Demographics details for Lampe, MO vs Charlotte, NC
Population Overview
Compare main population characteristics in Lampe, MO vs Charlotte, NC.
| Data | Lampe | Charlotte |
|---|---|---|
| Population | 110 | 897,720 |
| Median Age | 50.0 years | 34.5 years |
| Median Income | $55,000 | $74,070 |
| Married Families | 50.0% | 33.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 5.0 | 4.0 |
Population Comparison: Lampe vs Charlotte
- The population in Charlotte is higher at 897,720, compared to 110 in Lampe.
- Residents in Lampe have a higher median age of 50.0 years compared to 34.5 years in Charlotte.
- Charlotte has a higher median income of $74,070, compared to $55,000 in Lampe.
- A higher percentage of married families is found in Lampe at 50.0% compared to 33.0% in Charlotte.
- The poverty level is higher in Charlotte at 12%, compared to 10% in Lampe.
- The unemployment rate in Lampe is higher at 5.0%, compared to 4.0% in Charlotte.
Demographics
Demographics Lampe vs Charlotte provide insight into the diversity of the communities to compare.
| Demographic | Lampe | Charlotte |
|---|---|---|
| Black | Data is updating | 34 |
| White | 95 | 38 |
| Asian | Data is updating | 6 |
| Hispanic | 2 | 15 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lampe vs Charlotte
- In Charlotte, the percentage of Black residents is higher at 34% compared to 0% in Lampe.
- Lampe has a higher percentage of White residents at 95% compared to 38% in Charlotte.
- In Charlotte, the Asian population stands at 6%, greater than 0% in Lampe.
- Charlotte has a higher percentage of Hispanic residents at 15%, compared to 2% in Lampe.
- The percentage of residents identifying as two or more races is higher in Charlotte at 7%, compared to 3% in Lampe.
- The percentage of American Indian residents is the same in both Lampe and Charlotte at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lampe | Charlotte |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.7% |
| Physical Health Not Good | Data is updating% | 10.1% |
| Depression | Data is updating% | 20.1% |
| Smoking | Data is updating% | 13.9% |
| Binge Drinking | Data is updating% | 17.5% |
| Obesity | Data is updating% | 34.7% |
| Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Lampe vs Charlotte
- In Charlotte, a higher percentage report poor mental health at 14.7% compared to 0.0% in Lampe.
- Higher depression rates are seen in Charlotte at 20.1% versus 0.0% in Lampe.
- Charlotte has a higher smoking rate at 13.9% compared to 0.0% in Lampe.
- More residents engage in binge drinking in Charlotte at 17.5% compared to 0.0% in Lampe.
- Charlotte has higher obesity rates at 34.7% compared to 0.0% in Lampe.
- There is a higher percentage of disabled individuals in Charlotte at 8.0% 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 | Charlotte |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.2% (10,429) |
| High School Diploma | 0.0% (Data is updating) | 9.4% (84,002) |
| Less than High School | 0.0% (Data is updating) | 10.7% (95,990) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 30.6% (274,311) |
Education Levels Comparison: Lampe vs Charlotte
- In Charlotte, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Lampe.
- In Charlotte, the rate of residents with high school diplomas is higher at 9.4% compared to 0.0% in Lampe.
- The percentage of residents with less than a high school education is higher in Charlotte at 10.7%, compared to 0.0% in Lampe.
- In Charlotte, a larger share of residents have a bachelor's degree or higher at 30.6% 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.