Demographics details for Odessa, MO vs Woods hole, MA
Population Overview
Compare main population characteristics in Odessa, MO vs Woods hole, MA.
| Data | Odessa | Woods hole |
|---|---|---|
| Population | 5,606 | 992 |
| Median Age | 40.0 years | 65.8 years |
| Median Income | $86,125 | $72,031 |
| Married Families | 42.0% | 36.0% |
| Poverty Level | 6% | 5% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Odessa vs Woods hole
- In Odessa, the population is higher at 5,606, compared to 992 in Woods hole.
- The median age in Woods hole is higher at 65.8 years, compared to 40.0 years in Odessa.
- Odessa has a higher median income of $86,125 compared to $72,031 in Woods hole.
- A higher percentage of married families is found in Odessa at 42.0% compared to 36.0% in Woods hole.
- Odessa has a higher poverty level at 6% compared to 5% in Woods hole.
- Woods hole has a higher unemployment rate at 3.5% compared to 3.2% in Odessa.
Demographics
Demographics Odessa vs Woods hole provide insight into the diversity of the communities to compare.
| Demographic | Odessa | Woods hole |
|---|---|---|
| Black | 1 | Data is updating |
| White | 94 | 96 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 2 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Odessa vs Woods hole
- A higher percentage of Black residents are in Odessa at 1% compared to 0% in Woods hole.
- The percentage of White residents is higher in Woods hole at 96% compared to 94% in Odessa.
- Both Odessa and Woods hole have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Odessa at 2% compared to 0% in Woods hole.
- The percentage of residents identifying as two or more races is higher in Woods hole at 4%, compared to 2% in Odessa.
- A greater percentage of American Indian residents live in Odessa at 1% compared to 0% in Woods hole.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Odessa | Woods hole |
|---|---|---|
| Mental Health Not Good | 17.5% | 13.8% |
| Physical Health Not Good | 12.4% | 7.3% |
| Depression | 24.4% | 21.5% |
| Smoking | 21.6% | 9.5% |
| Binge Drinking | 19.9% | 19.3% |
| Obesity | 40.2% | 26.0% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Odessa vs Woods hole
- More residents in Odessa report poor mental health at 17.5% compared to 13.8% in Woods hole.
- Depression is more prevalent in Odessa at 24.4% compared to 21.5% in Woods hole.
- Smoking is more prevalent in Odessa at 21.6% compared to 9.5% in Woods hole.
- Binge drinking is more common in Odessa at 19.9% compared to 19.3% in Woods hole.
- Obesity rates are higher in Odessa at 40.2% compared to 26.0% in Woods hole.
- Disability percentages are the same in both Odessa and Woods hole at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Odessa | Woods hole |
|---|---|---|
| No Schooling | 0.4% (20) | 0.0% (Data is updating) |
| High School Diploma | 27.2% (1,526) | 7.4% (73) |
| Less than High School | 8.6% (484) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 15.4% (861) | 67.2% (667) |
Education Levels Comparison: Odessa vs Woods hole
- A higher percentage of residents in Odessa have no formal schooling at 0.4% compared to 0.0% in Woods hole.
- A higher percentage of residents in Odessa hold a high school diploma at 27.2% compared to 7.4% in Woods hole.
- More residents in Odessa have less than a high school education at 8.6% compared to 0.0% in Woods hole.
- In Woods hole, a larger share of residents have a bachelor's degree or higher at 67.2% compared to 15.4% in Odessa.
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.