Demographics details for Papillion, NE vs Lampe, MO
Population Overview
Compare main population characteristics in Papillion, NE vs Lampe, MO.
| Data | Papillion | Lampe |
|---|---|---|
| Population | 23,794 | 110 |
| Median Age | 40.3 years | 50.0 years |
| Median Income | $104,608 | $55,000 |
| Married Families | 49.0% | 50.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Papillion vs Lampe
- In Papillion, the population is higher at 23,794, compared to 110 in Lampe.
- The median age in Lampe is higher at 50.0 years, compared to 40.3 years in Papillion.
- Papillion has a higher median income of $104,608 compared to $55,000 in Lampe.
- In Lampe, the percentage of married families is higher at 50.0%, compared to 49.0% in Papillion.
- The poverty level is higher in Lampe at 10%, compared to 5% in Papillion.
- Lampe has a higher unemployment rate at 5.0% compared to 3.2% in Papillion.
Demographics
Demographics Papillion vs Lampe provide insight into the diversity of the communities to compare.
| Demographic | Papillion | Lampe |
|---|---|---|
| Black | 3 | Data is updating |
| White | 83 | 95 |
| Asian | 2 | Data is updating |
| Hispanic | 7 | 2 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Papillion vs Lampe
- A higher percentage of Black residents are in Papillion at 3% compared to 0% in Lampe.
- The percentage of White residents is higher in Lampe at 95% compared to 83% in Papillion.
- The Asian population is larger in Papillion at 2% compared to 0% in Lampe.
- The Hispanic community is larger in Papillion at 7% compared to 2% in Lampe.
- More residents identify as two or more races in Papillion at 5% compared to 3% in Lampe.
- The percentage of American Indian residents is the same in both Papillion and Lampe at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Papillion | Lampe |
|---|---|---|
| Mental Health Not Good | 12.4% | Data is updating% |
| Physical Health Not Good | 7.6% | Data is updating% |
| Depression | 17.5% | Data is updating% |
| Smoking | 12.1% | Data is updating% |
| Binge Drinking | 21.3% | Data is updating% |
| Obesity | 36.3% | Data is updating% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Papillion vs Lampe
- More residents in Papillion report poor mental health at 12.4% compared to 0.0% in Lampe.
- Depression is more prevalent in Papillion at 17.5% compared to 0.0% in Lampe.
- Smoking is more prevalent in Papillion at 12.1% compared to 0.0% in Lampe.
- Binge drinking is more common in Papillion at 21.3% compared to 0.0% in Lampe.
- Obesity rates are higher in Papillion at 36.3% compared to 0.0% in Lampe.
- Disability percentages are higher in Papillion at 10.0% 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 | Papillion | Lampe |
|---|---|---|
| No Schooling | 0.2% (48) | 0.0% (Data is updating) |
| High School Diploma | 11.6% (2,751) | 0.0% (Data is updating) |
| Less than High School | 3.8% (910) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 31.8% (7,575) | 0.0% (Data is updating) |
Education Levels Comparison: Papillion vs Lampe
- A higher percentage of residents in Papillion have no formal schooling at 0.2% compared to 0.0% in Lampe.
- A higher percentage of residents in Papillion hold a high school diploma at 11.6% compared to 0.0% in Lampe.
- More residents in Papillion have less than a high school education at 3.8% compared to 0.0% in Lampe.
- A higher percentage of residents in Papillion hold a bachelor's degree or higher at 31.8% 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.