Demographics details for Clayton, OK vs Jefferson, MD
Population Overview
Compare main population characteristics in Clayton, OK vs Jefferson, MD.
Data | Clayton | Jefferson |
---|---|---|
Population | 555 | 2,742 |
Median Age | 32.7 years | 41.4 years |
Median Income | $27,083 | $137,667 |
Married Families | 31.0% | 51.0% |
Poverty Level | Data is updating | Data is updating |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Clayton vs Jefferson
- The population in Jefferson is higher at 2,742, compared to 555 in Clayton.
- The median age in Jefferson is higher at 41.4 years, compared to 32.7 years in Clayton.
- Jefferson has a higher median income of $137,667, compared to $27,083 in Clayton.
- In Jefferson, the percentage of married families is higher at 51.0%, compared to 31.0% in Clayton.
- The poverty level is identical in both Clayton and Jefferson at 0%.
- The unemployment rate in Clayton is higher at 3.5%, compared to 3.2% in Jefferson.
Demographics
Demographics Clayton vs Jefferson provide insight into the diversity of the communities to compare.
Demographic | Clayton | Jefferson |
---|---|---|
Black | 2 | 6 |
White | 51 | 82 |
Asian | Data is updating | 3 |
Hispanic | 4 | 5 |
Two or More Races | 23 | 4 |
American Indian | 20 | Data is updating |
Demographics Comparison: Clayton vs Jefferson
- In Jefferson, the percentage of Black residents is higher at 6% compared to 2% in Clayton.
- The percentage of White residents is higher in Jefferson at 82% compared to 51% in Clayton.
- In Jefferson, the Asian population stands at 3%, greater than 0% in Clayton.
- Jefferson has a higher percentage of Hispanic residents at 5%, compared to 4% in Clayton.
- More residents identify as two or more races in Clayton at 23% compared to 4% in Jefferson.
- A greater percentage of American Indian residents live in Clayton at 20% compared to 0% in Jefferson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Clayton | Jefferson |
---|---|---|
Mental Health Not Good | 21.5% | 14.8% |
Physical Health Not Good | 15.6% | 7.8% |
Depression | 28.8% | 20.4% |
Smoking | 26.6% | 12.6% |
Binge Drinking | 14.4% | 17.8% |
Obesity | 40.2% | 32.1% |
Disability Percentage | 37.0% | 11.0% |
Health Statistics Comparison: Clayton vs Jefferson
- More residents in Clayton report poor mental health at 21.5% compared to 14.8% in Jefferson.
- Depression is more prevalent in Clayton at 28.8% compared to 20.4% in Jefferson.
- Smoking is more prevalent in Clayton at 26.6% compared to 12.6% in Jefferson.
- More residents engage in binge drinking in Jefferson at 17.8% compared to 14.4% in Clayton.
- Obesity rates are higher in Clayton at 40.2% compared to 32.1% in Jefferson.
- Disability percentages are higher in Clayton at 37.0% compared to 11.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Clayton | Jefferson |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (10) |
High School Diploma | 37.5% (208) | 18.8% (516) |
Less than High School | 19.5% (108) | 2.3% (62) |
Bachelor's Degree and Higher | 6.7% (37) | 27.4% (751) |
Education Levels Comparison: Clayton vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Clayton.
- A higher percentage of residents in Clayton hold a high school diploma at 37.5% compared to 18.8% in Jefferson.
- More residents in Clayton have less than a high school education at 19.5% 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 6.7% in Clayton.
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.