Demographics details for New london, OH vs Blackfoot, ID
Population Overview
Compare main population characteristics in New london, OH vs Blackfoot, ID.
| Data | New london | Blackfoot |
|---|---|---|
| Population | 2,386 | 12,702 |
| Median Age | 37.1 years | 34.4 years |
| Median Income | $50,778 | $57,951 |
| Married Families | 41.0% | 36.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 3.6 | 3.5 |
Population Comparison: New london vs Blackfoot
- The population in Blackfoot is higher at 12,702, compared to 2,386 in New london.
- Residents in New london have a higher median age of 37.1 years compared to 34.4 years in Blackfoot.
- Blackfoot has a higher median income of $57,951, compared to $50,778 in New london.
- A higher percentage of married families is found in New london at 41.0% compared to 36.0% in Blackfoot.
- The poverty level is higher in Blackfoot at 13%, compared to 12% in New london.
- The unemployment rate in New london is higher at 3.6%, compared to 3.5% in Blackfoot.
Demographics
Demographics New london vs Blackfoot provide insight into the diversity of the communities to compare.
| Demographic | New london | Blackfoot |
|---|---|---|
| Black | 2 | Data is updating |
| White | 93 | 71 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 18 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | 4 |
Demographics Comparison: New london vs Blackfoot
- A higher percentage of Black residents are in New london at 2% compared to 0% in Blackfoot.
- New london has a higher percentage of White residents at 93% compared to 71% in Blackfoot.
- Both New london and Blackfoot have the same percentage of Asian residents at 0%.
- Blackfoot has a higher percentage of Hispanic residents at 18%, compared to 1% in New london.
- The percentage of residents identifying as two or more races is higher in Blackfoot at 7%, compared to 4% in New london.
- In Blackfoot, the percentage of American Indian residents is higher at 4%, compared to 0% in New london.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New london | Blackfoot |
|---|---|---|
| Mental Health Not Good | 19.7% | 16.0% |
| Physical Health Not Good | 14.3% | 11.6% |
| Depression | 26.4% | 24.0% |
| Smoking | 25.2% | 15.8% |
| Binge Drinking | 18.4% | 14.3% |
| Obesity | 44.0% | 36.0% |
| Disability Percentage | 18.0% | 17.0% |
Health Statistics Comparison: New london vs Blackfoot
- More residents in New london report poor mental health at 19.7% compared to 16.0% in Blackfoot.
- Depression is more prevalent in New london at 26.4% compared to 24.0% in Blackfoot.
- Smoking is more prevalent in New london at 25.2% compared to 15.8% in Blackfoot.
- Binge drinking is more common in New london at 18.4% compared to 14.3% in Blackfoot.
- Obesity rates are higher in New london at 44.0% compared to 36.0% in Blackfoot.
- Disability percentages are higher in New london at 18.0% compared to 17.0% in Blackfoot.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New london | Blackfoot |
|---|---|---|
| No Schooling | 0.4% (9) | 0.1% (16) |
| High School Diploma | 29.3% (698) | 15.5% (1,974) |
| Less than High School | 18.7% (447) | 13.2% (1,678) |
| Bachelor's Degree and Higher | 5.2% (124) | 13.6% (1,726) |
Education Levels Comparison: New london vs Blackfoot
- A higher percentage of residents in New london have no formal schooling at 0.4% compared to 0.1% in Blackfoot.
- A higher percentage of residents in New london hold a high school diploma at 29.3% compared to 15.5% in Blackfoot.
- More residents in New london have less than a high school education at 18.7% compared to 13.2% in Blackfoot.
- In Blackfoot, a larger share of residents have a bachelor's degree or higher at 13.6% compared to 5.2% 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.