Demographics details for Shelton, CT vs Springfield, KY
Population Overview
Compare main population characteristics in Shelton, CT vs Springfield, KY.
| Data | Shelton | Springfield |
|---|---|---|
| Population | 41,897 | 2,876 |
| Median Age | 44.6 years | 36.8 years |
| Median Income | $112,366 | $48,333 |
| Married Families | 46.0% | 30.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 2.8 | 3.2 |
Population Comparison: Shelton vs Springfield
- In Shelton, the population is higher at 41,897, compared to 2,876 in Springfield.
- Residents in Shelton have a higher median age of 44.6 years compared to 36.8 years in Springfield.
- Shelton has a higher median income of $112,366 compared to $48,333 in Springfield.
- A higher percentage of married families is found in Shelton at 46.0% compared to 30.0% in Springfield.
- The poverty level is higher in Springfield at 12%, compared to 5% in Shelton.
- Springfield has a higher unemployment rate at 3.2% compared to 2.8% in Shelton.
Demographics
Demographics Shelton vs Springfield provide insight into the diversity of the communities to compare.
| Demographic | Shelton | Springfield |
|---|---|---|
| Black | 5 | 19 |
| White | 66 | 70 |
| Asian | 9 | 1 |
| Hispanic | 12 | 2 |
| Two or More Races | 7 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Shelton vs Springfield
- In Springfield, the percentage of Black residents is higher at 19% compared to 5% in Shelton.
- The percentage of White residents is higher in Springfield at 70% compared to 66% in Shelton.
- The Asian population is larger in Shelton at 9% compared to 1% in Springfield.
- The Hispanic community is larger in Shelton at 12% compared to 2% in Springfield.
- The percentage of residents identifying as two or more races is higher in Springfield at 8%, compared to 7% in Shelton.
- A greater percentage of American Indian residents live in Shelton at 1% compared to 0% in Springfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shelton | Springfield |
|---|---|---|
| Mental Health Not Good | 13.8% | 18.5% |
| Physical Health Not Good | 8.4% | 13.6% |
| Depression | 19.1% | 26.3% |
| Smoking | 11.6% | 20.2% |
| Binge Drinking | 18.1% | 14.2% |
| Obesity | 23.3% | 44.2% |
| Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Shelton vs Springfield
- In Springfield, a higher percentage report poor mental health at 18.5% compared to 13.8% in Shelton.
- Higher depression rates are seen in Springfield at 26.3% versus 19.1% in Shelton.
- Springfield has a higher smoking rate at 20.2% compared to 11.6% in Shelton.
- Binge drinking is more common in Shelton at 18.1% compared to 14.2% in Springfield.
- Springfield has higher obesity rates at 44.2% compared to 23.3% in Shelton.
- There is a higher percentage of disabled individuals in Springfield at 19.0% 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 | Springfield |
|---|---|---|
| No Schooling | 1.0% (429) | 0.6% (16) |
| High School Diploma | 16.3% (6,845) | 28.3% (815) |
| Less than High School | 8.2% (3,415) | 8.4% (242) |
| Bachelor's Degree and Higher | 31.9% (13,379) | 15.3% (440) |
Education Levels Comparison: Shelton vs Springfield
- A higher percentage of residents in Shelton have no formal schooling at 1.0% compared to 0.6% in Springfield.
- In Springfield, the rate of residents with high school diplomas is higher at 28.3% compared to 16.3% in Shelton.
- The percentage of residents with less than a high school education is higher in Springfield at 8.4%, compared to 8.2% in Shelton.
- A higher percentage of residents in Shelton hold a bachelor's degree or higher at 31.9% 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.