Demographics details for Orange, CA vs Princeton, LA
Population Overview
Compare main population characteristics in Orange, CA vs Princeton, LA.
| Data | Orange | Princeton |
|---|---|---|
| Population | 136,178 | 1,554 |
| Median Age | 36.5 years | 36.0 years |
| Median Income | $109,335 | $48,500 |
| Married Families | 40.0% | 52.0% |
| Poverty Level | 9% | 15% |
| Unemployment Rate | 4.1 | 6.0 |
Population Comparison: Orange vs Princeton
- In Orange, the population is higher at 136,178, compared to 1,554 in Princeton.
- Residents in Orange have a higher median age of 36.5 years compared to 36.0 years in Princeton.
- Orange has a higher median income of $109,335 compared to $48,500 in Princeton.
- In Princeton, the percentage of married families is higher at 52.0%, compared to 40.0% in Orange.
- The poverty level is higher in Princeton at 15%, compared to 9% in Orange.
- Princeton has a higher unemployment rate at 6.0% compared to 4.1% in Orange.
Demographics
Demographics Orange vs Princeton provide insight into the diversity of the communities to compare.
| Demographic | Orange | Princeton |
|---|---|---|
| Black | 2 | 50 |
| White | 29 | 48 |
| Asian | 14 | Data is updating |
| Hispanic | 40 | 2 |
| Two or More Races | 14 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Orange vs Princeton
- In Princeton, the percentage of Black residents is higher at 50% compared to 2% in Orange.
- The percentage of White residents is higher in Princeton at 48% compared to 29% in Orange.
- The Asian population is larger in Orange at 14% compared to 0% in Princeton.
- The Hispanic community is larger in Orange at 40% compared to 2% in Princeton.
- More residents identify as two or more races in Orange at 14% compared to 0% in Princeton.
- A greater percentage of American Indian residents live in Orange at 1% compared to 0% in Princeton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Orange | Princeton |
|---|---|---|
| Mental Health Not Good | 14.9% | Data is updating% |
| Physical Health Not Good | 10.2% | Data is updating% |
| Depression | 17.9% | Data is updating% |
| Smoking | 10.5% | Data is updating% |
| Binge Drinking | 16.8% | Data is updating% |
| Obesity | 27.1% | Data is updating% |
| Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Orange vs Princeton
- More residents in Orange report poor mental health at 14.9% compared to 0.0% in Princeton.
- Depression is more prevalent in Orange at 17.9% compared to 0.0% in Princeton.
- Smoking is more prevalent in Orange at 10.5% compared to 0.0% in Princeton.
- Binge drinking is more common in Orange at 16.8% compared to 0.0% in Princeton.
- Obesity rates are higher in Orange at 27.1% compared to 0.0% in Princeton.
- Disability percentages are higher in Orange at 8.0% compared to 0.0% in Princeton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Orange | Princeton |
|---|---|---|
| No Schooling | 1.8% (2,483) | 0.0% (Data is updating) |
| High School Diploma | 11.0% (14,986) | 0.0% (Data is updating) |
| Less than High School | 15.5% (21,174) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 28.2% (38,372) | 0.0% (Data is updating) |
Education Levels Comparison: Orange vs Princeton
- A higher percentage of residents in Orange have no formal schooling at 1.8% compared to 0.0% in Princeton.
- A higher percentage of residents in Orange hold a high school diploma at 11.0% compared to 0.0% in Princeton.
- More residents in Orange have less than a high school education at 15.5% compared to 0.0% in Princeton.
- A higher percentage of residents in Orange hold a bachelor's degree or higher at 28.2% compared to 0.0% in Princeton.
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.