Demographics details for Orange, CA vs Glade spring, VA
Population Overview
Compare main population characteristics in Orange, CA vs Glade spring, VA.
Data | Orange | Glade spring |
---|---|---|
Population | 136,178 | 1,367 |
Median Age | 36.5 years | 35.7 years |
Median Income | $109,335 | $70,000 |
Married Families | 40.0% | 62.0% |
Poverty Level | 9% | 8% |
Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Orange vs Glade spring
- In Orange, the population is higher at 136,178, compared to 1,367 in Glade spring.
- Residents in Orange have a higher median age of 36.5 years compared to 35.7 years in Glade spring.
- Orange has a higher median income of $109,335 compared to $70,000 in Glade spring.
- In Glade spring, the percentage of married families is higher at 62.0%, compared to 40.0% in Orange.
- Orange has a higher poverty level at 9% compared to 8% in Glade spring.
- The unemployment rate in Orange is higher at 4.1%, compared to 3.5% in Glade spring.
Demographics
Demographics Orange vs Glade spring provide insight into the diversity of the communities to compare.
Demographic | Orange | Glade spring |
---|---|---|
Black | 2 | 2 |
White | 29 | 95 |
Asian | 14 | Data is updating |
Hispanic | 40 | Data is updating |
Two or More Races | 14 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Orange vs Glade spring
- The percentage of Black residents is the same in both Orange and Glade spring at 2%.
- The percentage of White residents is higher in Glade spring at 95% compared to 29% in Orange.
- The Asian population is larger in Orange at 14% compared to 0% in Glade spring.
- The Hispanic community is larger in Orange at 40% compared to 0% in Glade spring.
- More residents identify as two or more races in Orange at 14% compared to 3% in Glade spring.
- A greater percentage of American Indian residents live in Orange at 1% compared to 0% in Glade spring.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Orange | Glade spring |
---|---|---|
Mental Health Not Good | 14.9% | 20.1% |
Physical Health Not Good | 10.2% | 13.8% |
Depression | 17.9% | 28.7% |
Smoking | 10.5% | 22.8% |
Binge Drinking | 16.8% | 16.5% |
Obesity | 27.1% | 40.2% |
Disability Percentage | 8.0% | 25.0% |
Health Statistics Comparison: Orange vs Glade spring
- In Glade spring, a higher percentage report poor mental health at 20.1% compared to 14.9% in Orange.
- Higher depression rates are seen in Glade spring at 28.7% versus 17.9% in Orange.
- Glade spring has a higher smoking rate at 22.8% compared to 10.5% in Orange.
- Binge drinking is more common in Orange at 16.8% compared to 16.5% in Glade spring.
- Glade spring has higher obesity rates at 40.2% compared to 27.1% in Orange.
- There is a higher percentage of disabled individuals in Glade spring 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 | Orange | Glade spring |
---|---|---|
No Schooling | 1.8% (2,483) | 0.7% (10) |
High School Diploma | 11.0% (14,986) | 29.0% (397) |
Less than High School | 15.5% (21,174) | 23.9% (327) |
Bachelor's Degree and Higher | 28.2% (38,372) | 25.5% (348) |
Education Levels Comparison: Orange vs Glade spring
- A higher percentage of residents in Orange have no formal schooling at 1.8% compared to 0.7% in Glade spring.
- In Glade spring, the rate of residents with high school diplomas is higher at 29.0% compared to 11.0% in Orange.
- The percentage of residents with less than a high school education is higher in Glade spring at 23.9%, compared to 15.5% in Orange.
- A higher percentage of residents in Orange hold a bachelor's degree or higher at 28.2% compared to 25.5% in Glade spring.
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.