Demographics details for Milan, OH vs Inglewood, CA
Population Overview
Compare main population characteristics in Milan, OH vs Inglewood, CA.
| Data | Milan | Inglewood |
|---|---|---|
| Population | 1,359 | 103,621 |
| Median Age | 40.1 years | 37.3 years |
| Median Income | $90,145 | $67,563 |
| Married Families | 51.0% | 30.0% |
| Poverty Level | 5% | 18% |
| Unemployment Rate | 3.5 | 6.8 |
Population Comparison: Milan vs Inglewood
- The population in Inglewood is higher at 103,621, compared to 1,359 in Milan.
- Residents in Milan have a higher median age of 40.1 years compared to 37.3 years in Inglewood.
- Milan has a higher median income of $90,145 compared to $67,563 in Inglewood.
- A higher percentage of married families is found in Milan at 51.0% compared to 30.0% in Inglewood.
- The poverty level is higher in Inglewood at 18%, compared to 5% in Milan.
- Inglewood has a higher unemployment rate at 6.8% compared to 3.5% in Milan.
Demographics
Demographics Milan vs Inglewood provide insight into the diversity of the communities to compare.
| Demographic | Milan | Inglewood |
|---|---|---|
| Black | 2 | 41 |
| White | 94 | 16 |
| Asian | Data is updating | 3 |
| Hispanic | 2 | 51 |
| Two or More Races | 2 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Milan vs Inglewood
- In Inglewood, the percentage of Black residents is higher at 41% compared to 2% in Milan.
- Milan has a higher percentage of White residents at 94% compared to 16% in Inglewood.
- In Inglewood, the Asian population stands at 3%, greater than 0% in Milan.
- Inglewood has a higher percentage of Hispanic residents at 51%, compared to 2% in Milan.
- The percentage of residents identifying as two or more races is higher in Inglewood at 14%, compared to 2% in Milan.
- In Inglewood, the percentage of American Indian residents is higher at 1%, compared to 0% in Milan.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milan | Inglewood |
|---|---|---|
| Mental Health Not Good | 16.5% | 17.0% |
| Physical Health Not Good | 10.6% | 13.2% |
| Depression | 24.1% | 15.4% |
| Smoking | 19.3% | 13.2% |
| Binge Drinking | 21.0% | 13.8% |
| Obesity | 39.2% | 35.7% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Milan vs Inglewood
- In Inglewood, a higher percentage report poor mental health at 17.0% compared to 16.5% in Milan.
- Depression is more prevalent in Milan at 24.1% compared to 15.4% in Inglewood.
- Smoking is more prevalent in Milan at 19.3% compared to 13.2% in Inglewood.
- Binge drinking is more common in Milan at 21.0% compared to 13.8% in Inglewood.
- Obesity rates are higher in Milan at 39.2% compared to 35.7% in Inglewood.
- Disability percentages are the same in both Milan and Inglewood at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Milan | Inglewood |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.5% (3,619) |
| High School Diploma | 30.7% (417) | 14.8% (15,291) |
| Less than High School | 4.0% (54) | 29.9% (30,999) |
| Bachelor's Degree and Higher | 18.3% (249) | 16.3% (16,899) |
Education Levels Comparison: Milan vs Inglewood
- In Inglewood, a larger percentage of residents lack formal schooling at 3.5% compared to 0.0% in Milan.
- A higher percentage of residents in Milan hold a high school diploma at 30.7% compared to 14.8% in Inglewood.
- The percentage of residents with less than a high school education is higher in Inglewood at 29.9%, compared to 4.0% in Milan.
- A higher percentage of residents in Milan hold a bachelor's degree or higher at 18.3% compared to 16.3% in Inglewood.
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.