Demographics details for Mason, OH vs Jefferson city, MO
Population Overview
Compare main population characteristics in Mason, OH vs Jefferson city, MO.
| Data | Mason | Jefferson city |
|---|---|---|
| Population | 35,520 | 42,528 |
| Median Age | 41.7 years | 38.5 years |
| Median Income | $121,082 | $63,649 |
| Married Families | 47.0% | 37.0% |
| Poverty Level | 4% | 11% |
| Unemployment Rate | 4.8 | 3.9 |
Population Comparison: Mason vs Jefferson city
- The population in Jefferson city is higher at 42,528, compared to 35,520 in Mason.
- Residents in Mason have a higher median age of 41.7 years compared to 38.5 years in Jefferson city.
- Mason has a higher median income of $121,082 compared to $63,649 in Jefferson city.
- A higher percentage of married families is found in Mason at 47.0% compared to 37.0% in Jefferson city.
- The poverty level is higher in Jefferson city at 11%, compared to 4% in Mason.
- The unemployment rate in Mason is higher at 4.8%, compared to 3.9% in Jefferson city.
Demographics
Demographics Mason vs Jefferson city provide insight into the diversity of the communities to compare.
| Demographic | Mason | Jefferson city |
|---|---|---|
| Black | 5 | 18 |
| White | 74 | 72 |
| Asian | 14 | 3 |
| Hispanic | 3 | 3 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mason vs Jefferson city
- In Jefferson city, the percentage of Black residents is higher at 18% compared to 5% in Mason.
- Mason has a higher percentage of White residents at 74% compared to 72% in Jefferson city.
- The Asian population is larger in Mason at 14% compared to 3% in Jefferson city.
- The percentage of Hispanic residents is the same in both Mason and Jefferson city at 3%.
- Both Mason and Jefferson city have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Mason and Jefferson city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mason | Jefferson city |
|---|---|---|
| Mental Health Not Good | 13.5% | 17.1% |
| Physical Health Not Good | 8.0% | 11.6% |
| Depression | 19.8% | 22.6% |
| Smoking | 11.8% | 18.6% |
| Binge Drinking | 19.1% | 16.9% |
| Obesity | 33.5% | 37.4% |
| Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Mason vs Jefferson city
- In Jefferson city, a higher percentage report poor mental health at 17.1% compared to 13.5% in Mason.
- Higher depression rates are seen in Jefferson city at 22.6% versus 19.8% in Mason.
- Jefferson city has a higher smoking rate at 18.6% compared to 11.8% in Mason.
- Binge drinking is more common in Mason at 19.1% compared to 16.9% in Jefferson city.
- Jefferson city has higher obesity rates at 37.4% compared to 33.5% in Mason.
- There is a higher percentage of disabled individuals in Jefferson city at 11.0% compared to 8.0% in Mason.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mason | Jefferson city |
|---|---|---|
| No Schooling | 0.5% (183) | 0.5% (233) |
| High School Diploma | 8.9% (3,151) | 15.9% (6,767) |
| Less than High School | 3.0% (1,071) | 11.0% (4,659) |
| Bachelor's Degree and Higher | 40.7% (14,469) | 24.8% (10,543) |
Education Levels Comparison: Mason vs Jefferson city
- The percentage of residents with no formal schooling is the same in both Mason and Jefferson city at 0.5%.
- In Jefferson city, the rate of residents with high school diplomas is higher at 15.9% compared to 8.9% in Mason.
- The percentage of residents with less than a high school education is higher in Jefferson city at 11.0%, compared to 3.0% in Mason.
- A higher percentage of residents in Mason hold a bachelor's degree or higher at 40.7% compared to 24.8% in Jefferson city.
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.