Demographics details for Schoharie, NY vs Jefferson, SD
Population Overview
Compare main population characteristics in Schoharie, NY vs Jefferson, SD.
Data | Schoharie | Jefferson |
---|---|---|
Population | 30,063 | 457 |
Median Age | 45.7 years | 37.1 years |
Median Income | $71,479 | $77,601 |
Married Families | 43.0% | 59.0% |
Poverty Level | 7% | 5% |
Unemployment Rate | 3.9 | 2.3 |
Population Comparison: Schoharie vs Jefferson
- In Schoharie, the population is higher at 30,063, compared to 457 in Jefferson.
- Residents in Schoharie have a higher median age of 45.7 years compared to 37.1 years in Jefferson.
- Jefferson has a higher median income of $77,601, compared to $71,479 in Schoharie.
- In Jefferson, the percentage of married families is higher at 59.0%, compared to 43.0% in Schoharie.
- Schoharie has a higher poverty level at 7% compared to 5% in Jefferson.
- The unemployment rate in Schoharie is higher at 3.9%, compared to 2.3% in Jefferson.
Demographics
Demographics Schoharie vs Jefferson provide insight into the diversity of the communities to compare.
Demographic | Schoharie | Jefferson |
---|---|---|
Black | 2 | Data is updating |
White | 89 | 85 |
Asian | 1 | Data is updating |
Hispanic | 4 | 6 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | 5 |
Demographics Comparison: Schoharie vs Jefferson
- A higher percentage of Black residents are in Schoharie at 2% compared to 0% in Jefferson.
- Schoharie has a higher percentage of White residents at 89% compared to 85% in Jefferson.
- The Asian population is larger in Schoharie at 1% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 6%, compared to 4% in Schoharie.
- Both Schoharie 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 Schoharie.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Schoharie | Jefferson |
---|---|---|
Mental Health Not Good | 16.6% | 12.5% |
Physical Health Not Good | 11.1% | 8.2% |
Depression | 23.3% | 16.7% |
Smoking | 18.9% | 14.5% |
Binge Drinking | 19.0% | 20.4% |
Obesity | 37.0% | 38.6% |
Disability Percentage | 17.0% | 14.0% |
Health Statistics Comparison: Schoharie vs Jefferson
- More residents in Schoharie report poor mental health at 16.6% compared to 12.5% in Jefferson.
- Depression is more prevalent in Schoharie at 23.3% compared to 16.7% in Jefferson.
- Smoking is more prevalent in Schoharie at 18.9% compared to 14.5% in Jefferson.
- More residents engage in binge drinking in Jefferson at 20.4% compared to 19.0% in Schoharie.
- Jefferson has higher obesity rates at 38.6% compared to 37.0% in Schoharie.
- Disability percentages are higher in Schoharie at 17.0% 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 | Schoharie | Jefferson |
---|---|---|
No Schooling | 0.8% (242) | 0.0% (Data is updating) |
High School Diploma | 20.8% (6,267) | 22.3% (102) |
Less than High School | 12.3% (3,707) | 7.9% (36) |
Bachelor's Degree and Higher | 17.9% (5,369) | 23.0% (105) |
Education Levels Comparison: Schoharie vs Jefferson
- A higher percentage of residents in Schoharie have no formal schooling at 0.8% compared to 0.0% in Jefferson.
- In Jefferson, the rate of residents with high school diplomas is higher at 22.3% compared to 20.8% in Schoharie.
- More residents in Schoharie have less than a high school education at 12.3% compared to 7.9% in Jefferson.
- In Jefferson, a larger share of residents have a bachelor's degree or higher at 23.0% compared to 17.9% in Schoharie.
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.