Demographics details for Tea, SD vs Millersburg, OH
Population Overview
Compare main population characteristics in Tea, SD vs Millersburg, OH.
| Data | Tea | Millersburg |
|---|---|---|
| Population | 6,918 | 3,180 |
| Median Age | 30.2 years | 38.2 years |
| Median Income | $99,153 | $48,913 |
| Married Families | 39.0% | 40.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Tea vs Millersburg
- In Tea, the population is higher at 6,918, compared to 3,180 in Millersburg.
- The median age in Millersburg is higher at 38.2 years, compared to 30.2 years in Tea.
- Tea has a higher median income of $99,153 compared to $48,913 in Millersburg.
- In Millersburg, the percentage of married families is higher at 40.0%, compared to 39.0% in Tea.
- The poverty level is higher in Millersburg at 10%, compared to 6% in Tea.
- Millersburg has a higher unemployment rate at 4.5% compared to 2.5% in Tea.
Demographics
Demographics Tea vs Millersburg provide insight into the diversity of the communities to compare.
| Demographic | Tea | Millersburg |
|---|---|---|
| Black | 2 | 1 |
| White | 95 | 95 |
| Asian | 1 | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tea vs Millersburg
- A higher percentage of Black residents are in Tea at 2% compared to 1% in Millersburg.
- The percentage of White residents is the same in both Tea and Millersburg at 95%.
- The Asian population is larger in Tea at 1% compared to 0% in Millersburg.
- The percentage of Hispanic residents is the same in both Tea and Millersburg at 0%.
- The percentage of residents identifying as two or more races is higher in Millersburg at 4%, compared to 2% in Tea.
- The percentage of American Indian residents is the same in both Tea and Millersburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tea | Millersburg |
|---|---|---|
| Mental Health Not Good | 11.3% | 18.5% |
| Physical Health Not Good | 7.7% | 12.5% |
| Depression | 16.6% | 24.9% |
| Smoking | 12.6% | 22.4% |
| Binge Drinking | 21.6% | 18.0% |
| Obesity | 34.5% | 39.2% |
| Disability Percentage | 4.0% | 13.0% |
Health Statistics Comparison: Tea vs Millersburg
- In Millersburg, a higher percentage report poor mental health at 18.5% compared to 11.3% in Tea.
- Higher depression rates are seen in Millersburg at 24.9% versus 16.6% in Tea.
- Millersburg has a higher smoking rate at 22.4% compared to 12.6% in Tea.
- Binge drinking is more common in Tea at 21.6% compared to 18.0% in Millersburg.
- Millersburg has higher obesity rates at 39.2% compared to 34.5% in Tea.
- There is a higher percentage of disabled individuals in Millersburg at 13.0% compared to 4.0% in Tea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tea | Millersburg |
|---|---|---|
| No Schooling | 0.1% (10) | 1.4% (46) |
| High School Diploma | 7.8% (537) | 25.2% (801) |
| Less than High School | 1.6% (108) | 27.2% (864) |
| Bachelor's Degree and Higher | 19.9% (1,378) | 20.3% (644) |
Education Levels Comparison: Tea vs Millersburg
- In Millersburg, a larger percentage of residents lack formal schooling at 1.4% compared to 0.1% in Tea.
- In Millersburg, the rate of residents with high school diplomas is higher at 25.2% compared to 7.8% in Tea.
- The percentage of residents with less than a high school education is higher in Millersburg at 27.2%, compared to 1.6% in Tea.
- In Millersburg, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 19.9% in Tea.
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.