Demographics details for Weatherford, OK vs Hilmar, CA
Population Overview
Compare main population characteristics in Weatherford, OK vs Hilmar, CA.
| Data | Weatherford | Hilmar |
|---|---|---|
| Population | 11,859 | 11,136 |
| Median Age | 23.9 years | 36.4 years |
| Median Income | $47,851 | $71,753 |
| Married Families | 28.0% | 42.0% |
| Poverty Level | 15% | 15% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Weatherford vs Hilmar
- In Weatherford, the population is higher at 11,859, compared to 11,136 in Hilmar.
- The median age in Hilmar is higher at 36.4 years, compared to 23.9 years in Weatherford.
- Hilmar has a higher median income of $71,753, compared to $47,851 in Weatherford.
- In Hilmar, the percentage of married families is higher at 42.0%, compared to 28.0% in Weatherford.
- The poverty level is identical in both Weatherford and Hilmar at 15%.
- Hilmar has a higher unemployment rate at 4.5% compared to 3.5% in Weatherford.
Demographics
Demographics Weatherford vs Hilmar provide insight into the diversity of the communities to compare.
| Demographic | Weatherford | Hilmar |
|---|---|---|
| Black | 3 | 1 |
| White | 66 | 52 |
| Asian | 2 | 2 |
| Hispanic | 14 | 42 |
| Two or More Races | 11 | 3 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Weatherford vs Hilmar
- A higher percentage of Black residents are in Weatherford at 3% compared to 1% in Hilmar.
- Weatherford has a higher percentage of White residents at 66% compared to 52% in Hilmar.
- Both Weatherford and Hilmar have the same percentage of Asian residents at 2%.
- Hilmar has a higher percentage of Hispanic residents at 42%, compared to 14% in Weatherford.
- More residents identify as two or more races in Weatherford at 11% compared to 3% in Hilmar.
- A greater percentage of American Indian residents live in Weatherford at 4% compared to 0% in Hilmar.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Weatherford | Hilmar |
|---|---|---|
| Mental Health Not Good | 18.6% | Data is updating% |
| Physical Health Not Good | 12.3% | Data is updating% |
| Depression | 25.5% | Data is updating% |
| Smoking | 18.6% | Data is updating% |
| Binge Drinking | 14.4% | Data is updating% |
| Obesity | 44.1% | Data is updating% |
| Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Weatherford vs Hilmar
- More residents in Weatherford report poor mental health at 18.6% compared to 0.0% in Hilmar.
- Depression is more prevalent in Weatherford at 25.5% compared to 0.0% in Hilmar.
- Smoking is more prevalent in Weatherford at 18.6% compared to 0.0% in Hilmar.
- Binge drinking is more common in Weatherford at 14.4% compared to 0.0% in Hilmar.
- Obesity rates are higher in Weatherford at 44.1% compared to 0.0% in Hilmar.
- There is a higher percentage of disabled individuals in Hilmar at 14.0% compared to 13.0% in Weatherford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Weatherford | Hilmar |
|---|---|---|
| No Schooling | 0.4% (48) | 2.6% (294) |
| High School Diploma | 9.1% (1,082) | 16.8% (1,868) |
| Less than High School | 5.2% (621) | 35.7% (3,978) |
| Bachelor's Degree and Higher | 18.9% (2,246) | 6.9% (769) |
Education Levels Comparison: Weatherford vs Hilmar
- In Hilmar, a larger percentage of residents lack formal schooling at 2.6% compared to 0.4% in Weatherford.
- In Hilmar, the rate of residents with high school diplomas is higher at 16.8% compared to 9.1% in Weatherford.
- The percentage of residents with less than a high school education is higher in Hilmar at 35.7%, 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 6.9% in Hilmar.
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.