Demographics details for Stephens city, VA vs Marion, OH
Population Overview
Compare main population characteristics in Stephens city, VA vs Marion, OH.
Data | Stephens city | Marion |
---|---|---|
Population | 2,096 | 35,327 |
Median Age | 34.1 years | 37.7 years |
Median Income | $90,588 | $44,879 |
Married Families | 38.0% | 29.0% |
Poverty Level | 5% | 16% |
Unemployment Rate | 3.5 | 6.0 |
Population Comparison: Stephens city vs Marion
- The population in Marion is higher at 35,327, compared to 2,096 in Stephens city.
- The median age in Marion is higher at 37.7 years, compared to 34.1 years in Stephens city.
- Stephens city has a higher median income of $90,588 compared to $44,879 in Marion.
- A higher percentage of married families is found in Stephens city at 38.0% compared to 29.0% in Marion.
- The poverty level is higher in Marion at 16%, compared to 5% in Stephens city.
- Marion has a higher unemployment rate at 6.0% compared to 3.5% in Stephens city.
Demographics
Demographics Stephens city vs Marion provide insight into the diversity of the communities to compare.
Demographic | Stephens city | Marion |
---|---|---|
Black | 8 | 9 |
White | 50 | 79 |
Asian | 1 | Data is updating |
Hispanic | 25 | 5 |
Two or More Races | 16 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Stephens city vs Marion
- In Marion, the percentage of Black residents is higher at 9% compared to 8% in Stephens city.
- The percentage of White residents is higher in Marion at 79% compared to 50% in Stephens city.
- The Asian population is larger in Stephens city at 1% compared to 0% in Marion.
- The Hispanic community is larger in Stephens city at 25% compared to 5% in Marion.
- More residents identify as two or more races in Stephens city at 16% compared to 7% in Marion.
- The percentage of American Indian residents is the same in both Stephens city and Marion at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Stephens city | Marion |
---|---|---|
Mental Health Not Good | 15.8% | 19.2% |
Physical Health Not Good | 9.7% | 14.7% |
Depression | 23.1% | 24.8% |
Smoking | 14.7% | 27.8% |
Binge Drinking | 18.6% | 17.6% |
Obesity | 32.8% | 48.6% |
Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: Stephens city vs Marion
- In Marion, a higher percentage report poor mental health at 19.2% compared to 15.8% in Stephens city.
- Higher depression rates are seen in Marion at 24.8% versus 23.1% in Stephens city.
- Marion has a higher smoking rate at 27.8% compared to 14.7% in Stephens city.
- Binge drinking is more common in Stephens city at 18.6% compared to 17.6% in Marion.
- Marion has higher obesity rates at 48.6% compared to 32.8% in Stephens city.
- There is a higher percentage of disabled individuals in Marion at 17.0% compared to 12.0% in Stephens city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Stephens city | Marion |
---|---|---|
No Schooling | 0.1% (3) | 1.1% (383) |
High School Diploma | 13.2% (276) | 25.9% (9,142) |
Less than High School | 13.5% (282) | 16.3% (5,747) |
Bachelor's Degree and Higher | 19.3% (405) | 7.2% (2,557) |
Education Levels Comparison: Stephens city vs Marion
- In Marion, a larger percentage of residents lack formal schooling at 1.1% compared to 0.1% in Stephens city.
- In Marion, the rate of residents with high school diplomas is higher at 25.9% compared to 13.2% in Stephens city.
- The percentage of residents with less than a high school education is higher in Marion at 16.3%, compared to 13.5% in Stephens city.
- A higher percentage of residents in Stephens city hold a bachelor's degree or higher at 19.3% compared to 7.2% in Marion.
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.