Demographics details for Elm city, NC vs Lampe, MO
Population Overview
Compare main population characteristics in Elm city, NC vs Lampe, MO.
| Data | Elm city | Lampe |
|---|---|---|
| Population | 1,204 | 110 |
| Median Age | 48.0 years | 50.0 years |
| Median Income | $48,125 | $55,000 |
| Married Families | 43.0% | 50.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 5.1 | 5.0 |
Population Comparison: Elm city vs Lampe
- In Elm city, the population is higher at 1,204, compared to 110 in Lampe.
- The median age in Lampe is higher at 50.0 years, compared to 48.0 years in Elm city.
- Lampe has a higher median income of $55,000, compared to $48,125 in Elm city.
- In Lampe, the percentage of married families is higher at 50.0%, compared to 43.0% in Elm city.
- Elm city has a higher poverty level at 15% compared to 10% in Lampe.
- The unemployment rate in Elm city is higher at 5.1%, compared to 5.0% in Lampe.
Demographics
Demographics Elm city vs Lampe provide insight into the diversity of the communities to compare.
| Demographic | Elm city | Lampe |
|---|---|---|
| Black | 60 | Data is updating |
| White | 25 | 95 |
| Asian | 3 | Data is updating |
| Hispanic | 11 | 2 |
| Two or More Races | 1 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Elm city vs Lampe
- A higher percentage of Black residents are in Elm city at 60% compared to 0% in Lampe.
- The percentage of White residents is higher in Lampe at 95% compared to 25% in Elm city.
- The Asian population is larger in Elm city at 3% compared to 0% in Lampe.
- The Hispanic community is larger in Elm city at 11% compared to 2% in Lampe.
- The percentage of residents identifying as two or more races is higher in Lampe at 3%, compared to 1% in Elm city.
- The percentage of American Indian residents is the same in both Elm city and Lampe at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elm city | Lampe |
|---|---|---|
| Mental Health Not Good | 16.8% | Data is updating% |
| Physical Health Not Good | 12.0% | Data is updating% |
| Depression | 21.2% | Data is updating% |
| Smoking | 18.8% | Data is updating% |
| Binge Drinking | 15.7% | Data is updating% |
| Obesity | 37.9% | Data is updating% |
| Disability Percentage | 19.0% | Data is updating% |
Health Statistics Comparison: Elm city vs Lampe
- More residents in Elm city report poor mental health at 16.8% compared to 0.0% in Lampe.
- Depression is more prevalent in Elm city at 21.2% compared to 0.0% in Lampe.
- Smoking is more prevalent in Elm city at 18.8% compared to 0.0% in Lampe.
- Binge drinking is more common in Elm city at 15.7% compared to 0.0% in Lampe.
- Obesity rates are higher in Elm city at 37.9% compared to 0.0% in Lampe.
- Disability percentages are higher in Elm city at 19.0% 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 | Elm city | Lampe |
|---|---|---|
| No Schooling | 0.7% (8) | 0.0% (Data is updating) |
| High School Diploma | 24.1% (290) | 0.0% (Data is updating) |
| Less than High School | 15.1% (182) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 11.5% (139) | 0.0% (Data is updating) |
Education Levels Comparison: Elm city vs Lampe
- A higher percentage of residents in Elm city have no formal schooling at 0.7% compared to 0.0% in Lampe.
- A higher percentage of residents in Elm city hold a high school diploma at 24.1% compared to 0.0% in Lampe.
- More residents in Elm city have less than a high school education at 15.1% compared to 0.0% in Lampe.
- A higher percentage of residents in Elm city hold a bachelor's degree or higher at 11.5% 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.