Demographics details for Milford, UT vs South pasadena, CA
Population Overview
Compare main population characteristics in Milford, UT vs South pasadena, CA.
Data | Milford | South pasadena |
---|---|---|
Population | 1,454 | 25,850 |
Median Age | 24.8 years | 40.6 years |
Median Income | $83,783 | $127,882 |
Married Families | 50.0% | 45.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 3.2 | 5.1 |
Population Comparison: Milford vs South pasadena
- The population in South pasadena is higher at 25,850, compared to 1,454 in Milford.
- The median age in South pasadena is higher at 40.6 years, compared to 24.8 years in Milford.
- South pasadena has a higher median income of $127,882, compared to $83,783 in Milford.
- A higher percentage of married families is found in Milford at 50.0% compared to 45.0% in South pasadena.
- Milford has a higher poverty level at 10% compared to 8% in South pasadena.
- South pasadena has a higher unemployment rate at 5.1% compared to 3.2% in Milford.
Demographics
Demographics Milford vs South pasadena provide insight into the diversity of the communities to compare.
Demographic | Milford | South pasadena |
---|---|---|
Black | Data is updating | 4 |
White | 74 | 31 |
Asian | Data is updating | 34 |
Hispanic | 19 | 19 |
Two or More Races | 6 | 12 |
American Indian | 1 | Data is updating |
Demographics Comparison: Milford vs South pasadena
- In South pasadena, the percentage of Black residents is higher at 4% compared to 0% in Milford.
- Milford has a higher percentage of White residents at 74% compared to 31% in South pasadena.
- In South pasadena, the Asian population stands at 34%, greater than 0% in Milford.
- The percentage of Hispanic residents is the same in both Milford and South pasadena at 19%.
- The percentage of residents identifying as two or more races is higher in South pasadena at 12%, compared to 6% in Milford.
- A greater percentage of American Indian residents live in Milford at 1% compared to 0% in South pasadena.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Milford | South pasadena |
---|---|---|
Mental Health Not Good | 17.2% | 11.9% |
Physical Health Not Good | 12.0% | 7.1% |
Depression | 23.5% | 13.8% |
Smoking | 12.4% | 6.3% |
Binge Drinking | 13.2% | 15.3% |
Obesity | 34.2% | 20.9% |
Disability Percentage | 14.0% | 7.0% |
Health Statistics Comparison: Milford vs South pasadena
- More residents in Milford report poor mental health at 17.2% compared to 11.9% in South pasadena.
- Depression is more prevalent in Milford at 23.5% compared to 13.8% in South pasadena.
- Smoking is more prevalent in Milford at 12.4% compared to 6.3% in South pasadena.
- More residents engage in binge drinking in South pasadena at 15.3% compared to 13.2% in Milford.
- Obesity rates are higher in Milford at 34.2% compared to 20.9% in South pasadena.
- Disability percentages are higher in Milford at 14.0% compared to 7.0% in South pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Milford | South pasadena |
---|---|---|
No Schooling | 0.3% (5) | 0.7% (177) |
High School Diploma | 14.7% (214) | 4.3% (1,111) |
Less than High School | 3.1% (45) | 3.0% (766) |
Bachelor's Degree and Higher | 16.8% (244) | 53.2% (13,751) |
Education Levels Comparison: Milford vs South pasadena
- In South pasadena, a larger percentage of residents lack formal schooling at 0.7% compared to 0.3% in Milford.
- A higher percentage of residents in Milford hold a high school diploma at 14.7% compared to 4.3% in South pasadena.
- More residents in Milford have less than a high school education at 3.1% compared to 3.0% in South pasadena.
- In South pasadena, a larger share of residents have a bachelor's degree or higher at 53.2% 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.