Demographics details for Strum, WI vs Millersburg, OH
Population Overview
Compare main population characteristics in Strum, WI vs Millersburg, OH.
| Data | Strum | Millersburg |
|---|---|---|
| Population | 1,068 | 3,180 |
| Median Age | 33.7 years | 38.2 years |
| Median Income | $64,911 | $48,913 |
| Married Families | 41.0% | 40.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Strum vs Millersburg
- The population in Millersburg is higher at 3,180, compared to 1,068 in Strum.
- The median age in Millersburg is higher at 38.2 years, compared to 33.7 years in Strum.
- Strum has a higher median income of $64,911 compared to $48,913 in Millersburg.
- A higher percentage of married families is found in Strum at 41.0% compared to 40.0% in Millersburg.
- The poverty level is higher in Millersburg at 10%, compared to 0% in Strum.
- Millersburg has a higher unemployment rate at 4.5% compared to 2.5% in Strum.
Demographics
Demographics Strum vs Millersburg provide insight into the diversity of the communities to compare.
| Demographic | Strum | Millersburg |
|---|---|---|
| Black | Data is updating | 1 |
| White | 91 | 95 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 3 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Strum vs Millersburg
- In Millersburg, the percentage of Black residents is higher at 1% compared to 0% in Strum.
- The percentage of White residents is higher in Millersburg at 95% compared to 91% in Strum.
- The Asian population is larger in Strum at 1% compared to 0% in Millersburg.
- The Hispanic community is larger in Strum at 4% compared to 0% in Millersburg.
- The percentage of residents identifying as two or more races is higher in Millersburg at 4%, compared to 3% in Strum.
- A greater percentage of American Indian residents live in Strum at 1% compared to 0% in Millersburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Strum | Millersburg |
|---|---|---|
| Mental Health Not Good | 14.7% | 18.5% |
| Physical Health Not Good | 9.9% | 12.5% |
| Depression | 23.2% | 24.9% |
| Smoking | 15.7% | 22.4% |
| Binge Drinking | 24.8% | 18.0% |
| Obesity | 35.0% | 39.2% |
| Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Strum vs Millersburg
- In Millersburg, a higher percentage report poor mental health at 18.5% compared to 14.7% in Strum.
- Higher depression rates are seen in Millersburg at 24.9% versus 23.2% in Strum.
- Millersburg has a higher smoking rate at 22.4% compared to 15.7% in Strum.
- Binge drinking is more common in Strum at 24.8% compared to 18.0% in Millersburg.
- Millersburg has higher obesity rates at 39.2% compared to 35.0% in Strum.
- Disability percentages are higher in Strum at 14.0% compared to 13.0% in Millersburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Strum | Millersburg |
|---|---|---|
| No Schooling | 0.7% (7) | 1.4% (46) |
| High School Diploma | 23.6% (252) | 25.2% (801) |
| Less than High School | 4.5% (48) | 27.2% (864) |
| Bachelor's Degree and Higher | 14.5% (155) | 20.3% (644) |
Education Levels Comparison: Strum vs Millersburg
- In Millersburg, a larger percentage of residents lack formal schooling at 1.4% compared to 0.7% in Strum.
- In Millersburg, the rate of residents with high school diplomas is higher at 25.2% compared to 23.6% in Strum.
- The percentage of residents with less than a high school education is higher in Millersburg at 27.2%, compared to 4.5% in Strum.
- In Millersburg, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 14.5% in Strum.
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.