Demographics details for Lampe, MO vs Kingston, GA
Population Overview
Compare main population characteristics in Lampe, MO vs Kingston, GA.
| Data | Lampe | Kingston |
|---|---|---|
| Population | 110 | 742 |
| Median Age | 50.0 years | 43.3 years |
| Median Income | $55,000 | $50,000 |
| Married Families | 50.0% | 29.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Lampe vs Kingston
- The population in Kingston is higher at 742, compared to 110 in Lampe.
- Residents in Lampe have a higher median age of 50.0 years compared to 43.3 years in Kingston.
- Lampe has a higher median income of $55,000 compared to $50,000 in Kingston.
- A higher percentage of married families is found in Lampe at 50.0% compared to 29.0% in Kingston.
- Lampe has a higher poverty level at 10% compared to 8% in Kingston.
- The unemployment rate in Lampe is higher at 5.0%, compared to 3.5% in Kingston.
Demographics
Demographics Lampe vs Kingston provide insight into the diversity of the communities to compare.
| Demographic | Lampe | Kingston |
|---|---|---|
| Black | Data is updating | 30 |
| White | 95 | 53 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 6 |
| Two or More Races | 3 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lampe vs Kingston
- In Kingston, the percentage of Black residents is higher at 30% compared to 0% in Lampe.
- Lampe has a higher percentage of White residents at 95% compared to 53% in Kingston.
- Both Lampe and Kingston have the same percentage of Asian residents at 0%.
- Kingston has a higher percentage of Hispanic residents at 6%, compared to 2% in Lampe.
- The percentage of residents identifying as two or more races is higher in Kingston at 11%, compared to 3% in Lampe.
- The percentage of American Indian residents is the same in both Lampe and Kingston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lampe | Kingston |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.5% |
| Physical Health Not Good | Data is updating% | 12.0% |
| Depression | Data is updating% | 22.2% |
| Smoking | Data is updating% | 18.2% |
| Binge Drinking | Data is updating% | 16.1% |
| Obesity | Data is updating% | 35.1% |
| Disability Percentage | Data is updating% | 25.0% |
Health Statistics Comparison: Lampe vs Kingston
- In Kingston, a higher percentage report poor mental health at 17.5% compared to 0.0% in Lampe.
- Higher depression rates are seen in Kingston at 22.2% versus 0.0% in Lampe.
- Kingston has a higher smoking rate at 18.2% compared to 0.0% in Lampe.
- More residents engage in binge drinking in Kingston at 16.1% compared to 0.0% in Lampe.
- Kingston has higher obesity rates at 35.1% compared to 0.0% in Lampe.
- There is a higher percentage of disabled individuals in Kingston at 25.0% compared to 0.0% in Lampe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lampe | Kingston |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.9% (14) |
| High School Diploma | 0.0% (Data is updating) | 19.1% (142) |
| Less than High School | 0.0% (Data is updating) | 26.8% (199) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 3.1% (23) |
Education Levels Comparison: Lampe vs Kingston
- In Kingston, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Lampe.
- In Kingston, the rate of residents with high school diplomas is higher at 19.1% compared to 0.0% in Lampe.
- The percentage of residents with less than a high school education is higher in Kingston at 26.8%, compared to 0.0% in Lampe.
- In Kingston, a larger share of residents have a bachelor's degree or higher at 3.1% compared to 0.0% in Lampe.
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.