Demographics details for Papillion, NE vs Sulphur, OK
Population Overview
Compare main population characteristics in Papillion, NE vs Sulphur, OK.
| Data | Papillion | Sulphur |
|---|---|---|
| Population | 23,794 | 4,951 |
| Median Age | 40.3 years | 38.8 years |
| Median Income | $104,608 | $55,951 |
| Married Families | 49.0% | 34.0% |
| Poverty Level | 5% | 14% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Papillion vs Sulphur
- In Papillion, the population is higher at 23,794, compared to 4,951 in Sulphur.
- Residents in Papillion have a higher median age of 40.3 years compared to 38.8 years in Sulphur.
- Papillion has a higher median income of $104,608 compared to $55,951 in Sulphur.
- A higher percentage of married families is found in Papillion at 49.0% compared to 34.0% in Sulphur.
- The poverty level is higher in Sulphur at 14%, compared to 5% in Papillion.
- Sulphur has a higher unemployment rate at 3.5% compared to 3.2% in Papillion.
Demographics
Demographics Papillion vs Sulphur provide insight into the diversity of the communities to compare.
| Demographic | Papillion | Sulphur |
|---|---|---|
| Black | 3 | 2 |
| White | 83 | 60 |
| Asian | 2 | Data is updating |
| Hispanic | 7 | 12 |
| Two or More Races | 5 | 16 |
| American Indian | Data is updating | 10 |
Demographics Comparison: Papillion vs Sulphur
- A higher percentage of Black residents are in Papillion at 3% compared to 2% in Sulphur.
- Papillion has a higher percentage of White residents at 83% compared to 60% in Sulphur.
- The Asian population is larger in Papillion at 2% compared to 0% in Sulphur.
- Sulphur has a higher percentage of Hispanic residents at 12%, compared to 7% in Papillion.
- The percentage of residents identifying as two or more races is higher in Sulphur at 16%, compared to 5% in Papillion.
- In Sulphur, the percentage of American Indian residents is higher at 10%, compared to 0% in Papillion.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Papillion | Sulphur |
|---|---|---|
| Mental Health Not Good | 12.4% | 19.2% |
| Physical Health Not Good | 7.6% | 13.1% |
| Depression | 17.5% | 25.3% |
| Smoking | 12.1% | 21.4% |
| Binge Drinking | 21.3% | 14.6% |
| Obesity | 36.3% | 40.7% |
| Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Papillion vs Sulphur
- In Sulphur, a higher percentage report poor mental health at 19.2% compared to 12.4% in Papillion.
- Higher depression rates are seen in Sulphur at 25.3% versus 17.5% in Papillion.
- Sulphur has a higher smoking rate at 21.4% compared to 12.1% in Papillion.
- Binge drinking is more common in Papillion at 21.3% compared to 14.6% in Sulphur.
- Sulphur has higher obesity rates at 40.7% compared to 36.3% in Papillion.
- There is a higher percentage of disabled individuals in Sulphur at 19.0% compared to 10.0% in Papillion.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Papillion | Sulphur |
|---|---|---|
| No Schooling | 0.2% (48) | 1.8% (88) |
| High School Diploma | 11.6% (2,751) | 18.2% (899) |
| Less than High School | 3.8% (910) | 18.1% (898) |
| Bachelor's Degree and Higher | 31.8% (7,575) | 10.9% (542) |
Education Levels Comparison: Papillion vs Sulphur
- In Sulphur, a larger percentage of residents lack formal schooling at 1.8% compared to 0.2% in Papillion.
- In Sulphur, the rate of residents with high school diplomas is higher at 18.2% compared to 11.6% in Papillion.
- The percentage of residents with less than a high school education is higher in Sulphur at 18.1%, compared to 3.8% in Papillion.
- A higher percentage of residents in Papillion hold a bachelor's degree or higher at 31.8% compared to 10.9% in Sulphur.
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.