Demographics details for Thornton, CO vs Jefferson, MD
Population Overview
Compare main population characteristics in Thornton, CO vs Jefferson, MD.
| Data | Thornton | Jefferson |
|---|---|---|
| Population | 143,282 | 2,742 |
| Median Age | 33.7 years | 41.4 years |
| Median Income | $95,064 | $137,667 |
| Married Families | 40.0% | 51.0% |
| Poverty Level | 9% | Data is updating |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Thornton vs Jefferson
- In Thornton, the population is higher at 143,282, compared to 2,742 in Jefferson.
- The median age in Jefferson is higher at 41.4 years, compared to 33.7 years in Thornton.
- Jefferson has a higher median income of $137,667, compared to $95,064 in Thornton.
- In Jefferson, the percentage of married families is higher at 51.0%, compared to 40.0% in Thornton.
- Thornton has a higher poverty level at 9% compared to 0% in Jefferson.
- The unemployment rate in Thornton is higher at 4.2%, compared to 3.2% in Jefferson.
Demographics
Demographics Thornton vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Thornton | Jefferson |
|---|---|---|
| Black | 2 | 6 |
| White | 39 | 82 |
| Asian | 6 | 3 |
| Hispanic | 37 | 5 |
| Two or More Races | 15 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Thornton vs Jefferson
- In Jefferson, the percentage of Black residents is higher at 6% compared to 2% in Thornton.
- The percentage of White residents is higher in Jefferson at 82% compared to 39% in Thornton.
- The Asian population is larger in Thornton at 6% compared to 3% in Jefferson.
- The Hispanic community is larger in Thornton at 37% compared to 5% in Jefferson.
- More residents identify as two or more races in Thornton at 15% compared to 4% in Jefferson.
- A greater percentage of American Indian residents live in Thornton at 1% compared to 0% in Jefferson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Thornton | Jefferson |
|---|---|---|
| Mental Health Not Good | 15.1% | 14.8% |
| Physical Health Not Good | 10.9% | 7.8% |
| Depression | 22.0% | 20.4% |
| Smoking | 15.1% | 12.6% |
| Binge Drinking | 21.0% | 17.8% |
| Obesity | 30.1% | 32.1% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Thornton vs Jefferson
- More residents in Thornton report poor mental health at 15.1% compared to 14.8% in Jefferson.
- Depression is more prevalent in Thornton at 22.0% compared to 20.4% in Jefferson.
- Smoking is more prevalent in Thornton at 15.1% compared to 12.6% in Jefferson.
- Binge drinking is more common in Thornton at 21.0% compared to 17.8% in Jefferson.
- Jefferson has higher obesity rates at 32.1% compared to 30.1% in Thornton.
- There is a higher percentage of disabled individuals in Jefferson at 11.0% compared to 10.0% in Thornton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Thornton | Jefferson |
|---|---|---|
| No Schooling | 1.7% (2,448) | 0.4% (10) |
| High School Diploma | 13.2% (18,983) | 18.8% (516) |
| Less than High School | 14.7% (20,999) | 2.3% (62) |
| Bachelor's Degree and Higher | 19.3% (27,712) | 27.4% (751) |
Education Levels Comparison: Thornton vs Jefferson
- A higher percentage of residents in Thornton have no formal schooling at 1.7% compared to 0.4% in Jefferson.
- In Jefferson, the rate of residents with high school diplomas is higher at 18.8% compared to 13.2% in Thornton.
- More residents in Thornton have less than a high school education at 14.7% 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 19.3% in Thornton.
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.