Demographics details for Burneyville, OK vs Jefferson, OR
Population Overview
Compare main population characteristics in Burneyville, OK vs Jefferson, OR.
Data | Burneyville | Jefferson |
---|---|---|
Population | 860 | 3,304 |
Median Age | 45.3 years | 31.7 years |
Median Income | $68,015 | $87,604 |
Married Families | 33.0% | 39.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Burneyville vs Jefferson
- The population in Jefferson is higher at 3,304, compared to 860 in Burneyville.
- Residents in Burneyville have a higher median age of 45.3 years compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604, compared to $68,015 in Burneyville.
- In Jefferson, the percentage of married families is higher at 39.0%, compared to 33.0% in Burneyville.
- The poverty level is identical in both Burneyville and Jefferson at 10%.
- Jefferson has a higher unemployment rate at 3.5% compared to 3.0% in Burneyville.
Demographics
Demographics Burneyville vs Jefferson provide insight into the diversity of the communities to compare.
Demographic | Burneyville | Jefferson |
---|---|---|
Black | 5 | 2 |
White | 65 | 67 |
Asian | Data is updating | Data is updating |
Hispanic | 12 | 20 |
Two or More Races | 15 | 10 |
American Indian | 3 | 1 |
Demographics Comparison: Burneyville vs Jefferson
- A higher percentage of Black residents are in Burneyville at 5% compared to 2% in Jefferson.
- The percentage of White residents is higher in Jefferson at 67% compared to 65% in Burneyville.
- Both Burneyville and Jefferson have the same percentage of Asian residents at 0%.
- Jefferson has a higher percentage of Hispanic residents at 20%, compared to 12% in Burneyville.
- More residents identify as two or more races in Burneyville at 15% compared to 10% in Jefferson.
- A greater percentage of American Indian residents live in Burneyville at 3% compared to 1% in Jefferson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Burneyville | Jefferson |
---|---|---|
Mental Health Not Good | 19.0% | 18.4% |
Physical Health Not Good | 12.9% | 12.0% |
Depression | 26.3% | 28.9% |
Smoking | 21.1% | 16.5% |
Binge Drinking | 15.0% | 16.4% |
Obesity | 39.6% | 36.5% |
Disability Percentage | 26.0% | 13.0% |
Health Statistics Comparison: Burneyville vs Jefferson
- More residents in Burneyville report poor mental health at 19.0% compared to 18.4% in Jefferson.
- Higher depression rates are seen in Jefferson at 28.9% versus 26.3% in Burneyville.
- Smoking is more prevalent in Burneyville at 21.1% compared to 16.5% in Jefferson.
- More residents engage in binge drinking in Jefferson at 16.4% compared to 15.0% in Burneyville.
- Obesity rates are higher in Burneyville at 39.6% compared to 36.5% in Jefferson.
- Disability percentages are higher in Burneyville at 26.0% 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 | Burneyville | Jefferson |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.4% (78) |
High School Diploma | 22.8% (196) | 13.0% (430) |
Less than High School | 7.4% (64) | 13.9% (458) |
Bachelor's Degree and Higher | 12.4% (107) | 11.0% (363) |
Education Levels Comparison: Burneyville vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Burneyville.
- A higher percentage of residents in Burneyville hold a high school diploma at 22.8% compared to 13.0% in Jefferson.
- The percentage of residents with less than a high school education is higher in Jefferson at 13.9%, compared to 7.4% in Burneyville.
- A higher percentage of residents in Burneyville hold a bachelor's degree or higher at 12.4% 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.