Demographics details for Rising sun, IN vs Spring city, PA
Population Overview
Compare main population characteristics in Rising sun, IN vs Spring city, PA.
Data | Rising sun | Spring city |
---|---|---|
Population | 2,277 | 3,495 |
Median Age | 47.6 years | 36.7 years |
Median Income | $46,214 | $70,181 |
Married Families | 34.0% | 30.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Rising sun vs Spring city
- The population in Spring city is higher at 3,495, compared to 2,277 in Rising sun.
- Residents in Rising sun have a higher median age of 47.6 years compared to 36.7 years in Spring city.
- Spring city has a higher median income of $70,181, compared to $46,214 in Rising sun.
- A higher percentage of married families is found in Rising sun at 34.0% compared to 30.0% in Spring city.
- Rising sun has a higher poverty level at 12% compared to 5% in Spring city.
- The unemployment rate in Rising sun is higher at 3.5%, compared to 2.5% in Spring city.
Demographics
Demographics Rising sun vs Spring city provide insight into the diversity of the communities to compare.
Demographic | Rising sun | Spring city |
---|---|---|
Black | 1 | 4 |
White | 93 | 85 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 6 |
Two or More Races | 5 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Rising sun vs Spring city
- In Spring city, the percentage of Black residents is higher at 4% compared to 1% in Rising sun.
- Rising sun has a higher percentage of White residents at 93% compared to 85% in Spring city.
- In Spring city, the Asian population stands at 2%, greater than 0% in Rising sun.
- Spring city has a higher percentage of Hispanic residents at 6%, compared to 0% in Rising sun.
- More residents identify as two or more races in Rising sun at 5% compared to 3% in Spring city.
- A greater percentage of American Indian residents live in Rising sun at 1% compared to 0% in Spring city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Rising sun | Spring city |
---|---|---|
Mental Health Not Good | 17.7% | 15.8% |
Physical Health Not Good | 11.8% | 10.8% |
Depression | 26.1% | 23.0% |
Smoking | 20.6% | 16.9% |
Binge Drinking | 17.7% | 18.9% |
Obesity | 37.1% | 34.8% |
Disability Percentage | 21.0% | 20.0% |
Health Statistics Comparison: Rising sun vs Spring city
- More residents in Rising sun report poor mental health at 17.7% compared to 15.8% in Spring city.
- Depression is more prevalent in Rising sun at 26.1% compared to 23.0% in Spring city.
- Smoking is more prevalent in Rising sun at 20.6% compared to 16.9% in Spring city.
- More residents engage in binge drinking in Spring city at 18.9% compared to 17.7% in Rising sun.
- Obesity rates are higher in Rising sun at 37.1% compared to 34.8% in Spring city.
- Disability percentages are higher in Rising sun at 21.0% compared to 20.0% in Spring city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Rising sun | Spring city |
---|---|---|
No Schooling | 0.2% (5) | 1.0% (34) |
High School Diploma | 30.0% (683) | 17.5% (613) |
Less than High School | 11.9% (271) | 8.8% (309) |
Bachelor's Degree and Higher | 11.0% (251) | 28.0% (980) |
Education Levels Comparison: Rising sun vs Spring city
- In Spring city, a larger percentage of residents lack formal schooling at 1.0% compared to 0.2% in Rising sun.
- A higher percentage of residents in Rising sun hold a high school diploma at 30.0% compared to 17.5% in Spring city.
- More residents in Rising sun have less than a high school education at 11.9% compared to 8.8% in Spring city.
- In Spring city, a larger share of residents have a bachelor's degree or higher at 28.0% compared to 11.0% in Rising sun.
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.