Demographics details for Jefferson city, MO vs Smyrna, DE
Population Overview
Compare main population characteristics in Jefferson city, MO vs Smyrna, DE.
Data | Jefferson city | Smyrna |
---|---|---|
Population | 42,528 | 13,294 |
Median Age | 38.5 years | 34.2 years |
Median Income | $63,649 | $68,260 |
Married Families | 37.0% | 34.0% |
Poverty Level | 11% | 8% |
Unemployment Rate | 3.9 | 4.0 |
Population Comparison: Jefferson city vs Smyrna
- In Jefferson city, the population is higher at 42,528, compared to 13,294 in Smyrna.
- Residents in Jefferson city have a higher median age of 38.5 years compared to 34.2 years in Smyrna.
- Smyrna has a higher median income of $68,260, compared to $63,649 in Jefferson city.
- A higher percentage of married families is found in Jefferson city at 37.0% compared to 34.0% in Smyrna.
- Jefferson city has a higher poverty level at 11% compared to 8% in Smyrna.
- Smyrna has a higher unemployment rate at 4.0% compared to 3.9% in Jefferson city.
Demographics
Demographics Jefferson city vs Smyrna provide insight into the diversity of the communities to compare.
Demographic | Jefferson city | Smyrna |
---|---|---|
Black | 18 | 34 |
White | 72 | 47 |
Asian | 3 | 3 |
Hispanic | 3 | 7 |
Two or More Races | 4 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Jefferson city vs Smyrna
- In Smyrna, the percentage of Black residents is higher at 34% compared to 18% in Jefferson city.
- Jefferson city has a higher percentage of White residents at 72% compared to 47% in Smyrna.
- Both Jefferson city and Smyrna have the same percentage of Asian residents at 3%.
- Smyrna has a higher percentage of Hispanic residents at 7%, compared to 3% in Jefferson city.
- The percentage of residents identifying as two or more races is higher in Smyrna at 9%, compared to 4% in Jefferson city.
- The percentage of American Indian residents is the same in both Jefferson city and Smyrna at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Jefferson city | Smyrna |
---|---|---|
Mental Health Not Good | 17.1% | 16.1% |
Physical Health Not Good | 11.6% | 10.7% |
Depression | 22.6% | 18.9% |
Smoking | 18.6% | 16.8% |
Binge Drinking | 16.9% | 13.8% |
Obesity | 37.4% | 40.1% |
Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Jefferson city vs Smyrna
- More residents in Jefferson city report poor mental health at 17.1% compared to 16.1% in Smyrna.
- Depression is more prevalent in Jefferson city at 22.6% compared to 18.9% in Smyrna.
- Smoking is more prevalent in Jefferson city at 18.6% compared to 16.8% in Smyrna.
- Binge drinking is more common in Jefferson city at 16.9% compared to 13.8% in Smyrna.
- Smyrna has higher obesity rates at 40.1% compared to 37.4% in Jefferson city.
- Disability percentages are higher in Jefferson city at 11.0% compared to 10.0% in Smyrna.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Jefferson city | Smyrna |
---|---|---|
No Schooling | 0.5% (233) | 0.6% (80) |
High School Diploma | 15.9% (6,767) | 21.7% (2,889) |
Less than High School | 11.0% (4,659) | 8.2% (1,088) |
Bachelor's Degree and Higher | 24.8% (10,543) | 14.0% (1,867) |
Education Levels Comparison: Jefferson city vs Smyrna
- In Smyrna, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Jefferson city.
- In Smyrna, the rate of residents with high school diplomas is higher at 21.7% compared to 15.9% in Jefferson city.
- More residents in Jefferson city have less than a high school education at 11.0% compared to 8.2% in Smyrna.
- A higher percentage of residents in Jefferson city hold a bachelor's degree or higher at 24.8% compared to 14.0% in Smyrna.
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.