Demographics details for Pana, IL vs South windsor, CT
Population Overview
Compare main population characteristics in Pana, IL vs South windsor, CT.
Data | Pana | South windsor |
---|---|---|
Population | 5,093 | 26,054 |
Median Age | 41.7 years | 42.0 years |
Median Income | $47,763 | $90,964 |
Married Families | 32.0% | 62.0% |
Poverty Level | 10% | 5% |
Unemployment Rate | 5.2 | 2.2 |
Population Comparison: Pana vs South windsor
- The population in South windsor is higher at 26,054, compared to 5,093 in Pana.
- The median age in South windsor is higher at 42.0 years, compared to 41.7 years in Pana.
- South windsor has a higher median income of $90,964, compared to $47,763 in Pana.
- In South windsor, the percentage of married families is higher at 62.0%, compared to 32.0% in Pana.
- Pana has a higher poverty level at 10% compared to 5% in South windsor.
- The unemployment rate in Pana is higher at 5.2%, compared to 2.2% in South windsor.
Demographics
Demographics Pana vs South windsor provide insight into the diversity of the communities to compare.
Demographic | Pana | South windsor |
---|---|---|
Black | Data is updating | 9 |
White | 93 | 85 |
Asian | 1 | 3 |
Hispanic | 3 | 3 |
Two or More Races | 3 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pana vs South windsor
- In South windsor, the percentage of Black residents is higher at 9% compared to 0% in Pana.
- Pana has a higher percentage of White residents at 93% compared to 85% in South windsor.
- In South windsor, the Asian population stands at 3%, greater than 1% in Pana.
- The percentage of Hispanic residents is the same in both Pana and South windsor at 3%.
- More residents identify as two or more races in Pana at 3% compared to 2% in South windsor.
- The percentage of American Indian residents is the same in both Pana and South windsor at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pana | South windsor |
---|---|---|
Mental Health Not Good | 17.9% | Data is updating% |
Physical Health Not Good | 12.5% | Data is updating% |
Depression | 22.8% | Data is updating% |
Smoking | 21.3% | Data is updating% |
Binge Drinking | 17.5% | Data is updating% |
Obesity | 39.1% | Data is updating% |
Disability Percentage | 16.0% | Data is updating% |
Health Statistics Comparison: Pana vs South windsor
- More residents in Pana report poor mental health at 17.9% compared to 0.0% in South windsor.
- Depression is more prevalent in Pana at 22.8% compared to 0.0% in South windsor.
- Smoking is more prevalent in Pana at 21.3% compared to 0.0% in South windsor.
- Binge drinking is more common in Pana at 17.5% compared to 0.0% in South windsor.
- Obesity rates are higher in Pana at 39.1% compared to 0.0% in South windsor.
- Disability percentages are higher in Pana at 16.0% compared to 0.0% in South windsor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pana | South windsor |
---|---|---|
No Schooling | 0.4% (21) | 0.0% (Data is updating) |
High School Diploma | 30.7% (1,563) | 0.0% (Data is updating) |
Less than High School | 17.1% (870) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 11.0% (559) | 0.0% (Data is updating) |
Education Levels Comparison: Pana vs South windsor
- A higher percentage of residents in Pana have no formal schooling at 0.4% compared to 0.0% in South windsor.
- A higher percentage of residents in Pana hold a high school diploma at 30.7% compared to 0.0% in South windsor.
- More residents in Pana have less than a high school education at 17.1% compared to 0.0% in South windsor.
- A higher percentage of residents in Pana hold a bachelor's degree or higher at 11.0% compared to 0.0% in South windsor.
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.