Demographics details for Sandy, UT vs New london, CT
Population Overview
Compare main population characteristics in Sandy, UT vs New london, CT.
| Data | Sandy | New london |
|---|---|---|
| Population | 93,022 | 27,980 |
| Median Age | 36.9 years | 35.5 years |
| Median Income | $108,165 | $56,237 |
| Married Families | 47.0% | 24.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 3.6 | 3.6 |
Population Comparison: Sandy vs New london
- In Sandy, the population is higher at 93,022, compared to 27,980 in New london.
- Residents in Sandy have a higher median age of 36.9 years compared to 35.5 years in New london.
- Sandy has a higher median income of $108,165 compared to $56,237 in New london.
- A higher percentage of married families is found in Sandy at 47.0% compared to 24.0% in New london.
- The poverty level is higher in New london at 12%, compared to 6% in Sandy.
- The unemployment rate is the same in both Sandy and New london at 3.6%.
Demographics
Demographics Sandy vs New london provide insight into the diversity of the communities to compare.
| Demographic | Sandy | New london |
|---|---|---|
| Black | 1 | 17 |
| White | 77 | 41 |
| Asian | 4 | 2 |
| Hispanic | 11 | 29 |
| Two or More Races | 6 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Sandy vs New london
- In New london, the percentage of Black residents is higher at 17% compared to 1% in Sandy.
- Sandy has a higher percentage of White residents at 77% compared to 41% in New london.
- The Asian population is larger in Sandy at 4% compared to 2% in New london.
- New london has a higher percentage of Hispanic residents at 29%, compared to 11% in Sandy.
- The percentage of residents identifying as two or more races is higher in New london at 11%, compared to 6% in Sandy.
- A greater percentage of American Indian residents live in Sandy at 1% compared to 0% in New london.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sandy | New london |
|---|---|---|
| Mental Health Not Good | 17.1% | 17.9% |
| Physical Health Not Good | 9.4% | 12.5% |
| Depression | 26.7% | 23.3% |
| Smoking | 7.8% | 19.5% |
| Binge Drinking | 16.4% | 15.2% |
| Obesity | 29.0% | 37.1% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Sandy vs New london
- In New london, a higher percentage report poor mental health at 17.9% compared to 17.1% in Sandy.
- Depression is more prevalent in Sandy at 26.7% compared to 23.3% in New london.
- New london has a higher smoking rate at 19.5% compared to 7.8% in Sandy.
- Binge drinking is more common in Sandy at 16.4% compared to 15.2% in New london.
- New london has higher obesity rates at 37.1% compared to 29.0% in Sandy.
- There is a higher percentage of disabled individuals in New london at 14.0% compared to 9.0% in Sandy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sandy | New london |
|---|---|---|
| No Schooling | 0.5% (424) | 1.4% (399) |
| High School Diploma | 10.9% (10,176) | 16.0% (4,487) |
| Less than High School | 5.7% (5,337) | 13.7% (3,830) |
| Bachelor's Degree and Higher | 30.5% (28,394) | 16.9% (4,738) |
Education Levels Comparison: Sandy vs New london
- In New london, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Sandy.
- In New london, the rate of residents with high school diplomas is higher at 16.0% compared to 10.9% in Sandy.
- The percentage of residents with less than a high school education is higher in New london at 13.7%, compared to 5.7% in Sandy.
- A higher percentage of residents in Sandy hold a bachelor's degree or higher at 30.5% compared to 16.9% in New london.
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.