Demographics details for Ogema, WI vs Glenpool, OK
Population Overview
Compare main population characteristics in Ogema, WI vs Glenpool, OK.
| Data | Ogema | Glenpool |
|---|---|---|
| Population | 684 | 14,211 |
| Median Age | 35.0 years | 34.3 years |
| Median Income | $55,000 | $75,876 |
| Married Families | 40.0% | 42.0% |
| Poverty Level | 5% | 6% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Ogema vs Glenpool
- The population in Glenpool is higher at 14,211, compared to 684 in Ogema.
- Residents in Ogema have a higher median age of 35.0 years compared to 34.3 years in Glenpool.
- Glenpool has a higher median income of $75,876, compared to $55,000 in Ogema.
- In Glenpool, the percentage of married families is higher at 42.0%, compared to 40.0% in Ogema.
- The poverty level is higher in Glenpool at 6%, compared to 5% in Ogema.
- Glenpool has a higher unemployment rate at 3.5% compared to 3.0% in Ogema.
Demographics
Demographics Ogema vs Glenpool provide insight into the diversity of the communities to compare.
| Demographic | Ogema | Glenpool |
|---|---|---|
| Black | 1 | 3 |
| White | 96 | 61 |
| Asian | Data is updating | 4 |
| Hispanic | 2 | 9 |
| Two or More Races | 1 | 14 |
| American Indian | Data is updating | 9 |
Demographics Comparison: Ogema vs Glenpool
- In Glenpool, the percentage of Black residents is higher at 3% compared to 1% in Ogema.
- Ogema has a higher percentage of White residents at 96% compared to 61% in Glenpool.
- In Glenpool, the Asian population stands at 4%, greater than 0% in Ogema.
- Glenpool has a higher percentage of Hispanic residents at 9%, compared to 2% in Ogema.
- The percentage of residents identifying as two or more races is higher in Glenpool at 14%, compared to 1% in Ogema.
- In Glenpool, the percentage of American Indian residents is higher at 9%, compared to 0% in Ogema.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ogema | Glenpool |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.8% |
| Physical Health Not Good | Data is updating% | 11.0% |
| Depression | Data is updating% | 26.0% |
| Smoking | Data is updating% | 16.3% |
| Binge Drinking | Data is updating% | 15.1% |
| Obesity | Data is updating% | 34.9% |
| Disability Percentage | Data is updating% | 11.0% |
Health Statistics Comparison: Ogema vs Glenpool
- In Glenpool, a higher percentage report poor mental health at 17.8% compared to 0.0% in Ogema.
- Higher depression rates are seen in Glenpool at 26.0% versus 0.0% in Ogema.
- Glenpool has a higher smoking rate at 16.3% compared to 0.0% in Ogema.
- More residents engage in binge drinking in Glenpool at 15.1% compared to 0.0% in Ogema.
- Glenpool has higher obesity rates at 34.9% compared to 0.0% in Ogema.
- There is a higher percentage of disabled individuals in Glenpool at 11.0% compared to 0.0% in Ogema.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ogema | Glenpool |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (96) |
| High School Diploma | 0.0% (Data is updating) | 14.2% (2,018) |
| Less than High School | 0.0% (Data is updating) | 8.9% (1,258) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 15.4% (2,184) |
Education Levels Comparison: Ogema vs Glenpool
- In Glenpool, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Ogema.
- In Glenpool, the rate of residents with high school diplomas is higher at 14.2% compared to 0.0% in Ogema.
- The percentage of residents with less than a high school education is higher in Glenpool at 8.9%, compared to 0.0% in Ogema.
- In Glenpool, a larger share of residents have a bachelor's degree or higher at 15.4% compared to 0.0% in Ogema.
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.