Demographics details for Springfield, KY vs Indiana, PA
Population Overview
Compare main population characteristics in Springfield, KY vs Indiana, PA.
| Data | Springfield | Indiana |
|---|---|---|
| Population | 2,876 | 14,205 |
| Median Age | 36.8 years | 21.8 years |
| Median Income | $48,333 | $40,013 |
| Married Families | 30.0% | 21.0% |
| Poverty Level | 12% | 17% |
| Unemployment Rate | 3.2 | 3.9 |
Population Comparison: Springfield vs Indiana
- The population in Indiana is higher at 14,205, compared to 2,876 in Springfield.
- Residents in Springfield have a higher median age of 36.8 years compared to 21.8 years in Indiana.
- Springfield has a higher median income of $48,333 compared to $40,013 in Indiana.
- A higher percentage of married families is found in Springfield at 30.0% compared to 21.0% in Indiana.
- The poverty level is higher in Indiana at 17%, compared to 12% in Springfield.
- Indiana has a higher unemployment rate at 3.9% compared to 3.2% in Springfield.
Demographics
Demographics Springfield vs Indiana provide insight into the diversity of the communities to compare.
| Demographic | Springfield | Indiana |
|---|---|---|
| Black | 19 | 5 |
| White | 70 | 86 |
| Asian | 1 | 1 |
| Hispanic | 2 | 3 |
| Two or More Races | 8 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Springfield vs Indiana
- A higher percentage of Black residents are in Springfield at 19% compared to 5% in Indiana.
- The percentage of White residents is higher in Indiana at 86% compared to 70% in Springfield.
- Both Springfield and Indiana have the same percentage of Asian residents at 1%.
- Indiana has a higher percentage of Hispanic residents at 3%, compared to 2% in Springfield.
- More residents identify as two or more races in Springfield at 8% compared to 5% in Indiana.
- The percentage of American Indian residents is the same in both Springfield and Indiana at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Springfield | Indiana |
|---|---|---|
| Mental Health Not Good | 18.5% | 18.4% |
| Physical Health Not Good | 13.6% | 12.9% |
| Depression | 26.3% | 24.5% |
| Smoking | 20.2% | 20.1% |
| Binge Drinking | 14.2% | 17.1% |
| Obesity | 44.2% | 41.2% |
| Disability Percentage | 19.0% | 12.0% |
Health Statistics Comparison: Springfield vs Indiana
- More residents in Springfield report poor mental health at 18.5% compared to 18.4% in Indiana.
- Depression is more prevalent in Springfield at 26.3% compared to 24.5% in Indiana.
- Smoking is more prevalent in Springfield at 20.2% compared to 20.1% in Indiana.
- More residents engage in binge drinking in Indiana at 17.1% compared to 14.2% in Springfield.
- Obesity rates are higher in Springfield at 44.2% compared to 41.2% in Indiana.
- Disability percentages are higher in Springfield at 19.0% compared to 12.0% in Indiana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Springfield | Indiana |
|---|---|---|
| No Schooling | 0.6% (16) | 0.0% (3) |
| High School Diploma | 28.3% (815) | 7.7% (1,089) |
| Less than High School | 8.4% (242) | 3.2% (454) |
| Bachelor's Degree and Higher | 15.3% (440) | 19.7% (2,801) |
Education Levels Comparison: Springfield vs Indiana
- A higher percentage of residents in Springfield have no formal schooling at 0.6% compared to 0.0% in Indiana.
- A higher percentage of residents in Springfield hold a high school diploma at 28.3% compared to 7.7% in Indiana.
- More residents in Springfield have less than a high school education at 8.4% compared to 3.2% in Indiana.
- In Indiana, a larger share of residents have a bachelor's degree or higher at 19.7% compared to 15.3% 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.