Demographics details for Sullivan city, TX vs Green, OH
Population Overview
Compare main population characteristics in Sullivan city, TX vs Green, OH.
| Data | Sullivan city | Green |
|---|---|---|
| Population | 3,903 | 27,269 |
| Median Age | 36.4 years | 41.1 years |
| Median Income | $39,067 | $90,419 |
| Married Families | 38.0% | 45.0% |
| Poverty Level | 22% | 4% |
| Unemployment Rate | 4.5 | 4.7 |
Population Comparison: Sullivan city vs Green
- The population in Green is higher at 27,269, compared to 3,903 in Sullivan city.
- The median age in Green is higher at 41.1 years, compared to 36.4 years in Sullivan city.
- Green has a higher median income of $90,419, compared to $39,067 in Sullivan city.
- In Green, the percentage of married families is higher at 45.0%, compared to 38.0% in Sullivan city.
- Sullivan city has a higher poverty level at 22% compared to 4% in Green.
- Green has a higher unemployment rate at 4.7% compared to 4.5% in Sullivan city.
Demographics
Demographics Sullivan city vs Green provide insight into the diversity of the communities to compare.
| Demographic | Sullivan city | Green |
|---|---|---|
| Black | Data is updating | 1 |
| White | -35 | 94 |
| Asian | Data is updating | 1 |
| Hispanic | 100 | 1 |
| Two or More Races | 35 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sullivan city vs Green
- In Green, the percentage of Black residents is higher at 1% compared to 0% in Sullivan city.
- The percentage of White residents is higher in Green at 94% compared to -35% in Sullivan city.
- In Green, the Asian population stands at 1%, greater than 0% in Sullivan city.
- The Hispanic community is larger in Sullivan city at 100% compared to 1% in Green.
- More residents identify as two or more races in Sullivan city at 35% compared to 3% in Green.
- The percentage of American Indian residents is the same in both Sullivan city and Green at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sullivan city | Green |
|---|---|---|
| Mental Health Not Good | 22.3% | 16.6% |
| Physical Health Not Good | 22.3% | 10.5% |
| Depression | 21.9% | 24.7% |
| Smoking | 24.0% | 17.4% |
| Binge Drinking | 13.7% | 19.1% |
| Obesity | 51.2% | 40.2% |
| Disability Percentage | 13.0% | 9.0% |
Health Statistics Comparison: Sullivan city vs Green
- More residents in Sullivan city report poor mental health at 22.3% compared to 16.6% in Green.
- Higher depression rates are seen in Green at 24.7% versus 21.9% in Sullivan city.
- Smoking is more prevalent in Sullivan city at 24.0% compared to 17.4% in Green.
- More residents engage in binge drinking in Green at 19.1% compared to 13.7% in Sullivan city.
- Obesity rates are higher in Sullivan city at 51.2% compared to 40.2% in Green.
- Disability percentages are higher in Sullivan city at 13.0% compared to 9.0% in Green.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sullivan city | Green |
|---|---|---|
| No Schooling | 2.6% (101) | 0.2% (46) |
| High School Diploma | 9.2% (361) | 16.6% (4,514) |
| Less than High School | 61.1% (2,384) | 3.0% (828) |
| Bachelor's Degree and Higher | 4.6% (180) | 29.3% (7,977) |
Education Levels Comparison: Sullivan city vs Green
- A higher percentage of residents in Sullivan city have no formal schooling at 2.6% compared to 0.2% in Green.
- In Green, the rate of residents with high school diplomas is higher at 16.6% compared to 9.2% in Sullivan city.
- More residents in Sullivan city have less than a high school education at 61.1% compared to 3.0% in Green.
- In Green, a larger share of residents have a bachelor's degree or higher at 29.3% compared to 4.6% in Sullivan city.
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.