Demographics details for Springfield, MO vs Lima, OH
Population Overview
Compare main population characteristics in Springfield, MO vs Lima, OH.
| Data | Springfield | Lima |
|---|---|---|
| Population | 170,067 | 34,977 |
| Median Age | 33.3 years | 34.7 years |
| Median Income | $43,450 | $41,824 |
| Married Families | 32.0% | 23.0% |
| Poverty Level | 17% | 20% |
| Unemployment Rate | 4.0 | 6.9 |
Population Comparison: Springfield vs Lima
- In Springfield, the population is higher at 170,067, compared to 34,977 in Lima.
- The median age in Lima is higher at 34.7 years, compared to 33.3 years in Springfield.
- Springfield has a higher median income of $43,450 compared to $41,824 in Lima.
- A higher percentage of married families is found in Springfield at 32.0% compared to 23.0% in Lima.
- The poverty level is higher in Lima at 20%, compared to 17% in Springfield.
- Lima has a higher unemployment rate at 6.9% compared to 4.0% in Springfield.
Demographics
Demographics Springfield vs Lima provide insight into the diversity of the communities to compare.
| Demographic | Springfield | Lima |
|---|---|---|
| Black | 4 | 24 |
| White | 83 | 62 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 5 |
| Two or More Races | 6 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Springfield vs Lima
- In Lima, the percentage of Black residents is higher at 24% compared to 4% in Springfield.
- Springfield has a higher percentage of White residents at 83% compared to 62% in Lima.
- The Asian population is larger in Springfield at 2% compared to 0% in Lima.
- The percentage of Hispanic residents is the same in both Springfield and Lima at 5%.
- The percentage of residents identifying as two or more races is higher in Lima at 9%, compared to 6% in Springfield.
- The percentage of American Indian residents is the same in both Springfield and Lima at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Springfield | Lima |
|---|---|---|
| Mental Health Not Good | 19.8% | 19.6% |
| Physical Health Not Good | 14.1% | 15.0% |
| Depression | 27.3% | 25.0% |
| Smoking | 21.6% | 27.2% |
| Binge Drinking | 16.5% | 17.3% |
| Obesity | 35.8% | 47.4% |
| Disability Percentage | 16.0% | 19.0% |
Health Statistics Comparison: Springfield vs Lima
- More residents in Springfield report poor mental health at 19.8% compared to 19.6% in Lima.
- Depression is more prevalent in Springfield at 27.3% compared to 25.0% in Lima.
- Lima has a higher smoking rate at 27.2% compared to 21.6% in Springfield.
- More residents engage in binge drinking in Lima at 17.3% compared to 16.5% in Springfield.
- Lima has higher obesity rates at 47.4% compared to 35.8% in Springfield.
- There is a higher percentage of disabled individuals in Lima at 19.0% compared to 16.0% in Springfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Springfield | Lima |
|---|---|---|
| No Schooling | 0.6% (1,094) | 0.7% (247) |
| High School Diploma | 14.7% (24,915) | 22.7% (7,927) |
| Less than High School | 9.6% (16,273) | 12.9% (4,523) |
| Bachelor's Degree and Higher | 18.9% (32,189) | 7.0% (2,437) |
Education Levels Comparison: Springfield vs Lima
- In Lima, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Springfield.
- In Lima, the rate of residents with high school diplomas is higher at 22.7% compared to 14.7% in Springfield.
- The percentage of residents with less than a high school education is higher in Lima at 12.9%, compared to 9.6% in Springfield.
- A higher percentage of residents in Springfield hold a bachelor's degree or higher at 18.9% compared to 7.0% in Lima.
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.