Demographics details for Clarendon, TX vs Jefferson, WI
Population Overview
Compare main population characteristics in Clarendon, TX vs Jefferson, WI.
| Data | Clarendon | Jefferson |
|---|---|---|
| Population | 1,948 | 7,649 |
| Median Age | 33.7 years | 44.8 years |
| Median Income | $47,457 | $69,844 |
| Married Families | 25.0% | 37.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Clarendon vs Jefferson
- The population in Jefferson is higher at 7,649, compared to 1,948 in Clarendon.
- The median age in Jefferson is higher at 44.8 years, compared to 33.7 years in Clarendon.
- Jefferson has a higher median income of $69,844, compared to $47,457 in Clarendon.
- In Jefferson, the percentage of married families is higher at 37.0%, compared to 25.0% in Clarendon.
- Clarendon has a higher poverty level at 10% compared to 5% in Jefferson.
- The unemployment rate is the same in both Clarendon and Jefferson at 3.5%.
Demographics
Demographics Clarendon vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Clarendon | Jefferson |
|---|---|---|
| Black | 11 | 2 |
| White | 76 | 79 |
| Asian | 4 | Data is updating |
| Hispanic | 6 | 15 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Clarendon vs Jefferson
- A higher percentage of Black residents are in Clarendon at 11% compared to 2% in Jefferson.
- The percentage of White residents is higher in Jefferson at 79% compared to 76% in Clarendon.
- The Asian population is larger in Clarendon at 4% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 15%, compared to 6% in Clarendon.
- The percentage of residents identifying as two or more races is higher in Jefferson at 4%, compared to 3% in Clarendon.
- The percentage of American Indian residents is the same in both Clarendon and Jefferson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clarendon | Jefferson |
|---|---|---|
| Mental Health Not Good | 19.2% | 14.7% |
| Physical Health Not Good | 13.0% | 9.8% |
| Depression | 25.8% | 22.9% |
| Smoking | 20.1% | 15.3% |
| Binge Drinking | 18.3% | 24.2% |
| Obesity | 38.4% | 33.7% |
| Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Clarendon vs Jefferson
- More residents in Clarendon report poor mental health at 19.2% compared to 14.7% in Jefferson.
- Depression is more prevalent in Clarendon at 25.8% compared to 22.9% in Jefferson.
- Smoking is more prevalent in Clarendon at 20.1% compared to 15.3% in Jefferson.
- More residents engage in binge drinking in Jefferson at 24.2% compared to 18.3% in Clarendon.
- Obesity rates are higher in Clarendon at 38.4% compared to 33.7% in Jefferson.
- There is a higher percentage of disabled individuals in Jefferson at 13.0% compared to 8.0% in Clarendon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clarendon | Jefferson |
|---|---|---|
| No Schooling | 0.7% (14) | 2.8% (215) |
| High School Diploma | 11.4% (222) | 24.4% (1,865) |
| Less than High School | 17.6% (342) | 13.3% (1,019) |
| Bachelor's Degree and Higher | 7.3% (142) | 16.4% (1,254) |
Education Levels Comparison: Clarendon vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.8% compared to 0.7% in Clarendon.
- In Jefferson, the rate of residents with high school diplomas is higher at 24.4% compared to 11.4% in Clarendon.
- More residents in Clarendon have less than a high school education at 17.6% compared to 13.3% in Jefferson.
- In Jefferson, a larger share of residents have a bachelor's degree or higher at 16.4% compared to 7.3% in Clarendon.
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.