Demographics details for Ellensburg, WA vs Milan, OH
Population Overview
Compare main population characteristics in Ellensburg, WA vs Milan, OH.
Data | Ellensburg | Milan |
---|---|---|
Population | 18,703 | 1,359 |
Median Age | 24.9 years | 40.1 years |
Median Income | $53,730 | $90,145 |
Married Families | 25.0% | 51.0% |
Poverty Level | 14% | 5% |
Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Ellensburg vs Milan
- In Ellensburg, the population is higher at 18,703, compared to 1,359 in Milan.
- The median age in Milan is higher at 40.1 years, compared to 24.9 years in Ellensburg.
- Milan has a higher median income of $90,145, compared to $53,730 in Ellensburg.
- In Milan, the percentage of married families is higher at 51.0%, compared to 25.0% in Ellensburg.
- Ellensburg has a higher poverty level at 14% compared to 5% in Milan.
- The unemployment rate in Ellensburg is higher at 5.1%, compared to 3.5% in Milan.
Demographics
Demographics Ellensburg vs Milan provide insight into the diversity of the communities to compare.
Demographic | Ellensburg | Milan |
---|---|---|
Black | 2 | 2 |
White | 73 | 94 |
Asian | 2 | Data is updating |
Hispanic | 12 | 2 |
Two or More Races | 10 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Ellensburg vs Milan
- The percentage of Black residents is the same in both Ellensburg and Milan at 2%.
- The percentage of White residents is higher in Milan at 94% compared to 73% in Ellensburg.
- The Asian population is larger in Ellensburg at 2% compared to 0% in Milan.
- The Hispanic community is larger in Ellensburg at 12% compared to 2% in Milan.
- More residents identify as two or more races in Ellensburg at 10% compared to 2% in Milan.
- A greater percentage of American Indian residents live in Ellensburg at 1% compared to 0% in Milan.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ellensburg | Milan |
---|---|---|
Mental Health Not Good | 18.5% | 16.5% |
Physical Health Not Good | 12.5% | 10.6% |
Depression | 26.9% | 24.1% |
Smoking | 16.4% | 19.3% |
Binge Drinking | 17.0% | 21.0% |
Obesity | 32.3% | 39.2% |
Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Ellensburg vs Milan
- More residents in Ellensburg report poor mental health at 18.5% compared to 16.5% in Milan.
- Depression is more prevalent in Ellensburg at 26.9% compared to 24.1% in Milan.
- Milan has a higher smoking rate at 19.3% compared to 16.4% in Ellensburg.
- More residents engage in binge drinking in Milan at 21.0% compared to 17.0% in Ellensburg.
- Milan has higher obesity rates at 39.2% compared to 32.3% in Ellensburg.
- There is a higher percentage of disabled individuals in Milan at 13.0% compared to 11.0% in Ellensburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ellensburg | Milan |
---|---|---|
No Schooling | 0.5% (88) | 0.0% (Data is updating) |
High School Diploma | 7.9% (1,483) | 30.7% (417) |
Less than High School | 5.0% (941) | 4.0% (54) |
Bachelor's Degree and Higher | 22.9% (4,285) | 18.3% (249) |
Education Levels Comparison: Ellensburg vs Milan
- A higher percentage of residents in Ellensburg have no formal schooling at 0.5% compared to 0.0% in Milan.
- In Milan, the rate of residents with high school diplomas is higher at 30.7% compared to 7.9% in Ellensburg.
- More residents in Ellensburg have less than a high school education at 5.0% compared to 4.0% in Milan.
- A higher percentage of residents in Ellensburg hold a bachelor's degree or higher at 22.9% compared to 18.3% in Milan.
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.