Demographics details for Glendora, CA vs Blue ridge, GA
Population Overview
Compare main population characteristics in Glendora, CA vs Blue ridge, GA.
Data | Glendora | Blue ridge |
---|---|---|
Population | 50,824 | 1,226 |
Median Age | 40.4 years | 47.3 years |
Median Income | $106,718 | $34,659 |
Married Families | 43.0% | 42.0% |
Poverty Level | 10% | 14% |
Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Glendora vs Blue ridge
- In Glendora, the population is higher at 50,824, compared to 1,226 in Blue ridge.
- The median age in Blue ridge is higher at 47.3 years, compared to 40.4 years in Glendora.
- Glendora has a higher median income of $106,718 compared to $34,659 in Blue ridge.
- A higher percentage of married families is found in Glendora at 43.0% compared to 42.0% in Blue ridge.
- The poverty level is higher in Blue ridge at 14%, compared to 10% in Glendora.
- The unemployment rate in Glendora is higher at 5.2%, compared to 3.5% in Blue ridge.
Demographics
Demographics Glendora vs Blue ridge provide insight into the diversity of the communities to compare.
Demographic | Glendora | Blue ridge |
---|---|---|
Black | 3 | 3 |
White | 26 | 93 |
Asian | 12 | Data is updating |
Hispanic | 41 | 3 |
Two or More Races | 17 | 1 |
American Indian | 1 | Data is updating |
Demographics Comparison: Glendora vs Blue ridge
- The percentage of Black residents is the same in both Glendora and Blue ridge at 3%.
- The percentage of White residents is higher in Blue ridge at 93% compared to 26% in Glendora.
- The Asian population is larger in Glendora at 12% compared to 0% in Blue ridge.
- The Hispanic community is larger in Glendora at 41% compared to 3% in Blue ridge.
- More residents identify as two or more races in Glendora at 17% compared to 1% in Blue ridge.
- A greater percentage of American Indian residents live in Glendora at 1% compared to 0% in Blue ridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Glendora | Blue ridge |
---|---|---|
Mental Health Not Good | 14.7% | 17.5% |
Physical Health Not Good | 9.5% | 12.4% |
Depression | 16.9% | 23.5% |
Smoking | 9.4% | 18.6% |
Binge Drinking | 17.1% | 17.3% |
Obesity | 26.3% | 32.9% |
Disability Percentage | 10.0% | 27.0% |
Health Statistics Comparison: Glendora vs Blue ridge
- In Blue ridge, a higher percentage report poor mental health at 17.5% compared to 14.7% in Glendora.
- Higher depression rates are seen in Blue ridge at 23.5% versus 16.9% in Glendora.
- Blue ridge has a higher smoking rate at 18.6% compared to 9.4% in Glendora.
- More residents engage in binge drinking in Blue ridge at 17.3% compared to 17.1% in Glendora.
- Blue ridge has higher obesity rates at 32.9% compared to 26.3% in Glendora.
- There is a higher percentage of disabled individuals in Blue ridge at 27.0% compared to 10.0% in Glendora.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Glendora | Blue ridge |
---|---|---|
No Schooling | 0.9% (433) | 3.5% (43) |
High School Diploma | 13.8% (7,021) | 21.1% (259) |
Less than High School | 9.4% (4,801) | 38.8% (476) |
Bachelor's Degree and Higher | 26.5% (13,482) | 15.3% (187) |
Education Levels Comparison: Glendora vs Blue ridge
- In Blue ridge, a larger percentage of residents lack formal schooling at 3.5% compared to 0.9% in Glendora.
- In Blue ridge, the rate of residents with high school diplomas is higher at 21.1% compared to 13.8% in Glendora.
- The percentage of residents with less than a high school education is higher in Blue ridge at 38.8%, compared to 9.4% in Glendora.
- A higher percentage of residents in Glendora hold a bachelor's degree or higher at 26.5% compared to 15.3% in Blue ridge.
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.