Demographics details for Fancy farm, KY vs New london, OH
Population Overview
Compare main population characteristics in Fancy farm, KY vs New london, OH.
Data | Fancy farm | New london |
---|---|---|
Population | 300 | 2,386 |
Median Age | 51.1 years | 37.1 years |
Median Income | $55,060 | $50,778 |
Married Families | 31.0% | 41.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.2 | 3.6 |
Population Comparison: Fancy farm vs New london
- The population in New london is higher at 2,386, compared to 300 in Fancy farm.
- Residents in Fancy farm have a higher median age of 51.1 years compared to 37.1 years in New london.
- Fancy farm has a higher median income of $55,060 compared to $50,778 in New london.
- In New london, the percentage of married families is higher at 41.0%, compared to 31.0% in Fancy farm.
- The poverty level is higher in New london at 12%, compared to 10% in Fancy farm.
- New london has a higher unemployment rate at 3.6% compared to 3.2% in Fancy farm.
Demographics
Demographics Fancy farm vs New london provide insight into the diversity of the communities to compare.
Demographic | Fancy farm | New london |
---|---|---|
Black | 3 | 2 |
White | 91 | 93 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 1 |
Two or More Races | 6 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Fancy farm vs New london
- A higher percentage of Black residents are in Fancy farm at 3% compared to 2% in New london.
- The percentage of White residents is higher in New london at 93% compared to 91% in Fancy farm.
- Both Fancy farm and New london have the same percentage of Asian residents at 0%.
- New london has a higher percentage of Hispanic residents at 1%, compared to 0% in Fancy farm.
- More residents identify as two or more races in Fancy farm at 6% compared to 4% in New london.
- The percentage of American Indian residents is the same in both Fancy farm and New london at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fancy farm | New london |
---|---|---|
Mental Health Not Good | 17.9% | 19.7% |
Physical Health Not Good | 12.6% | 14.3% |
Depression | 27.3% | 26.4% |
Smoking | 20.6% | 25.2% |
Binge Drinking | 16.7% | 18.4% |
Obesity | 37.4% | 44.0% |
Disability Percentage | 14.0% | 18.0% |
Health Statistics Comparison: Fancy farm vs New london
- In New london, a higher percentage report poor mental health at 19.7% compared to 17.9% in Fancy farm.
- Depression is more prevalent in Fancy farm at 27.3% compared to 26.4% in New london.
- New london has a higher smoking rate at 25.2% compared to 20.6% in Fancy farm.
- More residents engage in binge drinking in New london at 18.4% compared to 16.7% in Fancy farm.
- New london has higher obesity rates at 44.0% compared to 37.4% in Fancy farm.
- There is a higher percentage of disabled individuals in New london at 18.0% compared to 14.0% in Fancy farm.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fancy farm | New london |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (9) |
High School Diploma | 47.7% (143) | 29.3% (698) |
Less than High School | 5.3% (16) | 18.7% (447) |
Bachelor's Degree and Higher | 14.3% (43) | 5.2% (124) |
Education Levels Comparison: Fancy farm vs New london
- In New london, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Fancy farm.
- A higher percentage of residents in Fancy farm hold a high school diploma at 47.7% compared to 29.3% in New london.
- The percentage of residents with less than a high school education is higher in New london at 18.7%, compared to 5.3% in Fancy farm.
- A higher percentage of residents in Fancy farm hold a bachelor's degree or higher at 14.3% 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.