Demographics details for Odessa, MO vs Bethlehem, PA
Population Overview
Compare main population characteristics in Odessa, MO vs Bethlehem, PA.
| Data | Odessa | Bethlehem |
|---|---|---|
| Population | 5,606 | 77,617 |
| Median Age | 40.0 years | 35.9 years |
| Median Income | $86,125 | $62,072 |
| Married Families | 42.0% | 29.0% |
| Poverty Level | 6% | 13% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Odessa vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 5,606 in Odessa.
- Residents in Odessa have a higher median age of 40.0 years compared to 35.9 years in Bethlehem.
- Odessa has a higher median income of $86,125 compared to $62,072 in Bethlehem.
- A higher percentage of married families is found in Odessa at 42.0% compared to 29.0% in Bethlehem.
- The poverty level is higher in Bethlehem at 13%, compared to 6% in Odessa.
- Bethlehem has a higher unemployment rate at 3.5% compared to 3.2% in Odessa.
Demographics
Demographics Odessa vs Bethlehem provide insight into the diversity of the communities to compare.
| Demographic | Odessa | Bethlehem |
|---|---|---|
| Black | 1 | 9 |
| White | 94 | 47 |
| Asian | Data is updating | 3 |
| Hispanic | 2 | 30 |
| Two or More Races | 2 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Odessa vs Bethlehem
- In Bethlehem, the percentage of Black residents is higher at 9% compared to 1% in Odessa.
- Odessa has a higher percentage of White residents at 94% compared to 47% in Bethlehem.
- In Bethlehem, the Asian population stands at 3%, greater than 0% in Odessa.
- Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 2% in Odessa.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 2% in Odessa.
- A greater percentage of American Indian residents live in Odessa at 1% compared to 0% in Bethlehem.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Odessa | Bethlehem |
|---|---|---|
| Mental Health Not Good | 17.5% | 16.9% |
| Physical Health Not Good | 12.4% | 12.1% |
| Depression | 24.4% | 21.8% |
| Smoking | 21.6% | 18.4% |
| Binge Drinking | 19.9% | 17.6% |
| Obesity | 40.2% | 34.7% |
| Disability Percentage | 12.0% | 13.0% |
Health Statistics Comparison: Odessa vs Bethlehem
- More residents in Odessa report poor mental health at 17.5% compared to 16.9% in Bethlehem.
- Depression is more prevalent in Odessa at 24.4% compared to 21.8% in Bethlehem.
- Smoking is more prevalent in Odessa at 21.6% compared to 18.4% in Bethlehem.
- Binge drinking is more common in Odessa at 19.9% compared to 17.6% in Bethlehem.
- Obesity rates are higher in Odessa at 40.2% compared to 34.7% in Bethlehem.
- There is a higher percentage of disabled individuals in Bethlehem at 13.0% 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 | Bethlehem |
|---|---|---|
| No Schooling | 0.4% (20) | 0.6% (452) |
| High School Diploma | 27.2% (1,526) | 16.9% (13,125) |
| Less than High School | 8.6% (484) | 12.9% (10,045) |
| Bachelor's Degree and Higher | 15.4% (861) | 22.0% (17,044) |
Education Levels Comparison: Odessa vs Bethlehem
- In Bethlehem, a larger percentage of residents lack formal schooling at 0.6% compared to 0.4% in Odessa.
- A higher percentage of residents in Odessa hold a high school diploma at 27.2% compared to 16.9% in Bethlehem.
- The percentage of residents with less than a high school education is higher in Bethlehem at 12.9%, compared to 8.6% in Odessa.
- In Bethlehem, a larger share of residents have a bachelor's degree or higher at 22.0% 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.