Demographics details for El paso, TX vs Jefferson, WI
Population Overview
Compare main population characteristics in El paso, TX vs Jefferson, WI.
| Data | El paso | Jefferson |
|---|---|---|
| Population | 677,456 | 7,649 |
| Median Age | 33.7 years | 44.8 years |
| Median Income | $55,710 | $69,844 |
| Married Families | 35.0% | 37.0% |
| Poverty Level | 17% | 5% |
| Unemployment Rate | 4.6 | 3.5 |
Population Comparison: El paso vs Jefferson
- In El paso, the population is higher at 677,456, compared to 7,649 in Jefferson.
- The median age in Jefferson is higher at 44.8 years, compared to 33.7 years in El paso.
- Jefferson has a higher median income of $69,844, compared to $55,710 in El paso.
- In Jefferson, the percentage of married families is higher at 37.0%, compared to 35.0% in El paso.
- El paso has a higher poverty level at 17% compared to 5% in Jefferson.
- The unemployment rate in El paso is higher at 4.6%, compared to 3.5% in Jefferson.
Demographics
Demographics El paso vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | El paso | Jefferson |
|---|---|---|
| Black | 4 | 2 |
| White | -18 | 79 |
| Asian | 1 | Data is updating |
| Hispanic | 82 | 15 |
| Two or More Races | 30 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: El paso vs Jefferson
- A higher percentage of Black residents are in El paso at 4% compared to 2% in Jefferson.
- The percentage of White residents is higher in Jefferson at 79% compared to -18% in El paso.
- The Asian population is larger in El paso at 1% compared to 0% in Jefferson.
- The Hispanic community is larger in El paso at 82% compared to 15% in Jefferson.
- More residents identify as two or more races in El paso at 30% compared to 4% in Jefferson.
- A greater percentage of American Indian residents live in El paso at 1% compared to 0% in Jefferson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | El paso | Jefferson |
|---|---|---|
| Mental Health Not Good | 17.0% | 14.7% |
| Physical Health Not Good | 13.1% | 9.8% |
| Depression | 22.6% | 22.9% |
| Smoking | 15.2% | 15.3% |
| Binge Drinking | 15.7% | 24.2% |
| Obesity | 37.6% | 33.7% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: El paso vs Jefferson
- More residents in El paso report poor mental health at 17.0% compared to 14.7% in Jefferson.
- Higher depression rates are seen in Jefferson at 22.9% versus 22.6% in El paso.
- Jefferson has a higher smoking rate at 15.3% compared to 15.2% in El paso.
- More residents engage in binge drinking in Jefferson at 24.2% compared to 15.7% in El paso.
- Obesity rates are higher in El paso at 37.6% compared to 33.7% in Jefferson.
- Disability percentages are the same in both El paso and Jefferson at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | El paso | Jefferson |
|---|---|---|
| No Schooling | 1.9% (12,694) | 2.8% (215) |
| High School Diploma | 11.2% (76,132) | 24.4% (1,865) |
| Less than High School | 23.2% (157,021) | 13.3% (1,019) |
| Bachelor's Degree and Higher | 17.1% (116,175) | 16.4% (1,254) |
Education Levels Comparison: El paso vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.8% compared to 1.9% in El paso.
- In Jefferson, the rate of residents with high school diplomas is higher at 24.4% compared to 11.2% in El paso.
- More residents in El paso have less than a high school education at 23.2% compared to 13.3% in Jefferson.
- A higher percentage of residents in El paso hold a bachelor's degree or higher at 17.1% compared to 16.4% in Jefferson.
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.