Demographics details for Arlington, MA vs Orange, CA
Population Overview
Compare main population characteristics in Arlington, MA vs Orange, CA.
| Data | Arlington | Orange |
|---|---|---|
| Population | 45,906 | 136,178 |
| Median Age | 40.7 years | 36.5 years |
| Median Income | $136,312 | $109,335 |
| Married Families | 45.0% | 40.0% |
| Poverty Level | 3% | 9% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Arlington vs Orange
- The population in Orange is higher at 136,178, compared to 45,906 in Arlington.
- Residents in Arlington have a higher median age of 40.7 years compared to 36.5 years in Orange.
- Arlington has a higher median income of $136,312 compared to $109,335 in Orange.
- A higher percentage of married families is found in Arlington at 45.0% compared to 40.0% in Orange.
- The poverty level is higher in Orange at 9%, compared to 3% in Arlington.
- The unemployment rate in Arlington is higher at 4.2%, compared to 4.1% in Orange.
Demographics
Demographics Arlington vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Arlington | Orange |
|---|---|---|
| Black | 3 | 2 |
| White | 73 | 29 |
| Asian | 13 | 14 |
| Hispanic | 5 | 40 |
| Two or More Races | 6 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Arlington vs Orange
- A higher percentage of Black residents are in Arlington at 3% compared to 2% in Orange.
- Arlington has a higher percentage of White residents at 73% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 13% in Arlington.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 5% in Arlington.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 6% in Arlington.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in Arlington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Arlington | Orange |
|---|---|---|
| Mental Health Not Good | 12.6% | 14.9% |
| Physical Health Not Good | 7.1% | 10.2% |
| Depression | 20.1% | 17.9% |
| Smoking | 7.8% | 10.5% |
| Binge Drinking | 19.4% | 16.8% |
| Obesity | 22.3% | 27.1% |
| Disability Percentage | 8.0% | 8.0% |
Health Statistics Comparison: Arlington vs Orange
- In Orange, a higher percentage report poor mental health at 14.9% compared to 12.6% in Arlington.
- Depression is more prevalent in Arlington at 20.1% compared to 17.9% in Orange.
- Orange has a higher smoking rate at 10.5% compared to 7.8% in Arlington.
- Binge drinking is more common in Arlington at 19.4% compared to 16.8% in Orange.
- Orange has higher obesity rates at 27.1% compared to 22.3% in Arlington.
- Disability percentages are the same in both Arlington and Orange at 8.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Arlington | Orange |
|---|---|---|
| No Schooling | 0.6% (256) | 1.8% (2,483) |
| High School Diploma | 6.8% (3,120) | 11.0% (14,986) |
| Less than High School | 3.8% (1,725) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 54.6% (25,070) | 28.2% (38,372) |
Education Levels Comparison: Arlington vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% compared to 0.6% in Arlington.
- In Orange, the rate of residents with high school diplomas is higher at 11.0% compared to 6.8% in Arlington.
- The percentage of residents with less than a high school education is higher in Orange at 15.5%, compared to 3.8% in Arlington.
- A higher percentage of residents in Arlington hold a bachelor's degree or higher at 54.6% compared to 28.2% in Orange.
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.