Demographics details for Easton, PA vs Jefferson city, MO
Population Overview
Compare main population characteristics in Easton, PA vs Jefferson city, MO.
| Data | Easton | Jefferson city |
|---|---|---|
| Population | 30,341 | 42,528 |
| Median Age | 35.5 years | 38.5 years |
| Median Income | $62,642 | $63,649 |
| Married Families | 27.0% | 37.0% |
| Poverty Level | 15% | 11% |
| Unemployment Rate | 4.4 | 3.9 |
Population Comparison: Easton vs Jefferson city
- The population in Jefferson city is higher at 42,528, compared to 30,341 in Easton.
- The median age in Jefferson city is higher at 38.5 years, compared to 35.5 years in Easton.
- Jefferson city has a higher median income of $63,649, compared to $62,642 in Easton.
- In Jefferson city, the percentage of married families is higher at 37.0%, compared to 27.0% in Easton.
- Easton has a higher poverty level at 15% compared to 11% in Jefferson city.
- The unemployment rate in Easton is higher at 4.4%, compared to 3.9% in Jefferson city.
Demographics
Demographics Easton vs Jefferson city provide insight into the diversity of the communities to compare.
| Demographic | Easton | Jefferson city |
|---|---|---|
| Black | 15 | 18 |
| White | 51 | 72 |
| Asian | 1 | 3 |
| Hispanic | 22 | 3 |
| Two or More Races | 11 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Easton vs Jefferson city
- In Jefferson city, the percentage of Black residents is higher at 18% compared to 15% in Easton.
- The percentage of White residents is higher in Jefferson city at 72% compared to 51% in Easton.
- In Jefferson city, the Asian population stands at 3%, greater than 1% in Easton.
- The Hispanic community is larger in Easton at 22% compared to 3% in Jefferson city.
- More residents identify as two or more races in Easton at 11% compared to 4% in Jefferson city.
- The percentage of American Indian residents is the same in both Easton and Jefferson city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Easton | Jefferson city |
|---|---|---|
| Mental Health Not Good | 17.5% | 17.1% |
| Physical Health Not Good | 13.2% | 11.6% |
| Depression | 21.7% | 22.6% |
| Smoking | 20.9% | 18.6% |
| Binge Drinking | 17.7% | 16.9% |
| Obesity | 36.0% | 37.4% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Easton vs Jefferson city
- More residents in Easton report poor mental health at 17.5% compared to 17.1% in Jefferson city.
- Higher depression rates are seen in Jefferson city at 22.6% versus 21.7% in Easton.
- Smoking is more prevalent in Easton at 20.9% compared to 18.6% in Jefferson city.
- Binge drinking is more common in Easton at 17.7% compared to 16.9% in Jefferson city.
- Jefferson city has higher obesity rates at 37.4% compared to 36.0% in Easton.
- Disability percentages are higher in Easton at 12.0% compared to 11.0% in Jefferson city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Easton | Jefferson city |
|---|---|---|
| No Schooling | 0.6% (189) | 0.5% (233) |
| High School Diploma | 19.6% (5,936) | 15.9% (6,767) |
| Less than High School | 16.2% (4,901) | 11.0% (4,659) |
| Bachelor's Degree and Higher | 15.9% (4,813) | 24.8% (10,543) |
Education Levels Comparison: Easton vs Jefferson city
- A higher percentage of residents in Easton have no formal schooling at 0.6% compared to 0.5% in Jefferson city.
- A higher percentage of residents in Easton hold a high school diploma at 19.6% compared to 15.9% in Jefferson city.
- More residents in Easton have less than a high school education at 16.2% compared to 11.0% in Jefferson city.
- In Jefferson city, a larger share of residents have a bachelor's degree or higher at 24.8% compared to 15.9% in Easton.
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.