Demographics details for Webster, SD vs Tipp city, OH
Population Overview
Compare main population characteristics in Webster, SD vs Tipp city, OH.
| Data | Webster | Tipp city |
|---|---|---|
| Population | 1,714 | 10,424 |
| Median Age | 42.8 years | 40.1 years |
| Median Income | $50,500 | $74,178 |
| Married Families | 34.0% | 46.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Webster vs Tipp city
- The population in Tipp city is higher at 10,424, compared to 1,714 in Webster.
- Residents in Webster have a higher median age of 42.8 years compared to 40.1 years in Tipp city.
- Tipp city has a higher median income of $74,178, compared to $50,500 in Webster.
- In Tipp city, the percentage of married families is higher at 46.0%, compared to 34.0% in Webster.
- Webster has a higher poverty level at 9% compared to 5% in Tipp city.
- The unemployment rate is the same in both Webster and Tipp city at 3.2%.
Demographics
Demographics Webster vs Tipp city provide insight into the diversity of the communities to compare.
| Demographic | Webster | Tipp city |
|---|---|---|
| Black | Data is updating | 1 |
| White | 94 | 92 |
| Asian | Data is updating | 2 |
| Hispanic | 3 | 1 |
| Two or More Races | 1 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Webster vs Tipp city
- In Tipp city, the percentage of Black residents is higher at 1% compared to 0% in Webster.
- Webster has a higher percentage of White residents at 94% compared to 92% in Tipp city.
- In Tipp city, the Asian population stands at 2%, greater than 0% in Webster.
- The Hispanic community is larger in Webster at 3% compared to 1% in Tipp city.
- The percentage of residents identifying as two or more races is higher in Tipp city at 4%, compared to 1% in Webster.
- A greater percentage of American Indian residents live in Webster at 2% compared to 0% in Tipp city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Webster | Tipp city |
|---|---|---|
| Mental Health Not Good | 14.7% | 15.4% |
| Physical Health Not Good | 10.6% | 9.5% |
| Depression | 18.7% | 21.5% |
| Smoking | 20.1% | 15.4% |
| Binge Drinking | 20.1% | 19.2% |
| Obesity | 39.0% | 36.7% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Webster vs Tipp city
- In Tipp city, a higher percentage report poor mental health at 15.4% compared to 14.7% in Webster.
- Higher depression rates are seen in Tipp city at 21.5% versus 18.7% in Webster.
- Smoking is more prevalent in Webster at 20.1% compared to 15.4% in Tipp city.
- Binge drinking is more common in Webster at 20.1% compared to 19.2% in Tipp city.
- Obesity rates are higher in Webster at 39.0% compared to 36.7% in Tipp city.
- Disability percentages are higher in Webster at 14.0% 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 | Webster | Tipp city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (61) |
| High School Diploma | 21.9% (375) | 15.5% (1,616) |
| Less than High School | 12.6% (216) | 6.0% (624) |
| Bachelor's Degree and Higher | 14.8% (253) | 23.6% (2,455) |
Education Levels Comparison: Webster vs Tipp city
- In Tipp city, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Webster.
- A higher percentage of residents in Webster hold a high school diploma at 21.9% compared to 15.5% in Tipp city.
- More residents in Webster have less than a high school education at 12.6% 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 14.8% in Webster.
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.