Demographics details for New london, MN vs Gilbert, AZ
Population Overview
Compare main population characteristics in New london, MN vs Gilbert, AZ.
| Data | New london | Gilbert |
|---|---|---|
| Population | 1,282 | 275,346 |
| Median Age | 37.3 years | 35.4 years |
| Median Income | $67,105 | $115,179 |
| Married Families | 36.0% | 42.0% |
| Poverty Level | 7% | 6% |
| Unemployment Rate | 3.1 | 3.0 |
Population Comparison: New london vs Gilbert
- The population in Gilbert is higher at 275,346, compared to 1,282 in New london.
- Residents in New london have a higher median age of 37.3 years compared to 35.4 years in Gilbert.
- Gilbert has a higher median income of $115,179, compared to $67,105 in New london.
- In Gilbert, the percentage of married families is higher at 42.0%, compared to 36.0% in New london.
- New london has a higher poverty level at 7% compared to 6% in Gilbert.
- The unemployment rate in New london is higher at 3.1%, compared to 3.0% in Gilbert.
Demographics
Demographics New london vs Gilbert provide insight into the diversity of the communities to compare.
| Demographic | New london | Gilbert |
|---|---|---|
| Black | Data is updating | 4 |
| White | 89 | 62 |
| Asian | Data is updating | 6 |
| Hispanic | 4 | 17 |
| Two or More Races | 7 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: New london vs Gilbert
- In Gilbert, the percentage of Black residents is higher at 4% compared to 0% in New london.
- New london has a higher percentage of White residents at 89% compared to 62% in Gilbert.
- In Gilbert, the Asian population stands at 6%, greater than 0% in New london.
- Gilbert has a higher percentage of Hispanic residents at 17%, compared to 4% in New london.
- The percentage of residents identifying as two or more races is higher in Gilbert at 10%, compared to 7% in New london.
- In Gilbert, the percentage of American Indian residents is higher at 1%, compared to 0% in New london.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New london | Gilbert |
|---|---|---|
| Mental Health Not Good | 14.6% | 15.2% |
| Physical Health Not Good | 8.9% | 8.4% |
| Depression | 23.0% | 19.0% |
| Smoking | 16.1% | 11.3% |
| Binge Drinking | 20.5% | 19.1% |
| Obesity | 34.3% | 27.2% |
| Disability Percentage | 18.0% | 7.0% |
Health Statistics Comparison: New london vs Gilbert
- In Gilbert, a higher percentage report poor mental health at 15.2% compared to 14.6% in New london.
- Depression is more prevalent in New london at 23.0% compared to 19.0% in Gilbert.
- Smoking is more prevalent in New london at 16.1% compared to 11.3% in Gilbert.
- Binge drinking is more common in New london at 20.5% compared to 19.1% in Gilbert.
- Obesity rates are higher in New london at 34.3% compared to 27.2% in Gilbert.
- Disability percentages are higher in New london at 18.0% compared to 7.0% in Gilbert.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New london | Gilbert |
|---|---|---|
| No Schooling | 0.5% (6) | 0.5% (1,279) |
| High School Diploma | 15.1% (193) | 8.1% (22,388) |
| Less than High School | 10.6% (136) | 4.0% (10,945) |
| Bachelor's Degree and Higher | 21.6% (277) | 28.4% (78,297) |
Education Levels Comparison: New london vs Gilbert
- The percentage of residents with no formal schooling is the same in both New london and Gilbert at 0.5%.
- A higher percentage of residents in New london hold a high school diploma at 15.1% compared to 8.1% in Gilbert.
- More residents in New london have less than a high school education at 10.6% compared to 4.0% in Gilbert.
- In Gilbert, a larger share of residents have a bachelor's degree or higher at 28.4% compared to 21.6% 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.