Demographics details for Jefferson, SD vs Red river, NM
Population Overview
Compare main population characteristics in Jefferson, SD vs Red river, NM.
| Data | Jefferson | Red river |
|---|---|---|
| Population | 457 | 539 |
| Median Age | 37.1 years | 43.3 years |
| Median Income | $77,601 | $49,479 |
| Married Families | 59.0% | 27.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 2.3 | 4.2 |
Population Comparison: Jefferson vs Red river
- The population in Red river is higher at 539, compared to 457 in Jefferson.
- The median age in Red river is higher at 43.3 years, compared to 37.1 years in Jefferson.
- Jefferson has a higher median income of $77,601 compared to $49,479 in Red river.
- A higher percentage of married families is found in Jefferson at 59.0% compared to 27.0% in Red river.
- The poverty level is higher in Red river at 12%, compared to 5% in Jefferson.
- Red river has a higher unemployment rate at 4.2% compared to 2.3% in Jefferson.
Demographics
Demographics Jefferson vs Red river provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Red river |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 85 | 89 |
| Asian | Data is updating | Data is updating |
| Hispanic | 6 | 9 |
| Two or More Races | 4 | 2 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Jefferson vs Red river
- The percentage of Black residents is the same in both Jefferson and Red river at 0%.
- The percentage of White residents is higher in Red river at 89% compared to 85% in Jefferson.
- Both Jefferson and Red river have the same percentage of Asian residents at 0%.
- Red river has a higher percentage of Hispanic residents at 9%, compared to 6% in Jefferson.
- More residents identify as two or more races in Jefferson at 4% compared to 2% in Red river.
- A greater percentage of American Indian residents live in Jefferson at 5% compared to 0% in Red river.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Red river |
|---|---|---|
| Mental Health Not Good | 12.5% | 16.2% |
| Physical Health Not Good | 8.2% | 10.4% |
| Depression | 16.7% | 22.0% |
| Smoking | 14.5% | 15.8% |
| Binge Drinking | 20.4% | 17.1% |
| Obesity | 38.6% | 27.1% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Jefferson vs Red river
- In Red river, a higher percentage report poor mental health at 16.2% compared to 12.5% in Jefferson.
- Higher depression rates are seen in Red river at 22.0% versus 16.7% in Jefferson.
- Red river has a higher smoking rate at 15.8% compared to 14.5% in Jefferson.
- Binge drinking is more common in Jefferson at 20.4% compared to 17.1% in Red river.
- Obesity rates are higher in Jefferson at 38.6% compared to 27.1% in Red river.
- There is a higher percentage of disabled individuals in Red river at 17.0% compared to 14.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Red river |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 22.3% (102) | 5.9% (32) |
| Less than High School | 7.9% (36) | 6.7% (36) |
| Bachelor's Degree and Higher | 23.0% (105) | 26.2% (141) |
Education Levels Comparison: Jefferson vs Red river
- The percentage of residents with no formal schooling is the same in both Jefferson and Red river at 0.0%.
- A higher percentage of residents in Jefferson hold a high school diploma at 22.3% compared to 5.9% in Red river.
- More residents in Jefferson have less than a high school education at 7.9% compared to 6.7% in Red river.
- In Red river, a larger share of residents have a bachelor's degree or higher at 26.2% compared to 23.0% 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.