Demographics details for New london, CT vs Ashland, KS
Population Overview
Compare main population characteristics in New london, CT vs Ashland, KS.
| Data | New london | Ashland |
|---|---|---|
| Population | 27,980 | 759 |
| Median Age | 35.5 years | 50.1 years |
| Median Income | $56,237 | $60,179 |
| Married Families | 24.0% | 42.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.6 | 3.2 |
Population Comparison: New london vs Ashland
- In New london, the population is higher at 27,980, compared to 759 in Ashland.
- The median age in Ashland is higher at 50.1 years, compared to 35.5 years in New london.
- Ashland has a higher median income of $60,179, compared to $56,237 in New london.
- In Ashland, the percentage of married families is higher at 42.0%, compared to 24.0% in New london.
- New london has a higher poverty level at 12% compared to 0% in Ashland.
- The unemployment rate in New london is higher at 3.6%, compared to 3.2% in Ashland.
Demographics
Demographics New london vs Ashland provide insight into the diversity of the communities to compare.
| Demographic | New london | Ashland |
|---|---|---|
| Black | 17 | Data is updating |
| White | 41 | 79 |
| Asian | 2 | Data is updating |
| Hispanic | 29 | 6 |
| Two or More Races | 11 | 9 |
| American Indian | Data is updating | 6 |
Demographics Comparison: New london vs Ashland
- A higher percentage of Black residents are in New london at 17% compared to 0% in Ashland.
- The percentage of White residents is higher in Ashland at 79% compared to 41% in New london.
- The Asian population is larger in New london at 2% compared to 0% in Ashland.
- The Hispanic community is larger in New london at 29% compared to 6% in Ashland.
- More residents identify as two or more races in New london at 11% compared to 9% in Ashland.
- In Ashland, the percentage of American Indian residents is higher at 6%, compared to 0% in New london.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New london | Ashland |
|---|---|---|
| Mental Health Not Good | 17.9% | 15.7% |
| Physical Health Not Good | 12.5% | 10.0% |
| Depression | 23.3% | 21.0% |
| Smoking | 19.5% | 17.4% |
| Binge Drinking | 15.2% | 19.5% |
| Obesity | 37.1% | 39.3% |
| Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: New london vs Ashland
- More residents in New london report poor mental health at 17.9% compared to 15.7% in Ashland.
- Depression is more prevalent in New london at 23.3% compared to 21.0% in Ashland.
- Smoking is more prevalent in New london at 19.5% compared to 17.4% in Ashland.
- More residents engage in binge drinking in Ashland at 19.5% compared to 15.2% in New london.
- Ashland has higher obesity rates at 39.3% compared to 37.1% in New london.
- There is a higher percentage of disabled individuals in Ashland at 15.0% compared to 14.0% in New london.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New london | Ashland |
|---|---|---|
| No Schooling | 1.4% (399) | 0.4% (3) |
| High School Diploma | 16.0% (4,487) | 17.8% (135) |
| Less than High School | 13.7% (3,830) | 7.4% (56) |
| Bachelor's Degree and Higher | 16.9% (4,738) | 16.9% (128) |
Education Levels Comparison: New london vs Ashland
- A higher percentage of residents in New london have no formal schooling at 1.4% compared to 0.4% in Ashland.
- In Ashland, the rate of residents with high school diplomas is higher at 17.8% compared to 16.0% in New london.
- More residents in New london have less than a high school education at 13.7% compared to 7.4% in Ashland.
- The percentage of residents with a bachelor's degree or higher is identical in both New london and Ashland at 16.9%.
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.