Demographics details for Papillion, NE vs Hampton, GA
Population Overview
Compare main population characteristics in Papillion, NE vs Hampton, GA.
| Data | Papillion | Hampton |
|---|---|---|
| Population | 23,794 | 8,267 |
| Median Age | 40.3 years | 32.9 years |
| Median Income | $104,608 | $67,808 |
| Married Families | 49.0% | 33.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Papillion vs Hampton
- In Papillion, the population is higher at 23,794, compared to 8,267 in Hampton.
- Residents in Papillion have a higher median age of 40.3 years compared to 32.9 years in Hampton.
- Papillion has a higher median income of $104,608 compared to $67,808 in Hampton.
- A higher percentage of married families is found in Papillion at 49.0% compared to 33.0% in Hampton.
- The poverty level is higher in Hampton at 10%, compared to 5% in Papillion.
- Hampton has a higher unemployment rate at 4.0% compared to 3.2% in Papillion.
Demographics
Demographics Papillion vs Hampton provide insight into the diversity of the communities to compare.
| Demographic | Papillion | Hampton |
|---|---|---|
| Black | 3 | 58 |
| White | 83 | 35 |
| Asian | 2 | Data is updating |
| Hispanic | 7 | 4 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Papillion vs Hampton
- In Hampton, the percentage of Black residents is higher at 58% compared to 3% in Papillion.
- Papillion has a higher percentage of White residents at 83% compared to 35% in Hampton.
- The Asian population is larger in Papillion at 2% compared to 0% in Hampton.
- The Hispanic community is larger in Papillion at 7% compared to 4% in Hampton.
- More residents identify as two or more races in Papillion at 5% compared to 3% in Hampton.
- The percentage of American Indian residents is the same in both Papillion and Hampton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Papillion | Hampton |
|---|---|---|
| Mental Health Not Good | 12.4% | 16.2% |
| Physical Health Not Good | 7.6% | 11.2% |
| Depression | 17.5% | 20.7% |
| Smoking | 12.1% | 15.5% |
| Binge Drinking | 21.3% | 16.5% |
| Obesity | 36.3% | 37.0% |
| Disability Percentage | 10.0% | 6.0% |
Health Statistics Comparison: Papillion vs Hampton
- In Hampton, a higher percentage report poor mental health at 16.2% compared to 12.4% in Papillion.
- Higher depression rates are seen in Hampton at 20.7% versus 17.5% in Papillion.
- Hampton has a higher smoking rate at 15.5% compared to 12.1% in Papillion.
- Binge drinking is more common in Papillion at 21.3% compared to 16.5% in Hampton.
- Hampton has higher obesity rates at 37.0% compared to 36.3% in Papillion.
- Disability percentages are higher in Papillion at 10.0% compared to 6.0% in Hampton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Papillion | Hampton |
|---|---|---|
| No Schooling | 0.2% (48) | 0.0% (Data is updating) |
| High School Diploma | 11.6% (2,751) | 19.6% (1,619) |
| Less than High School | 3.8% (910) | 3.5% (293) |
| Bachelor's Degree and Higher | 31.8% (7,575) | 13.8% (1,140) |
Education Levels Comparison: Papillion vs Hampton
- A higher percentage of residents in Papillion have no formal schooling at 0.2% compared to 0.0% in Hampton.
- In Hampton, the rate of residents with high school diplomas is higher at 19.6% compared to 11.6% in Papillion.
- More residents in Papillion have less than a high school education at 3.8% compared to 3.5% in Hampton.
- A higher percentage of residents in Papillion hold a bachelor's degree or higher at 31.8% compared to 13.8% in Hampton.
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.