Demographics details for Kingston, TN vs Ogema, WI
Population Overview
Compare main population characteristics in Kingston, TN vs Ogema, WI.
| Data | Kingston | Ogema |
|---|---|---|
| Population | 6,115 | 684 |
| Median Age | 44.7 years | 35.0 years |
| Median Income | $67,637 | $55,000 |
| Married Families | 37.0% | 40.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.4 | 3.0 |
Population Comparison: Kingston vs Ogema
- In Kingston, the population is higher at 6,115, compared to 684 in Ogema.
- Residents in Kingston have a higher median age of 44.7 years compared to 35.0 years in Ogema.
- Kingston has a higher median income of $67,637 compared to $55,000 in Ogema.
- In Ogema, the percentage of married families is higher at 40.0%, compared to 37.0% in Kingston.
- Kingston has a higher poverty level at 12% compared to 5% in Ogema.
- The unemployment rate in Kingston is higher at 3.4%, compared to 3.0% in Ogema.
Demographics
Demographics Kingston vs Ogema provide insight into the diversity of the communities to compare.
| Demographic | Kingston | Ogema |
|---|---|---|
| Black | 4 | 1 |
| White | 91 | 96 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 2 |
| Two or More Races | 3 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kingston vs Ogema
- A higher percentage of Black residents are in Kingston at 4% compared to 1% in Ogema.
- The percentage of White residents is higher in Ogema at 96% compared to 91% in Kingston.
- Both Kingston and Ogema have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Kingston and Ogema at 2%.
- More residents identify as two or more races in Kingston at 3% compared to 1% in Ogema.
- The percentage of American Indian residents is the same in both Kingston and Ogema at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingston | Ogema |
|---|---|---|
| Mental Health Not Good | 17.7% | Data is updating% |
| Physical Health Not Good | 11.2% | Data is updating% |
| Depression | 26.6% | Data is updating% |
| Smoking | 18.0% | Data is updating% |
| Binge Drinking | 16.9% | Data is updating% |
| Obesity | 34.5% | Data is updating% |
| Disability Percentage | 20.0% | Data is updating% |
Health Statistics Comparison: Kingston vs Ogema
- More residents in Kingston report poor mental health at 17.7% compared to 0.0% in Ogema.
- Depression is more prevalent in Kingston at 26.6% compared to 0.0% in Ogema.
- Smoking is more prevalent in Kingston at 18.0% compared to 0.0% in Ogema.
- Binge drinking is more common in Kingston at 16.9% compared to 0.0% in Ogema.
- Obesity rates are higher in Kingston at 34.5% compared to 0.0% in Ogema.
- Disability percentages are higher in Kingston at 20.0% compared to 0.0% in Ogema.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingston | Ogema |
|---|---|---|
| No Schooling | 0.4% (25) | 0.0% (Data is updating) |
| High School Diploma | 23.4% (1,433) | 0.0% (Data is updating) |
| Less than High School | 10.0% (613) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 16.5% (1,009) | 0.0% (Data is updating) |
Education Levels Comparison: Kingston vs Ogema
- A higher percentage of residents in Kingston have no formal schooling at 0.4% compared to 0.0% in Ogema.
- A higher percentage of residents in Kingston hold a high school diploma at 23.4% compared to 0.0% in Ogema.
- More residents in Kingston have less than a high school education at 10.0% compared to 0.0% in Ogema.
- A higher percentage of residents in Kingston hold a bachelor's degree or higher at 16.5% compared to 0.0% in Ogema.
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.