rates at 41.0% compared to 35.2% in Odessa.
- Disability percentages are higher in Odessa at 20.0% compared to 13.0% in Monett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Odessa | Monett |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (97) |
| High School Diploma | 21.9% (120) | 20.5% (2,003) |
| Less than High School | 19.7% (108) | 20.0% (1,953) |
| Bachelor's Degree and Higher | 18.6% (102) | 8.4% (822) |
Education Levels Comparison: Odessa vs Monett
- In Monett, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Odessa.
- A higher percentage of residents in Odessa hold a high school diploma at 21.9% compared to 20.5% in Monett.
- The percentage of residents with less than a high school education is higher in Monett at 20.0%, compared to 19.7% in Odessa.
- A higher percentage of residents in Odessa hold a bachelor's degree or higher at 18.6% compared to 8.4% in Monett.
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.