Demographics details for New richmond, OH vs London, KY
Population Overview
Compare main population characteristics in New richmond, OH vs London, KY.
| Data | New richmond | London |
|---|---|---|
| Population | 2,753 | 7,578 |
| Median Age | 39.5 years | 39.5 years |
| Median Income | $76,760 | $45,858 |
| Married Families | 45.0% | 35.0% |
| Poverty Level | 7% | 13% |
| Unemployment Rate | 3.2 | 3.8 |
Population Comparison: New richmond vs London
- The population in London is higher at 7,578, compared to 2,753 in New richmond.
- The median age is the same in both New richmond and London at 39.5 years.
- New richmond has a higher median income of $76,760 compared to $45,858 in London.
- A higher percentage of married families is found in New richmond at 45.0% compared to 35.0% in London.
- The poverty level is higher in London at 13%, compared to 7% in New richmond.
- London has a higher unemployment rate at 3.8% compared to 3.2% in New richmond.
Demographics
Demographics New richmond vs London provide insight into the diversity of the communities to compare.
| Demographic | New richmond | London |
|---|---|---|
| Black | 4 | 2 |
| White | 89 | 93 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 2 |
| Two or More Races | 4 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: New richmond vs London
- A higher percentage of Black residents are in New richmond at 4% compared to 2% in London.
- The percentage of White residents is higher in London at 93% compared to 89% in New richmond.
- In London, the Asian population stands at 1%, greater than 0% in New richmond.
- The Hispanic community is larger in New richmond at 3% compared to 2% in London.
- More residents identify as two or more races in New richmond at 4% compared to 2% in London.
- The percentage of American Indian residents is the same in both New richmond and London at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New richmond | London |
|---|---|---|
| Mental Health Not Good | 18.9% | 20.5% |
| Physical Health Not Good | 13.3% | 16.0% |
| Depression | 25.5% | 29.0% |
| Smoking | 24.9% | 24.5% |
| Binge Drinking | 19.0% | 14.8% |
| Obesity | 38.1% | 46.7% |
| Disability Percentage | 18.0% | 18.0% |
Health Statistics Comparison: New richmond vs London
- In London, a higher percentage report poor mental health at 20.5% compared to 18.9% in New richmond.
- Higher depression rates are seen in London at 29.0% versus 25.5% in New richmond.
- Smoking is more prevalent in New richmond at 24.9% compared to 24.5% in London.
- Binge drinking is more common in New richmond at 19.0% compared to 14.8% in London.
- London has higher obesity rates at 46.7% compared to 38.1% in New richmond.
- Disability percentages are the same in both New richmond and London at 18.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New richmond | London |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.2% (93) |
| High School Diploma | 23.4% (643) | 19.7% (1,496) |
| Less than High School | 18.1% (498) | 18.6% (1,409) |
| Bachelor's Degree and Higher | 13.4% (369) | 11.9% (900) |
Education Levels Comparison: New richmond vs London
- In London, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in New richmond.
- A higher percentage of residents in New richmond hold a high school diploma at 23.4% compared to 19.7% in London.
- The percentage of residents with less than a high school education is higher in London at 18.6%, compared to 18.1% in New richmond.
- A higher percentage of residents in New richmond hold a bachelor's degree or higher at 13.4% compared to 11.9% in 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.