Demographics details for Inez, TX vs Jefferson, OR
Population Overview
Compare main population characteristics in Inez, TX vs Jefferson, OR.
| Data | Inez | Jefferson |
|---|---|---|
| Population | 2,435 | 3,304 |
| Median Age | 39.0 years | 31.7 years |
| Median Income | $83,438 | $87,604 |
| Married Families | 54.0% | 39.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Inez vs Jefferson
- The population in Jefferson is higher at 3,304, compared to 2,435 in Inez.
- Residents in Inez have a higher median age of 39.0 years compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604, compared to $83,438 in Inez.
- A higher percentage of married families is found in Inez at 54.0% compared to 39.0% in Jefferson.
- Inez has a higher poverty level at 12% compared to 10% in Jefferson.
- The unemployment rate in Inez is higher at 4.5%, compared to 3.5% in Jefferson.
Demographics
Demographics Inez vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Inez | Jefferson |
|---|---|---|
| Black | Data is updating | 2 |
| White | 86 | 67 |
| Asian | Data is updating | Data is updating |
| Hispanic | 9 | 20 |
| Two or More Races | 5 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Inez vs Jefferson
- In Jefferson, the percentage of Black residents is higher at 2% compared to 0% in Inez.
- Inez has a higher percentage of White residents at 86% compared to 67% in Jefferson.
- Both Inez and Jefferson have the same percentage of Asian residents at 0%.
- Jefferson has a higher percentage of Hispanic residents at 20%, compared to 9% in Inez.
- The percentage of residents identifying as two or more races is higher in Jefferson at 10%, compared to 5% in Inez.
- In Jefferson, the percentage of American Indian residents is higher at 1%, compared to 0% in Inez.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Inez | Jefferson |
|---|---|---|
| Mental Health Not Good | 16.5% | 18.4% |
| Physical Health Not Good | 9.9% | 12.0% |
| Depression | 24.1% | 28.9% |
| Smoking | 14.6% | 16.5% |
| Binge Drinking | 20.4% | 16.4% |
| Obesity | 35.7% | 36.5% |
| Disability Percentage | 12.0% | 13.0% |
Health Statistics Comparison: Inez vs Jefferson
- In Jefferson, a higher percentage report poor mental health at 18.4% compared to 16.5% in Inez.
- Higher depression rates are seen in Jefferson at 28.9% versus 24.1% in Inez.
- Jefferson has a higher smoking rate at 16.5% compared to 14.6% in Inez.
- Binge drinking is more common in Inez at 20.4% compared to 16.4% in Jefferson.
- Jefferson has higher obesity rates at 36.5% compared to 35.7% in Inez.
- There is a higher percentage of disabled individuals in Jefferson at 13.0% compared to 12.0% in Inez.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Inez | Jefferson |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.4% (78) |
| High School Diploma | 12.8% (312) | 13.0% (430) |
| Less than High School | 3.9% (94) | 13.9% (458) |
| Bachelor's Degree and Higher | 22.6% (551) | 11.0% (363) |
Education Levels Comparison: Inez vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Inez.
- In Jefferson, the rate of residents with high school diplomas is higher at 13.0% compared to 12.8% in Inez.
- The percentage of residents with less than a high school education is higher in Jefferson at 13.9%, compared to 3.9% in Inez.
- A higher percentage of residents in Inez hold a bachelor's degree or higher at 22.6% compared to 11.0% 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.