Demographics details for Loomis, WA vs New london, CT
Population Overview
Compare main population characteristics in Loomis, WA vs New london, CT.
| Data | Loomis | New london |
|---|---|---|
| Population | 98 | 27,980 |
| Median Age | 60.5 years | 35.5 years |
| Median Income | $37,143 | $56,237 |
| Married Families | 39.0% | 24.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 5.3 | 3.6 |
Population Comparison: Loomis vs New london
- The population in New london is higher at 27,980, compared to 98 in Loomis.
- Residents in Loomis have a higher median age of 60.5 years compared to 35.5 years in New london.
- New london has a higher median income of $56,237, compared to $37,143 in Loomis.
- A higher percentage of married families is found in Loomis at 39.0% compared to 24.0% in New london.
- The poverty level is identical in both Loomis and New london at 12%.
- The unemployment rate in Loomis is higher at 5.3%, compared to 3.6% in New london.
Demographics
Demographics Loomis vs New london provide insight into the diversity of the communities to compare.
| Demographic | Loomis | New london |
|---|---|---|
| Black | Data is updating | 17 |
| White | 57 | 41 |
| Asian | Data is updating | 2 |
| Hispanic | 43 | 29 |
| Two or More Races | Data is updating | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Loomis vs New london
- In New london, the percentage of Black residents is higher at 17% compared to 0% in Loomis.
- Loomis has a higher percentage of White residents at 57% compared to 41% in New london.
- In New london, the Asian population stands at 2%, greater than 0% in Loomis.
- The Hispanic community is larger in Loomis at 43% compared to 29% in New london.
- The percentage of residents identifying as two or more races is higher in New london at 11%, compared to 0% in Loomis.
- The percentage of American Indian residents is the same in both Loomis and New london at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Loomis | New london |
|---|---|---|
| Mental Health Not Good | 18.7% | 17.9% |
| Physical Health Not Good | 14.4% | 12.5% |
| Depression | 26.2% | 23.3% |
| Smoking | 18.0% | 19.5% |
| Binge Drinking | 16.9% | 15.2% |
| Obesity | 32.4% | 37.1% |
| Disability Percentage | 6.0% | 14.0% |
Health Statistics Comparison: Loomis vs New london
- More residents in Loomis report poor mental health at 18.7% compared to 17.9% in New london.
- Depression is more prevalent in Loomis at 26.2% compared to 23.3% in New london.
- New london has a higher smoking rate at 19.5% compared to 18.0% in Loomis.
- Binge drinking is more common in Loomis at 16.9% compared to 15.2% in New london.
- New london has higher obesity rates at 37.1% compared to 32.4% in Loomis.
- There is a higher percentage of disabled individuals in New london at 14.0% compared to 6.0% in Loomis.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Loomis | New london |
|---|---|---|
| No Schooling | 4.1% (4) | 1.4% (399) |
| High School Diploma | 21.4% (21) | 16.0% (4,487) |
| Less than High School | 8.2% (8) | 13.7% (3,830) |
| Bachelor's Degree and Higher | 9.2% (9) | 16.9% (4,738) |
Education Levels Comparison: Loomis vs New london
- A higher percentage of residents in Loomis have no formal schooling at 4.1% compared to 1.4% in New london.
- A higher percentage of residents in Loomis hold a high school diploma at 21.4% compared to 16.0% in New london.
- The percentage of residents with less than a high school education is higher in New london at 13.7%, compared to 8.2% in Loomis.
- In New london, a larger share of residents have a bachelor's degree or higher at 16.9% compared to 9.2% in Loomis.
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.