Demographics details for Jefferson, SD vs Enon valley, PA
Population Overview
Compare main population characteristics in Jefferson, SD vs Enon valley, PA.
Data | Jefferson | Enon valley |
---|---|---|
Population | 457 | 295 |
Median Age | 37.1 years | 41.7 years |
Median Income | $77,601 | $56,875 |
Married Families | 59.0% | 50.0% |
Poverty Level | 5% | Data is updating |
Unemployment Rate | 2.3 | Data is updating |
Population Comparison: Jefferson vs Enon valley
- In Jefferson, the population is higher at 457, compared to 295 in Enon valley.
- The median age in Enon valley is higher at 41.7 years, compared to 37.1 years in Jefferson.
- Jefferson has a higher median income of $77,601 compared to $56,875 in Enon valley.
- A higher percentage of married families is found in Jefferson at 59.0% compared to 50.0% in Enon valley.
- Jefferson has a higher poverty level at 5% compared to 0% in Enon valley.
- The unemployment rate in Jefferson is higher at 2.3%, compared to 0.0% in Enon valley.
Demographics
Demographics Jefferson vs Enon valley provide insight into the diversity of the communities to compare.
Demographic | Jefferson | Enon valley |
---|---|---|
Black | Data is updating | Data is updating |
White | 85 | 74 |
Asian | Data is updating | 6 |
Hispanic | 6 | Data is updating |
Two or More Races | 4 | 20 |
American Indian | 5 | Data is updating |
Demographics Comparison: Jefferson vs Enon valley
- The percentage of Black residents is the same in both Jefferson and Enon valley at 0%.
- Jefferson has a higher percentage of White residents at 85% compared to 74% in Enon valley.
- In Enon valley, the Asian population stands at 6%, greater than 0% in Jefferson.
- The Hispanic community is larger in Jefferson at 6% compared to 0% in Enon valley.
- The percentage of residents identifying as two or more races is higher in Enon valley at 20%, compared to 4% in Jefferson.
- A greater percentage of American Indian residents live in Jefferson at 5% compared to 0% in Enon valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Jefferson | Enon valley |
---|---|---|
Mental Health Not Good | 12.5% | 17.0% |
Physical Health Not Good | 8.2% | 11.4% |
Depression | 16.7% | 23.6% |
Smoking | 14.5% | 19.6% |
Binge Drinking | 20.4% | 20.0% |
Obesity | 38.6% | 35.1% |
Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Jefferson vs Enon valley
- In Enon valley, a higher percentage report poor mental health at 17.0% compared to 12.5% in Jefferson.
- Higher depression rates are seen in Enon valley at 23.6% versus 16.7% in Jefferson.
- Enon valley has a higher smoking rate at 19.6% compared to 14.5% in Jefferson.
- Binge drinking is more common in Jefferson at 20.4% compared to 20.0% in Enon valley.
- Obesity rates are higher in Jefferson at 38.6% compared to 35.1% in Enon valley.
- There is a higher percentage of disabled individuals in Enon valley at 15.0% compared to 14.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Jefferson | Enon valley |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 22.3% (102) | 21.4% (63) |
Less than High School | 7.9% (36) | 8.5% (25) |
Bachelor's Degree and Higher | 23.0% (105) | 14.2% (42) |
Education Levels Comparison: Jefferson vs Enon valley
- The percentage of residents with no formal schooling is the same in both Jefferson and Enon valley at 0.0%.
- A higher percentage of residents in Jefferson hold a high school diploma at 22.3% compared to 21.4% in Enon valley.
- The percentage of residents with less than a high school education is higher in Enon valley at 8.5%, compared to 7.9% in Jefferson.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 23.0% compared to 14.2% in Enon valley.
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.