Demographics details for Glenpool, OK vs Long beach, CA
Population Overview
Compare main population characteristics in Glenpool, OK vs Long beach, CA.
| Data | Glenpool | Long beach |
|---|---|---|
| Population | 14,211 | 451,307 |
| Median Age | 34.3 years | 36.1 years |
| Median Income | $75,876 | $78,995 |
| Married Families | 42.0% | 32.0% |
| Poverty Level | 6% | 18% |
| Unemployment Rate | 3.5 | 6.0 |
Population Comparison: Glenpool vs Long beach
- The population in Long beach is higher at 451,307, compared to 14,211 in Glenpool.
- The median age in Long beach is higher at 36.1 years, compared to 34.3 years in Glenpool.
- Long beach has a higher median income of $78,995, compared to $75,876 in Glenpool.
- A higher percentage of married families is found in Glenpool at 42.0% compared to 32.0% in Long beach.
- The poverty level is higher in Long beach at 18%, compared to 6% in Glenpool.
- Long beach has a higher unemployment rate at 6.0% compared to 3.5% in Glenpool.
Demographics
Demographics Glenpool vs Long beach provide insight into the diversity of the communities to compare.
| Demographic | Glenpool | Long beach |
|---|---|---|
| Black | 3 | 12 |
| White | 61 | 17 |
| Asian | 4 | 13 |
| Hispanic | 9 | 45 |
| Two or More Races | 14 | 12 |
| American Indian | 9 | 1 |
Demographics Comparison: Glenpool vs Long beach
- In Long beach, the percentage of Black residents is higher at 12% compared to 3% in Glenpool.
- Glenpool has a higher percentage of White residents at 61% compared to 17% in Long beach.
- In Long beach, the Asian population stands at 13%, greater than 4% in Glenpool.
- Long beach has a higher percentage of Hispanic residents at 45%, compared to 9% in Glenpool.
- More residents identify as two or more races in Glenpool at 14% compared to 12% in Long beach.
- A greater percentage of American Indian residents live in Glenpool at 9% compared to 1% in Long beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Glenpool | Long beach |
|---|---|---|
| Mental Health Not Good | 17.8% | 16.0% |
| Physical Health Not Good | 11.0% | 11.6% |
| Depression | 26.0% | 16.2% |
| Smoking | 16.3% | 12.0% |
| Binge Drinking | 15.1% | 14.9% |
| Obesity | 34.9% | 29.3% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Glenpool vs Long beach
- More residents in Glenpool report poor mental health at 17.8% compared to 16.0% in Long beach.
- Depression is more prevalent in Glenpool at 26.0% compared to 16.2% in Long beach.
- Smoking is more prevalent in Glenpool at 16.3% compared to 12.0% in Long beach.
- Binge drinking is more common in Glenpool at 15.1% compared to 14.9% in Long beach.
- Obesity rates are higher in Glenpool at 34.9% compared to 29.3% in Long beach.
- Disability percentages are the same in both Glenpool and Long beach at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Glenpool | Long beach |
|---|---|---|
| No Schooling | 0.7% (96) | 4.6% (20,870) |
| High School Diploma | 14.2% (2,018) | 11.0% (49,640) |
| Less than High School | 8.9% (1,258) | 23.7% (106,838) |
| Bachelor's Degree and Higher | 15.4% (2,184) | 23.8% (107,451) |
Education Levels Comparison: Glenpool vs Long beach
- In Long beach, a larger percentage of residents lack formal schooling at 4.6% compared to 0.7% in Glenpool.
- A higher percentage of residents in Glenpool hold a high school diploma at 14.2% compared to 11.0% in Long beach.
- The percentage of residents with less than a high school education is higher in Long beach at 23.7%, compared to 8.9% in Glenpool.
- In Long beach, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 15.4% in Glenpool.
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.