Demographics details for Papillion, NE vs San clemente, CA
Population Overview
Compare main population characteristics in Papillion, NE vs San clemente, CA.
Data | Papillion | San clemente |
---|---|---|
Population | 23,794 | 63,457 |
Median Age | 40.3 years | 44.2 years |
Median Income | $104,608 | $134,730 |
Married Families | 49.0% | 49.0% |
Poverty Level | 5% | 7% |
Unemployment Rate | 3.2 | 3.8 |
Population Comparison: Papillion vs San clemente
- The population in San clemente is higher at 63,457, compared to 23,794 in Papillion.
- The median age in San clemente is higher at 44.2 years, compared to 40.3 years in Papillion.
- San clemente has a higher median income of $134,730, compared to $104,608 in Papillion.
- The percentage of married families is the same in both Papillion and San clemente at 49.0%.
- The poverty level is higher in San clemente at 7%, compared to 5% in Papillion.
- San clemente has a higher unemployment rate at 3.8% compared to 3.2% in Papillion.
Demographics
Demographics Papillion vs San clemente provide insight into the diversity of the communities to compare.
Demographic | Papillion | San clemente |
---|---|---|
Black | 3 | 2 |
White | 83 | 64 |
Asian | 2 | 5 |
Hispanic | 7 | 17 |
Two or More Races | 5 | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Papillion vs San clemente
- A higher percentage of Black residents are in Papillion at 3% compared to 2% in San clemente.
- Papillion has a higher percentage of White residents at 83% compared to 64% in San clemente.
- In San clemente, the Asian population stands at 5%, greater than 2% in Papillion.
- San clemente has a higher percentage of Hispanic residents at 17%, compared to 7% in Papillion.
- The percentage of residents identifying as two or more races is higher in San clemente at 12%, compared to 5% in Papillion.
- The percentage of American Indian residents is the same in both Papillion and San clemente at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Papillion | San clemente |
---|---|---|
Mental Health Not Good | 12.4% | 14.2% |
Physical Health Not Good | 7.6% | 8.6% |
Depression | 17.5% | 18.9% |
Smoking | 12.1% | 8.9% |
Binge Drinking | 21.3% | 19.0% |
Obesity | 36.3% | 25.4% |
Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Papillion vs San clemente
- In San clemente, a higher percentage report poor mental health at 14.2% compared to 12.4% in Papillion.
- Higher depression rates are seen in San clemente at 18.9% versus 17.5% in Papillion.
- Smoking is more prevalent in Papillion at 12.1% compared to 8.9% in San clemente.
- Binge drinking is more common in Papillion at 21.3% compared to 19.0% in San clemente.
- Obesity rates are higher in Papillion at 36.3% compared to 25.4% in San clemente.
- Disability percentages are higher in Papillion at 10.0% compared to 9.0% in San clemente.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Papillion | San clemente |
---|---|---|
No Schooling | 0.2% (48) | 0.9% (574) |
High School Diploma | 11.6% (2,751) | 8.4% (5,352) |
Less than High School | 3.8% (910) | 7.8% (4,957) |
Bachelor's Degree and Higher | 31.8% (7,575) | 36.1% (22,911) |
Education Levels Comparison: Papillion vs San clemente
- In San clemente, a larger percentage of residents lack formal schooling at 0.9% compared to 0.2% in Papillion.
- A higher percentage of residents in Papillion hold a high school diploma at 11.6% compared to 8.4% in San clemente.
- The percentage of residents with less than a high school education is higher in San clemente at 7.8%, compared to 3.8% in Papillion.
- In San clemente, a larger share of residents have a bachelor's degree or higher at 36.1% compared to 31.8% in Papillion.
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.