Demographics details for La junta, CO vs Jefferson, MD
Population Overview
Compare main population characteristics in La junta, CO vs Jefferson, MD.
| Data | La junta | Jefferson |
|---|---|---|
| Population | 7,152 | 2,742 |
| Median Age | 40.3 years | 41.4 years |
| Median Income | $50,799 | $137,667 |
| Married Families | 35.0% | 51.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: La junta vs Jefferson
- In La junta, the population is higher at 7,152, compared to 2,742 in Jefferson.
- The median age in Jefferson is higher at 41.4 years, compared to 40.3 years in La junta.
- Jefferson has a higher median income of $137,667, compared to $50,799 in La junta.
- In Jefferson, the percentage of married families is higher at 51.0%, compared to 35.0% in La junta.
- La junta has a higher poverty level at 15% compared to 0% in Jefferson.
- The unemployment rate in La junta is higher at 3.5%, compared to 3.2% in Jefferson.
Demographics
Demographics La junta vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | La junta | Jefferson |
|---|---|---|
| Black | 1 | 6 |
| White | 38 | 82 |
| Asian | 1 | 3 |
| Hispanic | 46 | 5 |
| Two or More Races | 11 | 4 |
| American Indian | 3 | Data is updating |
Demographics Comparison: La junta vs Jefferson
- In Jefferson, the percentage of Black residents is higher at 6% compared to 1% in La junta.
- The percentage of White residents is higher in Jefferson at 82% compared to 38% in La junta.
- In Jefferson, the Asian population stands at 3%, greater than 1% in La junta.
- The Hispanic community is larger in La junta at 46% compared to 5% in Jefferson.
- More residents identify as two or more races in La junta at 11% compared to 4% in Jefferson.
- A greater percentage of American Indian residents live in La junta at 3% compared to 0% in Jefferson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | La junta | Jefferson |
|---|---|---|
| Mental Health Not Good | 17.3% | 14.8% |
| Physical Health Not Good | 13.3% | 7.8% |
| Depression | 22.5% | 20.4% |
| Smoking | 17.9% | 12.6% |
| Binge Drinking | 17.2% | 17.8% |
| Obesity | 32.5% | 32.1% |
| Disability Percentage | 19.0% | 11.0% |
Health Statistics Comparison: La junta vs Jefferson
- More residents in La junta report poor mental health at 17.3% compared to 14.8% in Jefferson.
- Depression is more prevalent in La junta at 22.5% compared to 20.4% in Jefferson.
- Smoking is more prevalent in La junta at 17.9% compared to 12.6% in Jefferson.
- More residents engage in binge drinking in Jefferson at 17.8% compared to 17.2% in La junta.
- Obesity rates are higher in La junta at 32.5% compared to 32.1% in Jefferson.
- Disability percentages are higher in La junta at 19.0% compared to 11.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | La junta | Jefferson |
|---|---|---|
| No Schooling | 0.3% (21) | 0.4% (10) |
| High School Diploma | 18.6% (1,328) | 18.8% (516) |
| Less than High School | 21.9% (1,569) | 2.3% (62) |
| Bachelor's Degree and Higher | 13.2% (944) | 27.4% (751) |
Education Levels Comparison: La junta vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 0.4% compared to 0.3% in La junta.
- In Jefferson, the rate of residents with high school diplomas is higher at 18.8% compared to 18.6% in La junta.
- More residents in La junta have less than a high school education at 21.9% compared to 2.3% in Jefferson.
- In Jefferson, a larger share of residents have a bachelor's degree or higher at 27.4% compared to 13.2% in La junta.
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.