Demographics details for Ephrata, WA vs Millersburg, OH
Population Overview
Compare main population characteristics in Ephrata, WA vs Millersburg, OH.
Data | Ephrata | Millersburg |
---|---|---|
Population | 8,476 | 3,180 |
Median Age | 33.4 years | 38.2 years |
Median Income | $57,958 | $48,913 |
Married Families | 33.0% | 40.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Ephrata vs Millersburg
- In Ephrata, the population is higher at 8,476, compared to 3,180 in Millersburg.
- The median age in Millersburg is higher at 38.2 years, compared to 33.4 years in Ephrata.
- Ephrata has a higher median income of $57,958 compared to $48,913 in Millersburg.
- In Millersburg, the percentage of married families is higher at 40.0%, compared to 33.0% in Ephrata.
- Ephrata has a higher poverty level at 11% compared to 10% in Millersburg.
- Millersburg has a higher unemployment rate at 4.5% compared to 4.2% in Ephrata.
Demographics
Demographics Ephrata vs Millersburg provide insight into the diversity of the communities to compare.
Demographic | Ephrata | Millersburg |
---|---|---|
Black | 1 | 1 |
White | 63 | 95 |
Asian | Data is updating | Data is updating |
Hispanic | 25 | Data is updating |
Two or More Races | 11 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Ephrata vs Millersburg
- The percentage of Black residents is the same in both Ephrata and Millersburg at 1%.
- The percentage of White residents is higher in Millersburg at 95% compared to 63% in Ephrata.
- Both Ephrata and Millersburg have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Ephrata at 25% compared to 0% in Millersburg.
- More residents identify as two or more races in Ephrata at 11% compared to 4% in Millersburg.
- The percentage of American Indian residents is the same in both Ephrata and Millersburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ephrata | Millersburg |
---|---|---|
Mental Health Not Good | 18.0% | 18.5% |
Physical Health Not Good | 12.7% | 12.5% |
Depression | 27.0% | 24.9% |
Smoking | 17.0% | 22.4% |
Binge Drinking | 17.6% | 18.0% |
Obesity | 35.1% | 39.2% |
Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Ephrata vs Millersburg
- In Millersburg, a higher percentage report poor mental health at 18.5% compared to 18.0% in Ephrata.
- Depression is more prevalent in Ephrata at 27.0% compared to 24.9% in Millersburg.
- Millersburg has a higher smoking rate at 22.4% compared to 17.0% in Ephrata.
- More residents engage in binge drinking in Millersburg at 18.0% compared to 17.6% in Ephrata.
- Millersburg has higher obesity rates at 39.2% compared to 35.1% in Ephrata.
- There is a higher percentage of disabled individuals in Millersburg at 13.0% compared to 8.0% in Ephrata.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ephrata | Millersburg |
---|---|---|
No Schooling | 0.8% (65) | 1.4% (46) |
High School Diploma | 17.7% (1,503) | 25.2% (801) |
Less than High School | 14.4% (1,223) | 27.2% (864) |
Bachelor's Degree and Higher | 8.0% (677) | 20.3% (644) |
Education Levels Comparison: Ephrata vs Millersburg
- In Millersburg, a larger percentage of residents lack formal schooling at 1.4% compared to 0.8% in Ephrata.
- In Millersburg, the rate of residents with high school diplomas is higher at 25.2% compared to 17.7% in Ephrata.
- The percentage of residents with less than a high school education is higher in Millersburg at 27.2%, compared to 14.4% in Ephrata.
- In Millersburg, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 8.0% in Ephrata.
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.