Demographics details for Summerfield, OH vs Marshall, TX
Population Overview
Compare main population characteristics in Summerfield, OH vs Marshall, TX.
| Data | Summerfield | Marshall |
|---|---|---|
| Population | 242 | 23,641 |
| Median Age | 49.8 years | 34.1 years |
| Median Income | $29,412 | $49,162 |
| Married Families | 36.0% | 27.0% |
| Poverty Level | 13% | 17% |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Summerfield vs Marshall
- The population in Marshall is higher at 23,641, compared to 242 in Summerfield.
- Residents in Summerfield have a higher median age of 49.8 years compared to 34.1 years in Marshall.
- Marshall has a higher median income of $49,162, compared to $29,412 in Summerfield.
- A higher percentage of married families is found in Summerfield at 36.0% compared to 27.0% in Marshall.
- The poverty level is higher in Marshall at 17%, compared to 13% in Summerfield.
- Marshall has a higher unemployment rate at 5.1% compared to 3.5% in Summerfield.
Demographics
Demographics Summerfield vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Summerfield | Marshall |
|---|---|---|
| Black | Data is updating | 40 |
| White | 97 | 28 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 20 |
| Two or More Races | Data is updating | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Summerfield vs Marshall
- In Marshall, the percentage of Black residents is higher at 40% compared to 0% in Summerfield.
- Summerfield has a higher percentage of White residents at 97% compared to 28% in Marshall.
- In Marshall, the Asian population stands at 1%, greater than 0% in Summerfield.
- Marshall has a higher percentage of Hispanic residents at 20%, compared to 3% in Summerfield.
- The percentage of residents identifying as two or more races is higher in Marshall at 11%, compared to 0% in Summerfield.
- The percentage of American Indian residents is the same in both Summerfield and Marshall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Summerfield | Marshall |
|---|---|---|
| Mental Health Not Good | 18.1% | 19.2% |
| Physical Health Not Good | 12.3% | 13.8% |
| Depression | 24.2% | 22.7% |
| Smoking | 22.3% | 21.0% |
| Binge Drinking | 17.9% | 16.2% |
| Obesity | 39.2% | 42.0% |
| Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Summerfield vs Marshall
- In Marshall, a higher percentage report poor mental health at 19.2% compared to 18.1% in Summerfield.
- Depression is more prevalent in Summerfield at 24.2% compared to 22.7% in Marshall.
- Smoking is more prevalent in Summerfield at 22.3% compared to 21.0% in Marshall.
- Binge drinking is more common in Summerfield at 17.9% compared to 16.2% in Marshall.
- Marshall has higher obesity rates at 42.0% compared to 39.2% in Summerfield.
- Disability percentages are the same in both Summerfield and Marshall at 17.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Summerfield | Marshall |
|---|---|---|
| No Schooling | 1.2% (3) | 0.8% (195) |
| High School Diploma | 31.4% (76) | 18.7% (4,412) |
| Less than High School | 17.4% (42) | 10.7% (2,527) |
| Bachelor's Degree and Higher | 2.1% (5) | 13.2% (3,127) |
Education Levels Comparison: Summerfield vs Marshall
- A higher percentage of residents in Summerfield have no formal schooling at 1.2% compared to 0.8% in Marshall.
- A higher percentage of residents in Summerfield hold a high school diploma at 31.4% compared to 18.7% in Marshall.
- More residents in Summerfield have less than a high school education at 17.4% compared to 10.7% in Marshall.
- In Marshall, a larger share of residents have a bachelor's degree or higher at 13.2% compared to 2.1% in Summerfield.
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.