Demographics details for Weatherford, OK vs Covina, CA
Population Overview
Compare main population characteristics in Weatherford, OK vs Covina, CA.
| Data | Weatherford | Covina |
|---|---|---|
| Population | 11,859 | 49,489 |
| Median Age | 23.9 years | 37.6 years |
| Median Income | $47,851 | $89,650 |
| Married Families | 28.0% | 38.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 3.5 | 6.0 |
Population Comparison: Weatherford vs Covina
- The population in Covina is higher at 49,489, compared to 11,859 in Weatherford.
- The median age in Covina is higher at 37.6 years, compared to 23.9 years in Weatherford.
- Covina has a higher median income of $89,650, compared to $47,851 in Weatherford.
- In Covina, the percentage of married families is higher at 38.0%, compared to 28.0% in Weatherford.
- Weatherford has a higher poverty level at 15% compared to 12% in Covina.
- Covina has a higher unemployment rate at 6.0% compared to 3.5% in Weatherford.
Demographics
Demographics Weatherford vs Covina provide insight into the diversity of the communities to compare.
| Demographic | Weatherford | Covina |
|---|---|---|
| Black | 3 | 4 |
| White | 66 | 18 |
| Asian | 2 | 14 |
| Hispanic | 14 | 63 |
| Two or More Races | 11 | 19 |
| American Indian | 4 | 1 |
Demographics Comparison: Weatherford vs Covina
- In Covina, the percentage of Black residents is higher at 4% compared to 3% in Weatherford.
- Weatherford has a higher percentage of White residents at 66% compared to 18% in Covina.
- In Covina, the Asian population stands at 14%, greater than 2% in Weatherford.
- Covina has a higher percentage of Hispanic residents at 63%, compared to 14% in Weatherford.
- The percentage of residents identifying as two or more races is higher in Covina at 19%, compared to 11% in Weatherford.
- A greater percentage of American Indian residents live in Weatherford at 4% compared to 1% in Covina.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Weatherford | Covina |
|---|---|---|
| Mental Health Not Good | 18.6% | 15.1% |
| Physical Health Not Good | 12.3% | 10.9% |
| Depression | 25.5% | 15.9% |
| Smoking | 18.6% | 10.5% |
| Binge Drinking | 14.4% | 15.6% |
| Obesity | 44.1% | 28.2% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Weatherford vs Covina
- More residents in Weatherford report poor mental health at 18.6% compared to 15.1% in Covina.
- Depression is more prevalent in Weatherford at 25.5% compared to 15.9% in Covina.
- Smoking is more prevalent in Weatherford at 18.6% compared to 10.5% in Covina.
- More residents engage in binge drinking in Covina at 15.6% compared to 14.4% in Weatherford.
- Obesity rates are higher in Weatherford at 44.1% compared to 28.2% in Covina.
- Disability percentages are higher in Weatherford at 13.0% compared to 12.0% in Covina.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Weatherford | Covina |
|---|---|---|
| No Schooling | 0.4% (48) | 1.5% (753) |
| High School Diploma | 9.1% (1,082) | 17.4% (8,620) |
| Less than High School | 5.2% (621) | 17.2% (8,533) |
| Bachelor's Degree and Higher | 18.9% (2,246) | 18.7% (9,254) |
Education Levels Comparison: Weatherford vs Covina
- In Covina, a larger percentage of residents lack formal schooling at 1.5% compared to 0.4% in Weatherford.
- In Covina, the rate of residents with high school diplomas is higher at 17.4% compared to 9.1% in Weatherford.
- The percentage of residents with less than a high school education is higher in Covina at 17.2%, compared to 5.2% in Weatherford.
- A higher percentage of residents in Weatherford hold a bachelor's degree or higher at 18.9% compared to 18.7% in Covina.
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.