Demographics details for Shelton, CT vs Greensburg, PA
Population Overview
Compare main population characteristics in Shelton, CT vs Greensburg, PA.
| Data | Shelton | Greensburg |
|---|---|---|
| Population | 41,897 | 14,715 |
| Median Age | 44.6 years | 36.9 years |
| Median Income | $112,366 | $58,001 |
| Married Families | 46.0% | 34.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 2.8 | 4.1 |
Population Comparison: Shelton vs Greensburg
- In Shelton, the population is higher at 41,897, compared to 14,715 in Greensburg.
- Residents in Shelton have a higher median age of 44.6 years compared to 36.9 years in Greensburg.
- Shelton has a higher median income of $112,366 compared to $58,001 in Greensburg.
- A higher percentage of married families is found in Shelton at 46.0% compared to 34.0% in Greensburg.
- The poverty level is higher in Greensburg at 12%, compared to 5% in Shelton.
- Greensburg has a higher unemployment rate at 4.1% compared to 2.8% in Shelton.
Demographics
Demographics Shelton vs Greensburg provide insight into the diversity of the communities to compare.
| Demographic | Shelton | Greensburg |
|---|---|---|
| Black | 5 | 3 |
| White | 66 | 91 |
| Asian | 9 | 1 |
| Hispanic | 12 | 1 |
| Two or More Races | 7 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Shelton vs Greensburg
- A higher percentage of Black residents are in Shelton at 5% compared to 3% in Greensburg.
- The percentage of White residents is higher in Greensburg at 91% compared to 66% in Shelton.
- The Asian population is larger in Shelton at 9% compared to 1% in Greensburg.
- The Hispanic community is larger in Shelton at 12% compared to 1% in Greensburg.
- More residents identify as two or more races in Shelton at 7% compared to 4% in Greensburg.
- A greater percentage of American Indian residents live in Shelton at 1% compared to 0% in Greensburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shelton | Greensburg |
|---|---|---|
| Mental Health Not Good | 13.8% | 17.9% |
| Physical Health Not Good | 8.4% | 12.4% |
| Depression | 19.1% | 22.9% |
| Smoking | 11.6% | 18.4% |
| Binge Drinking | 18.1% | 18.3% |
| Obesity | 23.3% | 34.2% |
| Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Shelton vs Greensburg
- In Greensburg, a higher percentage report poor mental health at 17.9% compared to 13.8% in Shelton.
- Higher depression rates are seen in Greensburg at 22.9% versus 19.1% in Shelton.
- Greensburg has a higher smoking rate at 18.4% compared to 11.6% in Shelton.
- More residents engage in binge drinking in Greensburg at 18.3% compared to 18.1% in Shelton.
- Greensburg has higher obesity rates at 34.2% compared to 23.3% in Shelton.
- There is a higher percentage of disabled individuals in Greensburg at 16.0% compared to 10.0% in Shelton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Shelton | Greensburg |
|---|---|---|
| No Schooling | 1.0% (429) | 0.1% (16) |
| High School Diploma | 16.3% (6,845) | 17.0% (2,502) |
| Less than High School | 8.2% (3,415) | 5.1% (745) |
| Bachelor's Degree and Higher | 31.9% (13,379) | 26.9% (3,965) |
Education Levels Comparison: Shelton vs Greensburg
- A higher percentage of residents in Shelton have no formal schooling at 1.0% compared to 0.1% in Greensburg.
- In Greensburg, the rate of residents with high school diplomas is higher at 17.0% compared to 16.3% in Shelton.
- More residents in Shelton have less than a high school education at 8.2% compared to 5.1% in Greensburg.
- A higher percentage of residents in Shelton hold a bachelor's degree or higher at 31.9% compared to 26.9% in Greensburg.
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.