Demographics details for Marshall, TX vs Millersburg, OH
Population Overview
Compare main population characteristics in Marshall, TX vs Millersburg, OH.
| Data | Marshall | Millersburg |
|---|---|---|
| Population | 23,641 | 3,180 |
| Median Age | 34.1 years | 38.2 years |
| Median Income | $49,162 | $48,913 |
| Married Families | 27.0% | 40.0% |
| Poverty Level | 17% | 10% |
| Unemployment Rate | 5.1 | 4.5 |
Population Comparison: Marshall vs Millersburg
- In Marshall, the population is higher at 23,641, compared to 3,180 in Millersburg.
- The median age in Millersburg is higher at 38.2 years, compared to 34.1 years in Marshall.
- Marshall has a higher median income of $49,162 compared to $48,913 in Millersburg.
- In Millersburg, the percentage of married families is higher at 40.0%, compared to 27.0% in Marshall.
- Marshall has a higher poverty level at 17% compared to 10% in Millersburg.
- The unemployment rate in Marshall is higher at 5.1%, compared to 4.5% in Millersburg.
Demographics
Demographics Marshall vs Millersburg provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Millersburg |
|---|---|---|
| Black | 40 | 1 |
| White | 28 | 95 |
| Asian | 1 | Data is updating |
| Hispanic | 20 | Data is updating |
| Two or More Races | 11 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marshall vs Millersburg
- A higher percentage of Black residents are in Marshall at 40% compared to 1% in Millersburg.
- The percentage of White residents is higher in Millersburg at 95% compared to 28% in Marshall.
- The Asian population is larger in Marshall at 1% compared to 0% in Millersburg.
- The Hispanic community is larger in Marshall at 20% compared to 0% in Millersburg.
- More residents identify as two or more races in Marshall at 11% compared to 4% in Millersburg.
- The percentage of American Indian residents is the same in both Marshall and Millersburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Millersburg |
|---|---|---|
| Mental Health Not Good | 19.2% | 18.5% |
| Physical Health Not Good | 13.8% | 12.5% |
| Depression | 22.7% | 24.9% |
| Smoking | 21.0% | 22.4% |
| Binge Drinking | 16.2% | 18.0% |
| Obesity | 42.0% | 39.2% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Marshall vs Millersburg
- More residents in Marshall report poor mental health at 19.2% compared to 18.5% in Millersburg.
- Higher depression rates are seen in Millersburg at 24.9% versus 22.7% in Marshall.
- Millersburg has a higher smoking rate at 22.4% compared to 21.0% in Marshall.
- More residents engage in binge drinking in Millersburg at 18.0% compared to 16.2% in Marshall.
- Obesity rates are higher in Marshall at 42.0% compared to 39.2% in Millersburg.
- Disability percentages are higher in Marshall at 17.0% 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 | Marshall | Millersburg |
|---|---|---|
| No Schooling | 0.8% (195) | 1.4% (46) |
| High School Diploma | 18.7% (4,412) | 25.2% (801) |
| Less than High School | 10.7% (2,527) | 27.2% (864) |
| Bachelor's Degree and Higher | 13.2% (3,127) | 20.3% (644) |
Education Levels Comparison: Marshall vs Millersburg
- In Millersburg, a larger percentage of residents lack formal schooling at 1.4% compared to 0.8% in Marshall.
- In Millersburg, the rate of residents with high school diplomas is higher at 25.2% compared to 18.7% in Marshall.
- The percentage of residents with less than a high school education is higher in Millersburg at 27.2%, compared to 10.7% in Marshall.
- In Millersburg, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 13.2% in Marshall.
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.