Demographics details for Milford, UT vs Orange, CA
Population Overview
Compare main population characteristics in Milford, UT vs Orange, CA.
| Data | Milford | Orange |
|---|---|---|
| Population | 1,454 | 136,178 |
| Median Age | 24.8 years | 36.5 years |
| Median Income | $83,783 | $109,335 |
| Married Families | 50.0% | 40.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Milford vs Orange
- The population in Orange is higher at 136,178, compared to 1,454 in Milford.
- The median age in Orange is higher at 36.5 years, compared to 24.8 years in Milford.
- Orange has a higher median income of $109,335, compared to $83,783 in Milford.
- A higher percentage of married families is found in Milford at 50.0% compared to 40.0% in Orange.
- Milford has a higher poverty level at 10% compared to 9% in Orange.
- Orange has a higher unemployment rate at 4.1% compared to 3.2% in Milford.
Demographics
Demographics Milford vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Milford | Orange |
|---|---|---|
| Black | Data is updating | 2 |
| White | 74 | 29 |
| Asian | Data is updating | 14 |
| Hispanic | 19 | 40 |
| Two or More Races | 6 | 14 |
| American Indian | 1 | 1 |
Demographics Comparison: Milford vs Orange
- In Orange, the percentage of Black residents is higher at 2% compared to 0% in Milford.
- Milford has a higher percentage of White residents at 74% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 0% in Milford.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 19% in Milford.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 6% in Milford.
- The percentage of American Indian residents is the same in both Milford and Orange at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milford | Orange |
|---|---|---|
| Mental Health Not Good | 17.2% | 14.9% |
| Physical Health Not Good | 12.0% | 10.2% |
| Depression | 23.5% | 17.9% |
| Smoking | 12.4% | 10.5% |
| Binge Drinking | 13.2% | 16.8% |
| Obesity | 34.2% | 27.1% |
| Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Milford vs Orange
- More residents in Milford report poor mental health at 17.2% compared to 14.9% in Orange.
- Depression is more prevalent in Milford at 23.5% compared to 17.9% in Orange.
- Smoking is more prevalent in Milford at 12.4% compared to 10.5% in Orange.
- More residents engage in binge drinking in Orange at 16.8% compared to 13.2% in Milford.
- Obesity rates are higher in Milford at 34.2% compared to 27.1% in Orange.
- Disability percentages are higher in Milford at 14.0% 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 | Milford | Orange |
|---|---|---|
| No Schooling | 0.3% (5) | 1.8% (2,483) |
| High School Diploma | 14.7% (214) | 11.0% (14,986) |
| Less than High School | 3.1% (45) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 16.8% (244) | 28.2% (38,372) |
Education Levels Comparison: Milford vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% compared to 0.3% in Milford.
- A higher percentage of residents in Milford hold a high school diploma at 14.7% 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 3.1% in Milford.
- In Orange, a larger share of residents have a bachelor's degree or higher at 28.2% compared to 16.8% in Milford.
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.