Demographics details for Pharr, TX vs Eddyville, OR
Population Overview
Compare main population characteristics in Pharr, TX vs Eddyville, OR.
| Data | Pharr | Eddyville |
|---|---|---|
| Population | 80,179 | 942 |
| Median Age | 29.4 years | 54.6 years |
| Median Income | $45,016 | $98,174 |
| Married Families | 34.0% | 37.0% |
| Poverty Level | 24% | 12% |
| Unemployment Rate | 7.6 | 4.5 |
Population Comparison: Pharr vs Eddyville
- In Pharr, the population is higher at 80,179, compared to 942 in Eddyville.
- The median age in Eddyville is higher at 54.6 years, compared to 29.4 years in Pharr.
- Eddyville has a higher median income of $98,174, compared to $45,016 in Pharr.
- In Eddyville, the percentage of married families is higher at 37.0%, compared to 34.0% in Pharr.
- Pharr has a higher poverty level at 24% compared to 12% in Eddyville.
- The unemployment rate in Pharr is higher at 7.6%, compared to 4.5% in Eddyville.
Demographics
Demographics Pharr vs Eddyville provide insight into the diversity of the communities to compare.
| Demographic | Pharr | Eddyville |
|---|---|---|
| Black | 1 | Data is updating |
| White | -26 | 76 |
| Asian | Data is updating | Data is updating |
| Hispanic | 94 | 9 |
| Two or More Races | 31 | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pharr vs Eddyville
- A higher percentage of Black residents are in Pharr at 1% compared to 0% in Eddyville.
- The percentage of White residents is higher in Eddyville at 76% compared to -26% in Pharr.
- Both Pharr and Eddyville have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Pharr at 94% compared to 9% in Eddyville.
- More residents identify as two or more races in Pharr at 31% compared to 15% in Eddyville.
- The percentage of American Indian residents is the same in both Pharr and Eddyville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pharr | Eddyville |
|---|---|---|
| Mental Health Not Good | 18.7% | Data is updating% |
| Physical Health Not Good | 16.5% | Data is updating% |
| Depression | 19.9% | Data is updating% |
| Smoking | 17.0% | Data is updating% |
| Binge Drinking | 15.8% | Data is updating% |
| Obesity | 45.4% | Data is updating% |
| Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Pharr vs Eddyville
- More residents in Pharr report poor mental health at 18.7% compared to 0.0% in Eddyville.
- Depression is more prevalent in Pharr at 19.9% compared to 0.0% in Eddyville.
- Smoking is more prevalent in Pharr at 17.0% compared to 0.0% in Eddyville.
- Binge drinking is more common in Pharr at 15.8% compared to 0.0% in Eddyville.
- Obesity rates are higher in Pharr at 45.4% compared to 0.0% in Eddyville.
- There is a higher percentage of disabled individuals in Eddyville at 17.0% compared to 11.0% in Pharr.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pharr | Eddyville |
|---|---|---|
| No Schooling | 2.1% (1,723) | 0.0% (Data is updating) |
| High School Diploma | 13.2% (10,587) | 17.7% (167) |
| Less than High School | 33.7% (27,024) | 8.1% (76) |
| Bachelor's Degree and Higher | 9.7% (7,741) | 16.0% (151) |
Education Levels Comparison: Pharr vs Eddyville
- A higher percentage of residents in Pharr have no formal schooling at 2.1% compared to 0.0% in Eddyville.
- In Eddyville, the rate of residents with high school diplomas is higher at 17.7% compared to 13.2% in Pharr.
- More residents in Pharr have less than a high school education at 33.7% compared to 8.1% in Eddyville.
- In Eddyville, a larger share of residents have a bachelor's degree or higher at 16.0% compared to 9.7% in Pharr.
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.