Demographics details for Papillion, NE vs Spring valley, NY
Population Overview
Compare main population characteristics in Papillion, NE vs Spring valley, NY.
Data | Papillion | Spring valley |
---|---|---|
Population | 23,794 | 32,884 |
Median Age | 40.3 years | 27.5 years |
Median Income | $104,608 | $50,749 |
Married Families | 49.0% | 32.0% |
Poverty Level | 5% | 10% |
Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Papillion vs Spring valley
- The population in Spring valley is higher at 32,884, compared to 23,794 in Papillion.
- Residents in Papillion have a higher median age of 40.3 years compared to 27.5 years in Spring valley.
- Papillion has a higher median income of $104,608 compared to $50,749 in Spring valley.
- A higher percentage of married families is found in Papillion at 49.0% compared to 32.0% in Spring valley.
- The poverty level is higher in Spring valley at 10%, compared to 5% in Papillion.
- The unemployment rate is the same in both Papillion and Spring valley at 3.2%.
Demographics
Demographics Papillion vs Spring valley provide insight into the diversity of the communities to compare.
Demographic | Papillion | Spring valley |
---|---|---|
Black | 3 | 32 |
White | 83 | 31 |
Asian | 2 | 3 |
Hispanic | 7 | 29 |
Two or More Races | 5 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Papillion vs Spring valley
- In Spring valley, the percentage of Black residents is higher at 32% compared to 3% in Papillion.
- Papillion has a higher percentage of White residents at 83% compared to 31% in Spring valley.
- In Spring valley, the Asian population stands at 3%, greater than 2% in Papillion.
- Spring valley has a higher percentage of Hispanic residents at 29%, compared to 7% in Papillion.
- Both Papillion and Spring valley have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Papillion and Spring valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Papillion | Spring valley |
---|---|---|
Mental Health Not Good | 12.4% | 16.7% |
Physical Health Not Good | 7.6% | 13.9% |
Depression | 17.5% | 18.7% |
Smoking | 12.1% | 22.3% |
Binge Drinking | 21.3% | 12.6% |
Obesity | 36.3% | 34.3% |
Disability Percentage | 10.0% | 8.0% |
Health Statistics Comparison: Papillion vs Spring valley
- In Spring valley, a higher percentage report poor mental health at 16.7% compared to 12.4% in Papillion.
- Higher depression rates are seen in Spring valley at 18.7% versus 17.5% in Papillion.
- Spring valley has a higher smoking rate at 22.3% compared to 12.1% in Papillion.
- Binge drinking is more common in Papillion at 21.3% compared to 12.6% in Spring valley.
- Obesity rates are higher in Papillion at 36.3% compared to 34.3% in Spring valley.
- Disability percentages are higher in Papillion at 10.0% compared to 8.0% in Spring valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Papillion | Spring valley |
---|---|---|
No Schooling | 0.2% (48) | 3.7% (1,224) |
High School Diploma | 11.6% (2,751) | 13.1% (4,315) |
Less than High School | 3.8% (910) | 20.5% (6,742) |
Bachelor's Degree and Higher | 31.8% (7,575) | 10.0% (3,273) |
Education Levels Comparison: Papillion vs Spring valley
- In Spring valley, a larger percentage of residents lack formal schooling at 3.7% compared to 0.2% in Papillion.
- In Spring valley, the rate of residents with high school diplomas is higher at 13.1% compared to 11.6% in Papillion.
- The percentage of residents with less than a high school education is higher in Spring valley at 20.5%, 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 10.0% in Spring valley.
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.