Demographics details for Odessa, MN vs Springer, OK
Population Overview
Compare main population characteristics in Odessa, MN vs Springer, OK.
| Data | Odessa | Springer |
|---|---|---|
| Population | 104 | 694 |
| Median Age | 49.4 years | 30.3 years |
| Median Income | $46,875 | $51,630 |
| Married Families | 38.0% | 42.0% |
| Poverty Level | Data is updating | 17% |
| Unemployment Rate | 2.3 | 3.5 |
Population Comparison: Odessa vs Springer
- The population in Springer is higher at 694, compared to 104 in Odessa.
- Residents in Odessa have a higher median age of 49.4 years compared to 30.3 years in Springer.
- Springer has a higher median income of $51,630, compared to $46,875 in Odessa.
- In Springer, the percentage of married families is higher at 42.0%, compared to 38.0% in Odessa.
- The poverty level is higher in Springer at 17%, compared to 0% in Odessa.
- Springer has a higher unemployment rate at 3.5% compared to 2.3% in Odessa.
Demographics
Demographics Odessa vs Springer provide insight into the diversity of the communities to compare.
| Demographic | Odessa | Springer |
|---|---|---|
| Black | Data is updating | 5 |
| White | 88 | 54 |
| Asian | 12 | Data is updating |
| Hispanic | Data is updating | 7 |
| Two or More Races | Data is updating | 21 |
| American Indian | Data is updating | 13 |
Demographics Comparison: Odessa vs Springer
- In Springer, the percentage of Black residents is higher at 5% compared to 0% in Odessa.
- Odessa has a higher percentage of White residents at 88% compared to 54% in Springer.
- The Asian population is larger in Odessa at 12% compared to 0% in Springer.
- Springer has a higher percentage of Hispanic residents at 7%, compared to 0% in Odessa.
- The percentage of residents identifying as two or more races is higher in Springer at 21%, compared to 0% in Odessa.
- In Springer, the percentage of American Indian residents is higher at 13%, compared to 0% in Odessa.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Odessa | Springer |
|---|---|---|
| Mental Health Not Good | 14.7% | 18.7% |
| Physical Health Not Good | 9.1% | 12.6% |
| Depression | 22.5% | 26.0% |
| Smoking | 17.9% | 20.5% |
| Binge Drinking | 21.4% | 15.6% |
| Obesity | 36.8% | 39.9% |
| Disability Percentage | 18.0% | 29.0% |
Health Statistics Comparison: Odessa vs Springer
- In Springer, a higher percentage report poor mental health at 18.7% compared to 14.7% in Odessa.
- Higher depression rates are seen in Springer at 26.0% versus 22.5% in Odessa.
- Springer has a higher smoking rate at 20.5% compared to 17.9% in Odessa.
- Binge drinking is more common in Odessa at 21.4% compared to 15.6% in Springer.
- Springer has higher obesity rates at 39.9% compared to 36.8% in Odessa.
- There is a higher percentage of disabled individuals in Springer at 29.0% compared to 18.0% in Odessa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Odessa | Springer |
|---|---|---|
| No Schooling | 1.9% (2) | 0.0% (Data is updating) |
| High School Diploma | 26.0% (27) | 19.2% (133) |
| Less than High School | 13.5% (14) | 19.6% (136) |
| Bachelor's Degree and Higher | 26.0% (27) | 9.4% (65) |
Education Levels Comparison: Odessa vs Springer
- A higher percentage of residents in Odessa have no formal schooling at 1.9% compared to 0.0% in Springer.
- A higher percentage of residents in Odessa hold a high school diploma at 26.0% compared to 19.2% in Springer.
- The percentage of residents with less than a high school education is higher in Springer at 19.6%, compared to 13.5% in Odessa.
- A higher percentage of residents in Odessa hold a bachelor's degree or higher at 26.0% compared to 9.4% in Springer.
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.