Demographics details for Secretary, MD vs Orange, CA
Population Overview
Compare main population characteristics in Secretary, MD vs Orange, CA.
| Data | Secretary | Orange |
|---|---|---|
| Population | 471 | 136,178 |
| Median Age | 32.8 years | 36.5 years |
| Median Income | $66,458 | $109,335 |
| Married Families | 40.0% | 40.0% |
| Poverty Level | 9% | 9% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Secretary vs Orange
- The population in Orange is higher at 136,178, compared to 471 in Secretary.
- The median age in Orange is higher at 36.5 years, compared to 32.8 years in Secretary.
- Orange has a higher median income of $109,335, compared to $66,458 in Secretary.
- The percentage of married families is the same in both Secretary and Orange at 40.0%.
- The poverty level is identical in both Secretary and Orange at 9%.
- Orange has a higher unemployment rate at 4.1% compared to 3.5% in Secretary.
Demographics
Demographics Secretary vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Secretary | Orange |
|---|---|---|
| Black | Data is updating | 2 |
| White | 60 | 29 |
| Asian | Data is updating | 14 |
| Hispanic | 33 | 40 |
| Two or More Races | 7 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Secretary vs Orange
- In Orange, the percentage of Black residents is higher at 2% compared to 0% in Secretary.
- Secretary has a higher percentage of White residents at 60% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 0% in Secretary.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 33% in Secretary.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 7% in Secretary.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in Secretary.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Secretary | Orange |
|---|---|---|
| Mental Health Not Good | 16.0% | 14.9% |
| Physical Health Not Good | 10.4% | 10.2% |
| Depression | 21.4% | 17.9% |
| Smoking | 16.5% | 10.5% |
| Binge Drinking | 15.9% | 16.8% |
| Obesity | 34.7% | 27.1% |
| Disability Percentage | 25.0% | 8.0% |
Health Statistics Comparison: Secretary vs Orange
- More residents in Secretary report poor mental health at 16.0% compared to 14.9% in Orange.
- Depression is more prevalent in Secretary at 21.4% compared to 17.9% in Orange.
- Smoking is more prevalent in Secretary at 16.5% compared to 10.5% in Orange.
- More residents engage in binge drinking in Orange at 16.8% compared to 15.9% in Secretary.
- Obesity rates are higher in Secretary at 34.7% compared to 27.1% in Orange.
- Disability percentages are higher in Secretary at 25.0% compared to 8.0% in Orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Secretary | Orange |
|---|---|---|
| No Schooling | 1.1% (5) | 1.8% (2,483) |
| High School Diploma | 36.7% (173) | 11.0% (14,986) |
| Less than High School | 14.0% (66) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 11.5% (54) | 28.2% (38,372) |
Education Levels Comparison: Secretary vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% compared to 1.1% in Secretary.
- A higher percentage of residents in Secretary hold a high school diploma at 36.7% compared to 11.0% in Orange.
- The percentage of residents with less than a high school education is higher in Orange at 15.5%, compared to 14.0% in Secretary.
- In Orange, a larger share of residents have a bachelor's degree or higher at 28.2% compared to 11.5% in Secretary.
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.