Demographics details for Lakewood, WA vs Milan, OH
Population Overview
Compare main population characteristics in Lakewood, WA vs Milan, OH.
| Data | Lakewood | Milan |
|---|---|---|
| Population | 62,572 | 1,359 |
| Median Age | 36.2 years | 40.1 years |
| Median Income | $65,531 | $90,145 |
| Married Families | 36.0% | 51.0% |
| Poverty Level | 8% | 5% |
| Unemployment Rate | 5.5 | 3.5 |
Population Comparison: Lakewood vs Milan
- In Lakewood, the population is higher at 62,572, compared to 1,359 in Milan.
- The median age in Milan is higher at 40.1 years, compared to 36.2 years in Lakewood.
- Milan has a higher median income of $90,145, compared to $65,531 in Lakewood.
- In Milan, the percentage of married families is higher at 51.0%, compared to 36.0% in Lakewood.
- Lakewood has a higher poverty level at 8% compared to 5% in Milan.
- The unemployment rate in Lakewood is higher at 5.5%, compared to 3.5% in Milan.
Demographics
Demographics Lakewood vs Milan provide insight into the diversity of the communities to compare.
| Demographic | Lakewood | Milan |
|---|---|---|
| Black | 14 | 2 |
| White | 43 | 94 |
| Asian | 9 | Data is updating |
| Hispanic | 18 | 2 |
| Two or More Races | 15 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lakewood vs Milan
- A higher percentage of Black residents are in Lakewood at 14% compared to 2% in Milan.
- The percentage of White residents is higher in Milan at 94% compared to 43% in Lakewood.
- The Asian population is larger in Lakewood at 9% compared to 0% in Milan.
- The Hispanic community is larger in Lakewood at 18% compared to 2% in Milan.
- More residents identify as two or more races in Lakewood at 15% compared to 2% in Milan.
- A greater percentage of American Indian residents live in Lakewood at 1% compared to 0% in Milan.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lakewood | Milan |
|---|---|---|
| Mental Health Not Good | 19.6% | 16.5% |
| Physical Health Not Good | 12.6% | 10.6% |
| Depression | 26.2% | 24.1% |
| Smoking | 16.8% | 19.3% |
| Binge Drinking | 15.7% | 21.0% |
| Obesity | 36.0% | 39.2% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Lakewood vs Milan
- More residents in Lakewood report poor mental health at 19.6% compared to 16.5% in Milan.
- Depression is more prevalent in Lakewood at 26.2% compared to 24.1% in Milan.
- Milan has a higher smoking rate at 19.3% compared to 16.8% in Lakewood.
- More residents engage in binge drinking in Milan at 21.0% compared to 15.7% in Lakewood.
- Milan has higher obesity rates at 39.2% compared to 36.0% in Lakewood.
- Disability percentages are higher in Lakewood at 17.0% compared to 13.0% in Milan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lakewood | Milan |
|---|---|---|
| No Schooling | 1.1% (686) | 0.0% (Data is updating) |
| High School Diploma | 14.8% (9,285) | 30.7% (417) |
| Less than High School | 14.4% (9,015) | 4.0% (54) |
| Bachelor's Degree and Higher | 16.5% (10,340) | 18.3% (249) |
Education Levels Comparison: Lakewood vs Milan
- A higher percentage of residents in Lakewood have no formal schooling at 1.1% compared to 0.0% in Milan.
- In Milan, the rate of residents with high school diplomas is higher at 30.7% compared to 14.8% in Lakewood.
- More residents in Lakewood have less than a high school education at 14.4% compared to 4.0% in Milan.
- In Milan, a larger share of residents have a bachelor's degree or higher at 18.3% compared to 16.5% in Lakewood.
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.