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.