Demographics details for Jefferson, OR vs Glasgow, MT
Population Overview
Compare main population characteristics in Jefferson, OR vs Glasgow, MT.
| Data | Jefferson | Glasgow |
|---|---|---|
| Population | 3,304 | 3,192 |
| Median Age | 31.7 years | 40.6 years |
| Median Income | $87,604 | $65,850 |
| Married Families | 39.0% | 39.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.5 | 3.1 |
Population Comparison: Jefferson vs Glasgow
- In Jefferson, the population is higher at 3,304, compared to 3,192 in Glasgow.
- The median age in Glasgow is higher at 40.6 years, compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604 compared to $65,850 in Glasgow.
- The percentage of married families is the same in both Jefferson and Glasgow at 39.0%.
- The poverty level is identical in both Jefferson and Glasgow at 10%.
- The unemployment rate in Jefferson is higher at 3.5%, compared to 3.1% in Glasgow.
Demographics
Demographics Jefferson vs Glasgow provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Glasgow |
|---|---|---|
| Black | 2 | 1 |
| White | 67 | 89 |
| Asian | Data is updating | Data is updating |
| Hispanic | 20 | 3 |
| Two or More Races | 10 | 4 |
| American Indian | 1 | 3 |
Demographics Comparison: Jefferson vs Glasgow
- A higher percentage of Black residents are in Jefferson at 2% compared to 1% in Glasgow.
- The percentage of White residents is higher in Glasgow at 89% compared to 67% in Jefferson.
- Both Jefferson and Glasgow have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Jefferson at 20% compared to 3% in Glasgow.
- More residents identify as two or more races in Jefferson at 10% compared to 4% in Glasgow.
- In Glasgow, the percentage of American Indian residents is higher at 3%, compared to 1% in Jefferson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Glasgow |
|---|---|---|
| Mental Health Not Good | 18.4% | 16.9% |
| Physical Health Not Good | 12.0% | 11.3% |
| Depression | 28.9% | 24.2% |
| Smoking | 16.5% | 17.7% |
| Binge Drinking | 16.4% | 22.4% |
| Obesity | 36.5% | 36.3% |
| Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Jefferson vs Glasgow
- More residents in Jefferson report poor mental health at 18.4% compared to 16.9% in Glasgow.
- Depression is more prevalent in Jefferson at 28.9% compared to 24.2% in Glasgow.
- Glasgow has a higher smoking rate at 17.7% compared to 16.5% in Jefferson.
- More residents engage in binge drinking in Glasgow at 22.4% compared to 16.4% in Jefferson.
- Obesity rates are higher in Jefferson at 36.5% compared to 36.3% in Glasgow.
- There is a higher percentage of disabled individuals in Glasgow at 14.0% compared to 13.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Glasgow |
|---|---|---|
| No Schooling | 2.4% (78) | 0.3% (9) |
| High School Diploma | 13.0% (430) | 18.2% (581) |
| Less than High School | 13.9% (458) | 7.1% (228) |
| Bachelor's Degree and Higher | 11.0% (363) | 13.6% (434) |
Education Levels Comparison: Jefferson vs Glasgow
- A higher percentage of residents in Jefferson have no formal schooling at 2.4% compared to 0.3% in Glasgow.
- In Glasgow, the rate of residents with high school diplomas is higher at 18.2% compared to 13.0% in Jefferson.
- More residents in Jefferson have less than a high school education at 13.9% compared to 7.1% in Glasgow.
- In Glasgow, a larger share of residents have a bachelor's degree or higher at 13.6% 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.