Demographics details for Parsons, KS vs Jefferson, SD
Population Overview
Compare main population characteristics in Parsons, KS vs Jefferson, SD.
| Data | Parsons | Jefferson |
|---|---|---|
| Population | 9,382 | 457 |
| Median Age | 38.0 years | 37.1 years |
| Median Income | $48,990 | $77,601 |
| Married Families | 34.0% | 59.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.5 | 2.3 |
Population Comparison: Parsons vs Jefferson
- In Parsons, the population is higher at 9,382, compared to 457 in Jefferson.
- Residents in Parsons have a higher median age of 38.0 years compared to 37.1 years in Jefferson.
- Jefferson has a higher median income of $77,601, compared to $48,990 in Parsons.
- In Jefferson, the percentage of married families is higher at 59.0%, compared to 34.0% in Parsons.
- Parsons has a higher poverty level at 12% compared to 5% in Jefferson.
- The unemployment rate in Parsons is higher at 3.5%, compared to 2.3% in Jefferson.
Demographics
Demographics Parsons vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Parsons | Jefferson |
|---|---|---|
| Black | 8 | Data is updating |
| White | 79 | 85 |
| Asian | Data is updating | Data is updating |
| Hispanic | 7 | 6 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Parsons vs Jefferson
- A higher percentage of Black residents are in Parsons at 8% compared to 0% in Jefferson.
- The percentage of White residents is higher in Jefferson at 85% compared to 79% in Parsons.
- Both Parsons and Jefferson have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Parsons at 7% compared to 6% in Jefferson.
- More residents identify as two or more races in Parsons at 6% compared to 4% in Jefferson.
- In Jefferson, the percentage of American Indian residents is higher at 5%, compared to 0% in Parsons.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Parsons | Jefferson |
|---|---|---|
| Mental Health Not Good | 18.4% | 12.5% |
| Physical Health Not Good | 12.7% | 8.2% |
| Depression | 22.3% | 16.7% |
| Smoking | 22.4% | 14.5% |
| Binge Drinking | 17.3% | 20.4% |
| Obesity | 45.2% | 38.6% |
| Disability Percentage | 23.0% | 14.0% |
Health Statistics Comparison: Parsons vs Jefferson
- More residents in Parsons report poor mental health at 18.4% compared to 12.5% in Jefferson.
- Depression is more prevalent in Parsons at 22.3% compared to 16.7% in Jefferson.
- Smoking is more prevalent in Parsons at 22.4% compared to 14.5% in Jefferson.
- More residents engage in binge drinking in Jefferson at 20.4% compared to 17.3% in Parsons.
- Obesity rates are higher in Parsons at 45.2% compared to 38.6% in Jefferson.
- Disability percentages are higher in Parsons at 23.0% 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 | Parsons | Jefferson |
|---|---|---|
| No Schooling | 1.2% (113) | 0.0% (Data is updating) |
| High School Diploma | 15.2% (1,423) | 22.3% (102) |
| Less than High School | 11.6% (1,093) | 7.9% (36) |
| Bachelor's Degree and Higher | 17.3% (1,621) | 23.0% (105) |
Education Levels Comparison: Parsons vs Jefferson
- A higher percentage of residents in Parsons have no formal schooling at 1.2% compared to 0.0% in Jefferson.
- In Jefferson, the rate of residents with high school diplomas is higher at 22.3% compared to 15.2% in Parsons.
- More residents in Parsons have less than a high school education at 11.6% 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 17.3% in Parsons.
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.