Demographics details for Jefferson, WI vs Omaha, AR
Population Overview
Compare main population characteristics in Jefferson, WI vs Omaha, AR.
Data | Jefferson | Omaha |
---|---|---|
Population | 7,649 | 132 |
Median Age | 44.8 years | 32.6 years |
Median Income | $69,844 | $30,938 |
Married Families | 37.0% | 35.0% |
Poverty Level | 5% | 15% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Jefferson vs Omaha
- In Jefferson, the population is higher at 7,649, compared to 132 in Omaha.
- Residents in Jefferson have a higher median age of 44.8 years compared to 32.6 years in Omaha.
- Jefferson has a higher median income of $69,844 compared to $30,938 in Omaha.
- A higher percentage of married families is found in Jefferson at 37.0% compared to 35.0% in Omaha.
- The poverty level is higher in Omaha at 15%, compared to 5% in Jefferson.
- Omaha has a higher unemployment rate at 4.2% compared to 3.5% in Jefferson.
Demographics
Demographics Jefferson vs Omaha provide insight into the diversity of the communities to compare.
Demographic | Jefferson | Omaha |
---|---|---|
Black | 2 | 1 |
White | 79 | 73 |
Asian | Data is updating | Data is updating |
Hispanic | 15 | 7 |
Two or More Races | 4 | 17 |
American Indian | Data is updating | 3 |
Demographics Comparison: Jefferson vs Omaha
- A higher percentage of Black residents are in Jefferson at 2% compared to 1% in Omaha.
- Jefferson has a higher percentage of White residents at 79% compared to 73% in Omaha.
- Both Jefferson and Omaha have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Jefferson at 15% compared to 7% in Omaha.
- The percentage of residents identifying as two or more races is higher in Omaha at 17%, compared to 4% in Jefferson.
- In Omaha, the percentage of American Indian residents is higher at 3%, compared to 0% in Jefferson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Jefferson | Omaha |
---|---|---|
Mental Health Not Good | 14.7% | 18.3% |
Physical Health Not Good | 9.8% | 12.9% |
Depression | 22.9% | 27.0% |
Smoking | 15.3% | 20.6% |
Binge Drinking | 24.2% | 16.3% |
Obesity | 33.7% | 38.2% |
Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Jefferson vs Omaha
- In Omaha, a higher percentage report poor mental health at 18.3% compared to 14.7% in Jefferson.
- Higher depression rates are seen in Omaha at 27.0% versus 22.9% in Jefferson.
- Omaha has a higher smoking rate at 20.6% compared to 15.3% in Jefferson.
- Binge drinking is more common in Jefferson at 24.2% compared to 16.3% in Omaha.
- Omaha has higher obesity rates at 38.2% compared to 33.7% in Jefferson.
- There is a higher percentage of disabled individuals in Omaha at 20.0% 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 | Jefferson | Omaha |
---|---|---|
No Schooling | 2.8% (215) | 7.6% (10) |
High School Diploma | 24.4% (1,865) | 16.7% (22) |
Less than High School | 13.3% (1,019) | 17.4% (23) |
Bachelor's Degree and Higher | 16.4% (1,254) | 5.3% (7) |
Education Levels Comparison: Jefferson vs Omaha
- In Omaha, a larger percentage of residents lack formal schooling at 7.6% compared to 2.8% in Jefferson.
- A higher percentage of residents in Jefferson hold a high school diploma at 24.4% compared to 16.7% in Omaha.
- The percentage of residents with less than a high school education is higher in Omaha at 17.4%, compared to 13.3% in Jefferson.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 16.4% compared to 5.3% in Omaha.
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.