Demographics details for Jefferson, SC vs Dalhart, TX
Population Overview
Compare main population characteristics in Jefferson, SC vs Dalhart, TX.
| Data | Jefferson | Dalhart |
|---|---|---|
| Population | 776 | 8,402 |
| Median Age | 32.6 years | 34.7 years |
| Median Income | $35,208 | $75,000 |
| Married Families | 39.0% | 46.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Jefferson vs Dalhart
- The population in Dalhart is higher at 8,402, compared to 776 in Jefferson.
- The median age in Dalhart is higher at 34.7 years, compared to 32.6 years in Jefferson.
- Dalhart has a higher median income of $75,000, compared to $35,208 in Jefferson.
- In Dalhart, the percentage of married families is higher at 46.0%, compared to 39.0% in Jefferson.
- Jefferson has a higher poverty level at 15% compared to 12% in Dalhart.
- The unemployment rate in Jefferson is higher at 5.0%, compared to 3.5% in Dalhart.
Demographics
Demographics Jefferson vs Dalhart provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Dalhart |
|---|---|---|
| Black | 35 | Data is updating |
| White | 61 | 37 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 46 |
| Two or More Races | 3 | 15 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Jefferson vs Dalhart
- A higher percentage of Black residents are in Jefferson at 35% compared to 0% in Dalhart.
- Jefferson has a higher percentage of White residents at 61% compared to 37% in Dalhart.
- Both Jefferson and Dalhart have the same percentage of Asian residents at 0%.
- Dalhart has a higher percentage of Hispanic residents at 46%, compared to 1% in Jefferson.
- The percentage of residents identifying as two or more races is higher in Dalhart at 15%, compared to 3% in Jefferson.
- In Dalhart, the percentage of American Indian residents is higher at 2%, compared to 0% in Jefferson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Dalhart |
|---|---|---|
| Mental Health Not Good | 20.9% | 17.5% |
| Physical Health Not Good | 15.3% | 12.2% |
| Depression | 22.3% | 23.5% |
| Smoking | 25.5% | 17.8% |
| Binge Drinking | 15.4% | 18.9% |
| Obesity | 39.7% | 36.1% |
| Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: Jefferson vs Dalhart
- More residents in Jefferson report poor mental health at 20.9% compared to 17.5% in Dalhart.
- Higher depression rates are seen in Dalhart at 23.5% versus 22.3% in Jefferson.
- Smoking is more prevalent in Jefferson at 25.5% compared to 17.8% in Dalhart.
- More residents engage in binge drinking in Dalhart at 18.9% compared to 15.4% in Jefferson.
- Obesity rates are higher in Jefferson at 39.7% compared to 36.1% in Dalhart.
- Disability percentages are higher in Jefferson at 15.0% compared to 11.0% in Dalhart.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Dalhart |
|---|---|---|
| No Schooling | 1.9% (15) | 4.1% (348) |
| High School Diploma | 21.0% (163) | 20.8% (1,750) |
| Less than High School | 23.1% (179) | 19.2% (1,609) |
| Bachelor's Degree and Higher | 5.8% (45) | 13.0% (1,095) |
Education Levels Comparison: Jefferson vs Dalhart
- In Dalhart, a larger percentage of residents lack formal schooling at 4.1% compared to 1.9% in Jefferson.
- A higher percentage of residents in Jefferson hold a high school diploma at 21.0% compared to 20.8% in Dalhart.
- More residents in Jefferson have less than a high school education at 23.1% compared to 19.2% in Dalhart.
- In Dalhart, a larger share of residents have a bachelor's degree or higher at 13.0% compared to 5.8% 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.