Demographics details for Orange, CA vs Fishing creek, MD
Population Overview
Compare main population characteristics in Orange, CA vs Fishing creek, MD.
| Data | Orange | Fishing creek |
|---|---|---|
| Population | 136,178 | 235 |
| Median Age | 36.5 years | 55.9 years |
| Median Income | $109,335 | $76,250 |
| Married Families | 40.0% | 58.0% |
| Poverty Level | 9% | Data is updating |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Orange vs Fishing creek
- In Orange, the population is higher at 136,178, compared to 235 in Fishing creek.
- The median age in Fishing creek is higher at 55.9 years, compared to 36.5 years in Orange.
- Orange has a higher median income of $109,335 compared to $76,250 in Fishing creek.
- In Fishing creek, the percentage of married families is higher at 58.0%, compared to 40.0% in Orange.
- Orange has a higher poverty level at 9% compared to 0% in Fishing creek.
- The unemployment rate in Orange is higher at 4.1%, compared to 3.5% in Fishing creek.
Demographics
Demographics Orange vs Fishing creek provide insight into the diversity of the communities to compare.
| Demographic | Orange | Fishing creek |
|---|---|---|
| Black | 2 | Data is updating |
| White | 29 | 100 |
| Asian | 14 | Data is updating |
| Hispanic | 40 | Data is updating |
| Two or More Races | 14 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Orange vs Fishing creek
- A higher percentage of Black residents are in Orange at 2% compared to 0% in Fishing creek.
- The percentage of White residents is higher in Fishing creek at 100% compared to 29% in Orange.
- The Asian population is larger in Orange at 14% compared to 0% in Fishing creek.
- The Hispanic community is larger in Orange at 40% compared to 0% in Fishing creek.
- More residents identify as two or more races in Orange at 14% compared to 0% in Fishing creek.
- A greater percentage of American Indian residents live in Orange at 1% compared to 0% in Fishing creek.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Orange | Fishing creek |
|---|---|---|
| Mental Health Not Good | 14.9% | 15.3% |
| Physical Health Not Good | 10.2% | 9.6% |
| Depression | 17.9% | 21.2% |
| Smoking | 10.5% | 15.1% |
| Binge Drinking | 16.8% | 16.8% |
| Obesity | 27.1% | 33.1% |
| Disability Percentage | 8.0% | 28.0% |
Health Statistics Comparison: Orange vs Fishing creek
- In Fishing creek, a higher percentage report poor mental health at 15.3% compared to 14.9% in Orange.
- Higher depression rates are seen in Fishing creek at 21.2% versus 17.9% in Orange.
- Fishing creek has a higher smoking rate at 15.1% compared to 10.5% in Orange.
- Binge drinking rates are similar in both Orange and Fishing creek at 16.8%.
- Fishing creek has higher obesity rates at 33.1% compared to 27.1% in Orange.
- There is a higher percentage of disabled individuals in Fishing creek at 28.0% 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 | Orange | Fishing creek |
|---|---|---|
| No Schooling | 1.8% (2,483) | 0.0% (Data is updating) |
| High School Diploma | 11.0% (14,986) | 34.5% (81) |
| Less than High School | 15.5% (21,174) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 28.2% (38,372) | 16.2% (38) |
Education Levels Comparison: Orange vs Fishing creek
- A higher percentage of residents in Orange have no formal schooling at 1.8% compared to 0.0% in Fishing creek.
- In Fishing creek, the rate of residents with high school diplomas is higher at 34.5% compared to 11.0% in Orange.
- More residents in Orange have less than a high school education at 15.5% compared to 0.0% in Fishing creek.
- A higher percentage of residents in Orange hold a bachelor's degree or higher at 28.2% compared to 16.2% in Fishing creek.
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.