Demographics details for Springfield, MO vs Tipp city, OH
Population Overview
Compare main population characteristics in Springfield, MO vs Tipp city, OH.
| Data | Springfield | Tipp city |
|---|---|---|
| Population | 170,067 | 10,424 |
| Median Age | 33.3 years | 40.1 years |
| Median Income | $43,450 | $74,178 |
| Married Families | 32.0% | 46.0% |
| Poverty Level | 17% | 5% |
| Unemployment Rate | 4.0 | 3.2 |
Population Comparison: Springfield vs Tipp city
- In Springfield, the population is higher at 170,067, compared to 10,424 in Tipp city.
- The median age in Tipp city is higher at 40.1 years, compared to 33.3 years in Springfield.
- Tipp city has a higher median income of $74,178, compared to $43,450 in Springfield.
- In Tipp city, the percentage of married families is higher at 46.0%, compared to 32.0% in Springfield.
- Springfield has a higher poverty level at 17% compared to 5% in Tipp city.
- The unemployment rate in Springfield is higher at 4.0%, compared to 3.2% in Tipp city.
Demographics
Demographics Springfield vs Tipp city provide insight into the diversity of the communities to compare.
| Demographic | Springfield | Tipp city |
|---|---|---|
| Black | 4 | 1 |
| White | 83 | 92 |
| Asian | 2 | 2 |
| Hispanic | 5 | 1 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Springfield vs Tipp city
- A higher percentage of Black residents are in Springfield at 4% compared to 1% in Tipp city.
- The percentage of White residents is higher in Tipp city at 92% compared to 83% in Springfield.
- Both Springfield and Tipp city have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Springfield at 5% compared to 1% in Tipp city.
- More residents identify as two or more races in Springfield at 6% compared to 4% in Tipp city.
- The percentage of American Indian residents is the same in both Springfield and Tipp city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Springfield | Tipp city |
|---|---|---|
| Mental Health Not Good | 19.8% | 15.4% |
| Physical Health Not Good | 14.1% | 9.5% |
| Depression | 27.3% | 21.5% |
| Smoking | 21.6% | 15.4% |
| Binge Drinking | 16.5% | 19.2% |
| Obesity | 35.8% | 36.7% |
| Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Springfield vs Tipp city
- More residents in Springfield report poor mental health at 19.8% compared to 15.4% in Tipp city.
- Depression is more prevalent in Springfield at 27.3% compared to 21.5% in Tipp city.
- Smoking is more prevalent in Springfield at 21.6% compared to 15.4% in Tipp city.
- More residents engage in binge drinking in Tipp city at 19.2% compared to 16.5% in Springfield.
- Tipp city has higher obesity rates at 36.7% compared to 35.8% in Springfield.
- Disability percentages are higher in Springfield at 16.0% 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 | Springfield | Tipp city |
|---|---|---|
| No Schooling | 0.6% (1,094) | 0.6% (61) |
| High School Diploma | 14.7% (24,915) | 15.5% (1,616) |
| Less than High School | 9.6% (16,273) | 6.0% (624) |
| Bachelor's Degree and Higher | 18.9% (32,189) | 23.6% (2,455) |
Education Levels Comparison: Springfield vs Tipp city
- The percentage of residents with no formal schooling is the same in both Springfield and Tipp city at 0.6%.
- In Tipp city, the rate of residents with high school diplomas is higher at 15.5% compared to 14.7% in Springfield.
- More residents in Springfield have less than a high school education at 9.6% 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 18.9% in Springfield.
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.