Demographics details for Kingston, TN vs Strum, WI
Population Overview
Compare main population characteristics in Kingston, TN vs Strum, WI.
| Data | Kingston | Strum |
|---|---|---|
| Population | 6,115 | 1,068 |
| Median Age | 44.7 years | 33.7 years |
| Median Income | $67,637 | $64,911 |
| Married Families | 37.0% | 41.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.4 | 2.5 |
Population Comparison: Kingston vs Strum
- In Kingston, the population is higher at 6,115, compared to 1,068 in Strum.
- Residents in Kingston have a higher median age of 44.7 years compared to 33.7 years in Strum.
- Kingston has a higher median income of $67,637 compared to $64,911 in Strum.
- In Strum, the percentage of married families is higher at 41.0%, compared to 37.0% in Kingston.
- Kingston has a higher poverty level at 12% compared to 0% in Strum.
- The unemployment rate in Kingston is higher at 3.4%, compared to 2.5% in Strum.
Demographics
Demographics Kingston vs Strum provide insight into the diversity of the communities to compare.
| Demographic | Kingston | Strum |
|---|---|---|
| Black | 4 | Data is updating |
| White | 91 | 91 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 4 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Kingston vs Strum
- A higher percentage of Black residents are in Kingston at 4% compared to 0% in Strum.
- The percentage of White residents is the same in both Kingston and Strum at 91%.
- In Strum, the Asian population stands at 1%, greater than 0% in Kingston.
- Strum has a higher percentage of Hispanic residents at 4%, compared to 2% in Kingston.
- Both Kingston and Strum have the same percentage of residents identifying as two or more races at 3%.
- In Strum, the percentage of American Indian residents is higher at 1%, compared to 0% in Kingston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingston | Strum |
|---|---|---|
| Mental Health Not Good | 17.7% | 14.7% |
| Physical Health Not Good | 11.2% | 9.9% |
| Depression | 26.6% | 23.2% |
| Smoking | 18.0% | 15.7% |
| Binge Drinking | 16.9% | 24.8% |
| Obesity | 34.5% | 35.0% |
| Disability Percentage | 20.0% | 14.0% |
Health Statistics Comparison: Kingston vs Strum
- More residents in Kingston report poor mental health at 17.7% compared to 14.7% in Strum.
- Depression is more prevalent in Kingston at 26.6% compared to 23.2% in Strum.
- Smoking is more prevalent in Kingston at 18.0% compared to 15.7% in Strum.
- More residents engage in binge drinking in Strum at 24.8% compared to 16.9% in Kingston.
- Strum has higher obesity rates at 35.0% compared to 34.5% in Kingston.
- Disability percentages are higher in Kingston at 20.0% compared to 14.0% in Strum.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingston | Strum |
|---|---|---|
| No Schooling | 0.4% (25) | 0.7% (7) |
| High School Diploma | 23.4% (1,433) | 23.6% (252) |
| Less than High School | 10.0% (613) | 4.5% (48) |
| Bachelor's Degree and Higher | 16.5% (1,009) | 14.5% (155) |
Education Levels Comparison: Kingston vs Strum
- In Strum, a larger percentage of residents lack formal schooling at 0.7% compared to 0.4% in Kingston.
- In Strum, the rate of residents with high school diplomas is higher at 23.6% compared to 23.4% in Kingston.
- More residents in Kingston have less than a high school education at 10.0% compared to 4.5% in Strum.
- A higher percentage of residents in Kingston hold a bachelor's degree or higher at 16.5% compared to 14.5% in Strum.
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.