Demographics details for West chester, PA vs Jefferson, SD
Population Overview
Compare main population characteristics in West chester, PA vs Jefferson, SD.
Data | West chester | Jefferson |
---|---|---|
Population | 19,531 | 457 |
Median Age | 24.6 years | 37.1 years |
Median Income | $71,875 | $77,601 |
Married Families | 17.0% | 59.0% |
Poverty Level | 8% | 5% |
Unemployment Rate | 4.2 | 2.3 |
Population Comparison: West chester vs Jefferson
- In West chester, the population is higher at 19,531, compared to 457 in Jefferson.
- The median age in Jefferson is higher at 37.1 years, compared to 24.6 years in West chester.
- Jefferson has a higher median income of $77,601, compared to $71,875 in West chester.
- In Jefferson, the percentage of married families is higher at 59.0%, compared to 17.0% in West chester.
- West chester has a higher poverty level at 8% compared to 5% in Jefferson.
- The unemployment rate in West chester is higher at 4.2%, compared to 2.3% in Jefferson.
Demographics
Demographics West chester vs Jefferson provide insight into the diversity of the communities to compare.
Demographic | West chester | Jefferson |
---|---|---|
Black | 14 | Data is updating |
White | 69 | 85 |
Asian | 2 | Data is updating |
Hispanic | 11 | 6 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | 5 |
Demographics Comparison: West chester vs Jefferson
- A higher percentage of Black residents are in West chester at 14% compared to 0% in Jefferson.
- The percentage of White residents is higher in Jefferson at 85% compared to 69% in West chester.
- The Asian population is larger in West chester at 2% compared to 0% in Jefferson.
- The Hispanic community is larger in West chester at 11% compared to 6% in Jefferson.
- Both West chester and Jefferson have the same percentage of residents identifying as two or more races at 4%.
- In Jefferson, the percentage of American Indian residents is higher at 5%, compared to 0% in West chester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | West chester | Jefferson |
---|---|---|
Mental Health Not Good | 15.6% | 12.5% |
Physical Health Not Good | 11.0% | 8.2% |
Depression | 22.0% | 16.7% |
Smoking | 15.0% | 14.5% |
Binge Drinking | 16.9% | 20.4% |
Obesity | 37.3% | 38.6% |
Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: West chester vs Jefferson
- More residents in West chester report poor mental health at 15.6% compared to 12.5% in Jefferson.
- Depression is more prevalent in West chester at 22.0% compared to 16.7% in Jefferson.
- Smoking is more prevalent in West chester at 15.0% compared to 14.5% in Jefferson.
- More residents engage in binge drinking in Jefferson at 20.4% compared to 16.9% in West chester.
- Jefferson has higher obesity rates at 38.6% compared to 37.3% in West chester.
- There is a higher percentage of disabled individuals in Jefferson at 14.0% compared to 9.0% in West chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | West chester | Jefferson |
---|---|---|
No Schooling | 0.1% (23) | 0.0% (Data is updating) |
High School Diploma | 8.7% (1,706) | 22.3% (102) |
Less than High School | 4.6% (904) | 7.9% (36) |
Bachelor's Degree and Higher | 26.1% (5,097) | 23.0% (105) |
Education Levels Comparison: West chester vs Jefferson
- A higher percentage of residents in West chester have no formal schooling at 0.1% compared to 0.0% in Jefferson.
- In Jefferson, the rate of residents with high school diplomas is higher at 22.3% compared to 8.7% in West chester.
- The percentage of residents with less than a high school education is higher in Jefferson at 7.9%, compared to 4.6% in West chester.
- A higher percentage of residents in West chester hold a bachelor's degree or higher at 26.1% compared to 23.0% 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.