Demographics details for Eureka, MO vs Wilmington, OH
Population Overview
Compare main population characteristics in Eureka, MO vs Wilmington, OH.
| Data | Eureka | Wilmington |
|---|---|---|
| Population | 12,729 | 12,656 |
| Median Age | 37.9 years | 36.5 years |
| Median Income | $104,697 | $48,407 |
| Married Families | 42.0% | 31.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.2 | 5.2 |
Population Comparison: Eureka vs Wilmington
- In Eureka, the population is higher at 12,729, compared to 12,656 in Wilmington.
- Residents in Eureka have a higher median age of 37.9 years compared to 36.5 years in Wilmington.
- Eureka has a higher median income of $104,697 compared to $48,407 in Wilmington.
- A higher percentage of married families is found in Eureka at 42.0% compared to 31.0% in Wilmington.
- The poverty level is higher in Wilmington at 12%, compared to 5% in Eureka.
- Wilmington has a higher unemployment rate at 5.2% compared to 3.2% in Eureka.
Demographics
Demographics Eureka vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | Eureka | Wilmington |
|---|---|---|
| Black | Data is updating | 5 |
| White | 88 | 85 |
| Asian | 2 | 2 |
| Hispanic | 2 | 3 |
| Two or More Races | 8 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Eureka vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 5% compared to 0% in Eureka.
- Eureka has a higher percentage of White residents at 88% compared to 85% in Wilmington.
- Both Eureka and Wilmington have the same percentage of Asian residents at 2%.
- Wilmington has a higher percentage of Hispanic residents at 3%, compared to 2% in Eureka.
- More residents identify as two or more races in Eureka at 8% compared to 5% in Wilmington.
- The percentage of American Indian residents is the same in both Eureka and Wilmington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Eureka | Wilmington |
|---|---|---|
| Mental Health Not Good | 14.2% | 19.1% |
| Physical Health Not Good | 8.7% | 13.1% |
| Depression | 22.8% | 25.1% |
| Smoking | 14.1% | 22.9% |
| Binge Drinking | 21.9% | 16.7% |
| Obesity | 30.0% | 43.0% |
| Disability Percentage | 7.0% | 19.0% |
Health Statistics Comparison: Eureka vs Wilmington
- In Wilmington, a higher percentage report poor mental health at 19.1% compared to 14.2% in Eureka.
- Higher depression rates are seen in Wilmington at 25.1% versus 22.8% in Eureka.
- Wilmington has a higher smoking rate at 22.9% compared to 14.1% in Eureka.
- Binge drinking is more common in Eureka at 21.9% compared to 16.7% in Wilmington.
- Wilmington has higher obesity rates at 43.0% compared to 30.0% in Eureka.
- There is a higher percentage of disabled individuals in Wilmington at 19.0% compared to 7.0% in Eureka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Eureka | Wilmington |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (171) |
| High School Diploma | 10.5% (1,337) | 21.3% (2,702) |
| Less than High School | 3.2% (405) | 11.0% (1,394) |
| Bachelor's Degree and Higher | 30.1% (3,835) | 13.9% (1,753) |
Education Levels Comparison: Eureka vs Wilmington
- In Wilmington, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Eureka.
- In Wilmington, the rate of residents with high school diplomas is higher at 21.3% compared to 10.5% in Eureka.
- The percentage of residents with less than a high school education is higher in Wilmington at 11.0%, compared to 3.2% in Eureka.
- A higher percentage of residents in Eureka hold a bachelor's degree or higher at 30.1% compared to 13.9% in Wilmington.
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.