Demographics details for Marshall, AR vs Tipp city, OH
Population Overview
Compare main population characteristics in Marshall, AR vs Tipp city, OH.
| Data | Marshall | Tipp city |
|---|---|---|
| Population | 1,339 | 10,424 |
| Median Age | 52.3 years | 40.1 years |
| Median Income | $28,290 | $74,178 |
| Married Families | 33.0% | 46.0% |
| Poverty Level | 16% | 5% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Marshall vs Tipp city
- The population in Tipp city is higher at 10,424, compared to 1,339 in Marshall.
- Residents in Marshall have a higher median age of 52.3 years compared to 40.1 years in Tipp city.
- Tipp city has a higher median income of $74,178, compared to $28,290 in Marshall.
- In Tipp city, the percentage of married families is higher at 46.0%, compared to 33.0% in Marshall.
- Marshall has a higher poverty level at 16% compared to 5% in Tipp city.
- The unemployment rate in Marshall is higher at 4.2%, compared to 3.2% in Tipp city.
Demographics
Demographics Marshall vs Tipp city provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Tipp city |
|---|---|---|
| Black | Data is updating | 1 |
| White | 84 | 92 |
| Asian | Data is updating | 2 |
| Hispanic | 3 | 1 |
| Two or More Races | 12 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Marshall vs Tipp city
- In Tipp city, the percentage of Black residents is higher at 1% compared to 0% in Marshall.
- The percentage of White residents is higher in Tipp city at 92% compared to 84% in Marshall.
- In Tipp city, the Asian population stands at 2%, greater than 0% in Marshall.
- The Hispanic community is larger in Marshall at 3% compared to 1% in Tipp city.
- More residents identify as two or more races in Marshall at 12% compared to 4% in Tipp city.
- A greater percentage of American Indian residents live in Marshall at 1% compared to 0% in Tipp city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Tipp city |
|---|---|---|
| Mental Health Not Good | 21.7% | 15.4% |
| Physical Health Not Good | 16.2% | 9.5% |
| Depression | 29.8% | 21.5% |
| Smoking | 27.2% | 15.4% |
| Binge Drinking | 14.7% | 19.2% |
| Obesity | 39.2% | 36.7% |
| Disability Percentage | 30.0% | 11.0% |
Health Statistics Comparison: Marshall vs Tipp city
- More residents in Marshall report poor mental health at 21.7% compared to 15.4% in Tipp city.
- Depression is more prevalent in Marshall at 29.8% compared to 21.5% in Tipp city.
- Smoking is more prevalent in Marshall at 27.2% compared to 15.4% in Tipp city.
- More residents engage in binge drinking in Tipp city at 19.2% compared to 14.7% in Marshall.
- Obesity rates are higher in Marshall at 39.2% compared to 36.7% in Tipp city.
- Disability percentages are higher in Marshall at 30.0% compared to 11.0% in Tipp city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | Tipp city |
|---|---|---|
| No Schooling | 0.9% (12) | 0.6% (61) |
| High School Diploma | 27.9% (373) | 15.5% (1,616) |
| Less than High School | 32.4% (434) | 6.0% (624) |
| Bachelor's Degree and Higher | 11.7% (156) | 23.6% (2,455) |
Education Levels Comparison: Marshall vs Tipp city
- A higher percentage of residents in Marshall have no formal schooling at 0.9% compared to 0.6% in Tipp city.
- A higher percentage of residents in Marshall hold a high school diploma at 27.9% compared to 15.5% in Tipp city.
- More residents in Marshall have less than a high school education at 32.4% compared to 6.0% in Tipp city.
- In Tipp city, a larger share of residents have a bachelor's degree or higher at 23.6% compared to 11.7% 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.