Demographics details for Papillion, NE vs Chino, CA
Population Overview
Compare main population characteristics in Papillion, NE vs Chino, CA.
| Data | Papillion | Chino |
|---|---|---|
| Population | 23,794 | 93,140 |
| Median Age | 40.3 years | 36.9 years |
| Median Income | $104,608 | $99,385 |
| Married Families | 49.0% | 40.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.2 | 4.6 |
Population Comparison: Papillion vs Chino
- The population in Chino is higher at 93,140, compared to 23,794 in Papillion.
- Residents in Papillion have a higher median age of 40.3 years compared to 36.9 years in Chino.
- Papillion has a higher median income of $104,608 compared to $99,385 in Chino.
- A higher percentage of married families is found in Papillion at 49.0% compared to 40.0% in Chino.
- The poverty level is higher in Chino at 12%, compared to 5% in Papillion.
- Chino has a higher unemployment rate at 4.6% compared to 3.2% in Papillion.
Demographics
Demographics Papillion vs Chino provide insight into the diversity of the communities to compare.
| Demographic | Papillion | Chino |
|---|---|---|
| Black | 3 | 7 |
| White | 83 | 4 |
| Asian | 2 | 18 |
| Hispanic | 7 | 53 |
| Two or More Races | 5 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Papillion vs Chino
- In Chino, the percentage of Black residents is higher at 7% compared to 3% in Papillion.
- Papillion has a higher percentage of White residents at 83% compared to 4% in Chino.
- In Chino, the Asian population stands at 18%, greater than 2% in Papillion.
- Chino has a higher percentage of Hispanic residents at 53%, compared to 7% in Papillion.
- The percentage of residents identifying as two or more races is higher in Chino at 17%, compared to 5% in Papillion.
- In Chino, the percentage of American Indian residents is higher at 1%, compared to 0% in Papillion.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Papillion | Chino |
|---|---|---|
| Mental Health Not Good | 12.4% | 15.2% |
| Physical Health Not Good | 7.6% | 11.1% |
| Depression | 17.5% | 16.7% |
| Smoking | 12.1% | 11.3% |
| Binge Drinking | 21.3% | 16.0% |
| Obesity | 36.3% | 35.6% |
| Disability Percentage | 10.0% | 7.0% |
Health Statistics Comparison: Papillion vs Chino
- In Chino, a higher percentage report poor mental health at 15.2% compared to 12.4% in Papillion.
- Depression is more prevalent in Papillion at 17.5% compared to 16.7% in Chino.
- Smoking is more prevalent in Papillion at 12.1% compared to 11.3% in Chino.
- Binge drinking is more common in Papillion at 21.3% compared to 16.0% in Chino.
- Obesity rates are higher in Papillion at 36.3% compared to 35.6% in Chino.
- Disability percentages are higher in Papillion at 10.0% compared to 7.0% in Chino.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Papillion | Chino |
|---|---|---|
| No Schooling | 0.2% (48) | 1.6% (1,483) |
| High School Diploma | 11.6% (2,751) | 13.2% (12,268) |
| Less than High School | 3.8% (910) | 20.1% (18,697) |
| Bachelor's Degree and Higher | 31.8% (7,575) | 18.9% (17,626) |
Education Levels Comparison: Papillion vs Chino
- In Chino, a larger percentage of residents lack formal schooling at 1.6% compared to 0.2% in Papillion.
- In Chino, the rate of residents with high school diplomas is higher at 13.2% compared to 11.6% in Papillion.
- The percentage of residents with less than a high school education is higher in Chino at 20.1%, 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 18.9% in Chino.
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.